2011–12 Polska Liga Hokejowa season
The 2011–12 Polska Liga Hokejowa season was the 77th season of the Polska Liga Hokejowa, the top level of ice hockey in Poland. Eight teams participated in the league, and Ciarko PBS Bank Sanok won the championship.
2011–12 Polska Liga Hokejowa season | |
---|---|
League | Polska Liga Hokejowa |
Sport | Ice hockey |
Number of teams | 8 |
Regular season | |
Regular-season winner | Ciarko PBS Bank Sanok |
Relegated to 1. Liga | Podhale Nowy Targ |
Playoffs | |
Champions | Ciarko PBS Bank Sanok |
Regular season
![](../I/m/PLH_final_2012_Sanok_champions_players_from_Podhale_Nowy_Targ.jpg)
Sanok players after winning the championship.
Club | GP | W | OTW | OTL | L | Goals | Pts | |
---|---|---|---|---|---|---|---|---|
1. | Ciarko PBS Bank Sanok | 42 | 29 | 3 | 0 | 10 | 204:112 | 93 |
2. | KS Cracovia | 42 | 25 | 3 | 1 | 13 | 210:130 | 82 |
3. | Unia Oświęcim | 42 | 26 | 0 | 3 | 13 | 182:133 | 81 |
4. | JKH GKS Jastrzębie | 42 | 22 | 4 | 4 | 12 | 161:129 | 78 |
5. | GKS Tychy | 42 | 22 | 3 | 4 | 13 | 139:103 | 76 |
6. | Zagłębie Sosnowiec | 42 | 9 | 6 | 2 | 25 | 122:177 | 41 |
7. | KS Toruń | 42 | 7 | 2 | 4 | 29 | 107:228 | 29 |
8. | MMKS Podhale Nowy Targ | 42 | 5 | 2 | 5 | 30 | 116:229 | 24 |
Playoffs
Semi-finals | Final | |||||
Ciarko PBS Bank Sanok | 4 | |||||
JKH GKS Jastrzębie | 0 | |||||
KH Sanok | 4 | |||||
KS Cracovia | 1 | |||||
KS Cracovia | 4 | |||||
Unia Oświęcim | 0 | |||||
Third place | ||||||
Unia Oświęcim | 4 | |||||
JKH GKS Jastrzębie | 3 |
Play-downs
- GKS Tychy - MMKS Podhale Nowy Targ 4:1
- Zagłębie Sosnowiec - KS Toruń 4:3
- 5th place
- GKS Tychy - Zagłębie Sosnowiec 10:1 (Over two games)
- 7th place
- KS Toruń - MMKS Podhale Nowy Targ 4:1
MMKS Podhale Nowy Targ is relegated to the Polish 1. Liga
gollark: All are to, broadly speaking.
gollark: Good!
gollark: FEAR the webring².
gollark: I'm sure Google has lots of spare GPU/TPU power. They have some ridiculous GPT-3-scale image/text model in development now, and use BERT-like entities for search parsing.
gollark: I'd think that it would be possible to detect it if you had a lot of samples of it versus real human text. And there was this demo highlighting differences between human and GPTous text, via highlighting low-probability-from-the-model words (which are often also the most important).
External links
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