A matchup-first view of the team Battlefield, stored market context, player production, availability, usage patterns and meaningful personnel changes. Public betting opportunities are shown only when a model is explicitly approved for the customer feed; CFB Shadow outputs remain non-public.
AwayUNLV
FBS MATCHUPPREGAMEOctober 17, 2026 · 3:30 pm
HomeAir Force
Game Intelligence Overview
What stands out before kickoff
Start with the team-level Battlefield, then use player and personnel context to understand what is behind the matchup.
BattlefieldMatchup read ready
Opponent-adjusted team evidence supplies the directional football read for this matchup.
Position contextStill building
0 paired position groups have enough stored evidence for deeper context.
UNLV46 player profiles
Evidence coverage 59.0% · based on a 3-game team sample
Air Force44 player profiles
Evidence coverage 52.9% · based on a 2-game team sample
Personnel availabilityUnknown
0 away / 0 home explicit designation(s). Unknown means no qualifying availability report is stored — not that every player is healthy or available.
FBS Matchup Battlefield
The team-level football read
This is the directional layer for the matchup. Player and personnel context below helps explain the picture but does not silently change the Battlefield.
Overall edgeAIRF +0.4Broad team read; this game’s betting line is excluded
Recent-form edgeAIRF +5.8Current-season results only
Evidence depthCurrent-seasonHow much current-season evidence supports the read
Historical context5.3 ptsHow much earlier team evidence still moves the overall read
Matchup levelFBS vs FBSSame-level FBS matchup
This team-level read does not use the target game betting line. Player and availability context appears separately and does not silently change the Battlefield.
Personnel & Availability
Key availability questions entering the matchup
Current state + recent movement
UUNLV
Minimal impact
0 tracked availability concernsNo concentrated unit impact
No active availability designations in the latest Team snapshot.
AFAir Force
Minimal impact
0 tracked availability concernsNo concentrated unit impact
No active availability designations in the latest Team snapshot.
Personnel impact is qualitative and evidence-weighted. Recent movement is derived only from successive local snapshots; the current designation remains the scoring input and Spinnable does not infer replacement-player quality or starter status.
College Football Battlefield
What the matchup evidence says
EdgeConfidence
A team-level read built from results, schedule strength and current-season context. Player and availability information is shown separately below.
Shows the current-season-only read. Early samples carry less confidence and are shown beside the broader team read rather than replacing it.
Evidence: Current-season-only projected margin: AIRF +5.8 across at least 5 current Game(s) per side.
CFB Game Shape
How stable is the pregame picture?
Game Shape describes the evidence environment, not a betting recommendation.
Competitive BalanceHigh confidence
One-sidedTight
How close the independent projected margin is before any target-game market input.
Outcome VolatilityHigh confidence
TighterWider
The stored FBS margin distribution widens when evidence is thinner or the matchup is structurally less certain.
Signal AgreementHigh confidence
ConflictedAligned
How closely the current-season read agrees with the broader team read.
Current-Season DepthHigh confidence
ThinEstablished
How much current-season game evidence supports the matchup read.
Historical ContextHigh confidence
LightHeavy
How much earlier team evidence still influences the current matchup read.
CFB Pressure Points
Where the evidence carries the most tension
1
UNLV has the stronger schedule test
Opponent-adjusted schedule quality is one of the clearest supported differences in the current team-level evidence.
U lean · High confidence
2
Current form and the broader team read disagree
The current-season read (AIRF +5.8) is materially different from the broader team read (AIRF +0.4), increasing uncertainty around which signal will hold.
Even lean · Medium confidence
3
Historical context still matters
Earlier team evidence is still materially influencing the matchup read, so uncertainty should remain higher until current-season evidence deepens.
Even lean · Medium confidence
Evidence-Based Paths
What each side needs the current signals to get right
UNLV
Outperform the overall team gapUNLV does not begin with the stronger broad rating, so its path requires the current matchup to outperform the broader team read.
Lean on the schedule-tested profileThis side has faced the stronger opponent-adjusted schedule; its path improves if that tested profile transfers cleanly into this matchup.
Win inside the more stable projectionThe evidence distribution is comparatively tighter, placing more weight on whether the supported team-level advantages actually show up.
Air Force
Outperform the overall team gapAIRF does not begin with the stronger broad rating, so its path requires the current matchup to outperform the broader team read.
Validate the current-season signalThe current-only read is favorable; making that newer evidence hold would strengthen the case beyond the historical blend.
Win inside the more stable projectionThe evidence distribution is comparatively tighter, placing more weight on whether the supported team-level advantages actually show up.
Market Opportunities
Separate the market from the football read
Stored lines are reference data. A public opportunity appears here only when its model is explicitly approved for the customer feed; CFB Shadow output cannot leak through the Game Hub.
Betting Operating ContextNo active public recommendation
The matchup intelligence remains useful even when no wager is currently in the customer-facing Qualified or Watch feed.
Current state
Your relationshipSign in to connect Saved Opportunities and Portfolio contextThe game-level recommendation state remains the same for every reader.
Meaningful changeNo recent material changeThe Hub will surface a material betting-lifecycle or matchup-context change here when one is stored.
One decision lifecycleGame Hub explains the matchup and evidence. Betting Intelligence manages the decision, Timing, saved state, execution, Portfolio exposure, and review without changing the underlying model recommendation.
No current stored market reference is available.
The Game Hub does not fetch odds on page load. Market context appears only after the normal Sports Data pipeline stores it locally.
No public CFB model opportunity is active for this game.
CFB Moneyline and Spread remain governed Shadow lanes. The stored lines above are market reference only and do not imply a Spinnable recommendation.
Decision boundary
The projected football margin is created without the target game spread. Stored prices are introduced afterward for market comparison. Battlefield context, this Game Hub, and staff-only Shadow review cannot change qualification, Opportunity Score, lifecycle state, or promotion readiness. This panel makes no provider request.
Personnel Matchup Watchpoints
Where do player usage patterns meet the opposing unit?
Passing and rushing usage patterns are paired with the opposing defensive group to surface descriptive watchpoints. They do not score the matchup.
Matchup views4
Usage patterns4
Ready watchpoints0
Additional context1
Passing matchupUNLV role shape ↔ Air Force secondary evidence
Collecting
Usage patternDistributed
Primary usage / top two23.7% / 44.7%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
UNLV has a distributed recorded receptions usage pattern led by Taeshaun Lyons. Compare that involvement pattern with the available Air Force secondary context as something to watch, not as a matchup edge.
Rushing matchupUNLV role shape ↔ Air Force front-seven evidence
Collecting
Usage patternConcentrated
Primary usage / top two65.6% / 90.6%
Player contextBackfield · Building
Defensive contextFront seven · Building
UNLV has a concentrated recorded rushing attempts usage pattern led by Jai'Den Thomas. Compare that involvement pattern with the available Air Force front seven context as something to watch, not as a matchup edge.
Passing matchupAir Force role shape ↔ UNLV secondary evidence
Collecting
Usage patternDistributed
Primary usage / top two37.5% / 62.5%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
Air Force has a distributed recorded receptions usage pattern led by Matt Long. Compare that involvement pattern with the available UNLV secondary context as something to watch, not as a matchup edge.
Rushing matchupAir Force role shape ↔ UNLV front-seven evidence
Collecting
Usage patternMixed
Primary usage / top two47.9% / 77.1%
Player contextBackfield · Building
Defensive contextFront seven · Building
Air Force has a mixed recorded rushing attempts usage pattern led by Owen Allen. Compare that involvement pattern with the available UNLV front seven context as something to watch, not as a matchup edge.
How to use these watchpoints
They describe how recorded player involvement meets the opposing defensive group. They do not infer scheme, starters, unit quality, a personnel edge or a betting recommendation.
Personnel & Availability
What do available reports say about participation?
Only explicit, source-attributed availability information appears here. Missing statistics are never treated as an injury.
UUNLV
Unknown
Reported0
Unavailable0
Uncertain0
No qualifying availability report is available for this team.
That means availability is unknown here — not that every player is healthy, active or expected to start.
AFAir Force
Unknown
Reported0
Unavailable0
Uncertain0
No qualifying availability report is available for this team.
That means availability is unknown here — not that every player is healthy, active or expected to start.
Availability note
A player appearing on a roster, being absent from a stat line or having a zero in a box score does not establish injury, availability or starter status.
Personnel Changes
Has the personnel picture materially changed?
Only meaningful changes between comparable pregame states appear here. Ordinary statistical refreshes do not create a change alert.
Personnel change trackingTrack material personnel changes
Alerts report bounded evidence movement only. They never imply an injury, starter change, matchup edge, bet, or projection adjustment.
Change historyBuilding a comparable pregame baseline
More than one compatible pregame snapshot is needed before meaningful movement can be identified.
What a change means
A change flag means the stored personnel evidence moved materially. It does not by itself establish injury, starter status, player quality, a matchup edge, projected-margin movement or wager value.
Player & Position Context
Explore the supporting player evidence
Detailed player and position-group evidence is available on demand so the matchup read stays compact and readable.
Position groupsEvidence coverage by position group
0 groups ready
Open a position group to inspect evidence coverage, sample size and representative player production. Coverage is not a rating of unit quality.
QuarterbackBuilding
UBuilding
59%
AFBuilding
59%
BackfieldBuilding
UBuilding
59%
AFBuilding
59%
ReceiversBuilding
UBuilding
59%
AFBuilding
59%
Offensive LineRoster context only
URoster context only
0%
AFRoster context only
0%
Defensive FrontBuilding
UBuilding
59%
AFBuilding
59%
LinebackersBuilding
UBuilding
59%
AFBuilding
59%
SecondaryBuilding
UBuilding
59%
AFBuilding
59%
SpecialistsBuilding
UBuilding
59%
AFBuilding
16%
Choose a position group
Open a group to inspect evidence depth, sample size and representative player production.
Position Evidence
Quarterback
Current-season passing and quarterback rushing production represented in the available player data.
UUNLV
Building
Data coverage59%
Roster2
Player profiles2
Current0
Relevant2
Team sample3 games
Metric breadth32
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Alex OrjiQB
Earlier data
Passing Sacked Yards Lost0
Passing Yards9
Passing Yards Per Pass Avg1.8
Passing Touchdowns0
Jackson ArnoldQB
Earlier data
Passing Sacked Yards Lost92
Passing Yards601
Passing Yards Per Pass Avg7.3
Passing Touchdowns2
AFAir Force
Building
Data coverage59%
Roster3
Player profiles3
Current0
Relevant3
Team sample2 games
Metric breadth37
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample2 completed games provide developing context but remain below the full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Evan MeddersQB
Earlier data
Passing Sacked Yards Lost0
Passing Yards47
Passing Yards Per Pass Avg7.8
Passing Touchdowns1
Liam SzarkaQB
Earlier data
Passing Sacked Yards Lost7
Passing Yards122
Passing Yards Per Pass Avg8.1
Passing Touchdowns0
Kemper HodgesQB
Earlier data
Rushing Yards96
Rushing Yards Per Rush Avg8
Rushing Attempts12
Rushing Longest Rush29
Supporting evidence only
This evidence describes coverage, freshness and sample depth. It does not rate the unit, infer starters or create a matchup edge.
Position Evidence
Backfield
Rushing and receiving production represented for running backs and related backfield identities.
UUNLV
Building
Data coverage59%
Roster4
Player profiles4
Current0
Relevant4
Team sample3 games
Metric breadth35
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Darrien JonesRB
Earlier data
Rushing Yards14
Rushing Yards Per Rush Avg2.8
Rushing Touchdowns0
Receiving Yards9
Jai'Den ThomasRB
Earlier data
Rushing Yards224
Rushing Yards Per Rush Avg5.3
Rushing Touchdowns1
Receiving Yards52
Jaylon GloverRB
Earlier data
Rushing Yards89
Rushing Yards Per Rush Avg5.6
Rushing Touchdowns0
Receiving Yards18
Kamran WilliamsRB
Earlier data
Rushing Yards2
Rushing Yards Per Rush Avg2
Rushing Touchdowns0
Rushing Attempts1
AFAir Force
Building
Data coverage59%
Roster7
Player profiles7
Current0
Relevant7
Team sample2 games
Metric breadth58
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample2 completed games provide developing context but remain below the full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Gage LaDueFB
Earlier data
Rushing Yards17
Rushing Yards Per Rush Avg3.4
Rushing Touchdowns0
Defense Assisted Tackles0
Rocco ContiRB
Earlier data
Rushing Yards83
Rushing Yards Per Rush Avg5.9
Rushing Touchdowns0
Receiving Yards21
Sylas MaiavaAlaimaloRB
Earlier data
Rushing Yards4
Rushing Yards Per Rush Avg4
Rushing Touchdowns0
Receiving Yards34
Jalen Rashad TurnerRB
Earlier data
Rushing Yards9
Rushing Yards Per Rush Avg9
Rushing Touchdowns0
Rushing Attempts1
Luke RauhFB
Earlier data
Rushing Yards19
Rushing Yards Per Rush Avg9.5
Rushing Touchdowns0
Rushing Attempts2
Omari EliasFB
Earlier data
Rushing Yards4
Rushing Yards Per Rush Avg2
Rushing Touchdowns0
Rushing Attempts2
Supporting evidence only
This evidence describes coverage, freshness and sample depth. It does not rate the unit, infer starters or create a matchup edge.
Position Evidence
Receivers
Receiving production represented for wide receivers and tight ends without inferring depth-chart roles.
UUNLV
Building
Data coverage59%
Roster9
Player profiles9
Current0
Relevant9
Team sample3 games
Metric breadth50
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Kayden McGeeWR
Earlier data
Receiving Yards103
Receiving Yards Per Reception Avg20.6
Receiving Longest Reception44
Receiving Receptions5
DeAngelo Irvin Jr.WR
Earlier data
Receiving Yards30
Receiving Yards Per Reception Avg10
Receiving Longest Reception15
Receiving Receptions3
Jae Beasley IITE
Earlier data
Receiving Yards31
Receiving Yards Per Reception Avg15.5
Receiving Longest Reception16
Receiving Receptions2
Keyan BurnettTE
Earlier data
Receiving Yards75
Receiving Yards Per Reception Avg10.7
Receiving Longest Reception25
Receiving Receptions7
Matt ByrnesTE
Earlier data
Receiving Yards19
Receiving Yards Per Reception Avg9.5
Receiving Longest Reception13
Receiving Receptions2
Taeshaun LyonsWR
Earlier data
Receiving Yards71
Receiving Yards Per Reception Avg7.9
Receiving Longest Reception14
Receiving Receptions9
AFAir Force
Building
Data coverage59%
Roster6
Player profiles6
Current0
Relevant4
Team sample2 games
Metric breadth51
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample2 completed games provide developing context but remain below the full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Mason HayesWR
Earlier data
Receiving Yards1
Receiving Yards Per Reception Avg1
Receiving Longest Reception1
Receiving Receptions1
Matt LongWR
Earlier data
Receiving Yards73
Receiving Yards Per Reception Avg24.3
Receiving Longest Reception35
Receiving Receptions3
Adam HrynciwWR
Earlier data
Receiving Yards42
Receiving Yards Per Reception Avg21
Receiving Longest Reception29
Receiving Receptions2
Mason LoweWR
Earlier data
Rushing Attempts1
Rushing Longest Rush7
Rushing Touchdowns0
Rushing Yards7
Owen ChambersWR
Earlier data
Rushing Attempts1
Rushing Longest Rush9
Rushing Touchdowns0
Rushing Yards9
Simon KibbeeTE
Earlier data
Receiving Yards27
Receiving Yards Per Reception Avg13.5
Receiving Longest Reception14
Receiving Receptions2
Supporting evidence only
This evidence describes coverage, freshness and sample depth. It does not rate the unit, infer starters or create a matchup edge.
Position Evidence
Offensive Line
Roster context only. Individual offensive-line performance statistics are not available in the current data.
UUNLV
Roster context only
Data coverage0%
Roster0
Player profiles0
Current0
Relevant0
Team sample3 games
Metric breadth0
Why this evidence is shown this way
Roster identityNo offensive-line players are currently represented in the stored roster context.
Individual line-play data unavailableIndividual offensive-line performance statistics are not available in the current data, so this group remains roster context only.
Representative player profiles
No supported player profiles are represented in this position group yet.
More current-season player data may be needed before this position group has enough supporting context.
AFAir Force
Roster context only
Data coverage0%
Roster0
Player profiles0
Current0
Relevant0
Team sample2 games
Metric breadth0
Why this evidence is shown this way
Roster identityNo offensive-line players are currently represented in the stored roster context.
Individual line-play data unavailableIndividual offensive-line performance statistics are not available in the current data, so this group remains roster context only.
Representative player profiles
No supported player profiles are represented in this position group yet.
More current-season player data may be needed before this position group has enough supporting context.
Roster-context boundary
Roster identity can be represented, but individual offensive-line performance is not available here. No line-play rating or matchup edge is inferred.
Position Evidence
Defensive Front
Stored defensive production represented for front-line defenders, including supported tackle, sack and disruption families.
UUNLV
Building
Data coverage59%
Roster9
Player profiles9
Current0
Relevant9
Team sample3 games
Metric breadth117
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Andre PorterDE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Eliah LogoDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles1
Herb GrayDL
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack4
Defense Assisted Tackles1
Defense Tackles1
Jordan CovingtonDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles1
KalEl TogafauDL
Earlier data
Defense Sacks2
Defense Yards Lost On Sack8
Defense Assisted Tackles1
Defense Tackles8
Kenji ScanlanDE
Earlier data
Defense Sacks1.5
Defense Yards Lost On Sack8
Defense Assisted Tackles1
Defense Tackles3
AFAir Force
Building
Data coverage59%
Roster6
Player profiles6
Current0
Relevant5
Team sample2 games
Metric breadth72
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample2 completed games provide developing context but remain below the full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Andrew TillettDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Antonio MenardDE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles4
Chaz BarnettDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles3
Grady ForsytheDE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles1
Jayden OquendoDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles5
Defense Tackles5
Carter CremascoliDL
Earlier data
Kicking Extra Points Attempts52
Kicking Extra Points Made Pct12
Kicking Field Goals Attempts85.7
Kicking Field Goals From 1 19 Yards66.7
Supporting evidence only
This evidence describes coverage, freshness and sample depth. It does not rate the unit, infer starters or create a matchup edge.
Position Evidence
Linebackers
Stored defensive production represented for linebackers across supported tackle, sack, turnover and defensive families.
UUNLV
Building
Data coverage59%
Roster6
Player profiles6
Current0
Relevant6
Team sample3 games
Metric breadth78
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Blesyng AlualuTuiolemotuLB
Earlier data
Defense Assisted Tackles5
Defense Tackles6
Defense Unassisted Tackles1
Defense Sacks0
Cam SanteeLB
Earlier data
Defense Assisted Tackles7
Defense Tackles18
Defense Unassisted Tackles11
Defense Sacks0
Dee CraytonLB
Earlier data
Defense Assisted Tackles3
Defense Tackles9
Defense Unassisted Tackles6
Defense Sacks0
Elias RudolphLB
Earlier data
Defense Assisted Tackles1
Defense Tackles5
Defense Unassisted Tackles4
Defense Sacks1
Justin FloweLB
Earlier data
Defense Assisted Tackles0
Defense Tackles1
Defense Unassisted Tackles1
Defense Sacks0
Kamuela Ka'aihueLB
Earlier data
Defense Assisted Tackles8
Defense Tackles17
Defense Unassisted Tackles9
Defense Sacks0
AFAir Force
Building
Data coverage59%
Roster7
Player profiles7
Current0
Relevant7
Team sample2 games
Metric breadth91
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample2 completed games provide developing context but remain below the full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Blake FletcherLB
Earlier data
Defense Assisted Tackles11
Defense Tackles21
Defense Unassisted Tackles10
Defense Sacks1
Brody BujnochLB
Earlier data
Defense Assisted Tackles1
Defense Tackles1
Defense Unassisted Tackles0
Defense Sacks0
Brody WhitsonLB
Earlier data
Defense Assisted Tackles1
Defense Tackles1
Defense Unassisted Tackles0
Defense Sacks0
Dallas DaleyLB
Earlier data
Defense Assisted Tackles7
Defense Tackles12
Defense Unassisted Tackles5
Defense Sacks0
Isaac HubertLB
Earlier data
Defense Assisted Tackles1
Defense Tackles3
Defense Unassisted Tackles2
Defense Sacks0
Jaylin ReeseLB
Earlier data
Defense Assisted Tackles1
Defense Tackles2
Defense Unassisted Tackles1
Defense Sacks0
Supporting evidence only
This evidence describes coverage, freshness and sample depth. It does not rate the unit, infer starters or create a matchup edge.
Position Evidence
Secondary
Stored defensive production represented for defensive backs across supported interception, defended-pass, tackle and turnover families.
UUNLV
Building
Data coverage59%
Roster11
Player profiles11
Current0
Relevant11
Team sample3 games
Metric breadth143
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Avery HelmCB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
Denver HarrisDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
Jake PopeDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles15
Jaylen AllenDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles1
Joshua TuchekDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Landyn ClevelandS
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
AFAir Force
Building
Data coverage59%
Roster8
Player profiles8
Current0
Relevant8
Team sample2 games
Metric breadth104
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample2 completed games provide developing context but remain below the full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Alexander PerezDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles3
Cade PatersonS
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Ehimen OyamendanDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles3
Jordan Elie-StuartDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Korey JohnsonDB
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles1
Max MustellDB
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return26
Defense Assisted Tackles2
Supporting evidence only
This evidence describes coverage, freshness and sample depth. It does not rate the unit, infer starters or create a matchup edge.
Position Evidence
Specialists
Stored kicking, punting and return production represented for specialist identities.
UUNLV
Building
Data coverage59%
Roster2
Player profiles1
Current0
Relevant1
Team sample3 games
Metric breadth7
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Ramon VillelaPK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards66.7
Kicking Field Goals Made6
Kicking Field Goals Made Pct2
AFAir Force
Building
Data coverage16%
Roster1
Player profiles0
Current0
Relevant0
Team sample2 games
Metric breadth0
Why this evidence is shown this way
Data readinessThe position group does not yet meet the current data-readiness requirements.
Current-season sample2 completed games provide developing context but remain below the full-sample threshold.
Data coverage16% remains below the minimum coverage threshold for developing context.
Representative player profiles
No supported player profiles are represented in this position group yet.
More current-season player data may be needed before this position group has enough supporting context.
Supporting evidence only
This evidence describes coverage, freshness and sample depth. It does not rate the unit, infer starters or create a matchup edge.
Player productionSeason production represented in this matchup
90 profiles
These season production profiles provide context for who is represented in the data. They are not player rankings or starter projections.
UNLV46 player profiles · 0 current
Alex OrjiQB · Quarterback
Earlier data
Passing Sacked Yards Lost0
Passing Yards9
Passing Yards Per Pass Avg1.8
Passing Touchdowns0
Darrien JonesRB · Backfield
Earlier data
Rushing Yards14
Rushing Yards Per Rush Avg2.8
Rushing Touchdowns0
Receiving Yards9
Kayden McGeeWR · Receivers
Earlier data
Receiving Yards103
Receiving Yards Per Reception Avg20.6
Receiving Longest Reception44
Receiving Receptions5
Andre PorterDE · Defensive Front
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Blesyng AlualuTuiolemotuLB · Linebackers
Earlier data
Defense Assisted Tackles5
Defense Tackles6
Defense Unassisted Tackles1
Defense Sacks0
Avery HelmCB · Secondary
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
Ramon VillelaPK · Specialists
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards66.7
Kicking Field Goals Made6
Kicking Field Goals Made Pct2
Brayden Baker— · Other
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
Player production is descriptive context. It does not establish starter status, availability, player ranking or a matchup advantage.
Air Force44 player profiles · 0 current
Evan MeddersQB · Quarterback
Earlier data
Passing Sacked Yards Lost0
Passing Yards47
Passing Yards Per Pass Avg7.8
Passing Touchdowns1
Gage LaDueFB · Backfield
Earlier data
Rushing Yards17
Rushing Yards Per Rush Avg3.4
Rushing Touchdowns0
Defense Assisted Tackles0
Mason HayesWR · Receivers
Earlier data
Receiving Yards1
Receiving Yards Per Reception Avg1
Receiving Longest Reception1
Receiving Receptions1
Andrew TillettDL · Defensive Front
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Blake FletcherLB · Linebackers
Earlier data
Defense Assisted Tackles11
Defense Tackles21
Defense Unassisted Tackles10
Defense Sacks1
Alexander PerezDB · Secondary
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles3
Mikey Inweh— · Other
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
Liam SzarkaQB · Quarterback
Earlier data
Passing Sacked Yards Lost7
Passing Yards122
Passing Yards Per Pass Avg8.1
Passing Touchdowns0
Player production is descriptive context. It does not establish starter status, availability, player ranking or a matchup advantage.
How to Read This Hub
What the intelligence does — and does not — claim
Team Battlefield
Opponent-adjusted team evidence supplies the directional football read.
Player context
Player production, position-group coverage and usage patterns help explain the matchup but do not silently change the team model.
Availability
Only explicit reported participation information is shown. Missing data is treated as unknown.
Change tracking
Meaningful pregame evidence movement can be tracked, but a change flag is not automatically an advantage or recommendation.
Not inferred
The Hub does not infer starters, depth order, replacement value, scheme, snap expectations or injury status from missing statistics.
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