# Pittsburgh Steelers v Cincinnati Bengals — NFL Week 3 2026 AI Prediction by Alphr

## Full Time: Pittsburgh Steelers 30 – 27 Cincinnati Bengals

_Pittsburgh Steelers forge past a gallant Cincinnati Bengals._

Half time: 17 – 17 · Alphr AI pre-game win probability: Pittsburgh Steelers 52% / Cincinnati Bengals 48% · Acrisure Stadium · Mon, 28 Sept, 03:00 am AEST

**Touchdowns** — Pittsburgh Steelers: Roman Wilson (2'), Ben Skowronek (15'), DK Metcalf (43' Tipped ⚡) · Cincinnati Bengals: Ja'Marr Chase (10' Tipped ⚡), Tee Higgins (30' Tipped ⚡), Mike Gesicki (47' Tipped ⚡)

### Match Winner — AI Prediction Market (resolved)

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Pittsburgh Steelers | 52% | Won |
| Cincinnati Bengals | 48% | Lost |

Model call: **Correct** · Margin: 3.2 predicted → 3 actual · Markets hit: 3/3

_AI win probability priced pre-game · Markets hit = core betting markets._

### Full-Time Report

**Pittsburgh Steelers vs Cincinnati Bengals Prediction & Tips | NFL Week 3 2026**

_By Ben Dunlop · Published: 23 Sept 2026, 10:28 pm · Last updated: 28 Sept 2026, 06:40 am_

Pittsburgh Steelers 30–27 Cincinnati Bengals in NFL Week 3 at Acrisure Stadium. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

The third quarter at Acrisure Stadium delivered the swing that decided the match. Pittsburgh Steelers seized a lead they refused to surrender, edging Cincinnati Bengals 30-27 in a contest that stayed inside one score until the final whistle. After a first half locked at 17-17, the Steelers found their rhythm, took control midway through the third, and absorbed every late punch.

Pittsburgh’s DK Metcalf scored a touchdown with 2:43 left in the third quarter, breaking the 20-20 deadlock and establishing a lead that saw the Steelers close the quarter up 24-20. While the Bengals did respond with a touchdown from Mike Gesicki with 13:29 left in the fourth quarter to briefly take the lead 26-24, the Steelers answered back and kept the game in hand.

Pittsburgh Steelers' touchdowns came through Ben Skowronek, DK Metcalf and Roman Wilson. Cincinnati Bengals' touchdowns came through Ja'Marr Chase, Mike Gesicki and Tee Higgins. Roman Wilson scored the first touchdown of the game for Pittsburgh with 13:10 left in the first quarter, making it 6-0. Ja'Marr Chase responded for Cincinnati with 5:50 left in the first, bringing the score to 7-6. Ben Skowronek then scored for Pittsburgh with 0:52 left in the first, making it 13-7. Tee Higgins scored for Cincinnati with 0:34 left in the second quarter, bringing the score to 17-16, before the half ended 17-17.

Total yardage tells some of the story, with Pittsburgh gaining 430 yards to Cincinnati’s 365. The Steelers’ rushing game made the difference, logging 138 yards against the Bengals' 83. Jaylen Warren led all rushers with 127 yards on 17 carries. Through the air, both teams were closely matched, the Steelers had 292 passing yards and the Bengals 282.

Despite Cincinnati’s overall offensive efficiency, registering 15.7 Offensive EPA to Pittsburgh’s 9.6, the Steelers managed to convert their yardage into points. Both sides were disciplined with possession, each recording one turnover. Sacks were tight as well, with Pittsburgh making one and Cincinnati two.

The model’s pre-match read had the Steelers as narrow favourites, predicting a 52% probability of a win. That held up, with the final margin of 3 points closely matching the model’s prediction of 3.2. The combined total score of 57 was also close to the predicted 52, a good read across the board for the model.

Looking at positional strengths, Cincinnati’s backfield was rated significantly higher at 75 compared to Pittsburgh’s 45. Their quarterback and receiving corps also held an edge in the ratings, 60 versus 44 for quarterback and 55 versus 52 for receiving. This might explain why the Bengals showed a higher offensive EPA despite less total yardage.

However, the Steelers’ stronger pass rush, rated 61 against Cincinnati’s 57, likely played a role in limiting the Bengals’ passing game efficiency when it mattered. Pittsburgh also came into the game on a less convincing run of form, with two wins from their last five, averaging 12.2 points scored and 20 conceded. The Bengals had four wins from five, averaging 30.6 points scored and 17.6 conceded. The Steelers managed to flip that trend when it counted.

**Scoring by Quarter**

| Team | Q1 | Q2 | Q3 | Q4 | T |
|---|---|---|---|---|---|
| Pittsburgh Steelers | 14 | 3 | 7 | 6 | 30 |
| Cincinnati Bengals | 7 | 10 | 3 | 7 | 27 |

**Scoring Timeline**

| Clock | Team | Play | Scorer | Score |
|---|---|---|---|---|
| Q1 13:10 | Pittsburgh Steelers | TD | Roman Wilson | 7-0 |
| Q1 5:50 | Cincinnati Bengals | TD | Ja'Marr Chase | 7-7 |
| Q1 0:52 | Pittsburgh Steelers | TD | Ben Skowronek | 14-7 |
| Q2 10:16 | Cincinnati Bengals | FG | — | 14-10 |
| Q2 7:05 | Pittsburgh Steelers | FG | — | 17-10 |
| Q2 0:34 | Cincinnati Bengals | TD | Tee Higgins | 17-17 |
| Q3 8:22 | Cincinnati Bengals | FG | — | 17-20 |
| Q3 2:43 | Pittsburgh Steelers | TD | DK Metcalf | 24-20 |
| Q4 13:29 | Cincinnati Bengals | TD | Mike Gesicki | 24-27 |
| Q4 8:45 | Pittsburgh Steelers | FG | — | 27-27 |
| Q4 2:15 | Pittsburgh Steelers | FG | — | 30-27 |

**Key Match Stats**

| Pittsburgh Steelers | Stat | Cincinnati Bengals |
|---|---|---|
| **430** | Total Yards | 365 |
| **292** | Passing Yards | 282 |
| **138** | Rushing Yards | 83 |
| **20** | First Downs | 19 |
| 1 | Turnovers | 1 |
| 1 | Sacks Made | **2** |
| 9.6 | Offensive EPA | **15.7** |

**Model Report Card**

Our model correctly predicted Pittsburgh Steelers to win at 52% probability. The margin model was sharp, predicting Pittsburgh Steelers by 3.2 vs the actual margin of 3 points. Total score prediction of 52 was close to the actual 57, within 5 points. A clean sweep, all 3 model picks hit for this match.

_Official NFL box score · Generated by Alphr's model_

### Edge Analysis — the model's pre-game markets

- **Head to Head:** Pittsburgh Steelers to win @ $2.53 (edge +12.9%) — model probability 52.5% — result: WON
- **Line / Spread:** Pittsburgh Steelers +3.5 @ $1.87 (edge +5.6%) — model probability 59.0% — result: WON
- **Margin Band:** Pittsburgh Steelers 1-13 @ $2.95 (edge -0.4%) — model probability 33.5% — result: WON
- **Total (Over/Under):** Over 42.5 @ $1.89 (edge -2.9%) — model probability 50.0% — result: WON
- Predicted margin: Pittsburgh Steelers by 3 · Predicted total: 52

### Match Preview (pre-match read)

Line ball between Pittsburgh Steelers and Cincinnati Bengals. The model can't split them, landing on Pittsburgh Steelers at 52%. The ratings say otherwise: Cincinnati Bengals sit 26 ELO points clear, 1530 to 1505, so the model is backing Pittsburgh Steelers against the ratings gap. Form leans Cincinnati Bengals' way: 4 from their last 5, against 2 for Pittsburgh Steelers.

On paper Cincinnati Bengals shade it, ahead on 3 of 6 factors including Team Rating (ELO), Quarterback and Recent Form. The model still sides with Pittsburgh Steelers, which says Pass Rush carry the most weight. The margin model has Pittsburgh Steelers by 3.2, with the two sides combining for about 52. Coin-flip on the win, so the value is where this one gets settled.

The recent history is even: 6 wins each from the last 12 meetings, Pittsburgh Steelers taking the most recent 34-12 in 2025 Week 11.

Pittsburgh Steelers went 1-1 in 2026 so far, 1-0 at home, averaging 11.5 points for and 16.5 against.

Cincinnati Bengals went 2-0 in 2026 so far, 1-0 away, averaging 26.5 points for and 16.5 against.

Aaron Rodgers starts under centre for Pittsburgh Steelers, Joe Burrow for Cincinnati Bengals, with Mike McCarthy and Zac Taylor calling the shots.

The market has Cincinnati Bengals favourites, Pittsburgh Steelers $2.53 and Cincinnati Bengals $1.52, with the spread at Cincinnati Bengals -3.5 and the total at 42.5.

**By the numbers**

|  |  |
|---|---|
| H2H (last 12) | Pittsburgh Steelers 6 · Cincinnati Bengals 6 |
| Last meeting | Pittsburgh Steelers 34-12 (2025) |
| Pittsburgh Steelers 2026 so far | 1-1 · 1-0 home |
| Pittsburgh Steelers scoring | 11.5 for · 16.5 against |
| Cincinnati Bengals 2026 so far | 2-0 · 1-0 away |
| Cincinnati Bengals scoring | 26.5 for · 16.5 against |
| Quarterbacks | Aaron Rodgers · Joe Burrow |
| Head coaches | Mike McCarthy · Zac Taylor |
| Market | Pittsburgh Steelers $2.53 · Cincinnati Bengals $1.52 |
| Spread | Cincinnati Bengals -3.5 · total 42.5 |

_Pre-match read · Alphr model_

### Recent Form (Last 5)

| Pittsburgh Steelers | Stat | Cincinnati Bengals |
|---|---|---|
| 2.0 | Wins (Last 5) | 4.0 |
| 12.2pts | Avg Score | 30.6pts |
| 20.0pts | Avg Conceded | 17.6pts |
| -7.8pts | Avg Margin | 13.0pts |
| 7.0d | Rest Days | 7.0d |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Pittsburgh Steelers | W17 L · W18 W · WC L · W1 W · W2 L | 12.2 |
| Cincinnati Bengals | W16 W · W17 W · W18 L · W1 W · W2 W | 30.6 |

### H2H History (Last 5) — Pittsburgh Steelers lead 3-2

| Season | Round | Home | Score | Away | Alphr's read |
|---|---|---|---|---|---|
| 2026 | W3 | Pittsburgh Steelers | 30 – 27 | Cincinnati Bengals | Pittsburgh Steelers 52% ✓ |
| 2025 | W11 | Pittsburgh Steelers | 34 – 12 | Cincinnati Bengals | not priced |
| 2025 | W7 | Cincinnati Bengals | 33 – 31 | Pittsburgh Steelers | not priced |
| 2024 | W18 | Pittsburgh Steelers | 17 – 19 | Cincinnati Bengals | not priced |
| 2024 | W13 | Cincinnati Bengals | 38 – 44 | Pittsburgh Steelers | not priced |

_Alphr's pre-match read was right in the one decided meeting it priced._

### TD Scorer History — Who Finds The End Zone

_Last 10 games, career record vs the opponent and at Acrisure Stadium. ⚡ = our AI backs them to score; 🎯 = our AI's first-td pick. 🏉 = scored in this game. TD % = share of games with a td, last 10 weighted double vs the 30 prior — historical frequency, not a market price._

**Pittsburgh Steelers** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | TD % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Pat Freiermuth | TE | 1 in 2g | 2/10g (0·1·0·0·0·0·0·0·1·0) | 6/9g | 8/28g | 26% | — | — |
| – | Aaron Rodgers | QB | 0 in 2g | 1/10g (0·0·1·0·0·0·0·0·0·0) | 0/4g | 0/12g | 6% | — | — |
| – | Ben Skowronek | WR | 0 in 1g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/6g | 0/13g | 4% | — | 🏉 15' |
| – | Darnell Washington | TE | 0 in 2g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/5g | 0/19g | 4% | — | — |
| – | DK Metcalf | WR | 0 in 2g | 2/10g (0·0·1·0·0·1·0·0·0·0) | 0/4g | 5/10g | 34% | ⚡ Anytime TD $3.10 AI 26% ✓ Scored | 🏉 43' |
| – | Germie Bernard | WR | 0 in 1g | 0/1g (0) | 0/0g | 0/0g | 0% | — | — |
| – | Jaylen Warren | RB | 0 in 2g | 5/10g (1·1·1·0·2·0·0·0·0·0) | 0/8g | 4/34g | 24% | ⚡ Anytime TD $2.25 AI 44% ✗ No TD; 🎯 First TD $7.00 AI 10% ✗ Not first | — |
| – | Kaden Wetjen | WR | 0 in 2g | 0/2g (0·0) | 0/0g | 0/1g | 0% | — | — |
| – | Lew Nichols III | RB | no games | 0/1g (0) | 0/0g | 0/1g | 0% | — | — |
| – | Michael Pittman | WR | 0 in 1g | 1/10g (0·0·1·0·0·0·0·0·0·0) | 0/1g | 0/2g | 24% | — | — |
| – | Robert Tonyan | TE | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/1g | 0/0g | 10% | — | — |
| – | Roman Wilson | WR | 0 in 2g | 2/10g (0·0·1·0·1·0·0·0·0·0) | 0/2g | 1/7g | 19% | — | 🏉 2' |
| – | Travis Homer | RB | 0 in 1g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/1g | 0/0g | 4% | — | — |

**Cincinnati Bengals** (team sheet)

| # | Player | Pos | 2026 | Last 10 | vs opp | Venue | TD % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| – | Ja'Marr Chase | WR | 2 in 2g | 5/10g (0·0·0·0·0·0·2·1·0·2) | 6/8g | 1/2g | 44% | ⚡ Anytime TD $2.45 AI 39% ✓ Scored; 🎯 First TD $8.50 AI 8% ✗ Not first | 🏉 10' |
| – | Chase Brown | RB | 1 in 2g | 9/10g (0·0·0·2·0·3·2·1·1·0) | 1/5g | 0/2g | 44% | ⚡ Anytime TD $2.05 AI 52% ✗ No TD; 🎯 First TD $5.80 AI 11% ✗ Not first | — |
| – | Mike Gesicki | TE | 1 in 1g | 3/10g (0·0·0·0·1·0·1·0·0·1) | 0/4g | 0/1g | 18% | ⚡ Anytime TD $5.50 AI 24% ✓ Scored | 🏉 47' |
| – | Colbie Young | WR | 0 in 1g | 0/1g (0) | 0/0g | 0/0g | 0% | — | — |
| – | Dohnte Meyers | WR | 0 in 2g | 0/2g (0·0) | 0/0g | 0/0g | 0% | — | — |
| – | Drew Sample | TE | 0 in 1g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/9g | 0/2g | 8% | — | — |
| – | Joe Burrow | QB | 0 in 2g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/7g | 0/2g | 6% | — | — |
| – | Ke'Shawn Williams | WR | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/5g | 0% | — | — |
| – | Samaje Perine | RB | 0 in 2g | 3/10g (1·0·0·0·0·1·1·0·0·0) | 3/8g | 3/2g | 16% | — | — |
| – | Tahj Brooks | RB | 0 in 1g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/2g | 0/1g | 0% | — | — |
| – | Tanner Hudson | TE | 0 in 1g | 1/10g (0·0·0·0·1·0·0·0·0·0) | 0/5g | 0/3g | 10% | — | — |
| – | Tee Higgins | WR | 0 in 2g | 8/10g (1·2·1·0·2·1·0·1·0·0) | 6/10g | 2/4g | 50% | ⚡ Anytime TD $3.00 AI 40% ✓ Scored; 🎯 First TD $11.50 AI 9% ✗ Not first | 🏉 30' |

### End Zone Map — Where Our Picks Have Been Scoring

_Real touchdowns, not predictions: every score each of our picks made in his last five games. The percentage is our model's chance he scores in this game._

**Cincinnati Bengals** (4 picks)
- ⚡ Chase Brown 🎯 — 7 TDs in last 5 (4 rush · 3 pass) · model 52% · no TD
- ⚡ Tee Higgins 🎯 — 2 TDs in last 5 (0 rush · 2 pass) · model 40% · **scored Q2**
- ⚡ Ja'Marr Chase 🎯 — 5 TDs in last 5 (0 rush · 5 pass) · model 39% · **scored Q1**
- ⚡ Mike Gesicki — 2 TDs in last 5 (0 rush · 2 pass) · model 24% · **scored Q4**
- Rest of the Bengals: 3 TDs across the team's last 5

**Pittsburgh Steelers** (2 picks)
- ⚡ Jaylen Warren 🎯 — 0 TDs in last 5 · model 44% · no TD
- ⚡ DK Metcalf — 1 TD in last 5 (0 rush · 1 pass) · model 26% · **scored Q3**
- Rest of the Steelers: 5 TDs across the team's last 5
- Other scorers this game: R.Wilson, B.Skowronek

### Player Props — Yardage & Receptions

_Market lines vs our model's read for each player's rushing, receiving and passing numbers. ⚡ = the model sits 10+ points past the price; everything else is market intel, not a tip. Projections assume the depth-chart role the model saw at publish._

**Cincinnati Bengals** (CIN)

| Player · market | Line | Price | AI read | Result |
|---|---|---|---|---|
| Chase Brown · Rush yds | U 60.5 | $2.05 | 59% (expects 61.0) | ✗ missed |
| Chase Brown · Rec yds | U 21.5 | $1.88 | 62% (expects 17.7) | ✓ landed |
| Chase Brown · Rec | U 3.5 | $1.73 | 58% (expects 3.4) | ✓ landed |
| Ja'Marr Chase · Rec yds | U 77.5 | $1.90 | 68% (expects 68.3) | ✗ missed |
| Ja'Marr Chase · Rec | U 6.5 | $2.13 | 57% (expects 6.5) | ✗ missed |
| Joe Burrow · Pass yds | U 249.5 | $1.89 | 58% (expects 263.5) | ✗ missed |
| Joe Burrow · Pass TDs | O 1.5 | $2.05 | 69% (expects 1.9) | ✓ landed |
| Joe Burrow · Rush yds | U 5.5 | $1.88 | 57% (expects 3.8) | ✗ missed |
| Samaje Perine · Rec | U 1.5 | $1.58 | 74% (expects 0.7) | ✓ landed |
| Samaje Perine · Rush yds | O 15.5 | $1.90 | 51% (expects 15.7) | ✗ missed |
| Samaje Perine · Rec yds | U 6.5 | $1.82 | 60% (expects 5.1) | ✓ landed |
| Tee Higgins · Rec yds | U 53.5 | $1.91 | 60% (expects 51.6) | ✗ missed |
| Tee Higgins · Rec | U 4.5 | $1.87 | 71% (expects 3.3) | ✗ missed |

**Pittsburgh Steelers** (PIT)

| Player · market | Line | Price | AI read | Result |
|---|---|---|---|---|
| Aaron Rodgers · Pass TDs | U 1.5 | $1.52 | 64% (expects 1.1) | ✗ missed |
| Aaron Rodgers · Pass yds | U 220.5 | $1.88 | 63% (expects 233.4) | ✗ missed |
| Aaron Rodgers · Rush yds | O 0.5 | $1.95 | 55% (expects 2.3) | ✓ landed |
| Darnell Washington · Rec | U 1.5 | $1.82 | 52% (expects 1.4) | ✗ missed |
| Darnell Washington · Rec yds | O 11.5 | $1.85 | 55% (expects 13.8) | ✓ landed |
| DK Metcalf · Rec yds | U 50.5 | $1.95 | 68% (expects 39.4) | ✓ landed |
| DK Metcalf · Rec | U 4.5 | $1.80 | 75% (expects 3.2) | ✓ landed |
| Jaylen Warren · Rush yds | U 50.5 | $1.95 | 59% (expects 51.9) | ✗ missed |
| Jaylen Warren · Rec yds | U 25.5 | $1.75 | 82% (expects 10.4) | ✗ missed |
| Jaylen Warren · Rec | U 3.5 | $1.90 | 78% (expects 1.8) | ✓ landed |
| Pat Freiermuth · Rec yds | U 34.5 | $1.88 | 75% (expects 21.3) | ✓ landed |
| Pat Freiermuth · Rec | U 3.5 | $2.13 | 75% (expects 2.2) | ✓ landed |

### Prediction Breakdown — Pure Alpha Model

**Team ELO Ratings** — Pittsburgh Steelers 1505 · Cincinnati Bengals 1530 · ELO difference: 25 in favour of Cincinnati Bengals

**Positional Matchups** — unit strength index from player ratings: 50 is league average, 75+ is elite, 25 and under is a weakness

| Unit | Pittsburgh Steelers | Cincinnati Bengals | Edge |
|---|---|---|---|
| Quarterback | 44 | 60 | Cincinnati Bengals +16 |
| Receiving Corps | 52 | 55 | Even |
| Backfield | 45 | 75 | Cincinnati Bengals +30 |
| Pass Rush | 61 | 57 | Even |
| Secondary | 56 | 56 | Even |
| Special Teams | 60 | 63 | Even |

**Key Prediction Factors** — what the model weighted most

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | Team Rating (ELO) | 30.0% | Cincinnati Bengals |
| 2 | Quarterback | 18.0% | Cincinnati Bengals |
| 3 | Pass Rush | 12.0% | Pittsburgh Steelers |
| 4 | Secondary | 10.0% | — |
| 5 | Recent Form | 10.0% | Cincinnati Bengals |
| 6 | Rest Advantage | 8.0% | — |

**Model Confidence: 52%** — Pittsburgh Steelers predicted to win by 3 points · Predicted total: 52 pts

**Record:** 3/3 match predictions correct

**Prediction by Alphr** (https://alphr.com.au) — free AI predictions for every AFL, NRL & Super League match, published before kick-off and never edited. Verified track record: https://alphr.com.au/accuracy

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Last updated: 2026-09-27 20:40 UTC (latest tip update)