Hamilton Hammers — Hartford Wolf Pack
☆ Save matchModel prediction for 30 October
Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.
In short
Hamilton Hammers are favourites: 58% to win including overtime and shootout.
The model expects plenty of goals: 6.3 in total, against a competition average of 5.8.
Over 5.5 goals in regulation — 65%.
Why
- Hamilton Hammers are more dangerous in attack: 3.4 expected goals against 2.9.
Probabilities
| Expected goals: Hamilton Hammers — Hartford Wolf Pack | 3.4–2.9 | |
| Hamilton Hammers to win (incl. OT and shootout) | 58% | |
| Hartford Wolf Pack to win (incl. OT and shootout) | 42% | |
| Total over 5.5 (regulation) | 65% | |
| Total under 5.5 (regulation) | 35% |
111 more model lines in Premium
All totals and handicaps, team totals, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Totals incl. OT
- Handicap Hamilton Hammers
- Hamilton Hammers goals
- Overtime chance
- Full score grid
Form
- 11.10Toronto Marlies2:5
- 10.10Toronto Marlies4:5 SO
- 03.10away · Toronto Marlies3:5
- 03.10away · Belleville Senators5:2
- 11.10Laval Rocket2:5
- 11.10Wilkes-Barre/Scranton1:7
- 10.10away · Providence Bruins2:0
- 05.10away · Wilkes-Barre/Scranton3:2
- 04.10away · Lehigh Valley Phantoms5:2
Head to head
No previous meetings in the data.
Table
| # | Team | P | W | +/− | Pts | P% |
|---|---|---|---|---|---|---|
| 17 | Springfield Thunderbirds | 4 | 2 | -1 | 5 | .625 |
| 18 | Hartford Wolf Pack | 5 | 3 | -3 | 6 | .600 |
| 19 | Tucson Roadrunners | 4 | 2 | +2 | 4 | .500 |
| 22 | Belleville Senators | 4 | 2 | -3 | 4 | .500 |
| 23 | Hamilton Hammers | 4 | 1 | -3 | 3 | .375 |
| 24 | Abbotsford Canucks | 4 | 1 | -4 | 3 | .375 |
AHL on the same day
- Calgary WranglersLaval Rocketpreliminary40602The model's most likely outcome: 220%Model's score: 2:45.8
This is the model’s statistical estimate, not a recommendation. An outcome at 47% will not happen in roughly 53 matches out of 100. How to read probabilities →