# Wigan Warriors v Leigh Leopards — Super League Round 1 2025 AI Prediction by Alphr

## Full Time: Wigan Warriors 0 – 1 Leigh Leopards

_A point the difference as Leigh Leopards deny Wigan Warriors._

Alphr AI pre-game win probability: Wigan Warriors 74% / Leigh Leopards 26% · The Brick Community Stadium · Thu, 13 Feb, 11:00 am AEDT

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Wigan Warriors | 74% | Lost |
| Leigh Leopards | 26% | Won |

Model call: **Missed** · Margin: 14.4 predicted → 1 actual · Markets hit: 0/2

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

### Full-Time Report

**Wigan Warriors vs Leigh Leopards Prediction & Tips | Super League Round 1 2025**

_By Ben Dunlop · Published: 30 May 2026, 07:35 pm · Last updated: 25 July 2026, 07:09 pm_

Wigan Warriors 0–1 Leigh Leopards in Super League Round 1 at The Brick Community Stadium. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Wigan Warriors 0, Leigh Leopards 1. A game that never really had a shape to it, and by full time nobody had found a way past a scoreline that stayed frozen from start to finish.

There's no half-time split to lean on here, but the finished product tells you everything. One point separated these two sides at The Brick Community Stadium, and it stayed that way. No twenty minute surge, no third try to settle it, just a grind that Leigh Leopards came out the right side of.

On the raw output, Wigan should have won this comfortably. They ran for 1,449 metres to Leigh's 1,359, busted 47 tackles to Leigh's 30, and offloaded the ball 16 times against Leigh's 7. That's the kind of gap that usually shows up on the scoreboard, not just the stat sheet. It didn't here.

What actually decided it were the smaller numbers. Leigh conceded just 6 errors to Wigan's 7, took 2 line breaks to Wigan's 1, and gave away only 1 penalty against Wigan's 3. In a game this tight, those are the only columns that mattered, and Leigh won every one of them.

That's a genuine form upset. Wigan came in on a five-game winning run, averaging 34.6 points a game and conceding just 4.4. Leigh had lost two of their last five and were leaking 18.4 a game on average. On paper, with Wigan's halves rated 980 to Leigh's 657 and the hooker battle 841 to 652, this was supposed to be one-way traffic.

Alphr's model had Wigan at 74% to win, expected them by 14.4 points on a combined total of 40. Instead the total landed at 1, thirty-nine points under the projection, and the margin came in at 1 rather than 14.4. Leigh Leopards defied that read completely. The model finished 0/15 on this one, as clean a miss as you'll see.

Wigan's problem wasn't generating the ball or the metres, it was doing anything with either. Forty-seven tackle busts and sixteen offloads is a lot of broken defence to leave a side with only one line break and zero points to show for it. Somewhere between the collision and the try line, it all went missing.

Leigh's story is the opposite: control without volume. They didn't dominate the collisions, they didn't out-carry Wigan, but they held their discipline, protected the ball better, and made their one clean look at the line count. In a game this low-scoring, that's the whole ball game.

Wigan will look at the underlying numbers and wonder how it slipped away. Leigh won't care how it happened, just that it did.

**Key Match Stats**

| Wigan Warriors | Stat | Leigh Leopards |
|---|---|---|
| **1,449** | Run metres | 1,359 |
| 1 | Line breaks | **2** |
| **47** | Tackle busts | 30 |
| **16** | Offloads | 7 |
| 7 | Errors | **6** |
| 3 | Penalties conceded | **1** |

**Scoring Breakdown**

| Wigan Warriors | Stat | Leigh Leopards |
|---|---|---|
| 0 | Field Goals | 1 |
| 3 | Penalties Conceded | 1 |
| 7 | Errors | 6 |
| 2 | Sin Bins | 0 |

**Model Report Card**

Leigh Leopards defied the model's 74% prediction for Wigan Warriors, a notable upset. The margin model missed here, predicting 14.4 but the actual margin was 1 points. The game's 1 points came in 39 points lower than the predicted 40. The model went 0/15 on this match.

**Ref Watch: Questionable** (53/100) — penalties Wigan Warriors 3 · Leigh Leopards 1.

_Official Super League match stats · Generated by Alphr's model_

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

- **Head to Head:** Wigan Warriors to win — model probability 73.8% — result: LOST
- **Line / Spread:** Wigan Warriors — result: LOST
- **Margin Band:** Wigan Warriors 13-24 — result: LOST
- **Total (Over/Under):** Under — model probability 50.0% — result: WON
- Predicted margin: Wigan Warriors by 14 · Predicted total: 40

### Match Preview (pre-match read)

The model is firm on Wigan Warriors here: 74% to see off Leigh Leopards. The heaviest factor is the ratings gap: Wigan Warriors sit 124 ELO points clear, 1707 to 1583. Form leans Wigan Warriors' way: 5 from their last 5, against 3 for Leigh Leopards.

Wigan Warriors own the matchup too, leading 7 of 7 factors including ELO Difference, Forward Pack and Backline Quality. The margin model has Wigan Warriors by 14.4, with the two sides combining for about 40. Wigan Warriors to win, and win clearly. The model isn't hedging.

_Pre-match read · Alphr model_

### Recent Form (Last 5)

| Wigan Warriors | Stat | Leigh Leopards |
|---|---|---|
| 5.0 | Wins (Last 5) | 3.0 |
| 34.6pts | Avg Score | 13.2pts |
| 4.4pts | Avg Conceded | 18.4pts |
| 30.2pts | Avg Margin | -5.2pts |
| 1318.0m | Run Metres | 773.4m |
| 8.0 | Clean Breaks | 2.8 |
| 279.8 | Tackles | 234.0 |
| 8.0 | Errors | 6.6 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Wigan Warriors | R25 W · R26 W · R27 W · W · W | 34.6 |
| Leigh Leopards | R25 W · R26 L · R27 W · W · L | 13.2 |

### H2H History (Last 5) — Wigan Warriors lead 4-1

| Season | Round | Home | Score | Away | Alphr's read |
|---|---|---|---|---|---|
| 2026 | R21 | Leigh Leopards | 8 – 20 | Wigan Warriors | Wigan Warriors 63% ✓ |
| 2026 | R3 | Wigan Warriors | 54 – 0 | Leigh Leopards | Wigan Warriors 75% ✓ |
| 2025 | SF | Wigan Warriors | 18 – 6 | Leigh Leopards | not priced |
| 2025 | R17 | Leigh Leopards | 18 – 8 | Wigan Warriors | not priced |
| 2025 | R11 | Wigan Warriors | 36 – 28 | Leigh Leopards | not priced |

_Alphr's pre-match read was right in 2 of the last 2 decided meetings it priced._

### Positional Matchup

_Season-to-date production per game with league-wide attack/defence tiers (12 teams)._

**Field Matchup** — where one team attacks vs where the other concedes:
- Wigan Warriors' best path is the left edge: Super League's 1st-ranked left edge attack (1.55 tries/game) runs at a Leigh Leopards defence ranked 4th there (0.52 conceded/game). Key man: Marshall, 29 tries in that channel this season.
- Leigh Leopards' best path is the right edge: Super League's 6th-ranked right edge attack (0.69 tries/game) runs at a Wigan Warriors defence ranked 1st there (0.38 conceded/game). Key man: Hanley, 10 tries in that channel this season.

| Channel | Wigan Warriors | Leigh Leopards |
|---|---|---|
| Left | 1.55/g (att 1st (strong)) · concedes 0.38/g (def 2nd (strong)) | 0.66/g (att 8th) · concedes 0.52/g (def 4th (strong)) |
| Middle | 1.83/g (att 3rd (strong)) · concedes 0.45/g (def 2nd (strong)) | 1.14/g (att 4th (strong)) · concedes 0.79/g (def 5th) |
| Right | 0.9/g (att 2nd (strong)) · concedes 0.38/g (def 1st (strong)) | 0.69/g (att 6th) · concedes 0.52/g (def 4th (strong)) |

**Attack Spine** (Halfback · Five-Eighth · Hooker)

|  | Wigan Warriors | Leigh Leopards |
|---|---|---|
| Attack rank | 1st (strong) | 4th (strong) |
| Defence rank | 1st (strong) | 6th |
| Tries scored · conceded | 27 · 3 | 16 · 10 |
| Try Assists | 1.3/g | 1.1/g |
| Run Metres | 130m/g | 147m/g |
| Tackle Breaks | 4.9/g | 4.1/g |
| Line Breaks | 0.6/g | 0.9/g |
| Tackle Efficiency | 88.6% | 87.1% |

**Outside Backs** (Fullback · Wingers · Centres)

|  | Wigan Warriors | Leigh Leopards |
|---|---|---|
| Attack rank | 1st (strong) | 5th |
| Defence rank | 1st (strong) | 5th |
| Tries scored · conceded | 72 · 20 | 41 · 31 |
| Try Assists | 1.6/g | 0.4/g |
| Run Metres | 539m/g | 368m/g |
| Tackle Breaks | 17.3/g | 10.8/g |
| Line Breaks | 3.8/g | 1.8/g |
| Tackle Efficiency | 84.9% | 86.2% |

**Forwards** (Props · 2nd Rows · Lock)

|  | Wigan Warriors | Leigh Leopards |
|---|---|---|
| Attack rank | 4th (strong) | 11th (weak) |
| Defence rank | 4th (strong) | 7th |
| Tries scored · conceded | 15 · 7 | 4 · 8 |
| Try Assists | 0.2/g | 0/g |
| Run Metres | 349m/g | 197m/g |
| Tackle Breaks | 8.4/g | 5/g |
| Line Breaks | 0.8/g | 0.3/g |
| Tackle Efficiency | 93.1% | 93.5% |

**Who scores on Leigh Leopards** — Locks 0.08/g (lg 0.05) +60% · Halfbacks 0.21/g (lg 0.17) +24% · Five-Eighths 0.17/g (lg 0.18) -6%
**Who scores on Wigan Warriors** — Props 0.12/g (lg 0.13) -8% · 2nd Rows 0.25/g (lg 0.28) -11% · Halfbacks 0.13/g (lg 0.17) -24%

_Tries conceded by position, last 3 seasons; positive = concedes above league average to that position._

### Try Scorer History — Who Crosses The Line

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

**Wigan Warriors** (team sheet)

| # | Player | Pos | 2025 | Last 10 | vs opp | Venue | Try % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Jai Field | FB | no games | 6/10g (1·0·0·0·1·0·0·3·1·0) | 5/6g | 29/35g | 38% | — | — |
| 2 | Zach Eckersley | WG | no games | 4/10g (1·0·1·0·0·0·1·0·1·0) | 0/4g | 4/12g | 31% | — | — |
| 3 | Adam Keighran | CE | no games | 3/10g (1·0·0·0·1·0·1·0·0·0) | 2/7g | 4/13g | 30% | — | — |
| 4 | Jake Wardle | CE | no games | 3/10g (1·0·0·0·0·0·1·1·0·0) | 4/8g | 12/30g | 38% | — | — |
| 5 | Liam Marshall | WG | no games | 9/10g (0·1·1·0·0·2·1·2·2·0) | 6/8g | 42/51g | 64% | ⚡ Anytime Try $3.93 AI 37% ✗ No try; 🎯 First Try $23.81 AI 17% Great value +12.9% | — |
| 6 | Bevan French | 5/8 | no games | 9/10g (0·0·0·2·0·1·2·2·1·1) | 8/7g | 45/38g | 58% | ⚡ Anytime Try $3.29 AI 47% ✗ No try; 🎯 First Try $19.35 AI 24% Great value +18.5% | — |
| 7 | Harry Smith | HB | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/10g | 12/51g | 6% | — | — |
| 8 | Liam Byrne | PR | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/7g | 0/47g | 0% | — | — |
| 9 | Kruise Leeming | HK | no games | 2/10g (0·0·0·0·0·0·0·2·0·0) | 2/7g | 2/14g | 20% | ⚡ Anytime Try $5.79 AI 20% ✗ No try | — |
| 10 | Luke Thompson | PR | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/6g | 1/13g | 12% | — | — |
| 11 | Junior Nsemba | 2R | no games | 4/10g (1·0·0·1·1·1·0·0·0·0) | 2/6g | 3/21g | 22% | ⚡ Anytime Try $5.65 AI 21% ✗ No try | — |
| 12 | Liam Farrell | 2R | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 4/10g | 19/49g | 14% | — | — |
| 13 | Kaide Ellis | LK | no games | 1/10g (0·0·0·0·0·0·1·0·0·0) | 0/7g | 3/35g | 4% | — | — |
| 14 | Patrick Mago | INT | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 15 | Tyler Dupree | INT | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/8g | 2/19g | 6% | — | — |
| 16 | Harvie Hill | INT | no games | 1/10g (0·0·0·0·0·0·0·1·0·0) | 1/4g | 1/18g | 6% | — | — |
| 17 | Tom Forber | INT | no games | 1/10g (0·0·0·0·1·0·0·0·0·0) | 0/1g | 0/6g | 8% | — | — |

**Leigh Leopards** (team sheet)

| # | Player | Pos | 2025 | Last 10 | vs opp | Venue | Try % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| 1 | David Armstrong | FB | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 2 | Keanan Brand | WG | no games | 1/10g (0·0·1·0·0·0·0·0·0·0) | 0/3g | 0/2g | 7% | — | — |
| 3 | Tesi Niu | CE | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 4 | Umyla Hanley | CE | no games | 1/10g (0·0·1·0·0·0·0·0·0·0) | 0/4g | 3/5g | 20% | ⚡ Anytime Try $5.10 AI 24% ✗ No try; 🎯 First Try $32.04 AI 12% Great value +9.1% | — |
| 5 | Josh Charnley | WG | no games | 8/10g (2·2·0·0·0·1·1·0·1·1) | 4/16g | 0/4g | 62% | ⚡ Anytime Try $3.41 AI 45% ✗ No try; 🎯 First Try $20.20 AI 26% Great value +20.8% | — |
| 6 | Gareth O'Brien | 5/8 | no games | 3/10g (0·0·0·1·0·1·0·0·1·0) | 2/16g | 0/5g | 20% | — | — |
| 7 | Lachlan Lam | HB | no games | 1/10g (1·0·0·0·0·0·0·0·0·0) | 2/7g | 1/4g | 22% | — | — |
| 8 | Owen Trout | PR | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/6g | 0/4g | 4% | — | — |
| 9 | Brad Dwyer | HK | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 4/15g | 3/6g | 6% | — | — |
| 10 | Robbie Mulhern | PR | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 1/6g | 1/4g | 10% | — | — |
| 11 | Frankie Halton | 2R | no games | 3/10g (0·0·1·0·1·1·0·0·0·0) | 0/4g | 0/1g | 16% | — | — |
| 12 | Ethan O'Neill | 2R | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 13 | Isaac Liu | LK | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 14 | Jack Hughes | INT | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 2/23g | 0/4g | 4% | — | — |
| 15 | Alec Tuitavake | INT | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 16 | Matt Davis | INT | no games | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/9g | 0/4g | 4% | — | — |
| 17 | Edwin Ipape | INT | no games | 3/10g (0·1·0·0·1·0·0·0·1·0) | 0/5g | 0/3g | 32% | ⚡ Anytime Try $5.53 AI 21% ✗ No try; 🎯 First Try $35.06 AI 10% Great value +7.6% | — |

### Prediction Breakdown — Pure Alpha Model

**Team ELO Ratings** — Wigan Warriors 1707 · Leigh Leopards 1583 · ELO difference: 124 in favour of Wigan Warriors

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

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | ELO Difference | 15.0% | Wigan Warriors |
| 2 | Forward Pack | 12.0% | Wigan Warriors |
| 3 | Backline Quality | 10.0% | Wigan Warriors |
| 4 | Recent Win Rate | 10.0% | Wigan Warriors |
| 5 | Halves Control | 9.0% | Wigan Warriors |
| 6 | Venue Advantage | 8.0% | Wigan Warriors |
| 7 | H2H History | 6.0% | Wigan Warriors |

**Model Confidence: 74%** — Wigan Warriors predicted to win by 14 points · Predicted total: 40 pts

**Record:** 0/2 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: 2026-07-25 09:09 UTC (latest tip update)