# Eels v Storm — NRL Round 11 2026 AI Prediction by Alphr

## Full Time: Eels 8 – 34 Storm

_Storm put Eels to the sword._

Half time: 4 – 10 · Alphr AI pre-game win probability: Eels 39% / Storm 61% · Suncorp Stadium, Brisbane · Sat, 16 May, 07:45 pm AEST

**Try Scorers** — Eels: Sean Russell (7' 1st Tipped ⚡), Joash Papalii (60' Tipped ⚡) · Storm: Moses Leo (11' Tipped ⚡), Jack Howarth (15'), Cameron Munster (46'), Cooper Clarke (56'), Harry Grant (73'), Josh King (76')

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

| Team | Pre-game AI win probability | Result |
|---|---|---|
| Storm | 61% | Won |
| Eels | 39% | Lost |

Model call: **Correct** · Margin: 5.9 predicted → 26 actual · Markets hit: 2/4

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

### Full-Time Report

**Parramatta Eels vs Melbourne Storm Prediction & Tips | NRL Round 11 2026**

_By Ben Dunlop · Published: 13 May 2026, 04:08 pm · Last updated: 16 May 2026, 11:28 pm_

Eels 8–34 Storm in NRL Round 11 at Suncorp Stadium, Brisbane. Here's how the result stacked up against the model's call, with the win-probability story and where the value landed.

Parramatta played the patient game, Melbourne played the physical one, and physical won by 26.

The Eels did the tidy things well. They completed at 77% to Storm's 71%, kicked for 591 metres to control field position, and conceded fewer penalties, four to seven. On paper that's the disciplined performance. It just didn't matter, because Storm had the ball doing more work every time they touched it.

Sean Russell got Parramatta off to the perfect start, scoring in the 7th minute to make it 4-0. Storm didn't blink. Moses Leo levelled it inside three minutes, Jack Howarth put them in front at 15', and by half-time it was 10-4. That's the shape of the whole match in miniature: Eels find a way to build a lead, Storm's forward pack simply outruns them back into it.

The second half was one-way traffic. Cameron Munster crossed in the 46th minute, Cooper Clarke again at 55', and suddenly it was 4-20 before Joash Papalii pulled one back for Parramatta at 59'. That try never threatened a comeback, it just delayed the inevitable. Harry Grant and Josh King added further tries in the final quarter to push it out to the final 34-8 margin.

The underlying numbers explain why Storm kept finding tries. They ran for 2,026 metres to the Eels's 1,496, and 667 of those came after contact compared with 525. They broke the line eight times to four and busted 47 tackles to 28, with 12 offloads keeping the ball alive when Parramatta thought they had it shut down. Parramatta's defence, missing 47 tackles against Storm's 28, simply couldn't keep pace with that volume of contact.

None of it should come as a huge shock given the positional read going in. Storm held the edge in forwards, 956 to 895, and in the halves, 939 to 914, the two areas that decide who wins the collisions and who's dictating shape. Parramatta's one advantage, at hooker, 931 to 913, wasn't enough to offset being outmuscled everywhere else.

Alphr's model backed Storm at 61% and got the winner right. The margin was another story: it called Storm by 5.9, the reality was 26. The total score prediction of 48 was closer to the mark against an actual 42, and the model's under 54.5 total call landed. Storm's form line had them at just one win from five coming in, with Parramatta actually the better recent record at two wins. On this evidence, recent form was the least useful guide in the building, the collision stats told the real story, and the model's win call held even if the margin badly undersold how one-sided it became.

**Scoring by Half**

| Team | H1 | H2 | T |
|---|---|---|---|
| Eels | 4 | 4 | 8 |
| Storm | 10 | 24 | 34 |

**Key Match Stats**

| Eels | Stat | Storm |
|---|---|---|
| 48% | Possession | **52%** |
| **77%** | Completion rate | 71% |
| 1,496 | Run metres | **2,026** |
| 525 | Post-contact metres | **667** |
| 4 | Line breaks | **8** |
| 28 | Tackle breaks | **47** |
| 5 | Offloads | **12** |
| 84.1% | Effective tackle % | **89.4%** |
| 47 | Missed tackles | **28** |
| 16 | Errors | 16 |
| **4** | Penalties conceded | 7 |
| **591** | Kick metres | 451 |

**Model Report Card**

Our model correctly predicted Storm to win at 61% probability. The margin model missed here, predicting 5.9 but the actual margin was 26 points. Total score prediction of 48 was close to the actual 42, within 6 points. Storm led 4–10 at the break and pulled away in the second half to win by 26. The model went 5/17 on this match. The under 54.5 total call was correct.

**Referee Watch**

Peter Gough officiated this match (182 career games). The 42-point combined total was right in line with Peter Gough's career average of 44. Storm's victory aligns with Peter Gough's historical trend, Storm have a 71% win rate under this referee. Peter Gough averaged 12.4 penalties per game heading in, a whistle-heavy referee profile.

**Key moments (momentum model)**

- 7' Try — Sean Russell (Eels) — 4-0 · win-prob swing +5 pts
- 10' Try — Moses Leo (Storm) — 4-4 · win-prob swing -5 pts
- 15' Try — Jack Howarth (Storm) — 4-8 · win-prob swing -5 pts
- 46' Try — Cameron Munster (Storm) — 4-14 · win-prob swing -6 pts
- 55' Try — Cooper Clarke (Storm) — 4-20 · win-prob swing -2 pts
- 59' Try — Joash Papalii (Eels) — 8-22 · win-prob swing +1 pts
- 72' Try — Harry Grant (Storm) — 8-26 · win-prob swing -1 pts
- 76' Try — Josh King (Storm) — 8-32 · win-prob swing -0 pts

_Official NRL match stats · Generated by Alphr's model_

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

- **Head to Head:** Storm to win @ $1.37 (edge -8.6%) — model probability 60.9% — result: WON
- **Line / Spread:** Eels +8.5 @ $1.91 (edge +0.0%) — result: LOST
- **Margin Band:** Storm 1-12 @ $2.55 (edge +0.0%) — result: LOST
- **Total (Over/Under):** Under 54.5 @ $1.91 (edge +0.0%) — result: WON
- Predicted margin: Storm by 6 · Predicted total: 48

### Match Preview (pre-match read)

Storm are the call at 61%, but Eels stay live at 39%. The heaviest factor is the ratings gap: Storm sit 31 ELO points clear, 1439 to 1408. Form leans Eels' way: 2 from their last 5, against 1 for Storm.

Storm own the matchup too, leading 4 of 7 factors including ELO Difference, Forward Pack and Halves Control. The margin model has Storm by 5.9, with the two sides combining for about 48. Lean Storm, but it shapes as a genuine contest.

Storm have won 8 of the last 10 between these two, and Storm took the most recent meeting 34-8 in 2026 Round 11.

Storm have put up 126 points in four games.

On the ladder it's Eels 14th against Storm 15th.

The market has Storm favourites, Eels $3.12 and Storm $1.37, with the line at Eels +8.5 and the total at 54.5.

Peter Gough has the whistle: 17.9 penalties a game (whistle-happy), 0.7 sin bins a game.

**By the numbers**

|  |  |
|---|---|
| H2H (last 10) | Eels 2 · Storm 8 |
| Last meeting | Storm 34-8 |
| Eels last 4 | WLWL · 108 for, 106 against |
| Eels at home | 6-6 this season |
| Storm last 4 | WLWW · 126 for, 82 against |
| Storm away | 4-8 this season |
| Ladder | Eels 14th · Storm 15th |
| Finals odds | Eels 0% · Storm 0% |
| Market | Eels $3.12 · Storm $1.37 |
| Line | Eels +8.5 · total 54.5 |
| Referee | Peter Gough · 17.9 pens/g · 0.7 bins/g |

_Pre-match read · Alphr model_

### Referee Indicator — Favours Storm

**Peter Gough** — 182 career games since 2012.

| Team | Record under Peter Gough | Win rate |
|---|---|---|
| Eels | 10W–19L | 34% |
| Storm | 12W–5L | 71% |

Avg total: 44.2 pts · Home win %: 53% · Home bias: Leans home

When Peter Gough officiates, Storm have won 12 of 17 games (71%), significantly stronger than Eels's 10 from 29 (34%).

Peter Gough averages 12.4 penalties per game, above the league norm. Expect frequent stoppages. Penalises away teams more, 5.8 against home vs 6.5 against away.

### Recent Form (Last 5)

| Eels | Stat | Storm |
|---|---|---|
| 2.0 | Wins (Last 5) | 1.0 |
| 22.6pts | Avg Score | 19.2pts |
| 34.2pts | Avg Conceded | 31.2pts |
| -11.6pts | Avg Margin | -12.0pts |
| 1618.4m | Run Metres | 1477.0m |
| 4.0 | Line Breaks | 3.8 |
| 330.6 | Tackles | 360.2 |
| 11.4 | Errors | 11.6 |

### Form & History

_Last 5 games, oldest → newest._

| Team | Last 5 | Avg Pts |
|---|---|---|
| Eels | R6 L · R7 W · R8 L · R9 L · R10 W | 22.6 |
| Storm | R6 L · R7 L · R8 L · R9 L · R10 W | 19.2 |

### H2H History (Last 5) — Storm lead 5-0

| Season | Round | Home | Score | Away |
|---|---|---|---|---|
| 2026 | R1 | Storm | 52 – 4 | Eels |
| 2025 | R22 | Eels | 10 – 16 | Storm |
| 2025 | R1 | Storm | 56 – 18 | Eels |
| 2024 | R21 | Eels | 14 – 32 | Storm |
| 2024 | R11 | Storm | 48 – 16 | Eels |

### Prediction Breakdown — Pure Alpha Model

**Team ELO Ratings** — Eels 1408 · Storm 1439 · ELO difference: 31 in favour of Storm

**Positional Matchups** — lineup ELO by unit

| Unit | Eels | Storm | Edge |
|---|---|---|---|
| Forwards | 895 | 956 | Storm +61 |
| Backs | 925 | 925 | Even |
| Halves | 914 | 939 | Storm +25 |
| Hooker | 931 | 913 | Eels +17 |

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

| # | Factor | Weight | Favours |
|---|---|---|---|
| 1 | ELO Difference | 14.0% | Storm |
| 2 | Forward Pack | 12.0% | Storm |
| 3 | Backline Quality | 10.0% | — |
| 4 | Halves Control | 9.0% | Storm |
| 5 | Recent Win Rate | 9.0% | Eels |
| 6 | Referee Tendency | 7.0% | Storm |
| 7 | Venue Advantage | 7.0% | Eels |

**Model Confidence: 61%** — Storm predicted to win by 6 points · Predicted total: 48 pts

**Record:** 2/4 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: 2026-05-16 13:28 UTC (latest tip update)