Player Information
Team TOR
Pos C(C)
Age 31
Height 7' 0"
Weight 248
Year 11
Game Today Next Game Status Today Rank - Pos Today Rank - G/F/C Today Rank - All
News | Projections | Game Log | Season Stats
Jakob Poeltl Per Game Stats
G GS MIN PTS REB AST STL BLK TO FG FGA FG% 2P 2PA 2PT% 3P 3PA 3PT% FT FTA FT% +/- DK FD
Next 7 Days 7 7 29.0 12.0 9.4 2.9 0.8 1.7 1.6 5.3 8.5 0.620 5.3 8.5 0.622 0.0 0.1 0.278 1.4 2.4 0.561 34 33 Last 2 Weeks Last 4 Weeks Season Stats 50 48 24.3 10.1 7.0 2.0 0.9 0.7 1.2 4.4 6.3 0.701 4.4 6.3 0.701 0.0 0.0 1.3 2.1 0.617 +2 25 25 Pre‑Seas Proj 60 29.0 12.4 9.4 2.9 0.8 1.7 1.7 0.000 0.0 0.561 Rest of Season 23.6 10.1 7.7 2.3 0.6 1.4 1.4 4.5 7.0 0.640 4.5 7.0 0.640 0.0 0.0 0.347 1.1 2.0 0.560
Jakob Poeltl Per 36 Minute Stats
Jakob Poeltl Usage Rate - Toronto Raptors
Daily NBA projections by the Razzball Stocktonator. Player status for all projected games based on their status as of today. Ranks based on Yahoo! Default Roto Points. PosRank=Daily Rank among PG/SG/SF/PF/C. GFCRank=Daily Rank among G/F/C. Rank=All players for that day..
Time Opp Lineup Posted Inj MIN PTS REB AST STL BLK TO 2P 2PT% 3P 3PT% FT FT% PF Y! PTS Pos Rank GFC Rank All Rank Last Update
G MIN PTS REB AST STL BLK TO 2P 2PA 3P 3PA FT FTA PF Y! PTS Pos Rank All Rank
Jakob Poeltl Projections | DFS
Jakob Poeltl News
Jakob Poeltl Game Log
Includes all games in which a player was on active roster except if Injury Status was "Doubtful" or "Out" and the player did not play in the game. Scores hyperlink to NBA.com box score/game recap. DK/FD=DraftKings and FanDuel game scores. USG=Usage Rate % - see here for calculation .
Opp Score WL GS MIN PTS REB AST STL BLK TO 2P 2PA 2PT% 3P 3PA 3PT% FT FTA FT% +/- DK FD USG
5/3 @CLE W 1 22.4 9 7 0 2 0 2 4 5 0.800 0 0 1 4 0.250 +9 21 21 5/1 CLE L 1 21.5 2 4 1 2 1 0 1 3 0.333 0 0 0 0 0 15 17 4/29 @CLE W 1 20.8 14 9 3 0 1 0 5 6 0.833 0 0 4 6 0.667 +6 33 32 4/26 CLE L 1 20.9 10 6 1 1 1 0 4 7 0.571 0 0 2 2 1.000 -7 24 25 4/23 CLE L 1 18.2 8 6 2 0 1 0 4 6 0.667 0 0 0 0 +4 21 21 4/20 @CLE W 1 9.4 2 4 1 0 0 2 1 2 0.500 0 0 0 0 -7 8 6 4/18 @CLE W 1 21.2 4 6 2 1 2 2 1 2 0.500 0 0 2 2 1.000 0 20 21 4/12 BKN 136‑101 W 1 19.3 11 5 2 2 1 3 5 5 1.000 0 0 1 5 0.200 +16 26 26 24.8 4/10 @NY 95‑112 L 1 19.4 4 3 1 1 0 2 2 3 0.667 0 0 0 0 -14 10 10 12.5 4/9 MIA 128‑114 W 1 17.4 6 2 1 0 1 1 3 4 0.750 0 0 0 0 +4 12 12 13.1 4/5 @BOS 101‑115 L 1 20.1 14 2 0 0 0 3 7 9 0.778 0 0 0 0 -16 16 13 26.8 4/3 @MEM 128‑96 W 1 22.8 8 7 4 2 1 0 4 6 0.667 0 0 0 0 +14 29 31 10.9 4/1 SAC 115‑123 L 1 28.2 18 5 1 1 0 0 6 8 0.750 0 0 6 8 0.750 -9 29 29 19.2 3/29 ORL 139‑87 W 1 25.1 11 7 3 1 1 0 5 7 0.714 0 0 1 2 0.500 +29 29 30 13.3 3/27 NO 119‑106 W 1 29.6 18 11 3 1 1 1 9 11 0.818 0 0 0 0 +15 41 41 17.1 3/25 @LAC 94‑119 L 1 21.5 10 6 1 1 0 1 5 9 0.556 0 0 0 2 0.000 -11 22 21 21.7 3/23 @UTA 143‑127 W 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3/22 @PHO 98‑120 L 1 16.6 0 0 2 0 2 0 0 1 0.000 0 0 0 0 -13 7 9 2.8 3/20 @DEN 115‑121 L 1 35.2 23 11 2 2 0 0 10 14 0.714 0 0 3 6 0.500 -2 45 45 21.4 3/18 @CHI 139‑109 W 1 21.0 17 8 2 1 1 2 7 10 0.700 0 0 3 3 1.000 +33 34 34 26.2 3/15 DET 119‑108 W 1 36.4 21 18 5 0 1 0 9 12 0.750 0 0 3 5 0.600 +2 54 53 16.4 3/11 @NO 111‑122 L 1 29.6 8 5 0 0 3 0 4 7 0.571 0 0 0 0 -8 20 23 9.8 3/10 @HOU 99‑113 L 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3/8 DAL 122‑92 W 1 30.5 16 10 4 1 2 1 8 9 0.889 0 0 0 0 +16 41 42 14.0 3/5 @MIN 107‑115 L 1 29.1 9 7 4 2 1 1 4 5 0.800 0 0 1 2 0.500 -23 29 31 10.8 3/3 NY 95‑111 L 1 29.9 9 7 0 0 1 2 4 6 0.667 0 0 1 1 1.000 -10 19 18 13.8 2/28 @WAS 134‑125 W 1 26.3 18 10 3 3 1 1 7 7 1.000 0 0 4 5 0.800 +18 44 46 17.6 2/25 SA 107‑110 L 0 28.1 15 7 2 1 3 0 5 11 0.455 0 0 5 5 1.000 +18 36 38 19.8 2/24 OKC 107‑116 L 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2/22 @MIL 122‑94 W 1 25.9 6 8 2 2 0 0 3 4 0.750 0 0 0 0 +14 23 25 6.7 2/19 @CHI 110‑101 W 0 16.1 2 0 1 0 0 2 1 1 1.000 0 0 0 0 +2 3 2 7.6 2/11 DET 95‑113 L 1 20.1 9 6 0 0 0 1 4 7 0.571 0 0 1 2 0.500 -2 16 15 20.9 2/8 IND 122‑104 W 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12/28 GS 141‑127 W 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12/26 @WAS 117‑138 L 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12/23 @MIA 112‑91 W 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12/21 @BKN 81‑96 L 1 6.6 2 2 0 0 0 1 1 1 1.000 0 0 0 0 0 4 3 13.9 12/20 BOS 96‑112 L 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12/18 @MIL 111‑105 W 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12/15 @MIA 106‑96 W 1 29.4 8 8 2 0 1 4 4 6 0.667 0 0 0 0 -9 21 20 14.7 12/9 NY 101‑117 L 1 24.8 10 9 3 2 0 2 5 7 0.714 0 0 0 0 -18 30 29 15.7 12/7 BOS 113‑121 L 1 24.8 10 4 0 0 0 0 4 9 0.444 0 0 2 2 1.000 -18 16 15 17.5 12/5 CHA 86‑111 L 1 22.6 5 7 1 2 1 3 2 5 0.400 0 0 1 2 0.500 -6 20 21 16.2 12/2 POR 121‑118 W 1 26.4 11 7 4 0 0 2 5 7 0.714 0 0 1 1 1.000 +7 26 23 14.7 11/30 @NY 94‑116 L 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11/29 @CHA 111‑118 L 1 32.5 8 11 9 2 1 3 4 6 0.667 0 0 0 0 -5 40 41 12.1 11/26 IND 97‑95 W 1 31.6 8 9 3 1 1 2 4 6 0.667 0 0 0 0 +12 27 27 10.6 11/24 CLE 110‑99 W 1 26.8 7 13 1 2 0 2 3 4 0.750 0 0 1 1 1.000 +4 28 28 10.2 11/23 BKN 119‑109 W 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11/21 WAS 140‑110 W 1 19.2 3 9 1 0 1 1 1 1 1.000 0 0 1 2 0.500 +9 17 17 6.3 11/19 @PHI 121‑112 W 1 32.8 19 8 4 1 0 1 8 10 0.800 0 0 3 4 0.750 +4 38 37 17.2 11/17 CHA 110‑108 W 1 31.7 13 9 1 0 0 1 6 7 0.857 0 0 1 2 0.500 +6 26 24 12.0 11/15 @IND 129‑111 W 1 25.9 22 9 1 1 1 1 8 9 0.889 0 0 6 14 0.429 +4 39 39 25.5 11/13 @CLE 126‑113 W 1 29.4 20 7 3 2 0 0 7 10 0.700 0 0 6 6 1.000 +7 38 39 19.0 11/11 @BKN 119‑109 W 1 29.6 12 10 2 1 2 0 5 6 0.833 0 0 2 4 0.500 +15 35 36 11.4 11/7 @ATL 109‑97 W 1 25.2 12 10 1 1 1 2 4 5 0.800 0 0 4 4 1.000 +6 30 30 14.6 11/4 MIL 128‑100 W 1 20.0 8 9 0 0 0 0 4 6 0.667 0 0 0 0 0 19 19 12.8 11/2 MEM 117‑104 W 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10/29 HOU 121‑139 L 0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10/27 @SA 103‑121 L 1 24.0 2 2 1 0 1 4 1 6 0.167 0 0 0 0 -9 6 5 19.2 10/26 @DAL 129‑139 L 1 19.0 4 8 4 1 0 1 2 3 0.667 0 0 0 2 0.000 -15 22 22 9.9 10/24 MIL 116‑122 L 1 26.6 6 5 2 0 0 1 3 5 0.600 0 0 0 2 0.000 -1 15 14 10.8 10/22 @ATL 138‑118 W 1 22.4 14 6 2 0 1 2 7 8 0.875 0 0 0 1 0.000 -3 27 25 17.7 4/4 DET L 1 30.8 10 11 2 1 3 4 5 11 0.455 0 0 0 0 -7 34 34 3/28 CHA L 1 26.1 24 12 3 0 1 1 12 14 0.857 0 0 0 1 0.000 +9 46 45 3/24 @WAS W 1 25.8 21 11 1 2 3 2 10 13 0.769 0 0 1 2 0.500 +9 46 49 3/20 @GS W 1 27.6 18 8 2 0 2 2 8 9 0.889 0 0 2 2 1.000 +3 35 35 3/16 @POR W 1 24.8 19 8 3 2 0 3 8 12 0.667 1 1 1.000 0 2 0.000 +12 38 36 3/12 PHI L 1 17.1 9 5 2 2 2 4 4 6 0.667 0 0 1 1 1.000 +8 24 26 3/8 WAS L 1 24.2 21 5 5 2 0 2 9 13 0.692 0 0 3 3 1.000 +1 39 39 3/4 @ORL W 1 23.6 17 7 2 2 1 0 6 8 0.750 0 0 5 5 1.000 +14 36 37 3/2 @ORL W 1 26.2 16 11 3 1 1 1 6 10 0.600 0 0 4 5 0.800 +10 39 39 2/28 @CHI W 1 22.4 10 4 3 2 0 3 5 7 0.714 0 0 0 0 +12 23 22 2/26 @IND W 1 24.4 10 5 2 0 0 0 4 8 0.500 0 0 2 4 0.500 -5 20 19 2/4 NY L 1 14.8 5 2 2 1 0 0 2 4 0.500 0 0 1 1 1.000 -8 13 13 2/2 LAC L 1 31.0 10 10 3 0 1 4 4 9 0.444 0 0 2 2 1.000 +11 28 26 1/31 CHI L 1 33.9 8 9 6 0 5 1 4 8 0.500 0 0 0 0 -11 38 42 1/29 @WAS W 1 26.6 12 8 6 2 0 1 6 11 0.546 0 0 0 0 +26 36 36 1/27 NO L 1 31.9 21 14 5 0 3 1 10 14 0.714 0 0 1 2 0.500 +20 53 53 1/25 @ATL W 1 27.4 9 9 3 3 1 2 4 6 0.667 0 0 1 1 1.000 +15 32 34 1/23 @ATL W 1 28.1 17 9 5 2 2 3 7 10 0.700 0 0 3 3 1.000 +6 43 44 1/21 ORL L 1 19.3 8 3 0 0 1 1 4 6 0.667 0 0 0 0 -26 13 14 1/17 @MIL W 1 22.5 12 10 2 1 1 2 6 11 0.546 0 0 0 0 -9 32 31 1/15 BOS L 1 30.7 16 11 2 0 1 0 8 8 1.000 0 0 0 0 +7 36 35 1/13 GS L 1 34.7 13 13 2 0 1 2 6 11 0.546 0 0 1 2 0.500 +14 34 33 1/11 @DET W 1 33.7 8 12 3 3 1 1 4 10 0.400 0 0 0 4 0.000 -10 35 38 1/9 @CLE W 1 33.8 17 7 6 3 1 0 8 10 0.800 0 0 1 4 0.250 0 44 46 1/8 @NY W 1 30.2 8 10 3 1 0 4 4 6 0.667 0 0 0 0 -19 25 24 1/6 MIL L 1 31.4 12 7 1 1 1 1 6 9 0.667 0 0 0 1 0.000 -30 27 27 1/3 ORL L 1 33.5 25 6 2 1 1 3 11 12 0.917 0 0 3 3 1.000 -10 39 38 1/1 BKN L 1 33.6 12 9 2 1 2 0 6 10 0.600 0 0 0 0 +17 33 35 12/31 @BOS W 1 29.7 7 13 3 2 1 1 3 4 0.750 0 0 1 2 0.500 -19 33 35 12/29 ATL L 1 26.7 13 6 1 2 3 4 5 8 0.625 0 0 3 4 0.750 -25 31 33 12/16 CHI 121‑122 L 1 21.8 6 5 3 1 0 1 3 7 0.429 0 0 0 0 -7 18 19 14.3 12/12 @MIA 104‑114 L 0 27.1 16 4 2 1 1 1 7 11 0.636 0 1 0.000 2 3 0.667 -18 29 29 23.1 12/9 NY 108‑113 L 1 33.4 10 12 4 1 2 1 4 8 0.500 0 0 2 2 1.000 +10 38 38 12.6 12/7 DAL 118‑125 L 1 33.5 20 7 7 2 0 3 7 11 0.636 0 0 6 6 1.000 -8 43 42 20.9 12/3 IND 122‑111 W 1 35.9 17 10 4 1 2 3 7 10 0.700 0 0 3 3 1.000 +18 41 41 16.7 12/1 MIA 119‑116 W 1 36.7 17 11 3 2 1 1 6 12 0.500 0 0 5 8 0.625 -11 42 43 19.5 11/29 @MIA 111‑121 L 1 32.4 24 10 1 0 1 2 10 11 0.909 0 0 4 5 0.800 -2 40 39 21.3 11/27 @NO 119‑93 W 1 30.6 2 8 1 2 1 0 1 4 0.250 0 0 0 2 0.000 +26 20 22 6.6 11/25 @DET 100‑102 L 1 27.7 8 11 2 0 2 2 4 11 0.364 0 0 0 0 -13 28 28 19.2 11/24 @CLE 108‑122 L 1 33.0 12 19 2 1 2 1 5 11 0.455 0 1 0.000 2 3 0.667 -14 45 46 17.2 11/21 MIN 110‑105 W 1 28.8 15 12 2 0 0 0 5 8 0.625 0 0 5 8 0.625 0 34 32 18.1 11/18 IND 130‑119 W 1 37.6 30 15 2 2 2 6 13 18 0.722 0 0 4 6 0.667 +18 58 57 29.0 11/16 @BOS 123‑126 L 1 37.2 35 12 0 1 0 2 16 19 0.842 0 0 3 4 0.750 -3 52 50 27.9 11/15 DET 95‑99 L 1 35.0 25 18 3 1 3 1 12 20 0.600 0 0 1 4 0.250 +6 61 62 25.9 11/12 @MIL 85‑99 L 1 28.2 13 8 1 3 2 3 6 13 0.462 0 0 1 2 0.500 0 34 36 24.8 11/10 @LAL 103‑123 L 1 31.1 14 10 4 1 0 1 7 12 0.583 0 0 0 0 -4 35 34 18.6 11/9 @LAC 103‑105 L 1 30.1 5 12 3 0 3 4 1 6 0.167 0 0 3 6 0.500 0 29 29 17.6 11/6 @SAC 107‑122 L 1 34.6 10 8 4 2 0 3 5 8 0.625 0 0 0 0 -18 30 29 14.4 11/4 @DEN 119‑121 L 1 32.4 24 11 3 3 0 2 11 18 0.611 0 0 2 4 0.500 -5 48 49 26.0 11/2 SAC 131‑128 W 1 33.8 13 9 2 2 1 4 5 8 0.625 0 0 3 4 0.750 -16 32 32 16.9 11/1 LAL 125‑131 L 1 35.1 19 12 6 0 3 2 9 14 0.643 0 0 1 1 1.000 -4 49 49 18.2 10/30 @CHA 133‑138 L 1 35.1 20 16 2 2 0 1 10 14 0.714 0 0 0 0 +18 48 47 17.3 10/28 DEN 125‑127 L 1 40.2 16 19 2 0 1 3 7 13 0.539 0 0 2 2 1.000 -1 44 42 16.7 10/26 @MIN 101‑112 L 1 30.0 8 10 3 1 1 2 4 9 0.444 0 0 0 0 -12 28 29 15.2 10/25 PHI 115‑107 W 1 27.4 19 9 3 0 4 2 5 8 0.625 0 0 9 11 0.818 +7 43 44 21.3 10/23 CLE 106‑136 L 1 26.2 6 9 2 0 0 5 2 6 0.333 0 0 2 4 0.500 -13 18 15 20.1 3/3 CHA 111‑106 W 1 14.8 8 2 3 0 1 1 4 6 0.667 0 0 0 0 +14 17 17 20.1 3/1 GS 105‑120 L 1 24.8 10 14 2 1 1 2 5 10 0.500 0 0 0 2 0.000 -11 35 34 21.4 2/28 DAL 125‑136 L 1 29.2 16 7 6 4 2 0 7 12 0.583 0 0 2 3 0.667 -1 47 51 17.9 2/26 @IND 130‑122 W 1 21.6 15 10 4 0 1 0 7 10 0.700 0 0 1 1 1.000 +10 37 36 20.2 2/23 @ATL 123‑121 W 1 26.0 12 13 6 0 2 1 6 13 0.462 0 0 0 0 +4 42 42 22.2 2/22 BKN 121‑93 W 1 25.7 8 9 2 1 3 1 3 7 0.429 0 0 2 4 0.500 +26 30 33 17.0 2/14 IND 125‑127 L 1 29.5 19 11 3 1 2 2 8 15 0.533 0 0 3 4 0.750 -2 43 44 24.5 2/12 SA 99‑122 L 1 20.0 12 6 1 0 0 0 5 10 0.500 0 0 2 2 1.000 -5 22 21 21.0 2/10 CLE 95‑119 L 1 21.0 6 7 1 0 1 0 3 7 0.429 0 0 0 2 0.000 -14 18 19 16.7 2/9 HOU 107‑104 W 1 37.1 16 13 3 3 6 4 7 11 0.636 0 0 2 2 1.000 +14 54 59 18.0 2/7 @CHA 123‑117 W 1 33.4 12 12 2 0 1 1 5 7 0.714 0 0 2 2 1.000 +6 33 31 12.7 2/5 @NO 100‑138 L 1 27.7 14 9 1 1 2 3 7 8 0.875 0 0 0 2 0.000 -21 32 32 19.0 2/4 @OKC 127‑135 L 1 33.3 19 12 3 0 2 2 8 9 0.889 0 0 3 4 0.750 -6 43 42 18.3 2/2 @HOU 106‑135 L 1 20.4 6 5 1 0 2 3 3 5 0.600 0 0 0 0 -17 16 17 16.6 1/7 @GS 133‑118 W 1 30.9 14 11 5 0 0 2 6 8 0.750 0 0 2 5 0.400 +21 35 33 17.7 1/5 @SAC 130‑135 L 1 22.5 14 6 2 0 3 3 7 10 0.700 0 0 0 0 +12 30 30 24.5 1/3 @MEM 116‑111 W 1 33.4 7 8 2 1 5 1 2 7 0.286 0 0 3 4 0.750 -9 32 37 12.9 1/1 CLE 124‑121 W 1 37.1 14 11 4 0 3 4 5 8 0.625 0 0 4 7 0.571 +3 39 38 16.9 12/30 @DET 127‑129 L 1 34.7 4 14 5 1 3 0 2 4 0.500 0 0 0 0 +8 37 40 5.0 12/29 @BOS 118‑120 L 1 22.5 12 10 3 0 2 0 5 8 0.625 0 0 2 2 1.000 -9 34 35 17.6 12/27 @WAS 132‑102 W 1 21.4 10 8 2 2 1 2 4 6 0.667 0 0 2 4 0.500 +16 29 30 18.8 12/23 UTA 119‑126 L 1 20.9 2 4 3 0 2 0 1 4 0.250 0 0 0 0 +3 16 17 8.1 12/22 @PHI 111‑121 L 1 28.8 19 8 2 1 0 1 9 15 0.600 0 0 1 2 0.500 -14 35 34 25.3 12/20 DEN 104‑113 L 1 19.4 4 5 3 0 2 1 2 5 0.400 0 0 0 0 -12 18 20 13.9 12/18 CHA 114‑99 W 1 15.3 4 1 2 0 0 4 2 2 1.000 0 0 0 0 -12 6 4 16.7 12/15 ATL 104‑125 L 1 25.3 15 8 0 2 1 3 7 7 1.000 0 0 1 2 0.500 -12 31 31 20.2 12/13 ATL 135‑128 W 1 31.9 15 13 6 0 3 1 5 8 0.625 0 0 5 8 0.625 +12 47 48 16.9 12/11 @NY 130‑136 L 1 23.9 11 8 2 0 0 1 3 6 0.500 0 0 5 8 0.625 -6 25 23 17.7 12/8 @CHA 116‑119 L 1 26.3 8 8 1 0 0 0 4 4 1.000 0 0 0 0 -7 20 19 6.3 12/6 MIA 103‑112 L 1 27.6 2 6 1 0 4 0 1 2 0.500 0 0 0 2 0.000 -12 19 23 4.7 12/1 NY 106‑119 L 1 27.9 12 12 1 0 2 1 6 9 0.667 0 0 0 0 0 33 33 14.4 11/29 PHO 112‑105 W 1 29.7 17 4 1 0 1 2 8 9 0.889 0 0 1 2 0.500 +1 26 24 17.2 11/28 @BKN 103‑115 L 1 24.7 6 9 4 1 2 1 3 5 0.600 0 0 0 0 0 29 31 10.0 11/26 @CLE 102‑105 L 1 34.9 18 13 2 2 0 1 8 9 0.889 0 0 2 2 1.000 +9 42 42 13.1 11/24 CHI 121‑108 W 1 30.6 15 10 3 2 1 1 7 8 0.875 0 0 1 5 0.200 +15 39 40 16.1 11/22 @IND 132‑131 W 1 29.0 6 4 6 0 1 3 3 4 0.750 0 0 0 0 -2 21 20 9.6 11/21 @ORL 107‑126 L 1 22.9 10 10 1 0 1 4 5 7 0.714 0 0 0 0 -13 25 23 21.4 11/19 DET 142‑113 W 1 24.7 16 10 4 1 3 1 6 6 1.000 0 0 4 5 0.800 +21 43 45 14.7 11/17 BOS 105‑108 L 1 33.8 11 8 4 1 0 3 5 5 1.000 0 0 1 2 0.500 +1 29 27 11.9 11/15 MIL 112‑128 L 1 27.2 13 11 1 4 2 0 6 10 0.600 0 0 1 2 0.500 -17 41 46 15.5 11/13 WAS 111‑107 W 1 24.2 13 6 5 0 0 1 6 8 0.750 0 0 1 3 0.333 -14 29 27 17.5 11/11 @BOS 94‑117 L 1 21.3 12 3 2 0 0 1 6 10 0.600 0 0 0 0 -9 19 18 23.4 11/8 @DAL 127‑116 W 1 20.7 4 6 3 2 0 1 2 5 0.400 0 0 0 1 0.000 0 20 21 12.2 11/5 @SA 123‑116 W 1 28.5 16 10 0 3 1 1 8 10 0.800 0 0 0 2 0.000 -5 37 39 18.0 11/2 @PHI 99‑114 L 1 27.8 9 9 2 0 1 4 4 8 0.500 0 0 1 1 1.000 -9 23 22 20.2 11/1 MIL 130‑111 W 1 29.1 14 11 2 0 3 2 7 10 0.700 0 0 0 0 +22 37 37 17.5 10/30 POR 91‑99 L 1 28.5 14 10 1 0 1 2 6 8 0.750 0 0 2 3 0.667 -5 30 29 17.1 10/28 PHI 107‑114 L 1 24.8 6 7 3 0 1 2 2 5 0.400 0 0 2 3 0.667 -19 20 20 14.9 10/27 @CHI 103‑104 L 1 18.8 8 6 0 0 0 3 4 5 0.800 0 0 0 0 +20 14 12 19.5 10/25 MIN 97‑94 W 1 23.7 7 11 1 1 1 0 3 3 1.000 0 0 1 4 0.250 +8 26 28 8.7
Jakob Poeltl Stats | Season (Per Game)
Jakob Poeltl season stats per game from 2010-2022.
Team G GS MIN PTS REB AST STL BLK TO FG FGA FG% 2PT 2PTA 2PT% 3PT 3PTA 3PT% FT FTA FT%
2016/17 TOR 54 4 12 3.1 3.1 0.2 0.3 0.4 0.6 1.2 2.1 0.583 1.2 2.1 0.583 0.0 0.0 0.6 1.1 0.544 2017/18 TOR 82 0 19 6.9 4.8 0.7 0.5 1.2 1.0 3.1 4.7 0.659 3.1 4.7 0.660 0.0 0.0 0.500 0.7 1.2 0.594 2019/20 SA 69 51 27 8.6 7.9 1.9 0.7 1.8 1.2 3.8 6.2 0.616 3.8 6.2 0.616 0.0 0.0 0.9 1.8 0.508 2020/21 SA 69 51 27 8.6 7.9 1.9 0.7 1.8 1.2 3.8 6.2 0.616 3.8 6.2 0.616 0.0 0.0 0.9 1.8 0.508 2022/23 TOR 72 71 26 12.5 9.1 2.7 0.9 1.2 1.7 5.4 8.6 0.629 5.4 8.6 0.631 0.0 0.0 0.000 1.7 2.8 0.592 2023/24 TOR 50 50 26 11.1 8.6 2.5 0.7 1.5 1.5 5.0 7.6 0.656 5.0 7.6 0.656 0.0 0.0 1.2 2.1 0.551 2024/25 TOR 4 4 23 6.5 5.3 2.3 0.3 0.5 2.0 3.3 5.5 0.591 3.3 5.5 0.591 0.0 0.0 0.0 1.3 0.000 2025/26 TOR 46 44 25 10.7 7.0 2.0 0.9 0.7 1.2 4.7 6.7 0.700 4.7 6.7 0.700 0.0 0.0 1.3 2.1 0.602
Jakob Poeltl Stats | Season (Per 36 Minutes)
Jakob Poeltl season stats per 36 minutes from 2010-2022.
Team G GS MIN PTS REB AST STL BLK TO FG FGA FG% 2PT 2PTA 2PT% 3PT 3PTA 3PT% FT FTA FT%
2016/17 TOR 54 4 12 9.5 9.5 0.7 1.0 1.2 1.7 3.9 6.6 0.583 3.9 6.6 0.583 0.0 0.0 1.8 3.3 0.544 2017/18 TOR 82 0 19 13.4 9.3 1.3 0.9 2.4 2.0 6.0 9.1 0.659 6.0 9.0 0.660 0.0 0.0 0.500 1.4 2.4 0.594 2019/20 SA 69 51 27 11.6 10.7 2.6 0.9 2.4 1.6 5.2 8.4 0.616 5.2 8.4 0.616 0.0 0.0 1.2 2.4 0.508 2020/21 SA 69 51 27 11.6 10.7 2.6 0.9 2.4 1.6 5.2 8.4 0.616 5.2 8.4 0.616 0.0 0.0 1.2 2.4 0.508 2021/22 TOR 72 71 26 16.9 12.3 3.7 1.2 1.6 2.4 7.3 11.7 0.629 7.3 11.7 0.631 0.0 0.0 0.000 2.2 3.8 0.592 2023/24 TOR 50 50 26 15.1 11.7 3.5 1.0 2.1 2.1 6.8 10.3 0.656 6.8 10.3 0.656 0.0 0.0 1.6 2.9 0.551 2024/25 TOR 4 4 23 10.3 8.3 3.6 0.4 0.8 3.2 5.1 8.7 0.591 5.1 8.7 0.591 0.0 0.0 0.0 2.0 0.000 2025/26 TOR 46 44 25 15.4 10.1 2.9 1.3 1.0 1.8 6.8 9.7 0.700 6.8 9.7 0.700 0.0 0.0 1.8 3.1 0.602
Player data for Jakob Poeltl maintained by Rudy Gamble | Updated: 2026-10-19 21:55:30 EST
