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Newcastle Northstars @ Brisbane Lightning

Sun 24 May, 2026 · IceWorld Boondall Brisbane · Final: Newcastle Northstars 10–0 Brisbane Lightning
Elo-modelled average win probability

Newcastle Northstars

Elo 1584
WWWWW
64.7%
vs

Brisbane Lightning

Elo 1445
LLLLL
35.3%

These percentages are a prediction based on each team's Elo rating, a score that goes up after wins and down after losses. You can check how this is calculated below.

How this probability was calculated

Brisbane Lightning gets a small bonus for playing at home. A big win raises a team's rating more than a close one does, and overtime or shootout wins count for less, since the game was still tied when regular time ended. Ratings update after every game, so each team's recent form is already built into the number you see here.

Brisbane Lightning Elo rating going in 1445
Newcastle Northstars Elo rating going in 1584
Home-ice advantage (applied to Brisbane Lightning) +35 → 1480
Adjusted rating gap -104 favouring Newcastle Northstars
Win probability = 1 ÷ (1 + 10−gap÷400)  →  35.3% Brisbane Lightning · 64.7% Newcastle Northstars

Head-to-head this season

DateAwayScoreHome
Sun 12 Jul, 2026 Brisbane Lightning 5–9 Newcastle Northstars
Sat 30 May, 2026 Brisbane Lightning 7–3 Newcastle Northstars
Sun 24 May, 2026 Newcastle Northstars 10–0 Brisbane Lightning
Sat 23 May, 2026 Newcastle Northstars 10–7 Brisbane Lightning

In-Form Players

#Top ForwardsPTSForm (L10)Lg Rank
25 Evgenii Skachkov 69 #1
20 santeri haarala 67 #4
17 Francis Drolet 40 #22
#Top DefencePTSForm (L10)Lg Rank
6 Akihide Watanabe 40 #23
77 Ethan Hawes 17 #71
10 Aziz Baazzi 13 #90
#GoaliesSV%GP
32 Matus Trnka 0.893 24
75 Matthew Montgomery 0.000 7
#Top ForwardsPTSForm (L10)Lg Rank
42 Tanner Hopps 68 #3
27 Grant Hebert 56 #7
87 Batu Gendunov 34 #27
#Top DefencePTSForm (L10)Lg Rank
13 Zachary Shankar 52 #12
22 Alex Campbell 45 #19
26 Neil Pretorius 21 #58
#GoaliesSV%GP
31 Jakob Doornbos 0.851 22
70 Dillon Dewar 0.857 10

How Elo ratings work

Elo is a rating system first made for chess, and it works just as well for ranking hockey teams. Every team starts the season with a rating of 1500. After each game, the winner's rating goes up and the loser's rating goes down. The size of the change depends on how surprising the result was. Beating a much stronger team gains more points than beating a weaker one, and losing to a weaker team costs more points than losing to a stronger one.

Here's how AIHL Forecaster calculates its ratings. The home team gets a +35 point bonus before each game, since playing at home is a real advantage in hockey. A win in regular time earns extra points if the margin was large, up to a cap, so a blowout moves the rating more than a one-goal win. Overtime and shootout results only shift the rating a small amount, since both teams were still tied when regular time ended. Ratings are recalculated after every single game, so a team's Elo rating always reflects its most recent form, not just its overall record.