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Player profile · SAS / TOR
Jakob Poeltl
Jakob Poeltl stats, teams and career impact
#495 all-timeCareer averages · 9.1 PPG · 7.0 RPG · 1.8 APGPeak-weighted regular-season model · playoffs, awards, and championships excluded
- Position
- Center
- 2025–26 team
- Toronto Raptors
- Height / weight
- 7 ft 0 in (213 cm) · 253 lb (115 kg)
- Born
- October 15, 1995 (31 yrs old)
- College
- Utah
- NBA seasons
- 10 seasons · 2016–17 to 2025–26
Selected season2025–26 · TOR · 46 games · 1,149 minutes
- PPG
- 10.7
- RPG
- 7.0
- APG
- 2.0
- #103 of 395 46 games · 1,149 minutes
- 70th percentile
Impact Rate Rank
Season Value percentile
Career overview
Why Jakob Poeltl currently ranks #495 all time
Jakob Poeltl ranks #495 all time. Across his three best seasons, his average league finish was #40.7. His full-career value already ranks #428 after 10 seasons, and his all-time position can still rise.
450+ minutes required per season
641 games · Career Value Rank #428
Head to head
Compare Jakob Poeltl with…
Suggested matchups from basketball rivalries, comparable roles, and similar careers. Two active players open in the latest published season; switch to Career to compare their full careers.
- Jakob Poeltl vs. Clyde Lovellette Similar career path
- Jakob Poeltl vs. Larry Nance Jr. Similar career path
- Jakob Poeltl vs. Jarrett Allen Similar career path
- Jakob Poeltl vs. Pascal Siakam Similar career path
- Jakob Poeltl vs. Andrew Bynum Similar career path
- Jakob Poeltl vs. Willis Reed Similar career path
- Jakob Poeltl vs. Jamal Murray Same-era comparison
- Jakob Poeltl vs. D'Angelo Russell Same-era comparison
- Jakob Poeltl vs. Derrick White Same-era comparison
- Jakob Poeltl vs. Lauri Markkanen Same-era comparison
Full player detailsTeam history, career shooting and sources
Full team history
- Teams
- Toronto Raptors and San Antonio Spurs
Career shooting
NBA regular season- Field goal
- 63.6%FG%
- Three-point
- 42.9%3P%
- Free throw
- 55.9%FT%
641 career games · 14,469 minutes
Sources and updateConventional stats and measurements: Basketball Reference, accessed Sep 13, 2026. hussEyquation ranking data through 2025–26. Life dates: Wikidata; conflicting dates checked against Basketball Reference, accessed Sep 17, 2026.
Traditional box score
Jakob Poeltl stats by season
Start with scoring and impact, then switch views for shooting or the full advanced picture. Career percentages use total makes and attempts.
Box impact is an estimate in points per 100 possessions, not the 0–100 Impact Rate score. Zero is league average; higher is better. Rate rank is a league place: No. 1 is best.
Swipe for PPG · RPG · APG · Box impact · Team · G · GS · MPG →
| pts/100 · higher is better | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025–26 | 10.7 | 7.0 | 2.0 | +1.20 | TOR | 46 | 44 | 25.0 | 70.0% | — | 60.2% | #103 | 25.0 |
| 2024–25 | 14.5 | 9.6 | 2.8 | +2.53 | TOR | 57 | 56 | 29.6 | 62.7% | 33.3% | 67.4% | #57 | 158.8 |
| 2023–24 | 11.1 | 8.6 | 2.5 | +1.94 | TOR | 50 | 50 | 26.4 | 65.6% | — | 55.1% | #63 | 107.6 |
| 2022–23 | 12.5 | 9.1 | 2.7 | +3.36 | SAS/TOR | 72 | 71 | 26.5 | 62.9% | 0.0% | 59.2% | #28 | 212.7 |
| 2021–22 | 13.5 | 9.3 | 2.8 | +2.46 | SAS | 68 | 67 | 29.0 | 61.8% | 100.0% | 49.5% | #47 | 183.1 |
| 2020–21 | 8.6 | 7.9 | 1.9 | +1.16 | SAS | 69 | 51 | 26.7 | 61.6% | — | 50.8% | #98 | 120.0 |
| 2019–20 | 5.6 | 5.7 | 1.8 | +2.42 | SAS | 66 | 18 | 17.7 | 62.4% | — | 46.5% | #47 | 108.4 |
| 2018–19 | 5.5 | 5.3 | 1.2 | +1.34 | SAS | 77 | 24 | 16.5 | 64.5% | — | 53.3% | #86 | 87.0 |
| 2017–18 | 6.9 | 4.8 | 0.7 | -0.60 | TOR | 82 | 0 | 18.6 | 65.9% | 50.0% | 59.4% | #194 | 43.4 |
| 2016–17 | 3.1 | 3.1 | 0.2 | -4.40 | TOR | 54 | 4 | 11.6 | 58.3% | — | 54.4% | #355 | -29.7 |
| Career | 9.1 | 7.0 | 1.8 | — | SAS/TOR | 641 | — | 22.6 | 63.6% | 42.9% | 55.9% | — | — |
Source: Basketball Reference regular-season totals, accessed Sep 13, 2026.
RoleC · Age 30
Availability46 games · 44 starts
Workload25.0 MPG · 1,149 minutes
Relative impactTOR #4 of 11 · C #29 of 72
UpdatedOct 6, 2026
What these measures mean
- Box impact
- Estimated points per 100 possessions above that season's league average, from the historical box-score model. Zero is league average; higher is better. Historical defense estimates are included where labeled. This is not the live model's lineup-adjusted estimate.
- Impact Rate
- A 0–100 score comparing performance within one season. Higher is better. This is a score, not points per possession.
- Impact estimate
- The season model's final estimated points per 100 possessions above league average, before conversion to the 0–100 Impact Rate score. It includes lineup evidence where available. Zero is league average; higher is better.
- Impact Rate rank
- The player's place among qualified players in that season's Impact Rate ranking. No. 1 is best. This is a rank, not an impact score.
- Value contribution / Season Value
- Completed seasons use a fixed-baseline contribution to Career Value. The live season instead uses Season Value, combining that season's impact with workload.
- Career Impact Rank
- An all-time rank weighted toward the player's best three, five, and ten seasons.
46 games · 1,149 minutes · 64.9 / 100 · higher score is better · No. 1 is the best rank
25.0 total value · 395 qualified players
Career Composite 56.4 · lower is better · 10 seasons
Ranking certainty: Wide, likely #34–#314
- Impact Rate
- 0–100 score within one season. Higher is better.
- Box impact
- Estimated points per 100 possessions above league average, from the historical model. Zero is average; higher is better.
- Impact estimate
- The live model's final estimate in points per 100 possessions, including lineup evidence. It can differ from box impact. Higher is better.
Bottom line · 2025–26
In 2025–26, Jakob Poeltl ranked 103rd 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
0–100 score · higher is better
64.9 / 100Season Value
70
25.0Scoring 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
+0.14 pts/100Defensive lineup impact387-player lineup pool
45
−0.13 pts/100Workload
Minutes per game
56
25.0Games played
18
46Total minutes
37
1,149A 0–100 score comparing performance within one season. Higher is better. This is a score, not points per possession. The other bars show percentiles in the selected comparison group. Farther right means more of the named trait, not automatically better basketball. Turnover avoidance reverses turnover rate. Lineup figures are points per 100 possessions; higher is better. Lineup rows exclude players below the 1,000-possession lineup-sample floor.
Ranking editions
How the ranking changed
Both editions use the source snapshot dated Jul 14, 2026. These are model-version changes, not results from new games. Each edition keeps its original published numbers.
64.6 Impact Rate · 1,149 MP
Ranking edition: Jul 21, 2026
First snapshot64.9 Impact Rate · 1,149 MP
Ranking edition: Oct 6, 2026
↓1 since priorEvery 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.
More advanced statsAge, minutes, impact, rank, value and data coverage
Scroll for more columns
| pts/100 · higher is better | 0–100 · higher is better | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 2025–26live model | TOR | 30 | 46 | 1,149 | +1.20 | 64.9 | #103 | 25.0 | 70th | Standard |
| 2024–25 | TOR | 29 | 57 | 1,686 | +2.53 | 85.6 | #57 | 158.8 | 85th | Broad |
| 2023–24 | TOR | 28 | 50 | 1,319 | +1.94 | 83.2 | #63 | 107.6 | 75th | Broad |
| 2022–23 | SAS/TOR | 27 | 72 | 1,906 | +3.36 | 92.9 | #28 | 212.7 | 91st | Broad |
| 2021–22 | SAS | 26 | 68 | 1,970 | +2.46 | 88.0 | #47 | 183.1 | 90th | Broad |
| 2020–21 | SAS | 25 | 69 | 1,845 | +1.16 | 73.6 | #98 | 120.0 | 79th | Broad |
| 2019–20Historical Defense Estimate | SAS | 24 | 66 | 1,171 | +2.42 | 86.9 | #47 | 108.4 | 74th | Broad |
| 2018–19Historical Defense Estimate | SAS | 23 | 77 | 1,273 | +1.34 | 76.9 | #86 | 87.0 | 69th | Broad |
| 2017–18Historical Defense Estimate | TOR | 22 | 82 | 1,524 | -0.60 | 46.5 | #194 | 43.4 | 49th | Broad |
| 2016–17Historical Defense Estimate | TOR | 21 | 54 | 626 | -4.40 | 2.5 | #355 | -29.7 | 10th | Standard |
Career movement
Jakob Poeltl's box impact by season
Peak box impact +3.36 points per 100 possessions in 2022–23 · 10 seasons · 14,469 minutes
Box impact estimates points per 100 possessions above each season's league average. Zero is average; higher is better. Rank labels show Impact Rate league places, not ranks on this chart's box-impact scale.
Box impact · points per 100 possessionsMinutes
Player-specific impact scaleWorkload
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 PoeltlClyde Lovellette
| NBA season | Jakob Poeltl | Clyde Lovellette |
|---|---|---|
| 1 | -4.4 | -0.4 |
| 2 | -0.6 | 1.0 |
| 3 | 1.3 | 2.3 |
| 4 | 2.4 | 2.1 |
| 5 | 1.2 | 3.0 |
| 6 | 2.5 | 1.9 |
| 7 | 3.4 | 1.9 |
| 8 | 1.9 | 2.6 |
| 9 | 2.5 | 1.0 |
| 10 | 1.2 | -2.2 |
| 11 | Did not play | -1.6 |
NBA season number
Similar career arcs
Players with careers similar to Jakob Poeltl
The career-similarity score compares era-centered box impact, peak, prime, workload, career length, position, and experience-aligned trajectory. It describes career shape, not playing style, equal ability, or probability.
C · All-Time Career #73
Clyde Lovellette
92career similarity score
90/100 closest-season score · 2022–23 ↔ 1958–59C · All-Time Career #492Larry Nance Jr.
92career similarity score
95/100 closest-season score · 2022–23 ↔ 2018–19C · All-Time Career #409Jarrett Allen
92career similarity score
93/100 closest-season score · 2022–23 ↔ 2024–25Why this rank?
Why Jakob Poeltl ranks #103
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.
Steps 1–4 use points per 100 possessions. Step 5 converts the final estimate to the 0–100 Impact Rate score. Higher is better on both scales; they are not the same number.
Prior rank #108
Current total +0.39 ±0.9
Split model · O +0.14 · D -0.13 = +0.01
Maximum ±1.25
Points per 100 possessions · higher is better
Higher is better · 67.3 before the MPG adjustment · rank #103
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.
Ranking certaintyWide
The model's 80% impact interval is -1.19 to +3.29. Exact ordering is difficult when many players have overlapping estimates.
- Top 25 chance
- 6%
- Top 50 chance
- 17%
- Top 100 chance
- 35%
- 80% rank range
- #34–#314
Impact Rate shows how strong a player was compared with everyone else that season. Season Value adds how much he played; completed player-profile rows instead show each season's fixed-baseline contribution to Career Value. Career Impact Rank 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 →