# Huddersfield Giants v Wakefield Trinity — Super League Round 19 2025 AI Prediction by Alphr

## Full Time: Huddersfield Giants 10 – 46 Wakefield Trinity

_Wakefield Trinity put Huddersfield Giants to the sword._

Half time: 4 – 30 · Alphr AI pre-game win probability: Huddersfield Giants 32% / Wakefield Trinity 68% · ACCU Stadium · Fri, 18 July, 10:00 am AEST

**Try Scorers** — Huddersfield Giants: Jacob Gagai (4' 1st Tipped 🎯), Adam Swift (46' Tipped ⚡) · Wakefield Trinity: Jayden Myers (15'), Lachlan Walmsley (19' Tipped ⚡), Mike McMeeken (22'), Corey Hall (27' Tipped ⚡), Jayden Myers (34'), Max Jowitt (53' Tipped ⚡), Cameron Scott (59'), Josh Griffin (74' Tipped ⚡)

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Wakefield Trinity | 68% | Won |
| Huddersfield Giants | 32% | Lost |

Model call: **Correct** · Margin: 7.0 predicted → 36 actual · Markets hit: 1/2

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

### Full-Time Report

**Huddersfield Giants vs Wakefield Trinity Prediction & Tips | Super League Round 19 2025**

_By Ben Dunlop · Published: 30 May 2026, 07:35 pm · Last updated: 25 July 2026, 07:15 pm_

Huddersfield Giants 10–46 Wakefield Trinity in Super League Round 19 at ACCU Stadium. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Thirty tackle busts to eight. That's the number that decided it, and the result was Wakefield Trinity 46, Huddersfield Giants 10 at ACCU Stadium. A side breaking the line that often is going to rack up points, and Wakefield Trinity did exactly that.

Huddersfield actually started the better side. Jacob Gagai opened the scoring inside four minutes, and for a quarter of an hour the Giants held a 4-0 lead. It meant nothing by half-time. Wakefield Trinity hit back through Jayden Myers in the 15th minute, then Max Jowitt's boot and a run of tries did the rest. Lachlan Walmsley, Mike McMeeken and Corey Hall crossed between the 19th and 27th minutes, Myers grabbed his second in the 34th, and Wakefield Trinity led 30-4 at the break. Jowitt converted every one of those first-half tries.

Huddersfield got one back early in the second half through Adam Swift, and Tuimoala Lolohea's conversion made it 10-30. That's as close as it got. Jowitt scored and converted himself in the 53rd minute, Cameron Scott crossed in the 59th, and Josh Griffin finished the scoring in the 74th. Seven different try scorers for Wakefield Trinity across the match, with Myers doubling up.

The stat sheet matches what happened on the field. Wakefield Trinity ran for 1,376 metres to Huddersfield's 694, more than doubled them on line breaks (8 to 2), and that 30-to-8 gap on tackle busts meant the Giants' defence was under constant strain. Offloads went 8-2 too, so Wakefield Trinity kept finding extra options when the play should have been dead. Huddersfield were the tidier side with the ball, just 8 errors to 11, and gave away fewer penalties, 3 to 2. None of that mattered against a team running through them at will.

The numbers going in suggested a contest rather than a rout. Huddersfield rated stronger up front, 857 to 801, and had a big edge in the halves, 1000 to 740. Wakefield Trinity's backs were rated slightly higher, 730 to 704, and on this night that backline did the damage. Form lines were near identical, both sides LWLWL across their last five matches, Wakefield Trinity's average winning margin sitting at a modest plus-2 points. Nothing in that history pointed to a 36-point beating.

Alphr's model backed Wakefield Trinity to win at 68 percent, and got the winner right. The margin read was well off, though: it tipped a 7-point win off a combined total near 43. Wakefield Trinity delivered the total roughly as expected but blew the margin out to 36, right side, wrong distance. It's a reminder that even a solid pre-match lean can undersell a team that turns line breaks and tackle busts into a procession. The model finished the round 8 from 15.

Huddersfield will look at the tackle-bust and line-break numbers and know where the review starts. Wakefield Trinity, by contrast, barely had to work for field position once the middle third of the first half got away from the Giants, and they made every metre count where it mattered most: on the scoreboard.

**Key Match Stats**

| Huddersfield Giants | Stat | Wakefield Trinity |
|---|---|---|
| 694 | Run metres | **1,376** |
| 2 | Line breaks | **8** |
| 8 | Tackle busts | **30** |
| 2 | Offloads | **8** |
| **8** | Errors | 11 |
| 3 | Penalties conceded | **2** |

**Scoring Breakdown**

| Huddersfield Giants | Stat | Wakefield Trinity |
|---|---|---|
| 2 | Tries | 8 |
| 1/2 | Goals | 7/8 |
| 3 | Penalties Conceded | 2 |
| 8 | Errors | 11 |

**Model Report Card**

Our model correctly predicted Wakefield Trinity to win at 68% probability. The margin model missed here, predicting 7.0 but the actual margin was 36 points. Wakefield Trinity led 4–30 at the break and pulled away in the second half to win by 36. The model went 8/15 on this match.

**Ref Watch: Clean Game** (11/100) — penalties Huddersfield Giants 3 · Wakefield Trinity 2.

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

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

- **Head to Head:** Wakefield Trinity to win — model probability 68.2% — result: WON
- **Line / Spread:** Wakefield Trinity — result: WON
- **Margin Band:** Wakefield Trinity 1-12 — result: LOST
- **Total (Over/Under):** Over — model probability 50.0% — result: WON
- Predicted margin: Wakefield Trinity by 7 · Predicted total: 43

### Match Preview (pre-match read)

The model is firm on Wakefield Trinity here: 68% to see off Huddersfield Giants. The heaviest factor is the ratings gap: Wakefield Trinity sit 245 ELO points clear, 1527 to 1282.

The factors split evenly, which is why the margin stays tight. The margin model has Wakefield Trinity by 7.0, with the two sides combining for about 43. Wakefield Trinity to win, and win clearly. The model isn't hedging.

_Pre-match read · Alphr model_

### Recent Form (Last 5)

| Huddersfield Giants | Stat | Wakefield Trinity |
|---|---|---|
| 2.0 | Wins (Last 5) | 2.0 |
| 16.4pts | Avg Score | 20.0pts |
| 22.4pts | Avg Conceded | 18.0pts |
| -6.0pts | Avg Margin | 2.0pts |
| 948.2m | Run Metres | 1077.0m |
| 2.6 | Clean Breaks | 3.2 |
| 280.6 | Tackles | 283.8 |
| 8.6 | Errors | 9.2 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Huddersfield Giants | R14 L · R15 W · R16 L · R17 W · R18 L | 16.4 |
| Wakefield Trinity | R14 L · R15 W · R16 L · R17 W · R18 L | 20.0 |

### H2H History (Last 5) — Wakefield Trinity lead 3-2

| Season | Round | Home | Score | Away | Alphr's read |
|---|---|---|---|---|---|
| 2026 | R16 | Wakefield Trinity | 29 – 23 | Huddersfield Giants | Wakefield Trinity 87% ✓ |
| 2026 | R2 | Huddersfield Giants | 16 – 18 | Wakefield Trinity | Wakefield Trinity 52% ✓ |
| 2025 | R24 | Wakefield Trinity | 48 – 2 | Huddersfield Giants | not priced |
| 2023 | R19 | Huddersfield Giants | 34 – 6 | Wakefield Trinity | not priced |
| 2023 | R3 | Wakefield Trinity | 0 – 8 | Huddersfield Giants | 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:
- Huddersfield Giants' best path is the right edge: Super League's 9th-ranked right edge attack (0.5 tries/game) runs at a Wakefield Trinity defence ranked 9th there (0.94 conceded/game). Key man: Swift, 3 tries in that channel this season.
- Wakefield Trinity's best path is the middle: Super League's 3rd-ranked middle attack (2.17 tries/game) runs at a Huddersfield Giants defence ranked 11th there (2.17 conceded/game). Key man: Jowitt, 11 tries in that channel this season.

| Channel | Huddersfield Giants | Wakefield Trinity |
|---|---|---|
| Left | 0.39/g (att 10th (weak)) · concedes 1.44/g (def 12th (weak)) | 0.56/g (att 9th (weak)) · concedes 0.78/g (def 4th (strong)) |
| Middle | 0.94/g (att 9th (weak)) · concedes 2.17/g (def 11th (weak)) | 2.17/g (att 3rd (strong)) · concedes 0.94/g (def 5th) |
| Right | 0.5/g (att 9th (weak)) · concedes 0.78/g (def 7th) | 1/g (att 5th) · concedes 0.94/g (def 9th (weak)) |

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

|  | Huddersfield Giants | Wakefield Trinity |
|---|---|---|
| Attack rank | 10th (weak) | 4th (strong) |
| Defence rank | 11th (weak) | 3rd (strong) |
| Tries scored · conceded | 3 · 17 | 13 · 4 |
| Try Assists | 0.7/g | 1.8/g |
| Run Metres | 77m/g | 93m/g |
| Tackle Breaks | 2.7/g | 2.8/g |
| Line Breaks | 0.3/g | 0.4/g |
| Tackle Efficiency | 89.9% | 89.4% |

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

|  | Huddersfield Giants | Wakefield Trinity |
|---|---|---|
| Attack rank | 10th (weak) | 8th |
| Defence rank | 10th (weak) | 9th (weak) |
| Tries scored · conceded | 17 · 41 | 29 · 36 |
| Try Assists | 0.4/g | 0.8/g |
| Run Metres | 351m/g | 433m/g |
| Tackle Breaks | 10.1/g | 12/g |
| Line Breaks | 1.1/g | 2.1/g |
| Tackle Efficiency | 79.8% | 83.1% |

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

|  | Huddersfield Giants | Wakefield Trinity |
|---|---|---|
| Attack rank | 8th | 2nd (strong) |
| Defence rank | 9th (weak) | 1st (strong) |
| Tries scored · conceded | 5 · 13 | 19 · 3 |
| Try Assists | 0/g | 0.6/g |
| Run Metres | 178m/g | 337m/g |
| Tackle Breaks | 4.8/g | 5.8/g |
| Line Breaks | 0.4/g | 1.1/g |
| Tackle Efficiency | 93.1% | 94.5% |

**Who scores on Wakefield Trinity** — Fullbacks 0.31/g (lg 0.19) +63% · Halfbacks 0.22/g (lg 0.14) +57% · Wingers 1.27/g (lg 0.88) +44%
**Who scores on Huddersfield Giants** — Wingers 1.17/g (lg 0.88) +33% · Halfbacks 0.18/g (lg 0.14) +29% · Centres 0.51/g (lg 0.4) +27%

_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 ACCU 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._

**Huddersfield Giants** (team sheet)

| # | Player | Pos | 2025 | Last 10 | vs opp | Venue | Try % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Niall Evalds | FB | 0 in 4g | 1/10g (1·0·0·0·0·0·0·0·0·0) | 6/15g | 0/0g | 16% | — | — |
| 2 | Jacob Gagai | WG | 7 in 16g | 5/10g (0·1·1·0·0·0·2·0·0·1) | 0/0g | 0/0g | 39% | ⚡ Anytime Try $3.33 AI 46% ✓ Scored; 🎯 First Try $19.63 AI 24% ✓ Scored first | 🏉 4' |
| 3 | Taane Milne | CE | 2 in 15g | 2/10g (0·0·0·0·0·0·1·0·1·0) | 0/0g | 0/0g | 16% | 🎯 First Try $11.11 AI 13% ✗ Not first | — |
| 4 | Sam Halsall | CE | 3 in 14g | 2/10g (0·0·0·0·1·0·0·0·1·0) | 2/3g | 0/0g | 28% | — | — |
| 5 | Adam Swift | WG | 4 in 12g | 4/10g (1·1·1·0·0·0·0·0·1·0) | 8/12g | 0/0g | 56% | ⚡ Anytime Try $4.09 AI 34% ✓ Scored; 🎯 First Try $24.96 AI 16% ✗ Not first | 🏉 46' |
| 6 | Matt Frawley | 5/8 | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 7 | Tui Lolohea | HB | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 8 | Tristan Powell | PR | 0 in 6g | 0/6g (0·0·0·0·0·0) | 0/0g | 0/0g | 0% | — | — |
| 9 | Zac Woolford | HK | 0 in 13g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/0g | 0% | — | — |
| 10 | Tom Burgess | PR | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 11 | Jake Bibby | 2R | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 12 | Harry Rushton | 2R | 0 in 11g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/0g | 6% | — | — |
| 13 | Leroy Cudjoe | LK | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 14 | Ashton Golding | INT | 0 in 18g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/7g | 0/0g | 4% | — | — |
| 15 | Matty English | INT | 0 in 14g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/6g | 0/0g | 2% | — | — |
| 16 | George King | INT | 1 in 8g | 1/10g (0·0·0·0·0·1·0·0·0·0) | 0/12g | 0/0g | 4% | — | — |
| 17 | Kieran Rush | INT | 0 in 9g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/0g | 0% | — | — |

**Wakefield Trinity** (team sheet)

| # | Player | Pos | 2025 | Last 10 | vs opp | Venue | Try % | Alphr play | This game |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Max Jowitt | FB | 11 in 15g | 8/10g (1·1·0·1·2·1·0·0·1·1) | 1/11g | 0/0g | 48% | ⚡ Anytime Try $2.93 AI 54% ✓ Scored; 🎯 First Try $16.75 AI 14% ✗ Not first | 🏉 53' |
| 2 | Lachlan Walmsley | WG | 7 in 12g | 7/10g (0·0·2·0·2·1·0·0·2·0) | 0/0g | 0/0g | 36% | ⚡ Anytime Try $2.96 AI 54% ✓ Scored; 🎯 First Try $16.99 AI 14% ✗ Not first | 🏉 19' |
| 3 | Corey Hall | CE | 3 in 17g | 3/10g (0·0·1·0·0·1·0·1·0·0) | 0/5g | 0/0g | 18% | ⚡ Anytime Try $4.21 AI 33% ✓ Scored | 🏉 27' |
| 4 | Cameron Scott | CE | 2 in 13g | 1/10g (0·0·0·0·1·0·0·0·0·0) | 1/5g | 0/0g | 22% | — | 🏉 59' |
| 5 | Jayden Myers | WG | 0 in 2g | 0/2g (0·0) | 0/0g | 0/0g | 0% | — | 🏉 15' 34' |
| 6 | Mason Lino | 5/8 | 4 in 18g | 2/10g (0·0·0·1·0·0·0·0·1·0) | 2/6g | 0/0g | 12% | — | — |
| 7 | Jake Trueman | HB | 0 in 7g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 4/9g | 0/0g | 12% | — | — |
| 8 | Mike McMeeken | PR | 3 in 16g | 1/10g (0·0·0·0·0·1·0·0·0·0) | 6/15g | 0/0g | 8% | — | 🏉 22' |
| 9 | Liam Hood | HK | 3 in 16g | 1/10g (0·1·0·0·0·0·0·0·0·0) | 0/5g | 0/0g | 16% | — | — |
| 10 | Caius Faatili | PR | 7 in 18g | 7/10g (0·2·2·2·0·0·1·0·0·0) | 0/0g | 0/0g | 29% | ⚡ Anytime Try $3.31 AI 46% ✗ No try | — |
| 11 | Matty Storton | 2R | 1 in 4g | 1/10g (0·0·0·0·0·0·0·0·0·1) | 1/6g | 0/0g | 8% | — | — |
| 12 | Josh Griffin | 2R | 5 in 12g | 5/10g (0·1·0·2·0·0·1·0·1·0) | 6/11g | 0/0g | 26% | ⚡ Anytime Try $3.15 AI 50% ✓ Scored | 🏉 74' |
| 13 | Jay Pitts | LK | 1 in 17g | 1/10g (0·0·0·1·0·0·0·0·0·0) | 3/8g | 0/0g | 6% | — | — |
| 14 | Harvey Smith | INT | 1 in 16g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/0g | 4% | — | — |
| 15 | Caleb Hamiln-Uele | INT | no games | 0/0g | 0/0g | 0/0g | — | — | — |
| 16 | Renouf Atoni | INT | 0 in 6g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/2g | 0/0g | 3% | — | — |
| 17 | Isaiah Vagana | INT | 1 in 17g | 0/10g (0·0·0·0·0·0·0·0·0·0) | 0/0g | 0/0g | 4% | — | — |

### Prediction Breakdown — Pure Alpha Model

**Team ELO Ratings** — Huddersfield Giants 1282 · Wakefield Trinity 1527 · ELO difference: 245 in favour of Wakefield Trinity

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

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

**Model Confidence: 68%** — Wakefield Trinity predicted to win by 7 points · Predicted total: 43 pts

**Record:** 1/2 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 09:15 UTC (latest tip update)