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.
AwayPenn State
FBS MATCHUPPREGAMEOctober 17, 2026 · 12:00 am
HomeMichigan
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.
Penn State53 player profiles
Evidence coverage 59.0% · based on a 3-game team sample
Michigan43 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.
AwayPenn State
CFB · 2026 Season · Week 7MATCHUP MAPOctober 17, 2026 · 12:00 am
HomeMichigan
Matchup Foundation
What supports the team-level read
Overall edgePENN +1.0Broad team read; this game’s betting line is excluded
Recent-form edgePENN +2.4Current-season results only
Evidence depthCurrent-seasonHow much current-season evidence supports the read
Historical context1.1 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
PSPenn State
Minimal impact
0 tracked availability concernsNo concentrated unit impact
No active availability designations in the latest Team snapshot.
MMichigan
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 StrengthPS · Even
High84% confidence
PENN leanEvidence depth: Current-season · Historical weight: 100%
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: PENN +1.0. 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: PENN +3.5 · MICH +4.7.
Current FormPS · Slight edge
High78% confidence
PENN leanEvidence depth: Current-season · Historical weight: 100%
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: PENN +2.4 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
Penn State
Outperform the overall team gapPENN 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.
Michigan
Outperform the overall team gapMICH 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.
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.
Stored market reference1xBet
Aging · 11.5 hr old
SpreadPair integrity
UnavailableCanonical pair not verified
Moneyline2 sides
Michigan-227
Penn State+170
Total2 sides
Over +40.5-169
Under +40.5+127
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 matchupPenn State role shape ↔ Michigan secondary evidence
Collecting
Usage patternDistributed
Primary usage / top two24.5% / 42.9%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
Penn State has a distributed recorded receptions usage pattern led by Koby Howard. Compare that involvement pattern with the available Michigan secondary context as something to watch, not as a matchup edge.
Rushing matchupPenn State role shape ↔ Michigan front-seven evidence
Collecting
Usage patternDistributed
Primary usage / top two35.7% / 59.2%
Player contextBackfield · Building
Defensive contextFront seven · Building
Penn State has a distributed recorded rushing attempts usage pattern led by Carson Hansen. Compare that involvement pattern with the available Michigan front seven context as something to watch, not as a matchup edge.
Passing matchupMichigan role shape ↔ Penn State secondary evidence
Collecting
Usage patternConcentrated
Primary usage / top two46.9% / 93.8%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
Michigan has a concentrated recorded receptions usage pattern led by Andrew Marsh. Compare that involvement pattern with the available Penn State secondary context as something to watch, not as a matchup edge.
Rushing matchupMichigan role shape ↔ Penn State front-seven evidence
Collecting
Usage patternConcentrated
Primary usage / top two77.3% / 95.5%
Player contextBackfield · Building
Defensive contextFront seven · Building
Michigan has a concentrated recorded rushing attempts usage pattern led by Jordan Marshall. Compare that involvement pattern with the available Penn State 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.
PSPenn State
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.
MMichigan
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
PSBuilding
59%
MBuilding
59%
BackfieldBuilding
PSBuilding
59%
MBuilding
59%
ReceiversBuilding
PSBuilding
59%
MBuilding
59%
Offensive LineRoster context only
PSRoster context only
0%
MRoster context only
0%
Defensive FrontBuilding
PSBuilding
59%
MBuilding
59%
LinebackersBuilding
PSBuilding
59%
MBuilding
59%
SecondaryBuilding
PSBuilding
59%
MBuilding
59%
SpecialistsBuilding
PSBuilding
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.
PSPenn State
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
Alex ManskeQB
Earlier data
Passing Sacked Yards Lost0
Passing Yards102
Passing Yards Per Pass Avg7.3
Passing Touchdowns0
Connor BarryQB
Earlier data
Passing Sacked Yards Lost0
Passing Yards8
Passing Yards Per Pass Avg4
Passing Touchdowns0
Rocco BechtQB
Earlier data
Passing Sacked Yards Lost13
Passing Yards751
Passing Yards Per Pass Avg11.7
Passing Touchdowns9
MMichigan
Building
Data coverage59%
Roster1
Player profiles1
Current0
Relevant1
Team sample3 games
Metric breadth16
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 UnderwoodQB
Earlier data
Passing Sacked Yards Lost14
Passing Yards504
Passing Yards Per Pass Avg7.9
Passing Touchdowns3
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.
PSPenn State
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
Cam WallaceRB
Earlier data
Rushing Yards121
Rushing Yards Per Rush Avg6
Rushing Touchdowns2
Receiving Yards7
Carson HansenRB
Earlier data
Rushing Yards169
Rushing Yards Per Rush Avg4.8
Rushing Touchdowns1
Receiving Yards13
Quinton Martin Jr.RB
Earlier data
Rushing Yards138
Rushing Yards Per Rush Avg6.9
Rushing Touchdowns1
Receiving Yards-1
James PeoplesRB
Earlier data
Rushing Yards132
Rushing Yards Per Rush Avg5.7
Rushing Touchdowns2
Rushing Attempts23
MMichigan
Building
Data coverage59%
Roster4
Player profiles4
Current0
Relevant4
Team sample3 games
Metric breadth25
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
Jordan MarshallRB
Earlier data
Rushing Yards135
Rushing Yards Per Rush Avg4
Rushing Touchdowns2
Receiving Yards33
Bryson KuzdzalRB
Earlier data
Rushing Yards26
Rushing Yards Per Rush Avg3.3
Rushing Touchdowns0
Rushing Attempts8
Donovan JohnsonRB
Earlier data
Rushing Yards-2
Rushing Yards Per Rush Avg-2
Rushing Touchdowns0
Rushing Attempts1
Tomas O'MearaRB
Earlier data
Rushing Yards5
Rushing Yards Per Rush Avg5
Rushing Touchdowns0
Rushing Attempts1
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.
PSPenn State
Building
Data coverage59%
Roster11
Player profiles11
Current0
Relevant9
Team sample3 games
Metric breadth68
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
Donte NastasiWR
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
Koby HowardWR
Earlier data
Receiving Yards344
Receiving Yards Per Reception Avg28.7
Receiving Longest Reception70
Receiving Receptions12
Andrew RappleyeaTE
Earlier data
Receiving Yards47
Receiving Yards Per Reception Avg9.4
Receiving Longest Reception18
Receiving Receptions5
Benjamin BrahmerTE
Earlier data
Receiving Yards97
Receiving Yards Per Reception Avg13.9
Receiving Longest Reception23
Receiving Receptions7
Brett EskildsenWR
Earlier data
Receiving Yards83
Receiving Yards Per Reception Avg9.2
Receiving Longest Reception25
Receiving Receptions9
Chase SowellWR
Earlier data
Receiving Yards126
Receiving Yards Per Reception Avg15.8
Receiving Longest Reception35
Receiving Receptions8
MMichigan
Building
Data coverage59%
Roster5
Player profiles5
Current0
Relevant3
Team sample3 games
Metric breadth38
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
Kendrick BellWR
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
Andrew MarshWR
Earlier data
Receiving Yards133
Receiving Yards Per Reception Avg8.9
Receiving Longest Reception34
Receiving Receptions15
Eli OwensTE
Earlier data
Rushing Attempts1
Rushing Longest Rush7
Rushing Touchdowns0
Rushing Yards7
Jalen HoffmanTE
Earlier data
Receiving Yards22
Receiving Yards Per Reception Avg11
Receiving Longest Reception13
Receiving Receptions2
JJ BuchananTE
Earlier data
Receiving Yards266
Receiving Yards Per Reception Avg17.7
Receiving Longest Reception47
Receiving Receptions15
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.
PSPenn State
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.
MMichigan
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.
PSPenn State
Building
Data coverage59%
Roster12
Player profiles11
Current0
Relevant10
Team sample3 games
Metric breadth135
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
Alexander McPhersonDE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles5
Armstrong NnodimDE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Dallas VakalahiDT
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
De'Andre CookDT
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles2
Ikenna EzeoguDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles3
Defense Tackles6
Keanu WilliamsDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles3
Defense Tackles4
MMichigan
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
Benny PattersonDL
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack4
Defense Assisted Tackles3
Defense Tackles3
Bobby KankaDL
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack1
Defense Assisted Tackles1
Defense Tackles1
Cameron BrandtEDGE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles2
Deyvid PalepaleDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Dominic NicholsEDGE
Earlier data
Defense Sacks2
Defense Yards Lost On Sack9
Defense Assisted Tackles6
Defense Tackles11
Enow EttaDL
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack1
Defense Assisted Tackles6
Defense Tackles8
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.
PSPenn State
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
Alex TatschLB
Earlier data
Defense Assisted Tackles2
Defense Tackles6
Defense Unassisted Tackles4
Defense Sacks1
Cael BrezinaLB
Earlier data
Defense Assisted Tackles5
Defense Tackles15
Defense Unassisted Tackles10
Defense Sacks0
Caleb BaconLB
Earlier data
Defense Assisted Tackles1
Defense Tackles13
Defense Unassisted Tackles12
Defense Sacks1
Cam SmithLB
Earlier data
Defense Assisted Tackles4
Defense Tackles4
Defense Unassisted Tackles0
Defense Sacks0
Kooper EbelLB
Earlier data
Defense Assisted Tackles2
Defense Tackles10
Defense Unassisted Tackles8
Defense Sacks1
Tony RojasLB
Earlier data
Defense Assisted Tackles4
Defense Tackles16
Defense Unassisted Tackles12
Defense Sacks1
MMichigan
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
Aisea MoaLB
Earlier data
Defense Assisted Tackles1
Defense Tackles2
Defense Unassisted Tackles1
Defense Sacks0
Chase TaylorLB
Earlier data
Defense Assisted Tackles7
Defense Tackles12
Defense Unassisted Tackles5
Defense Sacks1
Max AlfordLB
Earlier data
Defense Assisted Tackles1
Defense Tackles4
Defense Unassisted Tackles3
Defense Sacks0
Nathaniel OwusuBoatengLB
Earlier data
Defense Assisted Tackles0
Defense Tackles3
Defense Unassisted Tackles3
Defense Sacks0
Nathaniel StaehlingLB
Earlier data
Defense Assisted Tackles9
Defense Tackles16
Defense Unassisted Tackles7
Defense Sacks0
Troy BowlesLB
Earlier data
Defense Assisted Tackles12
Defense Tackles25
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.
PSPenn State
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
Audavion CollinsCB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
Daryus DixsonCB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Ibn McDanielsDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles1
Jahmir JosephCB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Jamison PattonDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles3
Jeremiah CooperDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles1
MMichigan
Building
Data coverage59%
Roster10
Player profiles8
Current0
Relevant8
Team sample3 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 sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Chris BracyDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles5
Jacob OdenDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Jordan YoungDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Jyaire HillDB
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return24
Defense Assisted Tackles7
Mason CurtisDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Nico AndrighettoDB
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.
PSPenn State
Building
Data coverage59%
Roster4
Player profiles2
Current0
Relevant2
Team sample3 games
Metric breadth14
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
Matthew ParkerPK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards0
Kicking Field Goals Made1
Kicking Field Goals Made Pct0
Ryan BarkerPK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards83.3
Kicking Field Goals Made15
Kicking Field Goals Made Pct5
MMichigan
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
Trey ButkowskiPK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards100
Kicking Field Goals Made10
Kicking Field Goals Made Pct2
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
96 profiles
These season production profiles provide context for who is represented in the data. They are not player rankings or starter projections.
Penn State53 player profiles · 0 current
Alex ManskeQB · Quarterback
Earlier data
Passing Sacked Yards Lost0
Passing Yards102
Passing Yards Per Pass Avg7.3
Passing Touchdowns0
Cam WallaceRB · Backfield
Earlier data
Rushing Yards121
Rushing Yards Per Rush Avg6
Rushing Touchdowns2
Receiving Yards7
Donte NastasiWR · Receivers
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
Alexander McPhersonDE · Defensive Front
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles5
Alex TatschLB · Linebackers
Earlier data
Defense Assisted Tackles2
Defense Tackles6
Defense Unassisted Tackles4
Defense Sacks1
Audavion CollinsCB · Secondary
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
Matthew ParkerPK · Specialists
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards0
Kicking Field Goals Made1
Kicking Field Goals Made Pct0
Bryson Williams— · Other
Earlier data
Defense Assisted Tackles1
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.
Michigan43 player profiles · 0 current
Bryce UnderwoodQB · Quarterback
Earlier data
Passing Sacked Yards Lost14
Passing Yards504
Passing Yards Per Pass Avg7.9
Passing Touchdowns3
Jordan MarshallRB · Backfield
Earlier data
Rushing Yards135
Rushing Yards Per Rush Avg4
Rushing Touchdowns2
Receiving Yards33
Kendrick BellWR · Receivers
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
Benny PattersonDL · Defensive Front
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack4
Defense Assisted Tackles3
Defense Tackles3
Aisea MoaLB · Linebackers
Earlier data
Defense Assisted Tackles1
Defense Tackles2
Defense Unassisted Tackles1
Defense Sacks0
Chris BracyDB · Secondary
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles5
Trey ButkowskiPK · Specialists
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards100
Kicking Field Goals Made10
Kicking Field Goals Made Pct2
Tommy Carr— · Other
Earlier data
Passing Attempts2
Passing Completion Pct100
Passing Completions2
Passing Interceptions0
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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