64.6 score · 94% MPG role factor
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Player profile · SAS / TOR
Jakob Poeltl
Jakob Poeltl advanced stats and career rankings
RoleC · Age 30
Availability46 games · 44 starts
Workload25.0 MPG · 1,149 minutes
Relative impactTOR #4 of 11 · C #28 of 72
UpdatedJul 21, 2026
25.1 total value · 395 qualified players
65.6 all-time composite · 10 seasons
Low ranking precision · Likely rank #34–#311
Bottom line · 2025–26
In 2025–26, Jakob Poeltl ranked 102nd in per-minute impact. His box-score profile ranked 108th, led by elite scoring efficiency. With only about 1,100 minutes, he finished in the 70th percentile for total season value.
2025–26 NBA percentile rankings: What drives Jakob Poeltl's impact
395 qualified NBA playersEvery player in the comparison logged at least 450 minutes.
Compare with
Overall value
Impact Rate
74
64.6Season Value
70
25.1Scoring role
Usage
26
15.3%True shooting
98
69.8%3-point attempt rate
1
0.0%Free-throw rate
71
31.6%Creation and control
Assist rate
45
11.7%Turnover avoidance
28
13.9%Possession stats
Rebound rate
89
16.0%Steal rate
57
1.7%Block rate
79
2.7%Lineup signal
Offensive lineup impact387-player lineup pool
49
+0.14Defensive lineup impact387-player lineup pool
45
−0.13Workload
Minutes per game
56
25.0Games played
18
46Total minutes
37
1,149Farther right means more of the named trait, not automatically better basketball. Turnover avoidance reverses turnover rate. Lineup rows exclude players below the 1,000-possession lineup-sample floor.
Every season
Jakob Poeltl advanced stats by season
Era-centered box impact supports comparisons through time. Impact Rate and its rank compare players only within that season.
| Season | Team | Age | GP | MP | Era-centered box impact | Impact Rate | Rate rank | Season Value | Value percentile | Evidence |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025–26live model | TOR | 30 | 46 | 1,149 | +1.20 | 64.6 | #102 | 25.1 | 70th | Established |
| 2024–25 | TOR | 29 | 57 | 1,686 | +2.53 | 85.6 | #57 | 158.8 | 85th | Strong |
| 2023–24 | TOR | 28 | 50 | 1,319 | +1.94 | 83.2 | #63 | 107.6 | 75th | Strong |
| 2022–23 | SAS/TOR | 27 | 72 | 1,906 | +3.36 | 92.9 | #28 | 212.7 | 91st | Strong |
| 2021–22 | SAS | 26 | 68 | 1,970 | +2.46 | 88.0 | #47 | 183.1 | 90th | Strong |
| 2020–21 | SAS | 25 | 69 | 1,845 | +1.16 | 73.6 | #98 | 120.0 | 79th | Strong |
| 2019–20Historical Defense Estimate | SAS | 24 | 66 | 1,171 | +2.42 | 86.9 | #47 | 108.4 | 74th | Strong |
| 2018–19Historical Defense Estimate | SAS | 23 | 77 | 1,273 | +1.34 | 76.9 | #86 | 87.0 | 69th | Strong |
| 2017–18Historical Defense Estimate | TOR | 22 | 82 | 1,524 | -0.60 | 46.5 | #194 | 43.4 | 49th | Strong |
| 2016–17Historical Defense Estimate | TOR | 21 | 54 | 626 | -4.40 | 2.5 | #355 | -29.7 | 10th | Established |
Career movement
Jakob Poeltl's career impact by season
Peak +3.36 in 2022–23 · 10 seasons · 14,469 minutes
The same historical box-score model is used for every season, making the career shape comparable through time. This is separate from the current lineup-context ranking.
Era-centered box impactMinutes
Across-era box estimateWorkload
Career comparison
Compare the shape, not the calendar
Align by NBA experience to compare season one with season one, or by age to compare players at the same stage of life.
Jakob PoeltlJarrett Allen
NBA season number · fixed impact axis −5 to +15
Similar career arcs
Players with careers similar to Jakob Poeltl
The score compares era-centered box impact, peak, prime, workload, career length, position, and trajectory aligned by NBA experience. It describes career shape, not playing style or equal ability.
C · All-Time Career #591
Jarrett Allen
93%career match
93% season match · 2022–23 ↔ 2024–25C · All-Time Career #940Larry Nance Jr.
93%career match
97% season match · 2022–23 ↔ 2018–19C · All-Time Career #81Clyde Lovellette
92%career match
90% season match · 2022–23 ↔ 1959–60PF · All-Time Career #823Pascal Siakam
92%career match
88% season match · 2022–23 ↔ 2021–22C · All-Time Career #89Willis Reed
91%career match
85% season match · 2022–23 ↔ 1972–73PF · All-Time Career #737Kyle Anderson
91%career match
93% season match · 2022–23 ↔ 2020–21Why this rank?
Why Jakob Poeltl ranks #102
The current model starts with box production, checks it against multi-season lineup evidence, caps that correction, then accounts for how many minutes the player was trusted to play each game.
Prior rank #108
Current total +0.39 ±0.9
Split model · O +0.14 · D -0.13 = +0.01
Maximum ±0.75
Before the within-season scale
66.9 unadjusted · 94% role factor · rank #102
RAPM estimates lineup impact while controlling for the other nine players on the floor. The multi-season blend, current total model, and current offensive/defensive split are separate estimates, so they need not equal one another. hussEyquation uses the multi-season signal as a bounded correction, not as a standalone verdict.
What the point estimate meansLow precision
The model's 80% impact interval is -1.13 to +3.35. Exact ordering is difficult when many players have overlapping estimates.
- Top 25 chance
- 7%
- Top 50 chance
- 17%
- Top 100 chance
- 35%
- 80% rank range
- #34–#311
Impact Rate shows how strong a player was compared with everyone else that season. Season Value adds how much he played. The career ranking rewards a high peak, a long prime, and repeated seasons near the top. Older seasons use clearly labeled estimates where the NBA did not record today's full set of statistics. Read how every ranking works →