TOR

2025-26 Season

JAKOB POELTL

Toronto Raptors | Center | 7-0
Jakob Poeltl
10.2PPG
6.9RPG
1.9APG
24.2MPG
+4.1 Impact

Poeltl produces at an above average rate for a 24-minute workload.

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IMPACT BREAKDOWN
Every stat, every credit, every cost — per game average
+4.1
Scoring +9.8
Points Scored 10.2 PPG = +10.2
Missed Shots difficulty-adjusted = -2.0
Shot Making above expected FG% = +1.6
Creation +0.6
Assists & Self-Creation 1.9 AST/g + self-creation = +0.6
Turnovers -2.9
Turnovers 1.2/g (live + dead blend) = -2.9
Defense -0.9
Steals 0.9/g = +2.1
Blocks 0.7/g = +0.6
Fouls + context committed fouls, matchup adj = -3.6
Hustle & Effort +6.8
Rebounds 6.9 RPG (OREB + DREB) = +3.4
Contested Shots 5.0/g = +1.0
Deflections 2.0/g = +1.3
Charges Drawn 0.0/g = +0.1
Loose Balls 0.4/g = +0.2
Screen Assists 2.5/g = +0.8
Raw Impact +13.4
Baseline (game-average expected) −9.3
Net Impact
+4.1
62th pctl vs Centers

PBP Credit: Every play is analyzed from play-by-play data. Scorers get difficulty-adjusted credit, assisters get creation value based on the shot opportunity they created, and turnovers are classified by type. Shot difficulty is derived from 1M+ shots across 4 seasons. Full methodology

SKILL DNA

Percentile rank vs 93 Centers with 10+ games

Scoring 55th
10.2 PPG
Efficiency 91th
68.0% TS
Playmaking 68th
1.9 APG
Rebounding 61th
6.9 RPG
Defense 25th
+4.7/g
Hustle 81th
+22.9/g
Creation 56th
+2.46/g
Shot Making 41th
+3.89/g
TO Discipline 52th
0.05/min

THE SEASON SO FAR

Jakob Poeltl’s first 16 games were defined by a stark metamorphosis from a sluggish liability into an highly efficient interior finisher. He looked completely lost during the 10/27 vs SAS matchup. Dragging the team down with a dismal -19.4 Impact score, he bricked five of his six shots for just 2 points and offered zero resistance defensively. But the switch flipped in mid-November. During the 11/16 vs IND contest, Poeltl erupted for 22 points on near-perfect 8-for-9 shooting, generating a massive +23.4 Impact by simply overpowering his matchups in the paint for high-percentage looks. Even when his scoring volume eventually cooled off, he found ways to dictate the game through sheer force on the glass. Look at his 11/25 vs CLE performance: he managed only 7 points on four shot attempts, yet still posted a +9.3 Impact because he swallowed up 13 rebounds and anchored the interior defense.

Jakob Poeltl's mid-season stretch was defined by a stark metamorphosis from an invisible frontcourt body into a bruising, highly efficient two-way force. The nadir arrived on 02/19 vs CHI, where he sleepwalked through 16 minutes off the bench to post a dismal -12.8 Impact score, grabbing zero rebounds and offering zero resistance inside. He immediately flipped the script by embracing elite dirty work, perfectly illustrated on 02/22 vs MIL. Despite taking only four shots and scoring just 6 points, Poeltl generated a massive +13.1 Impact in that game by swallowing up eight rebounds, keeping the ball moving, and anchoring the paint with relentless hustle. By March, his confidence surged as he began dominating the interior with pristine shot selection. He capped off this run on 03/15 vs DET with a monstrous 21-point, 18-rebound, 5-assist masterpiece. His staggering +30.6 Impact that night was the direct result of punishing the rim on 9-for-12 shooting and maintaining absolute control of the glass.

Jakob Poeltl’s late-season stretch was a Jekyll-and-Hyde act of interior dominance followed by baffling passivity. When fully engaged, he was a battering ram in the paint. Just look at 03/20 vs DEN, where he bullied his way to 23 points and 11 rebounds on 10-of-14 shooting. That generated a massive +22.8 Impact score, driven by relentless rim finishing and sheer rebounding effort. Even when his scoring dipped, like his 8-point outing on 04/03 vs MEM, he still posted a +3.5 Impact by keeping the offense flowing with 4 assists and fighting for 7 boards. However, empty calories plagued his performance just two days later on 04/05 vs BOS. Despite scoring a highly efficient 14 points on 7-of-9 shooting, he registered a -2.7 Impact because he grabbed a pathetic two rebounds, completely failing to secure the defensive glass or anchor the middle. When he plays with force, he is a highly effective traditional big, but when he floats, his on-court value evaporates.

IMPACT TIMELINE

Game-by-game performance vs average. Green = above average, red = below.

PATTERNS

Volatile for his role. Poeltl has noticeable ups and downs, with scoring moving ~6 points between games.

Reliable shooter — hits 45%+ from the field in 93% of games. You can count on efficient nights more often than not.

Good defender on his best nights, but it comes and goes. Some games Poeltl locks in defensively, others he gets picked apart.

Tends to go on runs. Longest hot streak: 7 games. Longest cold streak: 5 games.

MATCHUP HISTORY ⚠ Updated 46 days ago

Based on 41 games with tracking data. Shows who guarded this player on offense and who he guarded on defense, with their shooting stats in those matchups.

ON OFFENSE: WHO GUARDED HIM

His shooting stats against each primary defender this season

R. Kalkbrenner 102.3 poss
FG% 68.8%
3P% 0.0%
PPP 0.22
PTS 23
J. Duren 83.5 poss
FG% 66.7%
3P% 0.0%
PPP 0.2
PTS 17
K. Porziņģis 65.1 poss
FG% 87.5%
3P% 0.0%
PPP 0.22
PTS 14
M. Turner 62.7 poss
FG% 75.0%
3P% 0.0%
PPP 0.1
PTS 6
K. Towns 56.9 poss
FG% 57.1%
3P% 0.0%
PPP 0.14
PTS 8
I. Jackson 49.1 poss
FG% 57.1%
3P% 0.0%
PPP 0.16
PTS 8
A. Drummond 45.1 poss
FG% 75.0%
3P% 0.0%
PPP 0.27
PTS 12
R. Gobert 38.3 poss
FG% 100.0%
3P% 0.0%
PPP 0.18
PTS 7
V. Wembanyama 37.1 poss
FG% 33.3%
3P% 0.0%
PPP 0.22
PTS 8
N. Queta 36.1 poss
FG% 57.1%
3P% 0.0%
PPP 0.22
PTS 8

ON DEFENSE: WHO HE GUARDED

How opponents shot when he was the primary defender. Lower FG% = better defense.

R. Kalkbrenner 106.9 poss
FG% 57.1%
3P% 0.0%
PPP 0.11
PTS 12
J. Duren 72.2 poss
FG% 75.0%
3P% 0.0%
PPP 0.3
PTS 22
K. Porziņģis 60.9 poss
FG% 31.2%
3P% 50.0%
PPP 0.25
PTS 15
M. Turner 56.2 poss
FG% 45.5%
3P% 20.0%
PPP 0.23
PTS 13
A. Drummond 46.2 poss
FG% 25.0%
3P% 0.0%
PPP 0.04
PTS 2
I. Jackson 44.9 poss
FG% 100.0%
3P% 0.0%
PPP 0.13
PTS 6
K. Towns 42.4 poss
FG% 58.3%
3P% 33.3%
PPP 0.4
PTS 17
B. Adebayo 37.3 poss
FG% 50.0%
3P% 0.0%
PPP 0.16
PTS 6
N. Claxton 37.0 poss
FG% 55.6%
3P% 0.0%
PPP 0.3
PTS 11
V. Wembanyama 34.5 poss
FG% 50.0%
3P% 0.0%
PPP 0.12
PTS 4

SEASON STATS

53
Games
10.2
PPG
6.9
RPG
1.9
APG
0.9
SPG
0.7
BPG
69.5
FG%
0.0
3P%
60.7
FT%
24.2
MPG

GAME LOG

53 games played