
Away
Minnesota Vikings
2-0

Home
Tampa Bay Buccaneers
0-2
Model Win Probability
Minnesota Vikings · Away
56%
separation12%
Tampa Bay Buccaneers · Home
44%
- Elo component
- 64% MIN
- Efficiency component
- 43% MIN
- Feature coverage
- 100%
- Data cutoff
- 2026-09-21T03:30:00Z
- Model
- pt-nfl-ensemble-v0.3
Signal strength describes model agreement and data quality, not certainty or wagering value.
Team Efficiency Comparison
0–100 league percentile across all 32 teams. Defensive ratings are inverted so a higher number always means a better unit.
Blended Team Metrics
| MIN | Metric | TB |
|---|---|---|
| -0.091 | EPA / Play | -0.021 |
| 41.5% | Success Rate | 43.4% |
| -0.086 | Dropback EPA | 0.024 |
| -0.107 | Rush EPA | -0.050 |
| 11.4% | Explosive Play Rate | 10.8% |
| 37.5% | 3rd Down Conversion | 42.2% |
| 20.5% | Red Zone TD Rate | 16.4% |
| -0.107 | Def. EPA / Play Allowed | 0.017 |
| 8.9% | Pressure Rate | 5.2% |
Prior-season form is blended with current-season play and its weight decays as the current sample grows. Metrics without enough data are shown as “—”, never as zero.
Game Context
- Kickoff
- Sun, Sep 27, 4:05 PM ET
- Roof
- outdoors
- Surface
- grass
- Away rest
- 7 days
- Home rest
- 7 days
- Site
- Tampa Bay Buccaneers home game
Player Impact
Carson Wentz
QB2026 Weeks 1–2
- CMP/ATT
- 23/39
- Pass yds
- 276
- Pass TD
- 3
- INT
- 0
- Y/A
- 7.1
- Sacks
- 6
Aaron Jones
RB2026 Weeks 1–2
- Carries
- 35
- Rush yds
- 145
- YPC
- 4.1
- Rush TD
- 1
- Targets
- 1
- Rec
- 0
- Rush share
- 56.5%
Jordan Mason
RB2026 Weeks 1–2
- Carries
- 15
- Rush yds
- 59
- YPC
- 3.9
- Rush TD
- 1
- Targets
- 0
- Rec
- 0
- Rush share
- 24.2%
Justin Jefferson
WR2026 Weeks 1–2
- Targets
- 15
- Rec
- 11
- Rec yds
- 147
- YPR
- 13.4
- Rec TD
- 2
- Target share
- 35.7%
T.J. Hockenson
TE2026 Weeks 1–2
- Targets
- 9
- Rec
- 7
- Rec yds
- 65
- YPR
- 9.3
- Rec TD
- 1
- Target share
- 21.4%
Away · Minnesota Vikings
Carson Wentz
QB2026 Weeks 1–2
- CMP/ATT
- 23/39
- Pass yds
- 276
- Pass TD
- 3
- INT
- 0
- Y/A
- 7.1
- Sacks
- 6
Aaron Jones
RB2026 Weeks 1–2
- Carries
- 35
- Rush yds
- 145
- YPC
- 4.1
- Rush TD
- 1
- Targets
- 1
- Rec
- 0
- Rush share
- 56.5%
Jordan Mason
RB2026 Weeks 1–2
- Carries
- 15
- Rush yds
- 59
- YPC
- 3.9
- Rush TD
- 1
- Targets
- 0
- Rec
- 0
- Rush share
- 24.2%
Justin Jefferson
WR2026 Weeks 1–2
- Targets
- 15
- Rec
- 11
- Rec yds
- 147
- YPR
- 13.4
- Rec TD
- 2
- Target share
- 35.7%
T.J. Hockenson
TE2026 Weeks 1–2
- Targets
- 9
- Rec
- 7
- Rec yds
- 65
- YPR
- 9.3
- Rec TD
- 1
- Target share
- 21.4%
Home · Tampa Bay Buccaneers
Baker Mayfield
QB2026 Weeks 1–2
- CMP/ATT
- 44/62
- Pass yds
- 398
- Pass TD
- 1
- INT
- 1
- Y/A
- 6.4
- Sacks
- 7
Bucky Irving
RB2026 Weeks 1–2
- Carries
- 25
- Rush yds
- 134
- YPC
- 5.4
- Rush TD
- 1
- Targets
- 11
- Rec
- 11
- Rush share
- 55.6%
Kenny Gainwell
RB2026 Weeks 1–2
- Carries
- 7
- Rush yds
- 25
- YPC
- 3.6
- Rush TD
- 0
- Targets
- 5
- Rec
- 4
- Rush share
- 15.6%
Cade Otton
TE2026 Weeks 1–2
- Targets
- 11
- Rec
- 8
- Rec yds
- 64
- YPR
- 8
- Rec TD
- 0
- Target share
- 18.3%
Emeka Egbuka
WR2026 Weeks 1–2
- Targets
- 11
- Rec
- 8
- Rec yds
- 79
- YPR
- 9.9
- Rec TD
- 1
- Target share
- 18.3%
Injuries & Availability
Away · Minnesota Vikings
Kyler MurrayQB
OUTConcussion · Limited Participation in Practice
Jauan JenningsWR
OUTNot injury related - personal matter · Did Not Participate In Practice
Brian O'NeillOL
QUESTIONABLEKnee · Limited Participation in Practice
Home · Tampa Bay Buccaneers
Miles KillebrewS
QUESTIONABLEConcussion · Full Participation in Practice
Jalen McMillanWR
QUESTIONABLEKnee · Full Participation in Practice
Jacob ParrishCB
QUESTIONABLEBack · Full Participation in Practice
Scoring by Quarter
Sample · 2 gamesAway · Minnesota Vikings
Home · Tampa Bay Buccaneers
Small sample — treat quarter splits as descriptive context, not a trend.
Latest News
- Bears coach says Williams week-to-week, but QB not ruled out for MNF
ESPN NFL · just now · CHI / MIN
- Vikes Views: Nincompoop of the Week – Vikings at Bears
Yahoo Sports NFL · 1h ago · CHI / MIN
- NFL Power Rankings entering Week 3: Are the Vikings the best team in the NFC North?
Yahoo Sports NFL · 3h ago · MIN
- Reviewing the Bears’ PFN grades from Week 2 vs. Vikings
Yahoo Sports NFL · 6h ago · CHI / MIN
- Bears struggled in the rain while Vikings adapted
Yahoo Sports NFL · 8h ago · CHI / MIN
Analytical Angles
Passing profile · MIN
passingMinnesota Vikings is at the 12th league percentile in blended passing efficiency entering Week 3.
Defense profile · MIN
efficiencyMinnesota Vikings is at the 97th league percentile in blended defensive efficiency; higher values reflect fewer EPA allowed.
Passing profile · TB
passingTampa Bay Buccaneers is at the 38th league percentile in blended passing efficiency entering Week 3.
Defense profile · TB
efficiencyTampa Bay Buccaneers is at the 50th league percentile in blended defensive efficiency; higher values reflect fewer EPA allowed.
Statistical context only. Picks Terminal publishes matchup analysis, not wagering advice.
Keys to the Game
- Blended model gives Minnesota Vikings 56% and Tampa Bay Buccaneers 44%.
- Elo puts Minnesota Vikings at 64.4% and the efficiency model at 43.1%.
- The two components disagree by 21.3 points, so the blend is less confident.
What Could Flip It
- Rating and efficiency views point in opposite directions on this game.
- Ratings carry into Week 3 from a two-game sample, so single-game variance still dominates.
Model Analysis
pt-nfl-ensemble-v0.3 rates Minnesota Vikings (2-0) at 56% to win at Tampa Bay Buccaneers (0-2). Elo puts Minnesota Vikings at 64.4% and the efficiency model at 43.1%; the blend lands at 56%. The components disagree, which pulls the blend toward the middle.
Forecast
Minnesota Vikings projected to win, 56% of the time in the model.
Sources & Methodology
Win probability: pt-nfl-ensemble-v0.3 — a deterministic ensemble of a margin-aware Elo component and a regularized efficiency component built from pregame team differentials (EPA per play, dropback and rush EPA, success rate, explosive rate, sack performance, home field and rest). The blended probability is calibrated on training seasons only and validated by walk-forward backtest against completed results. All inputs come from public play-by-play and schedule data. No external market data of any kind is used anywhere on this page.