Minnesota Wild
Central Division, Western Conference
Current Standings
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 2 | 2 | 0 | 0 | 4 | 7 | 2 | +5 | 100.0% |
|
Playoff Probabilities
Based on 100,000 simulations run on Oct 04, 2026
Likely First-Round Opponents
| Opponent | Probability | Likelihood |
|---|---|---|
Dallas Stars
|
13.7% | |
Chicago Blackhawks
|
13.7% | |
Colorado Avalanche
|
7.7% | |
Calgary Flames
|
6.0% | |
Utah Mammoth
|
5.2% | |
Vegas Golden Knights
|
3.7% | |
St. Louis Blues
|
2.5% | |
Seattle Kraken
|
2.4% | |
Los Angeles Kings
|
1.3% | |
Edmonton Oilers
|
0.8% |
Probabilities sum to 58.1% (= playoff probability). Remaining 41.9% = miss playoffs.
Analysis
Summary
The Minnesota Wild are firmly in playoff territory with a 100.0% playoff probability and a projected finish north of 107 points, making their postseason spot essentially locked. The focus has shifted from qualifying to seeding, with an outside but real chance to challenge for the Central Division and a strong profile as a deep playoff run contender.
Record and Recent Performance
Minnesota sits at 34-14-10 through 58 games for 78 points and a strong 67.2% points percentage, backed by a healthy +27 goal differential with 196 goals for and 169 against. Their overall team strength rating of 65.9% is nearly elite, holding steady both at home (66.9%) and on the road (65.9%), and an excellent 85.0% recent form indicates they are playing some of their best hockey at the right time. This combination of consistency and current momentum explains why their playoff odds are maxed out and their projected total continues to climb.
The Competition
The Wild are currently second in the conference race behind Colorado, who lead with 83 points in 55 games and project to finish around 115.9 points, making catching the Avalanche for first place difficult but not impossible. Dallas is right on Minnesota’s heels with 77 points in 57 games and a nearly identical projected finish at 107.6 points, setting up a tight battle for second place and potential home-ice advantage. Below them, Vegas, Utah, Anaheim, and Seattle form a crowded middle tier projected in the mid-90s, but Minnesota’s cushion over the cutline is substantial enough that only a major collapse would drop them into wild-card danger.
Remaining Schedule
The Wild have 24 games left, split fairly evenly with 11 at home and 13 on the road, and their remaining opponents average a 53.1% strength rating, almost exactly league average. With an expected 29.3 points still to be gained, Minnesota is projected to comfortably clear the playoff cutoff of 90.6 points and finish around 107.3 points. The balanced and average-difficulty schedule suggests no major traps or gauntlets, meaning continued solid play should be enough to maintain or slightly improve their current standing.
Outlook
Minnesota’s playoff path is secure, and the real question is whether they can fend off Dallas and potentially apply pressure to Colorado for the division lead. If their recent form holds and goaltending and health remain stable, the Wild should enter the postseason as a dangerous, well-rounded team with legitimate conference and Stanley Cup upside rather than just a safe playoff qualifier.
Bandwagon Case
Why you should jump on the bandwagon:
If you’re looking for a team that blends star power with structure, Minnesota makes a pretty easy case. Kirill Kaprizov remains the headliner — a game-breaker who can turn a quiet night into a highlight reel in one shift — and Matt Boldy has grown into the kind of confident, multi-zone winger who thrives in tight playoff games. Joel Eriksson Ek gives them bite and net-front scoring down the middle, while Jared Spurgeon and Jonas Brodin anchor a blue line that doesn’t get rattled easily. In goal, Filip Gustavsson has shown he can carry stretches when things tighten up.
There’s also something compelling about where this group is in its arc. They’ve been competitive for a few years, navigating heavy cap penalties from the Zach Parise and Ryan Suter buyouts, yet they’ve kept building rather than backing off. The core is in its prime, the depth is more settled, and they’re right in the mix behind Dallas in a loaded Western Conference. It feels less like a feel-good run and more like a team that’s been stress-tested and is ready for a longer spring.
On the ice, the Wild are structured without being boring. They defend in layers, don’t give up much for free, and can roll multiple lines that forecheck with purpose. When Kaprizov and Boldy get space, they have the skill to capitalize, but Minnesota is just as comfortable grinding out a 3-2 game as it is trading chances. If you like playoff hockey that’s tight, physical, and decided by details, this is a team that fits the mood.
Required Win Percentage for Playoffs
Win percentage needed in remaining games to achieve each playoff probability threshold. A checkmark (✓) means the team has mathematically clinched a playoff spot. A dash (—) means the threshold is impossible to reach.
Playoff Probability Breakdown
Understanding the factors that drive the 58.1% playoff probability
📊 Schedule Context
🎯 Key Factors
🏒 Playoff Picture
Playoff probabilities are calculated through Monte Carlo simulation, running 10,000+ scenarios of the remaining season. Each game is simulated based on team strength ratings, home ice advantage (~55% win rate), and opponent matchups.
Points Distribution vs. Cutline
Projected to finish with 91–102 points (middle 50%). The playoff cutline is typically 94–98 points. Finishes above the cutline in 60.8% of simulations.
Team Projection
Playoff Cutline
Playoff Race — Western Conference
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 4 | 2 | 80 | 86.2% | 50.0% | 51.2% | 96.8 | 58.1% | |
| 5 | 4 | 3 | 79 | 58.1% | 50.0% | 52.6% | 77.8 | 2.0% | |
| 6 | 4 | 2 | 80 | 75.2% | 70.0% | 51.9% | 85.9 | 13.1% | |
| 7 | 3 | 2 | 80 | 53.5% | 30.0% | 53.0% | 81.4 | 4.8% | |
| 8 | 2 | 2 | 80 | 57.0% | 50.0% | 52.8% | 103.9 | 86.4% | |
| 9 | 2 | 1 | 81 | 71.0% | 45.0% | 51.8% | 84.7 | 10.9% | |
| 10 | 2 | 2 | 80 | 62.7% | 50.0% | 52.6% | 100.8 | 77.0% | |
| 11 | 2 | 2 | 80 | 47.5% | 60.0% | 53.1% | 92.2 | 35.4% | |
| 12 | 2 | 2 | 80 | 39.0% | 30.0% | 53.5% | 84.3 | 9.3% | |
Today's Impact
| Game | Impact | |
|---|---|---|
| NYR vs UTA |
NYR win:
+0.6%
UTA win:
-0.5%
|
Yesterday's Impact
| Result | Impact | |
|---|---|---|
| MIN 4 - BOS 1 | MIN played |
+3.2%
|
| CBJ 1 - UTA 4 |
-0.7%
|
|
| Net: | +2.5% | |
Team Strength Metrics
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 86.2% | 57.2% | 50.7% | 92.5% | 50.0% |
Player Statistics
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 97 | Kirill Kaprizov | L | 80 | 48 | 44 | 92 | +12 | 0 | 53 | 27 | 22:05 | |
| 12 | Matt Boldy | L | 78 | 42 | 43 | 85 | +19 | 0 | 62 | 59 | 20:32 | |
| 43 | Quinn Hughes | D | 50 | 6 | 50 | 56 | +8 | 0 | 6 | 56 | 27:47 | |
| 14 | Joel Eriksson Ek | C | 72 | 19 | 32 | 51 | +18 | 0 | 108 | 34 | 19:04 | |
| 38 | Ryan Hartman | R | 78 | 23 | 21 | 44 | -3 | 0 | 65 | 97 | 16:37 | |
| 22 | Danila Yurov | R | 75 | 12 | 16 | 28 | -7 | 0 | 65 | 45 | 13:16 | |
| 46 | Jared Spurgeon | D | 81 | 7 | 17 | 24 | +4 | 0 | 84 | 141 | 19:34 | |
| 13 | Yakov Trenin | C | 84 | 6 | 17 | 23 | +10 | 0 | 417 | 39 | 13:17 | |
| 25 | Jonas Brodin | D | 64 | 4 | 14 | 18 | +19 | 0 | 10 | 135 | 20:18 | |
| 17 | Marcus Foligno | L | 58 | 8 | 5 | 13 | -11 | 0 | 183 | 47 | 12:49 | |
| 47 | Michael McCarron | C | 22 | 3 | 4 | 7 | +2 | 0 | 48 | 17 | 12:54 | |
| 10 | Bobby Brink | R | 15 | 2 | 4 | 6 | -2 | 0 | 15 | 10 | 13:26 | |
| 24 | Zach Bogosian | D | 43 | 2 | 4 | 6 | +7 | 0 | 48 | 37 | 14:34 | |
| 48 | Daemon Hunt | D | 34 | 0 | 6 | 6 | -3 | 0 | 22 | 44 | 12:24 | |
| 71 | Nick Foligno | L | 19 | 2 | 3 | 5 | +2 | 0 | 42 | 7 | 12:24 | |
| 20 | Blake Coleman ← CGY | L | 2 | 1 | 0 | 1 | 0 | 0 | 2 | 1 | 13:39 | |
| 3 | Olli Maatta ← CGY | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 22:23 | |
| 49 | Maxim Shabanov ← NYI | R | 2 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 15:02 | |
| 90 | Marcus Johansson | L | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 91 | Vladimir Tarasenko | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 6 | Viking Gustafsson Nyberg | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 19 | Tyler Pitlick | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 21 | Robby Fabbri | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 78 | Nico Sturm | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 16 | Nicolas Aube-Kubel | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 26 | Matt Kiersted | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 7 | Brock Faber | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 82 | David Spacek | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 37 | Hunter Haight | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 2 | Jeff Petry | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 36 | Mats Zuccarello | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 55 | Jake Middleton | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 18 | Ben Jones | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 5 | David Jiricek | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 18 | Vinnie Hinostroza | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Recent Games (Last 10)
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Oct 03 | Boston Bruins | Home | 4 - 1 | W | 59.3% | +3.2% |
| Oct 01 | Nashville Predators | Away | 1 - 3 | W | 39.0% | +3.5% |
| Sep 25 | Dallas Stars | Home | 1 - 2 | L | 12.4% | - |
| Sep 23 | Dallas Stars | Away | 2 - 0 | L | 12.4% | - |
| Sep 21 | Chicago Blackhawks | Away | 4 - 3 (OT) | OTL | 12.0% | - |
| Sep 19 | Chicago Blackhawks | Home | 3 - 2 (OT) | W | 12.0% | - |
| May 13 | Colorado Avalanche | Away | 4 - 3 (OT) | OTL | 82.3% | - |
| May 11 | Colorado Avalanche | Home | 2 - 5 | L | 82.3% | - |
| May 09 | Colorado Avalanche | Home | 5 - 1 | W | 82.3% | - |
| May 05 | Colorado Avalanche | Away | 5 - 2 | L | 82.3% | - |
Upcoming Games
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| May 02, 12:00 | @ Dallas Stars | Away | 12.4% | 0.93 | - | DAL (61%) |
| May 15, 20:00 | vs Colorado Avalanche | Home | 82.3% | 1.14 | - | MIN (51%) |
| May 17, 12:00 | @ Colorado Avalanche | Away | 82.3% | 1.05 | - | COL (54%) |
| Oct 06, 19:00 | @ Buffalo Sabres | Away | 43.8% | 1.08 | 7.7% | BUF (53%) |
| Oct 08, 19:00 | @ Tampa Bay Lightning | Away | 41.4% | 1.11 | 7.9% | TBL (51%) |
| Oct 10, 18:00 | @ Florida Panthers | Away | 62.5% | 1.12 | - | FLA (50%) |
| Oct 12, 20:00 | vs Vegas Golden Knights | Home | 57.0% | 1.05 | - | VGK (55%) |
| Oct 13, 20:15 | @ Winnipeg Jets | Away | 53.5% | 1.24 | - | MIN (57%) |
| Oct 15, 20:00 | vs St. Louis Blues | Home | 47.5% | 1.24 | - | MIN (56%) |
| Oct 18, 18:00 | vs Columbus Blue Jackets | Home | 50.0% | 1.16 | - | MIN (52%) |
| Averages (Next 10 games): | 11.1 pts | 3.8% | ||||
Expected points are calculated based on win probabilities: (2 × win%) + (0.25 × loss%) for overtime losses. Opponent strength ratings help identify which games are easier or harder opportunities to earn points.