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.
AwayNorthwestern
FBS MATCHUPPREGAMEOctober 17, 2026 · 12:00 pm
HomeMichigan State
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.
Northwestern37 player profiles
Evidence coverage 59.0% · based on a 2-game team sample
Michigan State44 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 edgeNORT +6.1Broad team read; this game’s betting line is excluded
Recent-form edgeNORT +10.4Current-season results only
Evidence depthCurrent-seasonHow much current-season evidence supports the read
Historical context2.5 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
NNorthwestern
Minimal impact
0 tracked availability concernsNo concentrated unit impact
No active availability designations in the latest Team snapshot.
MSMichigan State
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: NORT +10.4 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.
CFB Pressure Points
Where the evidence carries the most tension
1
MICH has the stronger schedule test
Opponent-adjusted schedule quality is one of the clearest supported differences in the current team-level evidence.
MS lean · High confidence
Evidence-Based Paths
What each side needs the current signals to get right
Northwestern
Make the overall team edge holdNORT 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.
Michigan State
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.
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 matchupNorthwestern role shape ↔ Michigan State secondary evidence
Collecting
Usage patternMixed
Primary usage / top two44.4% / 72.2%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
Northwestern has a mixed recorded receptions usage pattern led by Griffin Wilde. Compare that involvement pattern with the available Michigan State secondary context as something to watch, not as a matchup edge.
Rushing matchupNorthwestern role shape ↔ Michigan State front-seven evidence
Collecting
Usage patternMixed
Primary usage / top two40.4% / 78.8%
Player contextBackfield · Building
Defensive contextFront seven · Building
Northwestern has a mixed recorded rushing attempts usage pattern led by Caleb Komolafe. Compare that involvement pattern with the available Michigan State front seven context as something to watch, not as a matchup edge.
Passing matchupMichigan State role shape ↔ Northwestern secondary evidence
Collecting
Usage patternDistributed
Primary usage / top two25.0% / 47.9%
Player contextQB + receivers · Building
Defensive contextSecondary · Building
Michigan State has a distributed recorded receptions usage pattern led by Rodney Bullard. Compare that involvement pattern with the available Northwestern secondary context as something to watch, not as a matchup edge.
Rushing matchupMichigan State role shape ↔ Northwestern front-seven evidence
Collecting
Usage patternConcentrated
Primary usage / top two64.5% / 80.6%
Player contextBackfield · Building
Defensive contextFront seven · Building
Michigan State has a concentrated recorded rushing attempts usage pattern led by Camryn Edwards. Compare that involvement pattern with the available Northwestern 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.
NNorthwestern
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.
MSMichigan 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.
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
NBuilding
59%
MSBuilding
59%
BackfieldBuilding
NBuilding
59%
MSBuilding
59%
ReceiversBuilding
NBuilding
59%
MSBuilding
59%
Offensive LineRoster context only
NRoster context only
0%
MSRoster context only
0%
Defensive FrontBuilding
NBuilding
59%
MSBuilding
59%
LinebackersBuilding
NBuilding
59%
MSBuilding
59%
SecondaryBuilding
NBuilding
59%
MSBuilding
59%
SpecialistsBuilding
NBuilding
59%
MSBuilding
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.
NNorthwestern
Building
Data coverage59%
Roster3
Player profiles3
Current0
Relevant3
Team sample2 games
Metric breadth26
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
Aidan ChilesQB
Earlier data
Passing Sacked Yards Lost20
Passing Yards514
Passing Yards Per Pass Avg11.2
Passing Touchdowns4
Marcus RomainQB
Earlier data
Rushing Yards5
Rushing Yards Per Rush Avg1.3
Rushing Attempts4
Rushing Longest Rush4
Nicco MarchiolQB
Earlier data
Rushing Yards19
Rushing Yards Per Rush Avg19
Rushing Attempts1
Rushing Longest Rush19
MSMichigan State
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
Alessio MilivojevicQB
Earlier data
Passing Sacked Yards Lost65
Passing Yards540
Passing Yards Per Pass Avg7.6
Passing Touchdowns3
Cam FancherQB
Earlier data
Passing Sacked Yards Lost0
Passing Yards44
Passing Yards Per Pass Avg6.3
Passing Touchdowns0
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.
NNorthwestern
Building
Data coverage59%
Roster4
Player profiles4
Current0
Relevant4
Team sample2 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 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
Caleb KomolafeRB
Earlier data
Rushing Yards95
Rushing Yards Per Rush Avg4.5
Rushing Touchdowns1
Receiving Yards64
Joseph Himon IIRB
Earlier data
Rushing Yards115
Rushing Yards Per Rush Avg14.4
Rushing Touchdowns1
Receiving Yards61
Daniel AndersonRB
Earlier data
Rushing Yards14
Rushing Yards Per Rush Avg4.7
Rushing Touchdowns0
Rushing Attempts3
Gavin SawchukRB
Earlier data
Rushing Yards117
Rushing Yards Per Rush Avg5.8
Rushing Touchdowns0
Rushing Attempts20
MSMichigan State
Building
Data coverage59%
Roster6
Player profiles6
Current0
Relevant6
Team sample3 games
Metric breadth40
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
Camryn EdwardsRB
Earlier data
Rushing Yards288
Rushing Yards Per Rush Avg4.8
Rushing Touchdowns3
Receiving Yards12
Marvis ParrishRB
Earlier data
Rushing Yards47
Rushing Yards Per Rush Avg3.1
Rushing Touchdowns0
Receiving Yards-1
Brandon TullisRB
Earlier data
Rushing Yards37
Rushing Yards Per Rush Avg9.3
Rushing Touchdowns0
Rushing Attempts4
Jaziun PattersonRB
Earlier data
Rushing Yards46
Rushing Yards Per Rush Avg4.6
Rushing Touchdowns1
Rushing Attempts10
Kenneth WilliamsRB
Earlier data
Rushing Yards8
Rushing Yards Per Rush Avg8
Rushing Touchdowns0
Rushing Attempts1
Zion GistRB
Earlier data
Rushing Yards5
Rushing Yards Per Rush Avg1.7
Rushing Touchdowns0
Rushing Attempts3
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.
NNorthwestern
Building
Data coverage59%
Roster7
Player profiles6
Current0
Relevant5
Team sample2 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 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
Drew WagnerWR
Earlier data
Receiving Yards59
Receiving Yards Per Reception Avg11.8
Receiving Longest Reception22
Receiving Receptions5
Alex HonigTE
Earlier data
Receiving Yards25
Receiving Yards Per Reception Avg12.5
Receiving Longest Reception14
Receiving Receptions2
Griffin WildeWR
Earlier data
Receiving Yards189
Receiving Yards Per Reception Avg23.6
Receiving Longest Reception71
Receiving Receptions8
Hayden Eligon IIWR
Earlier data
Receiving Yards8
Receiving Yards Per Reception Avg8
Receiving Longest Reception8
Receiving Receptions1
Ricky AhumaraezeWR
Earlier data
Receiving Yards40
Receiving Yards Per Reception Avg20
Receiving Longest Reception24
Receiving Receptions2
Robby PreckelTE
Earlier data
Rushing Attempts1
Rushing Longest Rush1
Rushing Touchdowns0
Rushing Yards1
MSMichigan State
Building
Data coverage59%
Roster9
Player profiles8
Current0
Relevant8
Team sample3 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 sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Chrishon McCrayWR
Earlier data
Receiving Yards84
Receiving Yards Per Reception Avg7.6
Receiving Longest Reception20
Receiving Receptions11
Braylon CollierWR
Earlier data
Receiving Yards23
Receiving Yards Per Reception Avg11.5
Receiving Longest Reception17
Receiving Receptions2
Brennan ParachekTE
Earlier data
Receiving Yards10
Receiving Yards Per Reception Avg10
Receiving Longest Reception10
Receiving Receptions1
Charles TaplinWR
Earlier data
Receiving Yards65
Receiving Yards Per Reception Avg21.7
Receiving Longest Reception38
Receiving Receptions3
Fredrick MooreWR
Earlier data
Receiving Yards56
Receiving Yards Per Reception Avg9.3
Receiving Longest Reception18
Receiving Receptions6
Jayden SavouryTE
Earlier data
Receiving Yards129
Receiving Yards Per Reception Avg11.7
Receiving Longest Reception46
Receiving Receptions11
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.
NNorthwestern
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.
MSMichigan State
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
Nick SharpeOL
Earlier data
Defense Assisted Tackles0
Defense Forced Fumbles0
Defense Fumbles Recovered0
Defense Fumbles Returned For Touchdowns0
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.
NNorthwestern
Building
Data coverage59%
Roster10
Player profiles9
Current0
Relevant9
Team sample2 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 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
Brendan FlakesDL
Earlier data
Defense Sacks1
Defense Yards Lost On Sack6
Defense Assisted Tackles4
Defense Tackles7
Caden O'RourkeDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles0
Defense Tackles1
Callen CampbellDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles0
Defense Tackles1
Dominic KirksDE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles4
Dylan RobertsDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Jamaal JohnsonEDGE
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles2
Defense Tackles4
MSMichigan State
Building
Data coverage59%
Roster8
Player profiles7
Current0
Relevant7
Team sample3 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 sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Anelu LafaeleEDGE
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack5
Defense Assisted Tackles1
Defense Tackles1
Cal ThrushDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles1
Derrick SimmonsDL
Earlier data
Defense Sacks0
Defense Yards Lost On Sack0
Defense Assisted Tackles1
Defense Tackles2
Eli CoenenDL
Earlier data
Defense Sacks3
Defense Yards Lost On Sack22
Defense Assisted Tackles6
Defense Tackles12
Isaac SmithEDGE
Earlier data
Defense Sacks1
Defense Yards Lost On Sack1
Defense Assisted Tackles2
Defense Tackles4
Keahnist ThompsonDE
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack1
Defense Assisted Tackles5
Defense Tackles6
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.
NNorthwestern
Building
Data coverage59%
Roster5
Player profiles5
Current0
Relevant5
Team sample2 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 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
Braydon BrusLB
Earlier data
Defense Assisted Tackles10
Defense Tackles16
Defense Unassisted Tackles6
Defense Sacks1
Jack SadowskyLB
Earlier data
Defense Assisted Tackles2
Defense Tackles2
Defense Unassisted Tackles0
Defense Sacks0
Kobie McKinzieLB
Earlier data
Defense Assisted Tackles7
Defense Tackles13
Defense Unassisted Tackles6
Defense Sacks1
Matthew SmithLB
Earlier data
Defense Assisted Tackles0
Defense Tackles1
Defense Unassisted Tackles1
Defense Sacks0
Payton RothLB
Earlier data
Defense Assisted Tackles0
Defense Tackles2
Defense Unassisted Tackles2
Defense Sacks0
MSMichigan State
Building
Data coverage59%
Roster7
Player profiles7
Current0
Relevant7
Team sample3 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 sample3 completed games meet the current full-sample threshold.
Data coverage59% remains below the minimum coverage threshold for developing context.
Representative player profiles
Brady PretzlaffLB
Earlier data
Defense Assisted Tackles10
Defense Tackles17
Defense Unassisted Tackles7
Defense Sacks0
Caleb WheatlandLB
Earlier data
Defense Assisted Tackles4
Defense Tackles8
Defense Unassisted Tackles4
Defense Sacks0
DiMari MaloneLB
Earlier data
Defense Assisted Tackles0
Defense Tackles2
Defense Unassisted Tackles2
Defense Sacks0
Dion CrawfordLB
Earlier data
Defense Assisted Tackles9
Defense Tackles12
Defense Unassisted Tackles3
Defense Sacks0
Jordan HallLB
Earlier data
Defense Assisted Tackles7
Defense Tackles17
Defense Unassisted Tackles10
Defense Sacks0
Kenny Soares Jr.LB
Earlier data
Defense Assisted Tackles4
Defense Tackles6
Defense Unassisted Tackles2
Defense Sacks1
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.
NNorthwestern
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
Braden TurnerDB
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return22
Defense Assisted Tackles7
Damon WaltersDB
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return4
Defense Assisted Tackles6
Jon Jon StevensDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Josh FussellDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles2
Montae PateCB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles1
Ore AdeyiDB
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles3
MSMichigan State
Building
Data coverage59%
Roster13
Player profiles12
Current0
Relevant12
Team sample3 games
Metric breadth156
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
Caleb GashDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Cam StodghillDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Charles BrantleyDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles5
Deuce EdwardsDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Devin VaughtDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles8
Keshawn WilliamsDB
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles1
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.
NNorthwestern
Building
Data coverage59%
Roster2
Player profiles1
Current0
Relevant1
Team sample2 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 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
Jackson KleatherPK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards100
Kicking Field Goals Made9
Kicking Field Goals Made Pct4
MSMichigan State
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
Liam BoydPK
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards85.7
Kicking Field Goals Made7
Kicking Field Goals Made Pct6
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
81 profiles
These season production profiles provide context for who is represented in the data. They are not player rankings or starter projections.
Northwestern37 player profiles · 0 current
Aidan ChilesQB · Quarterback
Earlier data
Passing Sacked Yards Lost20
Passing Yards514
Passing Yards Per Pass Avg11.2
Passing Touchdowns4
Caleb KomolafeRB · Backfield
Earlier data
Rushing Yards95
Rushing Yards Per Rush Avg4.5
Rushing Touchdowns1
Receiving Yards64
Drew WagnerWR · Receivers
Earlier data
Receiving Yards59
Receiving Yards Per Reception Avg11.8
Receiving Longest Reception22
Receiving Receptions5
Brendan FlakesDL · Defensive Front
Earlier data
Defense Sacks1
Defense Yards Lost On Sack6
Defense Assisted Tackles4
Defense Tackles7
Braydon BrusLB · Linebackers
Earlier data
Defense Assisted Tackles10
Defense Tackles16
Defense Unassisted Tackles6
Defense Sacks1
Braden TurnerDB · Secondary
Earlier data
Defense Interceptions1
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return22
Defense Assisted Tackles7
Jackson KleatherPK · Specialists
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards100
Kicking Field Goals Made9
Kicking Field Goals Made Pct4
Amare Jordan— · 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.
Michigan State44 player profiles · 0 current
Alessio MilivojevicQB · Quarterback
Earlier data
Passing Sacked Yards Lost65
Passing Yards540
Passing Yards Per Pass Avg7.6
Passing Touchdowns3
Camryn EdwardsRB · Backfield
Earlier data
Rushing Yards288
Rushing Yards Per Rush Avg4.8
Rushing Touchdowns3
Receiving Yards12
Chrishon McCrayWR · Receivers
Earlier data
Receiving Yards84
Receiving Yards Per Reception Avg7.6
Receiving Longest Reception20
Receiving Receptions11
Anelu LafaeleEDGE · Defensive Front
Earlier data
Defense Sacks0.5
Defense Yards Lost On Sack5
Defense Assisted Tackles1
Defense Tackles1
Brady PretzlaffLB · Linebackers
Earlier data
Defense Assisted Tackles10
Defense Tackles17
Defense Unassisted Tackles7
Defense Sacks0
Caleb GashDB · Secondary
Earlier data
Defense Interceptions0
Defense Interceptions Returned For Touchdowns0
Defense Longest Interception Return0
Defense Assisted Tackles0
Liam BoydPK · Specialists
Earlier data
Kicking Field Goals Attempts100
Kicking Field Goals From 1 19 Yards85.7
Kicking Field Goals Made7
Kicking Field Goals Made Pct6
Nick SharpeOL · 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.
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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