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Model picks & player props
Pittsburgh Penguins
VS
New York Rangers

Pittsburgh Penguins vs New York Rangers Picks & Predictions

Model updated Aug 10, 5:46PM UTC

Every play below is priced against our model. The bigger the green edge, the more the line is in your favour.

NHL
Madison Square Garden, New York
Indoor
Sat 28 Feb 2026, 5:30PM
10
Game markets graded
0
Props graded
Answer
The model’s one call for this game: New York Rangers 1.5 (Spread)
The model graded 10 markets for Pittsburgh Penguins vs New York Rangers (NHL) and this is the one it backs hardest — HIGH confidence. A $100 bet returns about $138 if it lands. This one is free — every other market and all player props are Pro. For the numbers: model win probability 75.7%, fair odds 1.32, book price -263, model edge +3.2%. Tip-off Sat 28 Feb 2026, 5:30PM at Madison Square Garden.

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Game picks

+EV edge in green
Spread
New York Rangers
+1.5
-263
+ 9 more markets
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Calibrated model vs market

Model prob · fair odds · edge
PickMarketModel lean
New York RangersPuck LinePositive-edge lean 🔒 Unlock with Pro
Pittsburgh PenguinsPuck LinePositive-edge lean 🔒 Unlock with Pro
UnderTotal GoalsPositive-edge lean 🔒 Unlock with Pro
Pittsburgh PenguinsPuck LinesPositive-edge lean 🔒 Unlock with Pro

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Who's out

Injuries & availability

Pittsburgh Penguins

No players are currently listed out or questionable for this team.

New York Rangers

No players are currently listed out or questionable for this team.

Weather & availability impact for this fixture

Conditions · who's out · how it moves the number
For Pittsburgh Penguins vs New York Rangers: Weather isn't a tracked factor for this fixture, and no players are currently listed out or questionable.
FactorThis fixture
AvailabilityNone currently listed out or questionable

Pro — weather & injury-adjusted view

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Betting angles

Markets & form
MoneylineModel leans New York RangersNo line posted

Pittsburgh Penguins @ New York Rangers moneyline: model lean and both sides' win form.

Puck LineNew York Rangers +1.5No line posted

Pittsburgh Penguins @ New York Rangers puck-line (spread) model lean and cover form.

Total GoalsGame totalNo line posted

Pittsburgh Penguins @ New York Rangers total-goals model lean and scoring trends (the free board has not settled enough of these yet).

Pittsburgh Penguins @ New York Rangers — what the model found

Our model graded 10 betting markets for Pittsburgh Penguins at New York Rangers — 10 on the game itself and 0 on individual players. One pick is free on this page.

10
Game markets graded

The model checked every betting market for this game and graded 10 of them. One pick is free on this page — the one the model likes most. Scroll down to see it.

🔒 The other 9 graded calls for this game — with how much to bet on each — are for members.
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Pittsburgh Penguins @ New York Rangers — model preview

Unlock potential winning bets for New York Rangers playing Pittsburgh Penguins. Includes analysis on key players like Igor Shesterkin. Analysis includes NHL predictions, NHL game picks, hockey betting preview, New York Rangers vs Pittsburgh Penguins stats and odds.

Igor Shesterkin (New York Rangers) Over 23.5 Saves (-143)

Odds available at draftkings at time of publishing

🔒 The other 1 write-up for this game — with how much to bet on each — are Pro.
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Track record for this matchup

Logged & graded
0
Total Picks
—
Hit Rate

Hit rate is how often the pick landed — not profit; favourites can win often and still lose money.

DateMarketPickResult

About this matchup

How we read the game

This page tracks the Bet Better model's pick history and predictions for Pittsburgh Penguins vs New York Rangers in the NHL. You may also see this matchup written as Penguins vs Rangers, or as Rangers vs Penguins. The most recent game between them was Saturday 28 February 2026 at Madison Square Garden. The model has generated 10 game picks for this matchup. Review the picks and historical data above to guide your NHL betting strategy for this matchup.

Today's selected board

See the plays that cleared the model's filter today

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