Green Bay Packers: 2026 Win Total & Market Edge
Board as of · prices live
The prediction-market read on the Packers: our 10,000-season simulation projects 9.6 wins in 2026 (6th of 32, Playoff tier; raw model 9.7), beside the live Kalshi win-total line. Full schedule, per-game win probabilities and NFC North standing below.
2026 win total: our model vs. Kalshi
Green Bay Packers
± 2.0 · 6th of 32
Model agrees with the market
Divergence is projected wins minus the ladder-implied market line, in wins — LOW on the one ladder every season-wins surface grades on (STRONG ≥2.0 · HIGH ≥1.5 · MODERATE ≥1.0); OVER / UNDER fires at ±2.0. Projected wins are the 10,000-season simulation mean; the raw model reads 9.7. No single rung sits near 50¢.
See all 32 teams on the win-totals board → Informational only — verify the market and trade responsibly.
📊 Deep-dive: Packers win total: the only model-above-market read in the division, and it still says wait
The consensus spread
Three independent estimates of the same season on one line: the expected wins implied by the live Kalshi ladder, our 10,000-season simulation, and EA’s Madden 27 simulation. Where they disagree is the whole signal.
Our sim and the Madden simulation land on opposite sides of the 9.35 market line. They disagree with each other, so this is a market to watch rather than one to build a position in.
Our model is far higher on the Packers than Madden is — 5th on play-by-play versus 14th on talent, a 9-place gap. The production is there; the roster grades don't reflect it.
Where the season actually lands
A point estimate cannot tell a trader whether to take a position — the full distribution against the contract line can. Bars are the Madden 27 simulation over 10,000 seasons; the dashed marker is the live contract.
of clearing 9.35
+2.8pp vs a coin flip
Our probability from the 10,000-season simulation (mean 9.64 wins; raw model 9.73 ± 1.99). Bars: Madden 27 sim-2026, 10,000 iterations. Two methods, no shared inputs.
The Ladder — Packers
All ladders →The season simulation at every Kalshi win-total rung, then the widest player-prop gap on this club this week. The rungs the market has not listed two-sided yet are drawn from the simulation alone.
Priced. The market and the model tell the same story at every rung.
| Rung | Market | Model | Gap | |
|---|---|---|---|---|
| 1+ wins | 🔒 | outside range | — | thin |
| 2+ wins | 🔒 | outside range | — | thin |
| 3+ wins | 🔒 | outside range | — | thin |
| 4+ wins | 🔒 | outside range | — | YES → |
| 5+ wins | 🔒 | outside range | — | YES → |
| 6+ wins | 🔒 | outside range | — | YES → |
| 7+ wins | 🔒 | outside range | — | YES → |
| 8+ wins | 🔒 | outside range | — | YES → |
| 9+ wins | 🔒 | 🔒 | 🔒 | YES → |
| 10+ wins | 🔒 | 🔒 | 🔒 | YES → |
| 11+ wins | 🔒 | 🔒 | 🔒 | YES → |
| 12+ wins | 🔒 | outside range | — | YES → |
| 13+ wins | 🔒 | outside range | — | YES → |
| 14+ wins | 🔒 | outside range | — | YES → |
| 15+ wins | 🔒 | outside range | — | YES → |
| 16+ wins | 🔒 | outside range | — | thin |
| 17+ wins | — | outside range | — | not listed |
Rung-by-rung numbers are a Pro feature. Unlock Pro →
Our number is published at the called strike only; the market curves are complete.
Rung-by-rung numbers are a Pro feature. Unlock Pro →
Our number is published at the called strike only; the market curves are complete.
Rung-by-rung numbers are a Pro feature. Unlock Pro →
Gold is our distribution, parchment is the Kalshi contract at each strike; the band between them is green where our probability is higher and purple where it is lower. We publish our number only where we have measured it to be calibrated, between 30% and 70%; rungs outside that range show the market only. A contract pays $1 if it settles YES, so a price in cents is an implied probability. Prediction markets carry risk; contracts can settle at $0.
Market edges
The season contract and the single game most likely to move it, graded on the same thresholds every other Gridiron Edge surface uses.
Season wins over 9.35
Our 10,000-season simulation projects 9.64 (raw model 9.73), the Madden 27 simulation 8.66, against 9.35 market-implied wins — a +0.29-win gap. LOW on the wins ladder (STRONG ≥2.0 · HIGH ≥1.5 · MODERATE ≥1.0); a side is flagged only at the 2.0-win STRONG rung, so the honest read is no position.
Week 16 at Bears
The truest coin flip on the schedule at 48%. Games this close are where a season win total is actually decided — and where a live in-week contract is most likely to be mispriced. Full read →
Informational only. Contracts can settle at $0 — verify the market and trade responsibly.
Power rating breakdown
Diverging from league average rather than four flat numbers, so a positive reads as a positive at a glance. Points per game.
Overall +3.0 ranks 5th of 32 (Playoff tier). How Packers rank on the points scale → Re-weight the model yourself →
Methodology: DAEPA model docs → (59.6% backtested straight-up accuracy across 3,266 games, no market line used).
The season path
Seventeen weeks as a heat ribbon — the shape of the season in one glance, each cell linking to that game’s full read. The sortable table stays below it.
Roster shape vs the league
Nine position groups against league average. Each axis is scaled on its own league range — a shared 0-100 scale flattens every roster into the same circle.
Dashed violet ring = league average. Number chip = rank of 32. Source: Madden 27 launch team composites (derived unit aggregates, no per-player data).
2026 schedule & model win probabilities
All 17 regular-season games. Our % is the DAEPA margin (power-rating differential + 2.5-point home-field) run through a Normal model, σ=14.4 — those 17 numbers sum to the raw model's 9.7 wins; the 9.6-win headline above is the 10,000-season simulation, which adds rating uncertainty (and fits its own home-field, 2.0) on top of these same ratings. Madden % is the same question asked of Madden 27 talent composites, a model that shares none of our inputs.
Packers player props vs the Kalshi line
Our projection against the live Kalshi contract. Every prop is an “X or more” contract that pays $1 if the player gets there, so the price of the side we call, in cents,is the market’s implied probability — the edge is the gap between that and ours, in percentage points. Closest strike to our projection first.
| Player | Contract | Call | Our odds | Mkt | Edge | Tier |
|---|---|---|---|---|---|---|
| Jordan LoveQB | 10+ rush ydsover 9.5 | NO | Pro subscribers only | Pro subscribers only | Pro subscribers only | MODERATE |
All 54 player-prop edges for Week 1 →Locked numbers are Pro.
Packers props: where the market prices are
The market’s prices, not ours: each Kalshi strike beside the sportsbook consensus read at the same line, and where the cheaper price for each side actually is. A gap is a price difference, not a call — the Oracle calls above are the opinion.
| Player | Prop | Kalshi | Consensus | Gap | Best price |
|---|---|---|---|---|---|
| Matthew GoldenGB v MIN | 40+ rec yds | 49.0¢ | 50% | -1.1¢ | over · Kalshi 51.8¢under · ProphetX 52.2¢ |
| Christian WatsonGB v MIN | 3+ rec | 71.5¢ | off-ladder | — | Kalshi only |
| Christian WatsonGB v MIN | 5+ rec | 39.0¢ | off-ladder | — | over · Kalshi 42.7¢ |
| Jordan LoveGB v MIN | 1+ pass TDs | 80.5¢ | — | — | Kalshi only |
| Jordan LoveGB v MIN | 2+ pass TDs | 45.5¢ | — | — | Kalshi only |
| Jordan LoveGB v MIN | 175+ pass yds | 81.0¢ | off-ladder | — | Kalshi only |
| Jordan LoveGB v MIN | 200+ pass yds | 67.5¢ | off-ladder | — | over · Kalshi 75.4¢ |
| Jordan LoveGB v MIN | 350+ pass yds | 6.5¢ | off-ladder | — | over · Kalshi 7.5¢ |
See all 16 priced prop strikes on the board →+ 80 listed on Kalshi, not yet priced.
NFC North ladder
Projected wins across the division, leader in gold — and four internal reads a click away.
Lions
9.8
+2.5
Packers
9.6
+3.0
Bears
8.8
+1.4
Vikings
7.2
-2.6
Model has the Packers 2nd in the NFC North. Division hub →
10,000-season simulation
How it works →Our own preseason board, played across the real 2026 schedule 10,000 times with the league's actual tiebreaker procedure. The projection above is the middle of this; these are the odds around it. The sim fits its own home-field (2.0 points, from played games) — a separate fit from the +2.5 the game model uses on matchup pages.
Sim average wins
9.6
10,000 seasons · 53% reach 10+
Make playoffs
57%
14% win 6 or fewer
Win division
33%
9% take the 1 seed
Win Super Bowl
4.8%
6th of 32 · 9% reach it
The Packers draw a 0.508 opponent win rate — the 10th-hardest schedule in the league.
10,000 simulated seasons on our preseason power ratings. Real NFL tiebreakers, real 2026 schedule. No injuries, no in-season roster change, no market prices.
Madden 27 outlook
Full board →A second opinion, built from Madden 27 launch ratings alone and played across the real 2026 schedule 10,000 times. It knows nothing about our own model — which is what makes the disagreement worth reading.
Madden rank
14
81.3 composite · QB 86
Simulated wins
8.7
39% reach 10+
Playoffs
41%
17% win division
Super Bowl
2.3%
SoS 0.508 (9th hardest)
Our model is far higher on the Packers than Madden is — 5th on play-by-play versus 14th on talent, a 9-place gap. The production is there; the roster grades don't reflect it.
Madden-only inputs — no injuries, no in-season roster change, no market prices. Average error on a season win total is 2.27 wins, so the distribution is the product, not the mean. The 10,000-season simulation →
Watch: the Packers' Week 1 opener in Minnesota — our model at 60% against a Kalshi price near 49%, and the gap behind the 11-point edge.
What the clip covers
- The model made Green Bay a 60% favorite on the road in Minneapolis; Kalshi was pricing the Packers near 49% when the clip published on July 29, 2026 — a gap of roughly 11 points.
- The gap is the position, not the side. A market favorite is only worth holding when the model number sits meaningfully above the traded price — picking the winner and finding an edge are two different jobs.
- Week 1 lines price off how last season ended, which is where our power ratings and the market diverge most — openers are the widest part of the season for model-vs-market disagreement.
- The clip quotes a July 29 snapshot. The win-total and schedule modules on this page recompute against live Kalshi, so treat the 11-point number as where the read started, not where it stands today.
Packers 2026 — frequently asked
What is the Green Bay Packers win total for 2026?
The Kalshi KXNFLWINS-27 ladder implies an expected 9.3 wins for the Packers in 2026. Our 10,000-season simulation on our DAEPA power ratings projects 9.6 wins — a 0.3-win agreement with the market (LOW on our wins ladder).
Where do the Packers rank in our 2026 power ratings?
The Packers sit at a +3.0-point power rating — 5th of 32 — in the Playoff tier. That rating (offense +3.3, defense -0.5, special teams +0.3) is the input behind every Packers prediction-market edge we publish.
Can you trade Green Bay Packers games on Kalshi?
Yes. Kalshi is a CFTC-regulated exchange that lists Packers season win totals (KXNFLWINS), individual game winners (KXNFLGAME, which for 2026 opened months ahead of kickoff), plus division, conference and Super Bowl champion markets — available to traders in all 50 states. You take a yes/no position that settles at $1 or $0.
What division are the Packers in for 2026?
The Packers play in the NFC North, alongside Bears, Lions, Vikings. Our model has them projected 2nd in the NFC North on 9.6 expected wins.
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Prediction markets carry risk. Contracts can settle at $0. Informational only — not financial advice. Trade responsibly.
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