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.
AwayRutgers
FBS MATCHUPPREGAMEOctober 17, 2026 · 12:30 pm
HomeMaryland
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.
Rutgers39 player profiles
Evidence coverage 59.0% · based on a 3-game team sample
Maryland49 player profiles
Evidence coverage 59.0% · based on a 3-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 edgeMARY +2.6Broad team read; this game’s betting line is excluded
Recent-form edgeMARY +3.9Current-season results only
Evidence depthCurrent-seasonHow much current-season evidence supports the read
Historical context0.6 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
RRutgers
Minimal impact
0 tracked availability concernsNo concentrated unit impact
No active availability designations in the latest Team snapshot.
MMaryland
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.
Team StrengthM · Slight edge
High84% confidence
MARY leanEvidence depth: Current-season · Historical weight: 24%
The broad team read combines final results, schedule quality and bounded recent/historical context without using this game’s betting line.
Evidence: Independent projected margin: MARY +2.6. Target-game spread, moneyline, and total are excluded from the score.
Compares the quality of opponents each side has faced so schedule difficulty is visible alongside the overall team read.
Evidence: Opponent-adjusted schedule rating: RUTG +2.9 · MARY +2.3.
Current FormM · Slight edge
High78% confidence
MARY leanEvidence depth: Current-season · Historical weight: 24%
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: MARY +3.9 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.
Evidence-Based Paths
What each side needs the current signals to get right
Rutgers
Outperform the overall team gapRUTG does not begin with the stronger broad rating, so its path requires the current matchup to outperform the broader team read.
Make the secondary evidence matterNo large schedule or current-form edge is carrying the case by itself, so the result depends more heavily on the broad strength signal and normal game variance.
Win inside the more stable projectionThe evidence distribution is comparatively tighter, placing more weight on whether the supported team-level advantages actually show up.
Maryland
Make the overall team edge holdMARY owns the stronger overall team read; the cleanest path is for that broad advantage to remain representative.
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 context0
Passing matchupRutgers role shape ↔ Maryland secondary evidence
Collecting
Usage patternMixed
Primary usage / top two52.2% / 76.1%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
Rutgers has a mixed recorded receptions usage pattern led by KJ Duff. Compare that involvement pattern with the available Maryland secondary context as something to watch, not as a matchup edge.
Rushing matchupRutgers role shape ↔ Maryland front-seven evidence
Collecting
Usage patternConcentrated
Primary usage / top two81.6% / 100.0%
Player contextBackfield · Building
Defensive contextFront seven · Building
Rutgers has a concentrated recorded rushing attempts usage pattern led by Antwan Raymond. Compare that involvement pattern with the available Maryland front seven context as something to watch, not as a matchup edge.
Passing matchupMaryland role shape ↔ Rutgers secondary evidence
Collecting
Usage patternDistributed
Primary usage / top two38.4% / 61.6%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
Maryland has a distributed recorded receptions usage pattern led by Chris Durr Jr.. Compare that involvement pattern with the available Rutgers secondary context as something to watch, not as a matchup edge.
Rushing matchupMaryland role shape ↔ Rutgers front-seven evidence
Collecting
Usage patternConcentrated
Primary usage / top two52.9% / 95.7%
Player contextBackfield · Building
Defensive contextFront seven · Building
Maryland has a concentrated recorded rushing attempts usage pattern led by Iverson Howard. Compare that involvement pattern with the available Rutgers 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.
RRutgers
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.
MMaryland
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
RBuilding
59%
MBuilding
59%
BackfieldBuilding
RBuilding
59%
MBuilding
59%
ReceiversBuilding
RBuilding
59%
MBuilding
59%
Offensive LineRoster context only
RRoster context only
0%
MRoster context only
0%
Defensive FrontBuilding
RBuilding
59%
MBuilding
59%
LinebackersBuilding
RBuilding
59%
MBuilding
59%
SecondaryBuilding
RBuilding
59%
MBuilding
59%
SpecialistsBuilding
RBuilding
59%
MBuilding
59%
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.
RRutgers
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
AJ SuraceQB
Earlier data
Passing Sacked Yards Lost20
Passing Yards307
Passing Yards Per Pass Avg8.5
Passing Touchdowns4
Dylan LonerganQB
Earlier data
Passing Sacked Yards Lost23
Passing Yards494
Passing Yards Per Pass Avg7.6
Passing Touchdowns5
MMaryland
Building
Data coverage59%
Roster3
Player profiles3
Current0
Relevant3
Team sample3 games
Metric breadth48
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
Cardell WilliamsQB
Earlier data
Passing Sacked Yards Lost0
Passing Yards63
Passing Yards Per Pass Avg10.5
Passing Touchdowns1
Jack CapaldiQB
Earlier data
Passing Sacked Yards Lost0
Passing Yards35
Passing Yards Per Pass Avg17.5
Passing Touchdowns0
Malik WashingtonQB
Earlier data
Passing Sacked Yards Lost12
Passing Yards892
Passing Yards Per Pass Avg7.8
Passing Touchdowns6
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.
RRutgers
Building
Data coverage59%
Roster3
Player profiles2
Current0
Relevant2
Team sample3 games
Metric breadth33
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
Antwan RaymondRB
Earlier data
Rushing Yards298
Rushing Yards Per Rush Avg4.8
Rushing Touchdowns1
Receiving Yards65
Clay TheveninRB
Earlier data
Rushing Yards64
Rushing Yards Per Rush Avg4.6
Rushing Touchdowns1
Receiving Yards7
MMaryland
Building
Data coverage59%
Roster3
Player profiles3
Current0
Relevant3
Team sample3 games
Metric breadth30
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
DeJuan WilliamsRB
Earlier data
Rushing Yards116
Rushing Yards Per Rush Avg38.7
Rushing Touchdowns2
Receiving Yards35
Harry Dalton IIIRB
Earlier data
Rushing Yards113
Rushing Yards Per Rush Avg3.8
Rushing Touchdowns3
Receiving Yards-14
Iverson HowardRB
Earlier data
Rushing Yards143
Rushing Yards Per Rush Avg3.9
Rushing Touchdowns4
Receiving Yards26
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.
RRutgers
Building
Data coverage59%
Roster6
Player profiles5
Current0
Relevant5
Team sample3 games
Metric breadth64
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
Ben BlackWR
Earlier data
Receiving Yards110
Receiving Yards Per Reception Avg18.3
Receiving Longest Reception31
Receiving Receptions6
Jourdin HoustonWR
Earlier data
Receiving Yards109
Receiving Yards Per Reception Avg9.9
Receiving Longest Reception21
Receiving Receptions11
Vernon Allen IIIWR
Earlier data
Receiving Yards38
Receiving Yards Per Reception Avg19
Receiving Longest Reception28
Receiving Receptions2
KJ DuffWR
Earlier data
Receiving Yards419
Receiving Yards Per Reception Avg17.5
Receiving Longest Reception78
Receiving Receptions24
Logan BlakeTE
Earlier data
Receiving Yards18
Receiving Yards Per Reception Avg6
Receiving Longest Reception7
Receiving Receptions3
MMaryland
Building
Data coverage59%
Roster9
Player profiles7
Current0
Relevant7
Team sample3 games
Metric breadth53
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
Kaleb WebbWR
Earlier data
Receiving Yards167
Receiving Yards Per Reception Avg15.2
Receiving Longest Reception44
Receiving Receptions11
Chris Durr Jr.WR
Earlier data
Receiving Yards256
Receiving Yards Per Reception Avg9.1
Receiving Longest Reception24
Receiving Receptions28
AJ SzymanskiTE
Earlier data
Receiving Yards6
Receiving Yards Per Reception Avg6
Receiving Longest Reception6
Receiving Receptions1
Dorian FlemingTE
Earlier data
Receiving Yards104
Receiving Yards Per Reception Avg10.4
Receiving Longest Reception29
Receiving Receptions10
Na'eem AbdulRahim GladdingWR
Earlier data
Receiving Yards239
Receiving Yards Per Reception Avg14.1
Receiving Longest Reception60
Receiving Receptions17
Preston HowardTE
Earlier data
Receiving Yards40
Receiving Yards Per Reception Avg13.3
Receiving Longest Reception20
Receiving Receptions3
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.
RRutgers
Roster context only
Data coverage0%
Roster1
Player profiles1
Current0
Relevant0
Team sample3 games
Metric breadth13
Why this evidence is shown this way
Roster identity1 offensive-line players are 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
Terrence SalamiOL
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
MMaryland
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.
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.
RRutgers
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
DJ AllenDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles2
Farell GnagoDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles3
J'Dan BurnettDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles3
Jaedin LeeDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles1
Keshon GriffinDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles3
Defense Tackles4
Malachi DavisDE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles4
MMaryland
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
Bryce JenkinsDL
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack1
Defense Assisted Tackles1
Defense Tackles1
Daniel OwensDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles0
Defense Tackles3
DD HolmesDL
Earlier data
Defense Sacks2.5
Defense Yards Lost On Sack16
Defense Assisted Tackles1
Defense Tackles3
Derrick LeBlancDT
Earlier data
Defense Sacks2
Defense Yards Lost On Sack4
Defense Assisted Tackles2
Defense Tackles5
Edwin Moore Jr.DL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Eyan ThomasDL
Earlier data
Defense Sacks2
Defense Yards Lost On Sack14
Defense Assisted Tackles4
Defense Tackles9
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.
RRutgers
Building
Data coverage59%
Roster4
Player profiles4
Current0
Relevant4
Team sample3 games
Metric breadth52
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
Abram WrightLB
Earlier data
Defense Assisted Tackles4
Defense Tackles5
Defense Unassisted Tackles1
Defense Sacks0
Moses WalkerLB
Earlier data
Defense Assisted Tackles8
Defense Tackles12
Defense Unassisted Tackles4
Defense Sacks1
Sean AllisonLB
Earlier data
Defense Assisted Tackles3
Defense Tackles11
Defense Unassisted Tackles8
Defense Sacks0
Ty Anthony MorrisLB
Earlier data
Defense Assisted Tackles8
Defense Tackles13
Defense Unassisted Tackles5
Defense Sacks0
MMaryland
Building
Data coverage59%
Roster5
Player profiles5
Current0
Relevant5
Team sample3 games
Metric breadth65
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
Carlton SmithLB
Earlier data
Defense Assisted Tackles7
Defense Tackles17
Defense Unassisted Tackles10
Defense Sacks0
Daniel WingateLB
Earlier data
Defense Assisted Tackles9
Defense Tackles18
Defense Unassisted Tackles9
Defense Sacks0
Keyari JamesLB
Earlier data
Defense Assisted Tackles1
Defense Tackles4
Defense Unassisted Tackles3
Defense Sacks0
Stephen DeanLB
Earlier data
Defense Assisted Tackles2
Defense Tackles2
Defense Unassisted Tackles0
Defense Sacks0
Trey ReddickLB
Earlier data
Defense Assisted Tackles5
Defense Tackles18
Defense Unassisted Tackles13
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.
RRutgers
Building
Data coverage59%
Roster9
Player profiles9
Current0
Relevant9
Team sample3 games
Metric breadth122
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
Jessie OfurieDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles10
Bradlee JonesDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles8
Chris JoinesDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles8
DK GilleyDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles13
Kaj SandersDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles7
Kevin LevyDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
MMaryland
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
Alex MooreDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Amari JacksonDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Jamare GlaskerDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Jayden ShippsDB
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return39
Defense Assisted Tackles1
Jordan ScruggsCB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
Judah JenkinsDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
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.
RRutgers
Building
Data coverage59%
Roster2
Player profiles2
Current0
Relevant1
Team sample3 games
Metric breadth18
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
Jakob AndersonP
Earlier data
Passing Attempts1
Passing Completion Pct100
Passing Completions1
Passing Interceptions0
Dane PizzaroPK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards0
Kicking Field Goals Made11
Kicking Field Goals Made Pct0
MMaryland
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
Sean O'HairePK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards75
Kicking Field Goals Made14
Kicking Field Goals Made Pct3
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
88 profiles
These season production profiles provide context for who is represented in the data. They are not player rankings or starter projections.
Rutgers39 player profiles · 0 current
AJ SuraceQB · Quarterback
Earlier data
Passing Sacked Yards Lost20
Passing Yards307
Passing Yards Per Pass Avg8.5
Passing Touchdowns4
Antwan RaymondRB · Backfield
Earlier data
Rushing Yards298
Rushing Yards Per Rush Avg4.8
Rushing Touchdowns1
Receiving Yards65
Ben BlackWR · Receivers
Earlier data
Receiving Yards110
Receiving Yards Per Reception Avg18.3
Receiving Longest Reception31
Receiving Receptions6
DJ AllenDL · Defensive Front
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles2
Abram WrightLB · Linebackers
Earlier data
Defense Assisted Tackles4
Defense Tackles5
Defense Unassisted Tackles1
Defense Sacks0
Jessie OfurieDB · Secondary
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles10
Jakob AndersonP · Specialists
Earlier data
Passing Attempts1
Passing Completion Pct100
Passing Completions1
Passing Interceptions0
Terrence SalamiOL · Offensive Line
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.
Maryland49 player profiles · 0 current
Cardell WilliamsQB · Quarterback
Earlier data
Passing Sacked Yards Lost0
Passing Yards63
Passing Yards Per Pass Avg10.5
Passing Touchdowns1
DeJuan WilliamsRB · Backfield
Earlier data
Rushing Yards116
Rushing Yards Per Rush Avg38.7
Rushing Touchdowns2
Receiving Yards35
Kaleb WebbWR · Receivers
Earlier data
Receiving Yards167
Receiving Yards Per Reception Avg15.2
Receiving Longest Reception44
Receiving Receptions11
Bryce JenkinsDL · Defensive Front
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack1
Defense Assisted Tackles1
Defense Tackles1
Carlton SmithLB · Linebackers
Earlier data
Defense Assisted Tackles7
Defense Tackles17
Defense Unassisted Tackles10
Defense Sacks0
Alex MooreDB · Secondary
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Sean O'HairePK · Specialists
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards75
Kicking Field Goals Made14
Kicking Field Goals Made Pct3
Jayden Kitchens— · 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.
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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