HockeyAllsvenskan 2026/27
HockeyAllsvenskan stats – xG table, leaderboards and top scorers
The points table tells you what has happened. This page tells you why – and what is likely to happen next. Here is the model’s table for the HockeyAllsvenskan 2026/27: expected goals for and against, shots, special teams and playing style alongside the usual points. Below it are the leaderboards – goals, points, xG and the goaltenders ranked on what can actually be measured.
Everything is calculated from the event data, match by match, and updated after every round played. These are the same numbers behind the predictions for the next round. Hover over the question mark by each column if anything is unclear. It usually is the first time.
Best xG difference per match right now: AIK Hockey (+0.97). Joel Svensson (IK Oskarshamn) leads the goalscoring chart with 13 goals – Tyler Kelleher tops the points chart with 28 points.
The model's table HockeyAllsvenskan 2026/27
The official standings with the underlying numbers alongside. Points tell you who is where. xGD tells you who should be.
98 matches played · updated 27 Oct
| Team | W–OTW–OTL–L | Playing style | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | AIK Hockey | 35 | 14 | 10–2–1–1 | 57–36 | 54.8 | 41.2 | +13.6 | 440 | 358 | 20.5% | 67.6% | 50.5% | 89.9% | |
| 2 | Leksand | 33 | 14 | 11–0–0–3 | 62–34 | 47.2 | 38.1 | +9.1 | 346 | 325 | 34.9% | 88.0% | 47.0% | 89.5% | |
| 3 | Kalmar HC | 28 | 14 | 8–1–2–3 | 46–38 | 44.4 | 41.2 | +3.2 | 381 | 289 | 22.0% | 70.7% | 51.8% | 86.9% | |
| 4 | MoDo | 28 | 14 | 6–4–2–2 | 42–34 | 47.1 | 35.1 | +12.0 | 371 | 305 | 20.5% | 84.6% | 47.9% | 88.9% | |
| 5 | Södertälje SK | 25 | 14 | 7–1–2–4 | 45–33 | 39.6 | 35.3 | +4.3 | 368 | 355 | 31.1% | 79.1% | 57.5% | 90.7% | |
| 6 | IK Oskarshamn | 23 | 15 | 6–2–1–6 | 56–52 | 47.6 | 37.9 | +9.7 | 362 | 303 | 29.3% | 66.7% | 47.6% | 82.8% | |
| 7 | Mora IK | 21 | 14 | 6–0–3–5 | 41–33 | 40.8 | 35.5 | +5.3 | 350 | 342 | 18.6% | 84.6% | 48.3% | 90.4% | |
| 8 | Östersunds IK | 18 | 14 | 3–3–3–5 | 35–42 | 37.2 | 46.0 | -8.8 | 351 | 412 | 22.9% | 82.2% | 54.3% | 89.8% | |
| 9 | Almtuna | 18 | 14 | 5–1–1–7 | 37–50 | 35.9 | 43.9 | -8.0 | 336 | 410 | 14.5% | 83.1% | 41.9% | 87.8% | |
| 10 | BIK Karlskoga | 17 | 14 | 5–0–2–7 | 34–43 | 37.5 | 45.0 | -7.4 | 394 | 391 | 25.0% | 70.6% | 57.2% | 89.0% | |
| 11 | Västerås | 15 | 14 | 4–1–1–8 | 38–43 | 34.5 | 39.9 | -5.4 | 343 | 324 | 23.4% | 77.6% | 49.3% | 86.7% | |
| 12 | Nybro Vikings | 13 | 14 | 3–2–0–9 | 29–45 | 38.4 | 40.3 | -1.8 | 347 | 338 | 19.5% | 75.0% | 45.4% | 86.7% | |
| 13 | Vimmerby | 12 | 13 | 2–2–2–7 | 37–48 | 31.7 | 34.5 | -2.7 | 303 | 365 | 20.0% | 69.8% | 50.7% | 86.8% | |
| 14 | Visby/Roma | 8 | 14 | 2–1–0–11 | 29–57 | 24.5 | 47.6 | -23.1 | 248 | 423 | 27.3% | 68.4% | 46.5% | 86.5% |
Shots against and faceoff percentage are shown on wider screens. Position and points are the official ones. xG, xGA, shots, special teams and save percentage are calculated from the event data match by match. Click a column heading to sort, the question mark for an explanation.
Leaderboards HockeyAllsvenskan 2026/27 – top scorers, points, xG and goaltenders
Goals and points as usual – and next to them what the players should have produced. Goaltenders are ranked on goals saved above expected.
Points leaders
Season totals. The per game unit (GU) column normalises for ice time: 1 game unit (GU) = 15 min of ice time — the league average for a skater per match. Goaltenders are counted per 60 minutes. That way players with different ice time are compared fairly.
| # | Player | GP | G | A | P | xG | P/GU | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Tyler Kelleher | 14 | 11 | 17 | 28 | 8.40 | 8.26 | 7.32 | 1.55 |
| 2 | Joel Svensson | 15 | 13 | 10 | 23 | 7.14 | 9.96 | 7.97 | 1.30 |
| 3 | Calle Karlsson | 15 | 8 | 10 | 18 | 7.67 | 5.46 | 5.83 | 1.00 |
| 4 | Carter Souch LW SSK | 14 | 10 | 7 | 17 | 6.24 | 6.94 | 6.73 | 0.97 |
| 5 | Patrik Zackrisson | 13 | 6 | 11 | 17 | 3.57 | 1.25 | 7.05 | 1.02 |
| 6 | Oskar Lang | 14 | 8 | 8 | 16 | 3.83 | 3.28 | 6.59 | 1.04 |
| 7 | Tim Theocharidis D AIK | 14 | 3 | 13 | 16 | 4.82 | 4.17 | 4.60 | 0.81 |
| 8 | Åke Stakkestad | 14 | 7 | 8 | 15 | 5.97 | 3.58 | 5.92 | 0.93 |
| 9 | Hugo Lejon | 13 | 6 | 9 | 15 | 2.81 | 3.13 | 5.63 | 1.15 |
| 10 | Josh Passolt | 14 | 7 | 7 | 14 | 4.78 | 3.47 | 6.31 | 0.89 |
Top goalscorers
Season totals. The per game unit (GU) column normalises for ice time: 1 game unit (GU) = 15 min of ice time — the league average for a skater per match. Goaltenders are counted per 60 minutes. That way players with different ice time are compared fairly.
| # | Player | GP | G | A | P | xG | G/GU | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Joel Svensson | 15 | 13 | 10 | 23 | 7.14 | 9.96 | 7.97 | 0.73 |
| 2 | Tyler Kelleher | 14 | 11 | 17 | 28 | 8.40 | 8.26 | 7.32 | 0.61 |
| 3 | Carter Souch LW SSK | 14 | 10 | 7 | 17 | 6.24 | 6.94 | 6.73 | 0.57 |
| 4 | Calle Karlsson | 15 | 8 | 10 | 18 | 7.67 | 5.46 | 5.83 | 0.44 |
| 5 | Carl Mattsson | 14 | 8 | 2 | 10 | 5.36 | 3.08 | 6.03 | 0.57 |
| 6 | Oskar Lang | 14 | 8 | 8 | 16 | 3.83 | 3.28 | 6.59 | 0.52 |
| 7 | Åke Stakkestad | 14 | 7 | 8 | 15 | 5.97 | 3.58 | 5.92 | 0.43 |
| 8 | August Lissel | 14 | 7 | 5 | 12 | 5.25 | 4.51 | 7.38 | 0.48 |
| 9 | Josh Passolt | 14 | 7 | 7 | 14 | 4.78 | 3.47 | 6.31 | 0.45 |
| 10 | Oliver Johansson LW AIK | 14 | 7 | 4 | 11 | 4.19 | 3.30 | 6.60 | 0.46 |
Assist leaders
Season totals. The per game unit (GU) column normalises for ice time: 1 game unit (GU) = 15 min of ice time — the league average for a skater per match. Goaltenders are counted per 60 minutes. That way players with different ice time are compared fairly.
| # | Player | GP | G | A | P | xG | A/GU | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Tyler Kelleher | 14 | 11 | 17 | 28 | 8.40 | 8.26 | 7.32 | 0.94 |
| 2 | Axel Elofsson | 15 | 0 | 14 | 14 | 2.01 | 5.70 | 7.21 | 0.74 |
| 3 | Tim Theocharidis D AIK | 14 | 3 | 13 | 16 | 4.82 | 4.17 | 4.60 | 0.65 |
| 4 | Patrik Zackrisson | 13 | 6 | 11 | 17 | 3.57 | 1.25 | 7.05 | 0.66 |
| 5 | Jimmie Jansson | 14 | 1 | 11 | 12 | 1.55 | 3.24 | 6.67 | 0.54 |
| 6 | Tyler Angle | 14 | 1 | 11 | 12 | 2.09 | 4.69 | 7.46 | 0.66 |
| 7 | Joel Svensson | 15 | 13 | 10 | 23 | 7.14 | 9.96 | 7.97 | 0.56 |
| 8 | Calle Karlsson | 15 | 8 | 10 | 18 | 7.67 | 5.46 | 5.83 | 0.55 |
| 9 | Matt Brown | 15 | 4 | 10 | 14 | 2.12 | 3.43 | 5.37 | 0.63 |
| 10 | Tarun Fizer RW SSK | 13 | 3 | 10 | 13 | 4.58 | 3.66 | 6.21 | 0.62 |
xG leaders – expected goals
Season totals. The per game unit (GU) column normalises for ice time: 1 game unit (GU) = 15 min of ice time — the league average for a skater per match. Goaltenders are counted per 60 minutes. That way players with different ice time are compared fairly.
| # | Player | GP | G | A | P | xG | xG/GU | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Tyler Kelleher | 14 | 11 | 17 | 28 | 8.40 | 8.26 | 7.32 | 0.47 |
| 2 | Calle Karlsson | 15 | 8 | 10 | 18 | 7.67 | 5.46 | 5.83 | 0.42 |
| 3 | Joel Svensson | 15 | 13 | 10 | 23 | 7.14 | 9.96 | 7.97 | 0.40 |
| 4 | Elliot Ekmark | 14 | 6 | 4 | 10 | 6.92 | 1.98 | 5.23 | 0.37 |
| 5 | Ryland Mosley LW Mora IK | 14 | 5 | 5 | 10 | 6.89 | 4.39 | 5.03 | 0.40 |
| 6 | Carter Souch LW SSK | 14 | 10 | 7 | 17 | 6.24 | 6.94 | 6.73 | 0.36 |
| 7 | Scott Pooley RW AIK | 14 | 5 | 7 | 12 | 6.22 | 6.47 | 5.82 | 0.38 |
| 8 | Tyler Vesel C AIK | 14 | 3 | 4 | 7 | 5.98 | 5.59 | 5.47 | 0.35 |
| 9 | Åke Stakkestad | 14 | 7 | 8 | 15 | 5.97 | 3.58 | 5.92 | 0.37 |
| 10 | Carl Mattsson | 14 | 8 | 2 | 10 | 5.36 | 3.08 | 6.03 | 0.38 |
xT leaders – expected threat
Season totals. The per game unit (GU) column normalises for ice time: 1 game unit (GU) = 15 min of ice time — the league average for a skater per match. Goaltenders are counted per 60 minutes. That way players with different ice time are compared fairly.
| # | Player | GP | G | A | P | xG | xT/GU | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Joel Svensson | 15 | 13 | 10 | 23 | 7.14 | 9.96 | 7.97 | 0.56 |
| 2 | Tyler Kelleher | 14 | 11 | 17 | 28 | 8.40 | 8.26 | 7.32 | 0.46 |
| 3 | Carter Souch LW SSK | 14 | 10 | 7 | 17 | 6.24 | 6.94 | 6.73 | 0.40 |
| 4 | Scott Pooley RW AIK | 14 | 5 | 7 | 12 | 6.22 | 6.47 | 5.82 | 0.40 |
| 5 | Daniel Öhrn C OSIK | 13 | 3 | 8 | 11 | 2.57 | 6.19 | 6.80 | 0.40 |
| 6 | Elton Hermansson | 14 | 4 | 5 | 9 | 4.67 | 6.04 | 6.34 | 0.39 |
| 7 | Travis Treloar RW BIK | 14 | 4 | 7 | 11 | 4.22 | 5.96 | 6.06 | 0.35 |
| 8 | Daniyal Dzhaniyev | 15 | 5 | 7 | 12 | 4.55 | 5.71 | 6.01 | 0.37 |
| 9 | Axel Elofsson | 15 | 0 | 14 | 14 | 2.01 | 5.70 | 7.21 | 0.30 |
| 10 | Hannes Hellberg | 13 | 1 | 5 | 6 | 2.33 | 5.68 | 5.39 | 0.41 |
Highest match rating
Season totals. The per game unit (GU) column normalises for ice time: 1 game unit (GU) = 15 min of ice time — the league average for a skater per match. Goaltenders are counted per 60 minutes. That way players with different ice time are compared fairly.
| # | Player | GP | G | A | P | xG | ||
|---|---|---|---|---|---|---|---|---|
| 1 | Elias Rosen | 12 | 6 | 4 | 10 | 2.58 | 3.94 | 8.65 |
| 2 | Pontus Näsén | 3 | 1 | 0 | 1 | 0.23 | 0.37 | 8.58 |
| 3 | Zach Wytinck | 14 | 5 | 3 | 8 | 1.40 | 4.01 | 8.01 |
| 4 | Joel Svensson | 15 | 13 | 10 | 23 | 7.14 | 9.96 | 7.97 |
| 5 | Olle Norberg D OSIK | 14 | 1 | 8 | 9 | 1.66 | 1.70 | 7.69 |
| 6 | Tyler Angle | 14 | 1 | 11 | 12 | 2.09 | 4.69 | 7.46 |
| 7 | Marcus Karlstrom | 13 | 0 | 3 | 3 | 1.02 | 4.13 | 7.41 |
| 8 | August Lissel | 14 | 7 | 5 | 12 | 5.25 | 4.51 | 7.38 |
| 9 | Tyler Kelleher | 14 | 11 | 17 | 28 | 8.40 | 8.26 | 7.32 |
| 10 | Axel Elofsson | 15 | 0 | 14 | 14 | 2.01 | 5.70 | 7.21 |
Goaltender leaders – goals saved above expected
At least 20 shots faced.
| # | Goaltender | Starts | Shots | GA | SV% | GSAx | |
|---|---|---|---|---|---|---|---|
| 1 | Robin Christoffersson | 5/6 | 153 | 6 | 96.1% | +3.68 | +0.68 |
| 2 | Brett Brochu | 10/10 | 255 | 23 | 91.0% | +3.01 | +0.30 |
| 3 | Victor Brattström | 4/4 | 118 | 7 | 94.1% | +1.32 | +0.32 |
| 4 | Olof Lindbom | 7/9 | 221 | 16 | 92.8% | +0.23 | +0.03 |
| 5 | Hampus Hedman | 9/9 | 303 | 24 | 92.1% | -0.01 | 0.00 |
| 6 | Simon Carlsson | 3/3 | 109 | 9 | 91.7% | -0.28 | -0.09 |
| 7 | Adam Werner | 7/7 | 205 | 18 | 91.2% | -1.07 | -0.15 |
| 8 | Marcus Hellgren | 5/6 | 169 | 14 | 91.7% | -1.87 | -0.35 |
| 9 | Teodor Munther | 3/3 | 73 | 8 | 89.0% | -1.98 | -0.64 |
| 10 | Tobias Breivold | 7/7 | 173 | 13 | 92.5% | -2.07 | -0.31 |
Goaltender leaders – save percentage
At least 20 shots faced.
| # | Goaltender | Starts | Shots | GA | SV% | GSAx | |
|---|---|---|---|---|---|---|---|
| 1 | Robin Christoffersson | 5/6 | 153 | 6 | 96.1% | +3.68 | +0.68 |
| 2 | Victor Brattström | 4/4 | 118 | 7 | 94.1% | +1.32 | +0.32 |
| 3 | Olof Lindbom | 7/9 | 221 | 16 | 92.8% | +0.23 | +0.03 |
| 4 | Love Härenstam | 10/10 | 282 | 21 | 92.6% | -3.29 | -0.33 |
| 5 | Tobias Breivold | 7/7 | 173 | 13 | 92.5% | -2.07 | -0.31 |
| 6 | Hampus Hedman | 9/9 | 303 | 24 | 92.1% | -0.01 | 0.00 |
| 7 | Simon Carlsson | 3/3 | 109 | 9 | 91.7% | -0.28 | -0.09 |
| 8 | Marcus Hellgren | 5/6 | 169 | 14 | 91.7% | -1.87 | -0.35 |
| 9 | Pontus Eltonius | 8/8 | 220 | 19 | 91.4% | -2.32 | -0.29 |
| 10 | Isak Sörqvist | 9/9 | 287 | 25 | 91.3% | -3.74 | -0.41 |
336 skaters and 28 goaltenders with ice time in HockeyAllsvenskan 2026/27. Top 10 per list.
Team metrics – the best in the league per category
The same 14 teams, seventeen metrics, the top five per category. Click a team for its full profile with the league rank for every number.
Goals per game/match
- 1
Leksands IF4.43 - 2
AIK4.07 - 3
IK Oskarshamn3.73 - 4
Kalmar HC3.29 - 5
Södertälje SK3.21
Goals against per game/matchlower = better
- 1
Södertälje SK2.36 - 2
Mora IK2.36 - 3
Leksands IF2.43 - 4
Modo Hockey2.43 - 5
AIK2.57
xG per game/match
- 1
AIK3.91 - 2
Leksands IF3.37 - 3
Modo Hockey3.36 - 4
Kalmar HC3.17 - 5
IK Oskarshamn3.17
xGA per game/matchlower = better
- 1
Modo Hockey2.51 - 2
Södertälje SK2.52 - 3
Mora IK2.53 - 4
IK Oskarshamn2.53 - 5
Vimmerby HC2.65
xT per game/match
- 1
AIK3.69 - 2
Leksands IF3.48 - 3
Modo Hockey3.47 - 4
Kalmar HC3.30 - 5
Mora IK3.26
xTA per game/matchlower = better
- 1
Södertälje SK2.56 - 2
Västerås IK2.66 - 3
Mora IK2.77 - 4
AIK2.79 - 5
IK Oskarshamn2.81
Counter-attack xT per game/match
- 1
Leksands IF1.07 - 2
AIK1.03 - 3
Modo Hockey0.99 - 4
Vimmerby HC0.99 - 5
IK Oskarshamn0.94
Shots on goal per game/match
- 1
AIK31.4 - 2
BIK Karlskoga28.1 - 3
Kalmar HC27.2 - 4
Modo Hockey26.5 - 5
Södertälje SK26.3
Shots against per game/matchlower = better
- 1
IK Oskarshamn20.2 - 2
Kalmar HC20.6 - 3
Modo Hockey21.8 - 4
Västerås IK23.1 - 5
Leksands IF23.2
Shot attempts per game/match
- 1
AIK54.9 - 2
BIK Karlskoga50.7 - 3
Modo Hockey50.4 - 4
Kalmar HC47.9 - 5
Västerås IK47.2
Time in OZ with the puck/match
- 1
Leksands IF7.3 min - 2
IK Oskarshamn7.1 min - 3
Kalmar HC6.9 min - 4
Västerås IK6.8 min - 5
BIK Karlskoga6.7 min
Field tiltseason
- 1
Leksands IF56.3% - 2
IK Oskarshamn55.4% - 3
Modo Hockey54.4% - 4
Kalmar HC53.2% - 5
Mora IK53.1%
Passes per game/match
- 1
Leksands IF357 - 2
Mora IK357 - 3
IK Oskarshamn347 - 4
Modo Hockey338 - 5
Västerås IK337
Pass %season
- 1
Leksands IF79.0% - 2
Västerås IK78.3% - 3
Mora IK78.3% - 4
Almtuna IS78.1% - 5
IK Oskarshamn77.1%
Faceoff ratingseason
- 1
Kalmar HC1544 - 2
BIK Karlskoga1535 - 3
Östersunds IK1533 - 4
Södertälje SK1526 - 5
Modo Hockey1513
Penalties per game/matchlower = better
- 1
AIK2.6 - 2
Visby/Roma2.7 - 3
Modo Hockey2.8 - 4
Mora IK2.8 - 5
Kalmar HC2.9
PK goals per 2 min/2 minlower = better
- 1
Leksands IF0.13 - 2
Modo Hockey0.14 - 3
Mora IK0.14 - 4
Östersunds IK0.17 - 5
Almtuna IS0.19
PP goals per 2 min/2 min
- 1
Leksands IF0.36 - 2
Södertälje SK0.35 - 3
Visby/Roma0.29 - 4
BIK Karlskoga0.26 - 5
IK Oskarshamn0.25
PP xG per 2 min/2 min
- 1
Kalmar HC0.31 - 2
Modo Hockey0.30 - 3
AIK0.29 - 4
BIK Karlskoga0.28 - 5
Södertälje SK0.27
xGA per 2 min of PK/2 minlower = better
- 1
Modo Hockey0.15 - 2
Mora IK0.18 - 3
Kalmar HC0.19 - 4
IK Oskarshamn0.19 - 5
Nybro Vikings IF0.21
Save %season
- 1
Södertälje SK90.7% - 2
Mora IK90.4% - 3
AIK89.9% - 4
Östersunds IK89.8% - 5
Leksands IF89.5%
How to read the model’s table
Start with xGD. A team with a positive xG difference creates more than it allows, and sooner or later that usually shows in the points column. A team high in the table but low in xGD is living on the margins: a hot goaltender, shots in off the crossbar, a power play converting 30 per cent. That kind of thing regresses. Not always next week, but over a season.
That is where the value is. The odds market still prices a lot on league position and form in results, not on the underlying numbers. A HockeyAllsvenskan team that has lost three in a row with a positive xGD is cheaper than it should be. That is the simple idea behind everything we do here.
Shots on goal and save percentage go together. A team that allows 32 shots per match but has a 93 per cent save rate looks good in goals conceded. Until the day the goaltender is human again. Check both columns, not just the one that looks good.
Playing style is not a grade. Shot volume does not win more often than puck possession. But it tells you something about how the team wins – and which markets become interesting. A shot-volume team drives shot totals, a transition team scores more in the third period when the opponents are chasing.
Leaderboards that measure more than points
The goals and points leaderboards are here as they always have been. Next to them are the xG and xT leaderboards, which are more interesting. A player with six goals on 2.1 xG has finished brilliantly or been lucky – usually a bit of both, and it rarely lasts. A player with high xT and no points creates the danger but does not get the reward. Yet. That kind of player is often mispriced in the goalscorer markets.
The per-game-unit column normalises for ice time. A fourth-line centre playing twelve minutes a match cannot be compared with a first-line forward on twenty – not in totals. Per game unit he can. That is how scouts read statistics, and that is how we read them.
The goaltenders are ranked on GSAx – goals saved above expected. Save percentage punishes the goaltender behind a poor defence. GSAx looks at the shots the goaltender actually faced and asks how many an average goaltender would have let in. The difference is the goaltender’s credit. Or blame.
From stats to predictions
The numbers here are the same ones the model uses before every match. The difference is that the match page combines them with home advantage, form and opposition into a probability – and compares it with the odds. Go to this round's predictions, pick a match in the HockeyAllsvenskan fixtures or see how the predictions have performed so far.
HockeyAllsvenskan teams
Frequently asked questions about the HockeyAllsvenskan stats
What is an xG table for the HockeyAllsvenskan?
A table where the teams are listed by expected goals for and against instead of just goals scored and conceded. xG (expected goals) gives every shot a value between 0 and 1 for how often such a shot goes in – distance, angle, shot type and game situation are all weighed in. The sum over the season tells you how many goals a team should have scored. Here the xG table for the HockeyAllsvenskan 2026/27 is shown next to the official table, so you can see who is over- and underperforming their numbers.
Why does the model’s table differ from the official HockeyAllsvenskan table?
It does not in position and points – those are the official ones, with three points for a win after 60 minutes and two and one when a match is settled in overtime or a shootout. What differs are the columns alongside: xG, xGA, xGD, shots on goal, power play and penalty kill percentages, faceoffs, save percentage and playing style. They show how the teams earned their points, not just how many.
What does xGD mean and why does it matter?
xGD is xG minus xGA, the difference between the chances a team creates and the chances it allows. It is the number that best predicts future results – better than points, better than goal difference. A team with a clear plus in xGD and a minus in the table has been unlucky and usually climbs. The reverse falls.
What is GSAx for goaltenders?
Goals Saved Above Expected: how many fewer goals the goaltender has conceded than the combined xG of the shots says. A goaltender who has faced shots worth 40 expected goals and let in 34 has +6 GSAx. The measure takes shot quality into account, which save percentage does not – that is why we rank goaltenders on GSAx.
What does per game unit (GU) mean?
A game unit is the league’s average ice time per match for a skater, roughly 15–16 minutes. Goals, assists, xG and xT per game unit show what a player produces per unit of ice time instead of per match, so a player with little ice time can be compared with one who plays half the match. Goaltenders are counted per 60 minutes.
How often are the stats updated?
After every round played in the HockeyAllsvenskan, as soon as the match event data is in – normally within a day of the final buzzer. The table and leaderboards are built on the same data as the match pages’ predictions and match reports.
Where does the data come from?
From PlaymakerAI’s event data for Swedish ice hockey: every shot, pass, puck carry, faceoff and penalty with position and time, from every match in the SHL and HockeyAllsvenskan. All 14 teams in the HockeyAllsvenskan 2026/27 are included. The same data that powers Otto.Hockey.