🏆 NHL Picks Leaderboard
See how users are performing on NHL picks and compare results against the pre-game model.
🤖 Model Performance
58.7%
Accuracy
390
Correct Picks
664
Games Evaluated
XGBoost • Updated nightly • Filtered by season and game type
Compact landscape view: some columns are hidden to fit smaller rotated screens.
#1
N60
69.0%
User Accuracy
Picks
187
Correct
129
Model Accuracy
67.9%
Vs Model
+1.1%
#2
McGoatzema
63.6%
User Accuracy
Picks
33
Correct
21
Model Accuracy
63.6%
Vs Model
0.0%
#3
nanderson
58.5%
User Accuracy
Picks
41
Correct
24
Model Accuracy
61.0%
Vs Model
-2.5%
#4
TastyTBags4U
57.8%
User Accuracy
Picks
83
Correct
48
Model Accuracy
54.2%
Vs Model
+3.6%
#5
natha
57.1%
User Accuracy
Picks
42
Correct
24
Model Accuracy
59.5%
Vs Model
-2.4%
#6
rogercheeto1
54.3%
User Accuracy
Picks
35
Correct
19
Model Accuracy
51.4%
Vs Model
+2.9%
#7
Nathan_iPhone
53.6%
User Accuracy
Picks
110
Correct
59
Model Accuracy
53.6%
Vs Model
0.0%
#8
Durado Boy
52.5%
User Accuracy
Picks
282
Correct
148
Model Accuracy
57.1%
Vs Model
-4.6%
#9
EthanF98
51.8%
User Accuracy
Picks
110
Correct
57
Model Accuracy
51.8%
Vs Model
0.0%
#10
Lupin
46.7%
User Accuracy
Picks
30
Correct
14
Model Accuracy
56.7%
Vs Model
-10.0%
#11
ASoggyWaffle
44.1%
User Accuracy
Picks
34
Correct
15
Model Accuracy
58.8%
Vs Model
-14.7%
| # | Username | Picks | Correct | User Accuracy | Model Record | Model Accuracy | Vs Model |
|---|---|---|---|---|---|---|---|
| 1 | N60 | 187 | 129 | 69.0% | 127-60 | 67.9% | +1.1% |
| 2 | McGoatzema | 33 | 21 | 63.6% | 21-12 | 63.6% | 0.0% |
| 3 | nanderson | 41 | 24 | 58.5% | 25-16 | 61.0% | -2.5% |
| 4 | TastyTBags4U | 83 | 48 | 57.8% | 45-38 | 54.2% | +3.6% |
| 5 | natha | 42 | 24 | 57.1% | 25-17 | 59.5% | -2.4% |
| 6 | rogercheeto1 | 35 | 19 | 54.3% | 18-17 | 51.4% | +2.9% |
| 7 | Nathan_iPhone | 110 | 59 | 53.6% | 59-51 | 53.6% | 0.0% |
| 8 | Durado Boy | 282 | 148 | 52.5% | 161-121 | 57.1% | -4.6% |
| 9 | EthanF98 | 110 | 57 | 51.8% | 57-53 | 51.8% | 0.0% |
| 10 | Lupin | 30 | 14 | 46.7% | 17-13 | 56.7% | -10.0% |
| 11 | ASoggyWaffle | 34 | 15 | 44.1% | 20-14 | 58.8% | -14.7% |
Compact landscape view: some columns are hidden to fit smaller rotated screens.
#1
RJM2026
Not Yet Qualified
100.0%
User Accuracy
Picks
3
Correct
3
Model Accuracy
100.0%
Vs Model
0.0%
#2
ARCHAHNGELl
Not Yet Qualified
100.0%
User Accuracy
Picks
1
Correct
1
Model Accuracy
100.0%
Vs Model
0.0%
#3
Bzaone
Not Yet Qualified
100.0%
User Accuracy
Picks
1
Correct
1
Model Accuracy
0.0%
Vs Model
+100.0%
#4
Drakarys
Not Yet Qualified
100.0%
User Accuracy
Picks
1
Correct
1
Model Accuracy
0.0%
Vs Model
+100.0%
#5
Keseven
Not Yet Qualified
100.0%
User Accuracy
Picks
1
Correct
1
Model Accuracy
100.0%
Vs Model
0.0%
#6
Mattymo
Not Yet Qualified
81.8%
User Accuracy
Picks
11
Correct
9
Model Accuracy
63.6%
Vs Model
+18.2%
#7
jaycat
Not Yet Qualified
75.0%
User Accuracy
Picks
4
Correct
3
Model Accuracy
75.0%
Vs Model
0.0%
#8
PW
Not Yet Qualified
75.0%
User Accuracy
Picks
4
Correct
3
Model Accuracy
75.0%
Vs Model
0.0%
#9
Bergzy
Not Yet Qualified
71.4%
User Accuracy
Picks
7
Correct
5
Model Accuracy
57.1%
Vs Model
+14.3%
#10
modestant13
Not Yet Qualified
71.4%
User Accuracy
Picks
7
Correct
5
Model Accuracy
57.1%
Vs Model
+14.3%
#11
esua82
Not Yet Qualified
60.0%
User Accuracy
Picks
5
Correct
3
Model Accuracy
60.0%
Vs Model
0.0%
#12
h4ngout
Not Yet Qualified
55.0%
User Accuracy
Picks
20
Correct
11
Model Accuracy
55.0%
Vs Model
0.0%
#13
mianroguerra
Not Yet Qualified
50.0%
User Accuracy
Picks
24
Correct
12
Model Accuracy
50.0%
Vs Model
0.0%
#14
NoahPMan
Not Yet Qualified
50.0%
User Accuracy
Picks
22
Correct
11
Model Accuracy
72.7%
Vs Model
-22.7%
#15
JZO_Splash
Not Yet Qualified
50.0%
User Accuracy
Picks
6
Correct
3
Model Accuracy
50.0%
Vs Model
0.0%
#16
LasVegasLlama
Not Yet Qualified
50.0%
User Accuracy
Picks
2
Correct
1
Model Accuracy
0.0%
Vs Model
+50.0%
#17
Kamk100
Not Yet Qualified
40.0%
User Accuracy
Picks
5
Correct
2
Model Accuracy
60.0%
Vs Model
-20.0%
#18
milagrin
Not Yet Qualified
33.3%
User Accuracy
Picks
3
Correct
1
Model Accuracy
33.3%
Vs Model
0.0%
#19
grmnvch
Not Yet Qualified
20.0%
User Accuracy
Picks
5
Correct
1
Model Accuracy
60.0%
Vs Model
-40.0%
#20
BigPapa27
Not Yet Qualified
16.7%
User Accuracy
Picks
6
Correct
1
Model Accuracy
50.0%
Vs Model
-33.3%
#21
ayaan72
Not Yet Qualified
0.0%
User Accuracy
Picks
2
Correct
0
Model Accuracy
0.0%
Vs Model
0.0%
#22
bertonking
Not Yet Qualified
0.0%
User Accuracy
Picks
1
Correct
0
Model Accuracy
0.0%
Vs Model
0.0%
#23
chicken5o
Not Yet Qualified
0.0%
User Accuracy
Picks
1
Correct
0
Model Accuracy
100.0%
Vs Model
-100.0%
#24
Keegz
Not Yet Qualified
0.0%
User Accuracy
Picks
1
Correct
0
Model Accuracy
0.0%
Vs Model
0.0%
| # | Username | Picks | Correct | User Accuracy | Model Record | Model Accuracy | Vs Model |
|---|---|---|---|---|---|---|---|
| 1 | RJM2026 Not Yet Qualified N | 3 | 3 | 100.0% | 3-0 | 100.0% | 0.0% |
| 2 | ARCHAHNGELl Not Yet Qualified N | 1 | 1 | 100.0% | 1-0 | 100.0% | 0.0% |
| 3 | Bzaone Not Yet Qualified N | 1 | 1 | 100.0% | 0-1 | 0.0% | +100.0% |
| 4 | Drakarys Not Yet Qualified N | 1 | 1 | 100.0% | 0-1 | 0.0% | +100.0% |
| 5 | Keseven Not Yet Qualified N | 1 | 1 | 100.0% | 1-0 | 100.0% | 0.0% |
| 6 | Mattymo Not Yet Qualified N | 11 | 9 | 81.8% | 7-4 | 63.6% | +18.2% |
| 7 | jaycat Not Yet Qualified N | 4 | 3 | 75.0% | 3-1 | 75.0% | 0.0% |
| 8 | PW Not Yet Qualified N | 4 | 3 | 75.0% | 3-1 | 75.0% | 0.0% |
| 9 | Bergzy Not Yet Qualified N | 7 | 5 | 71.4% | 4-3 | 57.1% | +14.3% |
| 10 | modestant13 Not Yet Qualified N | 7 | 5 | 71.4% | 4-3 | 57.1% | +14.3% |
| 11 | esua82 Not Yet Qualified N | 5 | 3 | 60.0% | 3-2 | 60.0% | 0.0% |
| 12 | h4ngout Not Yet Qualified N | 20 | 11 | 55.0% | 11-9 | 55.0% | 0.0% |
| 13 | mianroguerra Not Yet Qualified N | 24 | 12 | 50.0% | 12-12 | 50.0% | 0.0% |
| 14 | NoahPMan Not Yet Qualified N | 22 | 11 | 50.0% | 16-6 | 72.7% | -22.7% |
| 15 | JZO_Splash Not Yet Qualified N | 6 | 3 | 50.0% | 3-3 | 50.0% | 0.0% |
| 16 | LasVegasLlama Not Yet Qualified N | 2 | 1 | 50.0% | 0-2 | 0.0% | +50.0% |
| 17 | Kamk100 Not Yet Qualified N | 5 | 2 | 40.0% | 3-2 | 60.0% | -20.0% |
| 18 | milagrin Not Yet Qualified N | 3 | 1 | 33.3% | 1-2 | 33.3% | 0.0% |
| 19 | grmnvch Not Yet Qualified N | 5 | 1 | 20.0% | 3-2 | 60.0% | -40.0% |
| 20 | BigPapa27 Not Yet Qualified N | 6 | 1 | 16.7% | 3-3 | 50.0% | -33.3% |
| 21 | ayaan72 Not Yet Qualified N | 2 | 0 | 0.0% | 0-2 | 0.0% | 0.0% |
| 22 | bertonking Not Yet Qualified N | 1 | 0 | 0.0% | 0-1 | 0.0% | 0.0% |
| 23 | chicken5o Not Yet Qualified N | 1 | 0 | 0.0% | 1-0 | 100.0% | -100.0% |
| 24 | Keegz Not Yet Qualified N | 1 | 0 | 0.0% | 0-1 | 0.0% | 0.0% |
This page ranks users based on how well they performed on completed NHL game picks. It also compares each user against the pre-game model on the exact same games they picked.
How the leaderboard works
Each time a user makes a pick and that game is completed, the result can be graded as correct or incorrect. The leaderboard then summarizes those results across all completed picks for that user.
When the qualification toggle is turned on, the main leaderboard shows only users with at least 25 completed picks. Users below that threshold appear in the secondary section.
Column explanations
#
The user’s rank in the current leaderboard view. Rank changes depending on whether the qualification filter is on or off.
Username
The account name of the user. Users with the
Not Yet Qualified
badge have not reached the minimum completed-pick threshold for the main qualified leaderboard.
Picks
The total number of completed picks graded for that user. Only games with final scores are included here.
Correct
The number of completed picks where the user selected the winning team correctly.
User Accuracy
The percentage of completed picks the user got correct.
Formula:
User Accuracy = (Correct Picks ÷ Total Picks) × 100
User Accuracy = (Correct Picks ÷ Total Picks) × 100
Model Record
The model’s win-loss record on the exact same completed games that this user picked.
This makes the comparison fair because both are being judged on the same sample of games.
Example:
18-7 means the model was correct on 18 of that user’s 25 graded games and incorrect on 7.
18-7 means the model was correct on 18 of that user’s 25 graded games and incorrect on 7.
Model Accuracy
The model’s accuracy on the same completed games included in that user’s results.
Formula:
Model Accuracy = (Model Correct ÷ Model Total) × 100
Model Accuracy = (Model Correct ÷ Model Total) × 100
Vs Model
The difference between the user’s accuracy and the model’s accuracy on the same games.
A positive number means the user outperformed the model. A negative number means the model performed better.
Formula:
Vs Model = User Accuracy − Model Accuracy
Vs Model = User Accuracy − Model Accuracy
How to read the colors
+ value
means the user beat the model on those games.
- value
means the model performed better than the user.
0.0%
means the user and model performed equally on that sample.
Important notes
- Only completed games are counted in leaderboard results.
- Upcoming picks are not included until the game is final.
- The qualified leaderboard is meant to reduce small-sample noise.
- A user with only a few picks may have a high percentage that changes quickly.
- The model comparison is based only on games where model results are available.
Quick example
User example:
Picks: 30
Correct: 18
User Accuracy: 60.0%
Model Record: 16-14
Model Accuracy: 53.3%
Vs Model: +6.7%