← All teams

Sydney Bears @ Brisbane Lightning

Sun 17 May, 2026 · IceWorld Boondall Brisbane · Final: Sydney Bears 7–4 Brisbane Lightning
Elo-modelled average win probability

Sydney Bears

Elo 1515
LLLSW
51.5%
vs

Brisbane Lightning

Elo 1469
LLLLL
48.5%

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 1469
Sydney Bears Elo rating going in 1515
Home-ice advantage (applied to Brisbane Lightning) +35 → 1504
Adjusted rating gap -11 favouring Sydney Bears
Win probability = 1 ÷ (1 + 10−gap÷400)  →  48.5% Brisbane Lightning · 51.5% Sydney Bears

Head-to-head this season

DateAwayScoreHome
Sun 28 Jun, 2026 Brisbane Lightning 0–8 Sydney Bears
Sun 17 May, 2026 Sydney Bears 7–4 Brisbane Lightning
Sat 16 May, 2026 Sydney Bears 6–5 /OT Brisbane Lightning
Sat 18 Apr, 2026 Brisbane Lightning 4–6 Sydney Bears

In-Form Players

#Top ForwardsPTSForm (L10)Lg Rank
54 Lucas Herrmann 52 #10
9 Gustav Remler-Jensen 27 #40
67 Nick Seitz 26 #41
#Top DefencePTSForm (L10)Lg Rank
12 Alexander Gauthier 17 #69
97 Tyerell Clare 14 #87
76 Kevin Sadovski 7 #127
#GoaliesSV%GP
28 Anthony Kimlin 0.883 19
60 Hayden Plimley 0.890 13
#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.