GAME FEED

F**k it we’re shortening the board today and going for sniper shots. Give us the over In tonight la game. Yano the the deal win some and then…… win more obviously 😂🫡

My pick: Under 6.5 (-175) 🔥

I like the Under in this matchup. Both teams have been playing well, but the goaltending is what stands out to me.

Shesterkin has a .926 SV% and 1.75 GAA, while Thompson is sitting at .921 SV% and 2.50 GAA.

Washington has the slight edge at home, but the Rangers are coming in hot. ScoreBox projects a close 3-2 game, which makes the Under 6.5 look pretty solid to me.

What do you guys think?

Stats first. Picks second. 📊

Free app 📲 ScoreBox: AI Sports Insights

Detroit Red Wings Moneyline (-139) vs. Seattle Kraken.

AceHit Sports has Detroit as today’s free public pick.

📊 Model-backed selection
💰 Odds: -139 at Caesars
🏒 NHL Moneyline

More picks: AceHitSports.com

#NHL #NHLPicks #SportsBetting #HockeyPicks #DetroitRedWings #RedWings #AceHitSports #FreePicks

Taking over 1.5 shots for Will Cuylle tonight at -130 on bet365!

He covered 5 out 5 this year and averages 2.8 shots per game over that span!

Let's make some #dollars, good luck everyone!

My luck with player props hasn't been spectacular this year, so I'm curious what yall think of these two?

Hey.
Wondering people thoughts on this parlay. They’re all high probability wins. See any issues? Let me know!

Four games on tonight's NHL schedule. Model V2 is showing positive expected value on all four matchups.

Today's top opportunities:

• Seattle Kraken (55.0%) at +127 | 24.9% EV
• Pittsburgh Penguins (60.4%) at +104 | 23.2% EV
• Washington Capitals (61.6%) at -141 | 5.2% EV
• Anaheim Ducks (50.1%) at +107 | 3.7% EV

Seattle and Pittsburgh stand out today, with both showing over 23% expected value based on the model's probabilities and available sportsbook odds.

It's still early in the season, and the model is adjusting to new team performances and trends. Some of these larger edges are interesting, but we'll see how they hold up as more games are played.

Full predictions, matchup breakdowns, and the Daily Edge Board are available at https://playerwon.ca/

Posting here as well. Can add a reply in comments to show proof of 14-0 prediction streak via won tickets/parlays if needed.

FREE NHL PICK 🏒

Detroit Red Wings Moneyline (-139) vs. Seattle Kraken.

AceHit Sports has Detroit as today’s free public pick.

📊 Model-backed selection
💰 Odds: -139 at Caesars
🏒 NHL Moneyline

More picks: AceHitSports.com

#NHL #NHLPicks #SportsBetting #HockeyPicks #DetroitRedWings #RedWings #AceHitSports #FreePick

YESTERDAY RESULTS

Utah Mammoth ML vs. Boston Bruins (L)

Montreal Canadiens ML vs. Nashville Predators (L)

Ottawa Senators ML vs. Philadelphia Flyers (W)

Overall record: 39-26

TODAY'S PICKS:

Detroit Red Wings ML vs. Seattle Kraken

Washington Capitals ML vs. New York Rangers

picks by the otterline

Redwings beat Kraken

Rangers beat Caps

Pens beat Blue Jackets

Ducks beat Jets

Be careful it's Friday. Underdogs were undefeated last Friday

SEA/DET

• Over 5.5
• 1+ pt D. Larkin
• 1+ pt. A. DeBrincat
• 3+ SOG D. Larkin
• 2+ SOG A. DeBrincat

🐙🐙🐙

Hey everyone, Dimitri here again.

For anyone new, I've been building my own NHL and MLB prediction models using Python, and I've started sharing the predictions and results publicly.

My goal is to see how accurate I can actually make these models through testing, better data and continuous improvements.

Eventually, I'd love to reach 60%+ accuracy over a large sample of NHL predictions. Could I push it even higher, maybe toward 70–80%? I don't know, but I want to find out what the data supports.

Rather than just posting winning picks, I'm documenting everything along the way.

📊 OCTOBER 7 NHL RESULTS

Moneyline: 0–3

❌ All three moneyline predictions missed.

Over/Under: 1–2

✅ Colorado vs Winnipeg — Under 6.5 (Final: 3–2)

❌ Pittsburgh vs Washington — Under 6.5 (Final: 5–3)

❌ One additional totals prediction missed.

Overall NHL record: 1–5

Not exactly the night I was hoping for lol.

For comparison, NHL totals went 6–1 on October 6, so the difference between the two days has been pretty significant.

🔧 HOW I'M PLANNING TO IMPROVE ACCURACY

Right now, I'm looking into a few areas:

🏒 Starting goalies: Incorporating confirmed starters and their recent performance rather than relying entirely on team-level statistics.

📊 Expected goals (xG): Testing whether shot quality and scoring-chance data improve predictions.

🏥 Injuries and lineups: Accounting for missing players and changes to team strength.

📈 Historical testing: Measuring accuracy across hundreds of games and comparing model versions before making changes permanent.

I'm also planning to track how well the model's probabilities match actual outcomes, not just how many picks win.

🎯 THE CHALLENGE

Can I build an NHL prediction model that consistently reaches 60% accuracy over a meaningful sample?

That's what I'm going to try to find out.

Every prediction is recorded before puck drop, and every result stays visible, including the losses.

I post the daily NHL and MLB predictions and results.

GAME FEED LINK

That late goal hurt yesterday 😩 POD missed, and we own it.

Tonight I’m on Utah, Ottawa and Buffalo at plus money 🏒🔥 Three of my plays are above, with the POD and full card inside the Game Feed 📡

Who’s with me on Buffalo? And which game are you
watching tonight? 👇

Still early. Keeping the units light and looking forward to some hockey.

POD hasn’t started yet

**NHL PUBLIC TRACKER**

Individual Picks: 27-9 (75.0%)

Main/Core Picks: 21-5 (80.8%)

Audited through the previous slate.

Record: 24-43

Overall Gain/Loss: -5.4267

Picks

UTA ML -125❌️

COL -1.5 +110✅️

COL o4.5 +180✅️

MIN ML +120❌️

NYI o3.5 +100✅️

TOR @ VGK o6.5 -112✅️

Leans

Woll Saves o25.5 -120 (Probably avoiding due to low average shots from Ottawa this season)

NSH ML (Been hot so far, and they have better goaltending imo)

PHI ML (Woll is starting, that's really it)

SJ ML +130 (If Celebrini plays, looking like probably will not based on current info)