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Pick'em Challenge Stats

Season Stats Center · Pick'em Challenge
🏆 See how Pick'em Challenge ranks against other pools
SnapshotAwardsStandingsWeek by Week Crowd & UpsetsTeamsTiebreakerPick TwinsHabits
Season Snapshot through Week 10
Players
117
of 117 members played
Sheets Submitted
862
across 10 weeks
Games Graded
137
games with a final result
Pick Accuracy
60.7%
7,307 of 12,040 picks right
Avg Correct / Sheet
8.5
per weekly sheet
Crowd Favorite Record
87–49
64% of favorites won
Upsets
49
games the crowd got wrong
Perfect Weeks
3
undefeated sheets
Season Awards rate awards need 5+ weeks played
🏆
Season Leader
95 correct
Most correct picks this season (ties: lowest MNF diff).
🎯
Sharpshooter
70.2% accuracy
Best pick accuracy (played 5+ weeks).
👑
Weekly Wins King
1 weekly win
Most weeks finished in 1st place.
Tied with 8 others
🥉
Podium Regular
2 top-3 finishes
Most top-3 weekly finishes.
Tied with 2 others
🔥
Hot Hand
21 straight correct
Longest streak of correct picks in a row.
⚡
On Fire Right Now
Steve Erbe💯🔥
15 in a row (active)
Longest correct-pick streak that is still alive.
⭐
Best Week Ever
15 correct in Week 9
Highest single-week score.
Tied with 2 others
💯
Perfect Week
1 perfect week
Went undefeated for an entire week.
Tied with 2 others
📊
Chalk Eater
94% with the crowd
Picked with the majority most often.
👾
The Contrarian
44% with the crowd
Went against the majority most often.
💥
Upset King
24 upset hits
Most correct picks that went against the crowd.
🧠
Mr. Consistent
±6.6 pts week to week
Smallest swings in weekly accuracy.
🎢
Boom or Bust
±22.9 pts week to week
Biggest swings between great and rough weeks.
🧙
Tiebreaker Wizard
misses by 9.0 pts on avg
Closest average MNF tiebreaker guess.
Tied with 1 other
🎯
Bullseye
1 exact MNF total
Nailed the Monday night total exactly.
Tied with 13 others
🛡
Defense Wins
guesses 20.7 pts avg
Lowest average MNF guess.
💪
Iron Man
10 weeks played
Most weeks with a sheet submitted.
Tied with 45 others
🐦
Early Bird
60.6 days before kickoff
Submits picks the earliest on average.
⏱
Buzzer Beater
1.8 hrs before kickoff
Cuts it closest to the deadline.
📣
Biggest Homer
picked Baltimore 10 times
Picked one team more often than anyone else.
Tied with 18 others
📈
Most Improved
+25.7 pts accuracy
Biggest jump from the first half of their weeks to the second half.
🔄
Bounce Back
+9 correct (Wk 8 → Wk 9)
Biggest week-to-week improvement in correct picks.
🎲
Coin Flip Master
100% on toss-ups (4 of 4)
Best record on games the crowd split 60/40 or closer.
🌙
Monday Night Magic
6 of 6 Monday games right
Best record picking the last game of the week.
🥈
Always the Bridesmaid
2 second-place finishes
Most weeks finished in 2nd place.
Tied with 1 other
💔
So Close
1 week lost on the tiebreaker
Tied for the most correct picks, but lost on the MNF tiebreaker.
Tied with 5 others
🥶
Ice Cold
10 misses in a row
Longest run of wrong picks. It happens to everyone!
😠
Biggest Hater
picked against Arizona 10 times
Picked against one team more than anyone else.
Tied with 11 others
🦉
Night Owl
4 sheets saved after midnight
Most picks made between midnight and 5 a.m.
Season Standings & Player Stats click any column to sort
#PlayerCorrectAccuracyWks Avg / WkBestWorstWinsTop 3 TrendChalk %Upset HitsSolo HitsLong StreakCur Streak MNF DiffAvg DiffFavorite Team
1 Jason Hertlein👑 95 69.3% 10 9.5 14 W9 8 W6 0 0 89% 11 0 / 0 8 1 120 13.3 LA Rams ×9
2 Ken Hegeman🏆🔮 94 68.6% 10 9.4 14 W9 7 W7 🏆 1 1 79% 18 0 / 0 9 1 145 16.1 Green Bay ×10
3 Brendon Hajek🏆 93 67.9% 10 9.3 13 W8 8 W3 🏆 1 1 90% 10 0 / 0 15 1 104 11.6 LA Rams ×10
4 Sean Guzinski 93 67.9% 10 9.3 14 W9 8 W6 0 0 85% 12 0 / 0 11 1 125 13.9 LA Rams ×9
5 Johnny Hertlein 93 67.9% 10 9.3 14 W9 8 W3 0 0 92% 7 0 / 0 11 1 133 14.8 LA Rams ×9
6 Craig Ebert - CSS 92 67.2% 10 9.2 14 W9 7 W3 0 0 91% 8 0 / 0 11 1 98 10.9 Seattle ×10
7 Sam Langstaff🔮 92 67.2% 10 9.2 13 W9 8 W3 0 0 89% 9 0 / 0 9 1 123 13.7 LA Rams ×9
8 JJNel🏆 92 67.2% 10 9.2 14 W9 7 W3 🏆 1 1 91% 9 0 / 0 10 1 125 13.9 Green Bay ×10
9 Steve Erbe💯🔥 91 67.4% 9 10.1 15 W9 8 W3 0 1 90% 9 0 / 0 15 15 106 11.8 Seattle ×9
10 Jenni Brunner 91 66.4% 10 9.1 14 W9 7 W3 0 0 89% 9 0 / 0 9 1 115 12.8 Seattle ×9
11 Kyle Stibbe🏆💯 91 66.4% 10 9.1 15 W9 7 W6 🏆 1 1 92% 7 0 / 0 15 1 122 13.6 LA Rams ×10
12 Saroj Bhetawal 91 66.4% 10 9.1 14 W9 8 W3 0 0 89% 10 0 / 0 9 1 125 13.9 LA Rams ×9
13 Monti Pignatari 90 65.7% 10 9.0 13 W9 8 W4 0 0 74% 18 0 / 0 17 1 124 13.8 Chicago ×9
14 Lee Prellwitz 90 65.7% 10 9.0 14 W9 7 W6 0 0 93% 6 0 / 0 11 1 165 18.3 Seattle ×9
15 thomas mineau 89 65.0% 10 8.9 14 W9 8 W3 0 0 84% 11 0 / 0 11 1 127 14.1 Buffalo ×9
16 Teddi Ulrich💯 88 64.2% 10 8.8 15 W9 7 W3 0 1 94% 4 0 / 0 15 1 104 11.6 Seattle ×9
17 Warren Wenzel 88 64.2% 10 8.8 13 W9 7 W3 0 0 90% 8 0 / 0 7 1 119 13.2 Seattle ×9
18 Chris Lyons 88 64.2% 10 8.8 13 W9 7 W6 0 0 85% 11 0 / 0 6 1 136 15.1 LA Rams ×9
19 Brook Johnson🔥 87 64.4% 9 9.7 14 W9 7 W6 0 0 86% 9 0 / 0 8 8 102 11.3 Seattle ×9
20 Aswin uvaraj 87 63.5% 10 8.7 13 W9 8 W3 0 0 88% 8 0 / 0 11 1 115 12.8 LA Rams ×10
21 Meg D 87 63.5% 10 8.7 12 W9 7 W3 0 0 80% 13 0 / 0 8 1 120 13.3 Baltimore ×9
22 Lon Balczewski🔮 87 63.5% 10 8.7 13 W9 6 W7 0 0 76% 16 0 / 0 9 1 156 17.3 Green Bay ×10
23 Russ Burcaw🔮 86 62.8% 10 8.6 14 W9 6 W6 0 0 89% 7 0 / 0 11 1 111 12.3 Seattle ×9
24 butch.staroba 86 62.8% 10 8.6 12 W9 8 W6 0 0 82% 12 0 / 0 7 1 132 14.7 Seattle ×9
25 J.PODMOLIK 86 62.8% 10 8.6 11 W2 5 W6 0 1 72% 18 0 / 0 9 7 143 15.9 Seattle ×10
26 Paul Heidenreich 85 62.0% 10 8.5 14 W9 8 W4 0 0 84% 9 0 / 0 9 1 112 12.4 Green Bay ×10
27 Kirby Crosby 85 70.2% 9 9.4 14 W9 7 W3 0 2 82% 16 0 / 0 21 1 113 14.1 Cincinnati ×8
28 Lee Haskins🔥 85 62.0% 10 8.5 13 W9 6 W7 0 0 81% 12 0 / 0 10 8 114 12.7 Green Bay ×9
29 Steve Woolridge 85 62.0% 10 8.5 14 W9 6 W6 0 1 82% 11 0 / 0 10 1 119 13.2 Green Bay ×10
30 Glenn Harbison 85 62.0% 10 8.5 11 W2 7 W6 0 0 83% 11 0 / 0 6 1 124 13.8 Seattle ×10
31 Clifford Brandon Noel🏆🔥 85 62.0% 10 8.5 14 W2 4 W8 🏆 1 1 74% 17 0 / 0 10 10 127 14.1 Baltimore ×10
32 Frank Schoenborn 85 62.0% 10 8.5 13 W9 6 W7 0 0 84% 10 0 / 0 8 1 128 14.2 Green Bay ×10
33 Jim Farmer 85 62.0% 10 8.5 13 W9 7 W4 0 0 79% 13 0 / 0 8 1 135 15.0 Seattle ×8
34 Third N Shorty 84 61.3% 10 8.4 10 W1 7 W7 0 0 74% 16 0 / 0 8 1 136 15.1 Baltimore ×9
35 Erick Morales 83 60.6% 10 8.3 12 W8 7 W6 0 0 79% 13 0 / 0 10 1 138 15.3 LA Rams ×9
36 Jeff Shilts 82 59.9% 10 8.2 12 W1 6 W6 0 0 85% 8 0 / 0 8 1 185 20.6 Seattle ×9
37 Trina Retzlaff🏆 82 59.9% 10 8.2 12 W7 6 W2 🏆 1 1 60% 24 0 / 0 7 0 186 20.7 New England ×8
38 Jerry Bourgard🏆 81 59.1% 10 8.1 14 W4 4 W7 🏆 1 1 76% 14 0 / 0 14 1 118 13.1 San Francisco ×9
39 John Shortridge 81 66.9% 9 9.0 14 W9 5 W7 0 1 87% 10 0 / 0 8 1 125 15.6 Buffalo ×8
40 Chad Martin 81 60.0% 9 9.0 13 W4 6 W6 0 1 78% 12 0 / 0 10 1 131 14.6 Green Bay ×9
41 Kurt Weber 81 59.1% 10 8.1 12 W9 6 W8 0 0 84% 7 0 / 0 6 1 137 15.2 Seattle ×9
42 Karen Balczewski 81 65.9% 9 9.0 12 W9 6 W7 0 0 88% 9 0 / 0 8 1 193 24.1 LA Rams ×8
43 Charles Schaefer 80 58.4% 10 8.0 13 W9 6 W3 0 0 87% 5 0 / 0 9 1 110 12.2 Seattle ×10
44 Owen Johnson🔮 79 57.7% 10 7.9 11 W8 6 W2 0 0 71% 16 0 / 0 8 1 167 18.6 Cleveland ×9
45 Pete Nowak 78 56.9% 10 7.8 11 W2 5 W6 0 0 71% 13 0 / 0 7 2 106 11.8 LA Rams ×10
46 Raymond Steinbach 77 63.6% 9 8.6 11 W2 6 W6 0 1 78% 13 0 / 0 7 1 104 13.0 LA Rams ×9
47 Skyler Gieseke 77 56.2% 10 7.7 12 W9 6 W2 0 0 70% 17 0 / 0 7 1 119 13.2 Green Bay ×10
48 Gary Lynch 77 56.2% 10 7.7 10 W1 7 W7 0 0 74% 13 0 / 0 8 1 192 21.3 Baltimore ×10
49 Cindy Bishop 76 55.5% 10 7.6 14 W9 6 W3 0 0 82% 7 0 / 0 9 1 84 9.3 Buffalo ×9
50 Jordan Valiga 76 61.8% 9 8.4 14 W9 5 W3 0 1 86% 6 0 / 0 9 1 110 13.8 Green Bay ×9
51 Rhut2026 76 55.5% 10 7.6 12 W1 6 W3 0 0 67% 16 0 / 0 7 1 132 14.7 Green Bay ×9
52 Teresa Przybylski🏆 76 61.8% 9 8.4 13 W3 6 W7 🏆 1 1 69% 19 0 / 0 6 1 192 24.0 Baltimore ×9
53 Nicky Schellinger🏆🔮 75 61.5% 9 8.3 11 W6 7 W7 🏆 1 1 71% 18 0 / 0 7 2 108 13.5 LA Rams ×9
54 Matt Doeppers 75 62.0% 9 8.3 12 W9 6 W3 0 1 83% 10 0 / 0 11 1 129 16.1 Green Bay ×9
55 Amy Steinbach 73 60.3% 9 8.1 12 W1 6 W7 0 2 72% 15 0 / 0 7 1 100 12.5 Green Bay ×8
56 Lance J. 73 53.3% 10 7.3 12 W9 5 W7 0 0 75% 10 0 / 0 8 1 139 15.4 LA Rams ×10
57 Maria Esterholm 72 52.6% 10 7.2 12 W1 5 W7 0 0 58% 21 0 / 0 6 0 149 16.6 Baltimore ×9
58 Cathy Schmidt 71 58.2% 9 7.9 11 W3 6 W6 0 0 71% 18 0 / 0 6 1 97 12.1 San Francisco ×8
59 Matt Stowe 70 56.9% 9 7.8 10 W1 7 W6 0 0 63% 20 0 / 0 6 1 86 10.8 Seattle ×9
60 Cole Denzine🔮 70 57.4% 9 7.8 12 W2 6 W3 0 0 79% 12 0 / 0 6 1 116 14.5 Buffalo ×8
61 Emily DeLasky 70 51.1% 10 7.0 10 W2 4 W7 0 0 59% 18 0 / 0 6 1 168 18.7 Green Bay ×10
62 Robyn Fromolz 68 63.6% 8 8.5 14 W9 7 W3 0 0 85% 7 0 / 0 8 1 74 10.6 Buffalo ×8
63 Charlie Fromolz 68 63.6% 8 8.5 14 W9 7 W3 0 0 84% 7 0 / 0 9 1 102 14.6 Buffalo ×8
64 Elizabeth Hallstrand 68 65.4% 7 9.7 12 W4 7 W6 0 0 83% 12 0 / 0 7 0 109 15.6 Green Bay ×7
65 Joe Leckie 68 62.4% 8 8.5 11 W1 8 W4 0 0 82% 9 0 / 0 8 0 115 16.4 Seattle ×7
66 Reneta Thums 67 54.5% 9 7.4 10 W4 7 W1 0 0 70% 13 0 / 0 7 0 102 12.8 Baltimore ×8
67 AngFree🔮 67 54.5% 9 7.4 11 W6 6 W1 0 1 54% 23 0 / 0 7 0 145 18.1 Kansas City ×9
68 Kopitzke55🔥 67 62.6% 8 8.4 14 W9 6 W6 0 0 87% 7 0 / 0 11 11 152 21.7 Seattle ×8
69 Amy J 66 54.5% 8 8.3 13 W9 5 W7 0 0 64% 16 0 / 0 7 1 158 19.8 Green Bay ×7
70 Jesse Schellinger🔮 65 60.2% 8 8.1 12 W1 7 W3 0 1 73% 14 0 / 0 8 1 103 14.7 LA Rams ×8
71 sean tervort 65 60.2% 8 8.1 11 W4 6 W3 0 0 78% 10 0 / 0 8 1 106 15.1 Buffalo ×8
72 Nate Killinger 65 69.9% 7 9.3 14 W9 6 W6 0 0 87% 6 0 / 0 13 7 108 18.0 Buffalo ×7
73 Mike Przybylski 65 61.3% 7 9.3 13 W2 5 W7 0 2 75% 15 0 / 0 8 0 128 18.3 Baltimore ×7
74 Medrano 60 55.0% 8 7.5 13 W4 6 W1 0 1 63% 15 0 / 0 6 2 75 10.7 Baltimore ×8
75 Dan Kundinger 59 55.7% 7 8.4 12 W2 7 W1 0 0 78% 10 0 / 0 9 0 179 25.6 LA Rams ×7
76 Renee Kundinger 58 54.7% 7 8.3 11 W4 5 W7 0 0 85% 6 0 / 0 6 0 179 25.6 New England ×6
77 Garrett Blomberg 57 53.8% 7 8.1 11 W2 6 W7 0 0 79% 9 0 / 0 7 1 107 15.3 Green Bay ×7
78 Tana Scott 56 53.3% 7 8.0 9 W1 6 W9 0 0 44% 22 0 / 0 8 0 114 16.3 Baltimore ×7
79 Trevor Faith 55 59.8% 7 7.9 11 W2 7 W7 0 0 85% 8 0 / 0 8 1 65 10.8 Green Bay ×7
80 Lucas Jordan 54 58.7% 6 9.0 11 W4 8 W2 0 0 63% 16 0 / 0 5 0 145 24.2 Chicago ×6
81 Jade Lukes🔥 52 65.8% 6 8.7 12 W9 9 W3 0 0 78% 9 0 / 0 9 9 93 18.6 Seattle ×6
82 Marissa Tveter🔮 51 56.7% 6 8.5 10 W1 6 W6 0 0 77% 10 0 / 0 6 0 54 9.0 Seattle ×6
83 Matt Chuzles 49 64.5% 5 9.8 12 W4 8 W7 0 0 74% 12 0 / 0 6 0 53 10.6 LA Rams ×5
84 Robert Bushman 49 54.4% 6 8.2 10 W7 7 W6 0 0 61% 16 0 / 0 6 2 112 18.7 Chicago ×6
85 Cassandra Bogle🔮 48 63.2% 5 9.6 12 W1 8 W3 0 0 55% 19 0 / 0 8 2 116 23.2 New England ×5
86 Brent Henney🔮 47 58.8% 6 7.8 11 W4 7 W3 0 0 87% 5 0 / 0 7 3 62 12.4 Seattle ×6
87 Luke Schneider 44 56.4% 5 8.8 11 W1 7 W3 0 0 71% 9 0 / 0 4 4 78 15.6 Baltimore ×5
88 Lydia Holm 43 55.1% 5 8.6 10 W1 7 W3 0 0 78% 7 0 / 0 8 3 45 9.0 Seattle ×5
89 Guy Van Riper 40 64.5% 4 10.0 11 W1 9 W4 0 0 89% 3 0 / 0 6 1 71 17.8 Buffalo ×4
90 John A. Schey🔥 38 59.4% 4 9.5 12 W4 8 W1 0 0 80% 6 0 / 0 11 11 44 11.0 Seattle ×4
91 John Semenske 38 40.0% 7 5.4 9 W1 4 W4 0 0 58% 8 0 / 0 4 0 110 18.3 Green Bay ×7
92 Heather Komarek 38 63.3% 4 9.5 11 W1 8 W7 0 0 52% 16 0 / 0 8 0 111 27.8 San Francisco ×4
93 Nikki Shipley 36 58.1% 4 9.0 12 W2 5 W7 0 0 65% 11 0 / 0 8 0 44 11.0 San Francisco ×4
94 Jordan Wolfe🔮 32 50.0% 5 6.4 9 W8 7 W2 0 0 62% 8 0 / 0 6 0 27 6.8 Indy ×5
95 Peter Ulrich🔮 29 45.3% 4 7.3 9 W4 6 W2 0 0 50% 11 0 / 0 4 0 48 12.0 Green Bay ×4
96 John Carr 29 60.4% 4 7.3 12 W1 8 W2 0 0 60% 9 0 / 0 5 1 58 19.3 San Francisco ×4
97 Roberto Reyes Zambrano 27 56.3% 3 9.0 12 W1 6 W3 0 0 92% 1 0 / 0 8 0 24 8.0 Seattle ×3
98 Raemie R 27 56.3% 3 9.0 10 W2 8 W1 0 0 77% 3 0 / 0 6 0 38 12.7 Seattle ×3
99 Texas McDonald 27 54.0% 4 6.8 9 W3 8 W1 0 0 61% 8 0 / 0 7 3 46 15.3 San Francisco ×4
100 Gina Brouillard 27 56.3% 3 9.0 10 W1 8 W4 0 0 65% 6 0 / 0 6 0 93 31.0 Seattle ×3
Ranked by correct picks, then lowest total MNF difference. Trend = weekly accuracy (dashed line = 50%). Chalk % = how often a player picked the crowd favorite. Upset Hits = correct picks against the crowd. Solo Hits = correct picks nobody else made (hits / tries). Streaks count correct picks in a row across weeks. MNF Diff is the official total used for tiebreaks; Avg Diff leaves out guesses 100+ points off. Showing the top 100 of 117 players.
Week by Week Scoring average, range & high score
Average correctLow–high rangeTop score
9.6 avg · hi 13 / 16
9.8 avg · hi 14 / 16
8.2 avg · hi 13 / 16
9.8 avg · hi 14 / 16
8.7 avg · hi 12 / 15 · live
7.6 avg · hi 11 / 14
7.5 avg · hi 12 / 14
9.5 avg · hi 13 / 14
12.1 avg · hi 15 / 15
1.1 avg · hi 2 / 14 · live
Bars are scaled to the number of games that week. Weeks still in progress are marked "live".
Weekly Champions
How the Crowd Favorite Did
The crowd favorite is 87–49 this season (64%).
Crowd favorite wonUpset
Wk 1
11–5 69%
Wk 2
11–5 69%
Wk 3
7–9 44%
Wk 4
10–6 63%
Wk 5
9–5 64%
Wk 6
7–7 50%
Wk 7
7–7 50%
Wk 8
10–4 71%
Wk 9
14–0 100%
Wk 10
1–1 50%
Biggest Upsets of the Season
  • WK 2 Cleveland beat Tampa Bay95% of sheets had Tampa Bay 5%
  • WK 3 Atlanta beat Green Bay95% of sheets had Green Bay 5%
  • WK 5 Tampa Bay beat Dallas94% of sheets had Dallas 6%
  • WK 4 New England beat Buffalo93% of sheets had Buffalo 7%
  • WK 6 Arizona beat LA Rams92% of sheets had LA Rams 8%
  • WK 2 New Orleans beat Baltimore91% of sheets had Baltimore 9%
  • WK 3 Washington beat Seattle91% of sheets had Seattle 9%
  • WK 7 Atlanta beat San Francisco89% of sheets had San Francisco 11%
Percentage = share of sheets that picked the winner.
Most Lopsided Picks
  • WK 4 Minnesota over Miami Won89 sheets 98%
  • WK 6 San Francisco over Washington Won83 sheets 98%
  • WK 3 Kansas City over Miami Won97 sheets 97%
  • WK 2 Kansas City over Indy Won101 sheets 96%
  • WK 9 Kansas City over NY Jets Won70 sheets 96%
  • WK 2 Philadelphia over Tennessee Won101 sheets 95%
  • WK 2 Tampa Bay over Cleveland Lost101 sheets 95%
  • WK 3 Green Bay over Atlanta Lost97 sheets 95%
Biggest Coin Flips
  • WK 9 Cleveland vs New OrleansWinner: New Orleans 50–50
  • WK 3 New England vs JacksonvilleWinner: Jacksonville 51–49
  • WK 5 NY Giants vs WashingtonNot decided yet 51–49
  • WK 10 Carolina vs New OrleansNot decided yet 49–51
  • WK 5 Buffalo vs LA RamsWinner: Buffalo 52–48
  • WK 5 San Francisco vs SeattleWinner: San Francisco 47–53
  • WK 5 Baltimore vs AtlantaWinner: Baltimore 47–53
  • WK 4 Arizona vs NY GiantsWinner: NY Giants 54–46
Team Superlatives
Most Picked Team
Green Bay
684 picks
Total times picked all season.
Most Trusted
Buffalo
82% of picks in their games
Highest average pick share.
Most Faded
Miami
only 14% of picks
Lowest average pick share.
Money Team
Buffalo
490 correct picks earned
Delivered the most correct picks.
Biggest Letdown
LA Rams
270 picks burned
Cost the most picks by losing.
Best Bet
Minnesota
89% of picks on them hit
Highest hit rate when picked.
Giant Killer
Cleveland
4 wins as the crowd underdog
Won the most games the crowd picked against.
Paper Tiger
Seattle
4 losses as the crowd favorite
Lost the most games the crowd backed.
Every Team: Picks & Results click any column to sort
TeamRecordTimes PickedPicked Against Avg Pick ShareShareCrowd FavPicks EarnedPicks Burned Hit RateUpset WinsFav Losses
Green Bay 6–3 684 178 79%
9 / 10 383 234 62% 1 3
Seattle 5–4 663 199 77%
9 / 10 350 245 59% 1 4
LA Rams 5–4 642 220 75%
9 / 10 304 270 53% 0 3
Buffalo 7–1 641 142 82%
9 / 9 490 83 86% 0 1
Kansas City 6–2 636 143 82%
9 / 9 475 91 84% 0 2
San Francisco 7–1 604 187 79%
7 / 9 466 70 87% 2 1
Baltimore 4–5 564 298 63%
7 / 10 274 228 55% 1 3
Detroit 7–2 562 217 73%
7 / 9 468 94 83% 1 1
Jacksonville 6–2 538 245 70%
6 / 9 364 105 78% 2 1
Pittsburgh 6–2 510 282 65%
6 / 9 392 94 81% 1 1
Chicago 7–2 508 279 64%
7 / 9 380 128 75% 2 2
Cincinnati 6–2 494 285 65%
7 / 9 330 113 74% 2 2
Dallas 4–5 494 368 57%
7 / 10 231 256 47% 0 3
Philadelphia 2–7 451 336 53%
4 / 9 202 249 45% 0 2
Houston 3–5 417 374 54%
6 / 9 130 237 35% 1 3
Denver 7–2 402 385 52%
4 / 9 343 59 85% 3 0
New England 5–5 393 469 46%
5 / 10 272 121 69% 1 1
NY Giants 5–3 390 401 51%
5 / 9 211 137 61% 3 2
Minnesota 6–2 388 391 50%
4 / 9 339 41 89% 2 0
Carolina 3–5 334 445 42%
3 / 9 118 179 40% 2 2
Indy 2–7 320 542 38%
3 / 10 104 156 40% 1 1
New Orleans 3–5 290 501 38%
3 / 9 72 180 29% 2 2
Cleveland 5–4 278 584 34%
2 / 10 132 121 52% 4 1
LA Chargers 0–8 256 527 30%
2 / 9 0 243 0% 0 2
Tampa Bay 3–6 255 532 31%
1 / 9 56 199 22% 3 1
Las Vegas 4–5 252 610 29%
2 / 10 160 85 65% 2 0
Atlanta 3–6 228 634 27%
2 / 10 44 179 20% 3 2
NY Jets 2–7 203 659 24%
1 / 10 70 126 36% 2 1
Washington 3–5 189 594 26%
1 / 9 76 72 51% 2 0
Tennessee 1–7 178 614 21%
1 / 9 12 160 7% 1 1
Arizona 3–6 139 723 16%
1 / 10 39 93 30% 3 1
Miami 1–7 120 659 14%
0 / 9 20 85 19% 1 0
Avg Pick Share = on average, what % of sheets picked this team in their games. Crowd Fav = games where most sheets picked them. Picks Earned / Burned = picks on this team that won / lost. Hit Rate = earned ÷ (earned + burned). Record only counts graded games.
MNF Tiebreaker Center
Guesses graded
787
Average miss
15.1 pts
Median miss
13.0 pts
Guessed too high
44%
Exact hits
14
Ignored guesses (100+ pts off)
0
Closest guess ever
Nicky Schellinger🏆🔮 (off by 0, Wk 7)
MNF: Actual vs. Guesses guesses 100+ pts off are left out
WeekActualAvg GuessMedianRangeToo HighClosest
Wk 1 41 40.3 42.0 5–75 51% Marissa Tveter🔮 (±0)
Wk 2 34 41.7 42.0 15–75 81% J.PODMOLIK (±1)
Wk 3 34 40.3 40.0 13–72 77% Peter Ulrich🔮 (±0)
Wk 4 69 39.1 40.0 14–65 0% Kopitzke55🔥 (±4)
Wk 5 71 45.0 45.0 21–84 2% Cassandra Bogle🔮 (±0)
Wk 6 40 41.9 42.0 13–72 64% Sam Langstaff🔮 (±0)
Wk 7 59 40.2 41.0 10–65 3% Nicky Schellinger🏆🔮 (±0)
Wk 8 51 43.6 44.0 10–68 20% Jordan Wolfe🔮 (±0)
Wk 9 29 41.9 42.0 10–68 90% Nate Killinger (±1)
Wk 10 – 37.4 38.0 10–67 – –
Pick Twins players who pick alike
Polar Opposites players who never agree
Submission Habits & Participation
PlayerWeeks PlayedWeeks MissedAvg Submit Before KickoffPicks MadeTeams UsedAvg MNF GuessToo HighToo LowExact
Clifford Brandon Noel🏆🔥 10 0 60.6 days 150 31 44.0 5 4 0
Meg D 10 0 59.5 days 150 30 46.4 5 4 0
Emily DeLasky 10 0 47.6 days 150 32 32.6 1 8 0
J.PODMOLIK 10 0 46.7 days 150 30 33.6 3 6 0
Rhut2026 10 0 37.6 days 150 29 44.5 4 5 0
Peter Ulrich🔮 4 6 34.4 days 64 29 32.5 0 3 1
AMichek 1 9 28.2 days 16 16 24.0 0 1 0
SHIVA PRAKASH KUMAR 1 9 28.2 days 16 16 10.0 0 1 0
Maheswaran chandrasekaran 1 9 27.1 days 16 16 5.0 0 1 0
Texas McDonald 4 6 18.2 days 62 26 21.3 0 3 0
John Carr 4 6 18.2 days 60 24 18.5 0 3 0
Lucas Jordan 6 4 17.7 days 93 29 24.3 1 5 0
Krissy Sloma 1 9 16.2 days 16 16 32.0 0 1 0
Thomas Gonnering 2 8 15.3 days 32 21 56.5 2 0 0
Maria Esterholm 10 0 15.1 days 150 32 36.2 3 6 0
Gina Brouillard 3 7 10.7 days 48 24 44.3 2 1 0
Medrano 8 2 8.3 days 121 29 42.8 3 4 0
Nikki Shipley 4 6 8.3 days 62 27 35.0 3 1 0
Bob DeBruine 3 7 7.7 days 48 26 15.0 0 3 0
Tana Scott 7 3 6.7 days 106 32 34.7 1 6 0
Marissa Tveter🔮 6 4 6.5 days 91 30 40.5 3 2 1
Justin Heizler 3 7 5.8 days 48 24 46.0 3 0 0
Trina Retzlafft 1 9 5.4 days 16 16 17.0 0 1 0
Brook Johnson🔥 9 1 5.3 days 136 30 45.6 5 4 0
Karen Balczewski 9 1 5.3 days 135 30 20.7 1 7 0
Skyler Gieseke 10 0 5.1 days 150 31 36.0 3 6 0
Matt Stowe 9 1 5.1 days 135 31 35.9 4 4 0
Lee Haskins🔥 10 0 5.0 days 150 32 50.8 6 3 0
JJNel🏆 10 0 4.7 days 150 31 43.9 5 4 0
Robert Bushman 6 4 4.6 days 90 31 39.3 1 5 0
thomas mineau 10 0 4.6 days 150 32 45.6 5 4 0
Gary Lynch 10 0 4.3 days 150 31 27.1 1 8 0
Miles Fletcher 1 9 4.1 days 16 16 43.0 1 0 0
Monti Pignatari 10 0 4.1 days 150 32 48.2 6 3 0
Charles Schaefer 10 0 4.0 days 150 31 49.7 6 3 0
AngFree🔮 9 1 3.9 days 135 32 31.8 1 6 1
sean tervort 8 2 3.9 days 121 31 31.9 1 6 0
Cole Denzine🔮 9 1 3.8 days 135 31 46.9 4 3 1
Luke Schneider 5 5 3.7 days 79 29 34.6 1 4 0
Kurt Weber 10 0 3.6 days 150 32 39.1 3 6 0
Steve Woolridge 10 0 3.4 days 150 31 48.0 6 3 0
Nicky Schellinger🏆🔮 9 1 3.3 days 135 31 49.3 4 3 1
Erick Morales 10 0 3.3 days 150 30 35.5 4 5 0
Owen Johnson🔮 10 0 3.1 days 150 31 28.9 1 7 1
Raemie R 3 7 3.0 days 48 29 38.0 1 2 0
Reneta Thums 9 1 2.8 days 136 31 41.8 5 3 0
Frank Schoenborn 10 0 2.8 days 150 29 43.4 5 4 0
Trina Retzlaff🏆 10 0 2.6 days 150 31 27.4 0 9 0
Jayaprakash (JP) K 3 7 2.5 days 48 27 50.3 2 1 0
Brody Hegeman 4 6 2.4 days 63 28 35.8 1 3 0
Teddi Ulrich💯 10 0 2.3 days 150 30 45.6 5 4 0
Guy Van Riper 4 6 2.2 days 63 29 46.5 2 2 0
Cassandra Bogle🔮 5 5 2.2 days 77 29 67.2 4 0 1
Jenni Brunner 10 0 2.1 days 150 30 44.7 5 4 0
Pete Nowak 10 0 46.3 hrs 150 32 53.0 5 4 0
Johnny Hertlein 10 0 45.3 hrs 150 31 38.8 3 6 0
Chris Lyons 10 0 44.6 hrs 150 32 53.2 5 4 0
Robyn Fromolz 8 2 42.8 hrs 120 30 43.4 3 4 0
Charlie Fromolz 8 2 42.7 hrs 120 32 43.6 4 3 0
John Semenske 7 3 42.1 hrs 108 30 41.6 3 3 0
Trevor Faith 7 3 40.4 hrs 105 28 37.1 2 4 0
Ken Hegeman🏆🔮 10 0 39.9 hrs 150 30 40.3 4 4 1
Brent Henney🔮 6 4 38.9 hrs 92 28 53.5 3 1 1
Matt Chuzles 5 5 36.5 hrs 76 29 45.8 2 3 0
Sean Guzinski 10 0 36.5 hrs 150 31 37.2 3 6 0
Glenn Harbison 10 0 35.6 hrs 150 32 40.4 5 4 0
Cathy Schmidt 9 1 35.6 hrs 135 30 40.1 3 5 0
Jim Farmer 10 0 35.4 hrs 150 30 48.7 5 4 0
Renee Kundinger 7 3 34.2 hrs 107 30 39.0 3 4 0
Dan Kundinger 7 3 33.8 hrs 107 31 39.6 3 4 0
Paul Heidenreich 10 0 32.6 hrs 150 31 43.2 5 4 0
Jerry Bourgard🏆 10 0 32.2 hrs 150 31 43.4 4 5 0
Cindy Bishop 10 0 31.2 hrs 150 32 47.6 5 4 0
Mark Chrouser 1 9 29.2 hrs 16 16 43.0 1 0 0
Jordan Wolfe🔮 5 5 29.1 hrs 76 30 42.0 2 1 1
Lance J. 10 0 26.9 hrs 150 31 52.3 6 3 0
Kopitzke55🔥 8 2 26.7 hrs 120 31 65.9 5 2 0
Amy J 8 2 25.7 hrs 122 31 30.6 2 6 0
Heather Komarek 4 6 23.2 hrs 61 26 35.0 1 3 0
Lydia Holm 5 5 22.6 hrs 78 29 34.6 0 5 0
Aswin uvaraj 10 0 21.9 hrs 150 32 45.9 5 4 0
Lee Prellwitz 10 0 21.6 hrs 150 29 31.0 3 6 0
Kyle Stibbe🏆💯 10 0 21.6 hrs 150 31 39.8 4 5 0
butch.staroba 10 0 21.6 hrs 150 30 46.7 5 4 0
Lon Balczewski🔮 10 0 20.8 hrs 150 30 29.5 1 7 1
Amy Steinbach 9 1 20.7 hrs 134 32 41.8 5 3 0
Raymond Steinbach 9 1 20.7 hrs 134 31 36.0 3 5 0
Cody Olson 2 8 20.3 hrs 32 23 50.0 2 0 0
Warren Wenzel 10 0 19.8 hrs 150 30 46.1 5 4 0
Jordan Valiga 9 1 19.8 hrs 136 32 48.7 5 3 0
Jason Hertlein👑 10 0 19.4 hrs 150 31 37.5 4 5 0
Chad Martin 9 1 17.8 hrs 136 30 52.8 6 3 0
Matt Doeppers 9 1 14.9 hrs 134 30 40.1 4 4 0
Joe Leckie 8 2 13.2 hrs 122 31 45.0 3 4 0
Nate Killinger 7 3 13.0 hrs 106 31 32.3 2 4 0
Aaron Haskins 2 8 12.2 hrs 32 22 32.0 1 1 0
Saroj Bhetawal 10 0 11.3 hrs 150 30 39.4 4 5 0
Garrett Blomberg 7 3 9.5 hrs 107 31 35.0 2 5 0
Jeff Shilts 10 0 9.4 hrs 150 30 50.1 6 3 0
Russ Burcaw🔮 10 0 8.3 hrs 150 30 36.5 3 5 1
Submit time is based on each sheet's last save before the weekly lockout. Members who never submitted a sheet are not listed.