BNSL Player Stats


Team:
Min PA:
Position
Games
R/L
Status
Timespan
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Reg Season Batting, all positions, All Teams, 2022 season (Qualified)
# Name AGE Pos Team G PA HR R SB BB% K% ISO BABIP AVG OBP OPS   WOBA WRC+ WAR
1 Fernando Tatis Jr. 23 SS DET 155 708 63 138 36 12.43% 23.59% .3719 .3413 .3157 .4119 1.0995 .4561 193.93 11.23
2 Ronald Acuna Jr. 24 RF CIN 155 680 60 131 17 13.82% 29.26% .3711 .3511 .2997 .4029 1.0737 .4455 186.58 9.34
3 Juan Soto 24 RF MIA 151 708 41 133 8 16.53% 19.21% .2680 .3594 .3230 .4379 1.0289 .4377 181.19 7.73
4 Vladimir Guerrero Jr. 23 1B MIA 146 662 32 106 0 17.22% 16.16% .2449 .3614 .3302 .4486 1.0238 .4371 180.77 7.14
5 Matt Olson 28 1B NYY 158 682 37 121 5 16.57% 22.43% .2504 .3414 .2934 .4164 0.9603 .4115 163.14 5.97
6 Max Muncy 32 2B OAK 149 642 36 117 5 15.42% 23.36% .2670 .3256 .2822 .3991 0.9483 .4041 157.97 6.43
7 Gleyber Torres 25 2B CHC 149 633 37 93 4 9.95% 20.85% .2456 .3418 .3060 .3788 0.9304 .3980 153.79 6.12
8 Kyle Tucker 25 RF OAK 155 644 24 92 9 10.25% 15.68% .2289 .3430 .3134 .3841 0.9264 .3909 148.87 5.29
9 Marcus Semien 32 SS TB 131 593 27 90 7 8.43% 16.69% .2285 .3487 .3202 .3773 0.9260 .3939 150.95 6.40
10 Mike Trout 31 CF BOS 152 654 33 100 4 18.81% 25.54% .2471 .3188 .2626 .4113 0.9210 .3967 152.84 6.44
11 Jose Ramirez 30 3B DET 158 675 26 108 14 13.78% 14.81% .2293 .3096 .2910 .3926 0.9129 .3885 147.19 6.03
12 Trent Grisham 25 CF SEA 152 677 31 111 11 12.11% 21.27% .2256 .3349 .2906 .3778 0.8940 .3818 142.56 6.47
13 Freddie Freeman 33 1B LAD 158 704 33 106 12 14.49% 17.61% .2313 .2956 .2738 .3880 0.8931 .3849 144.69 5.11
14 Starling Marte 34 RF CWS 143 606 16 81 42 6.27% 16.50% .1734 .3776 .3303 .3851 0.8888 .3812 142.19 5.93
15 Eloy Jimenez 25 LF BAL 139 602 37 94 4 6.31% 21.26% .2581 .3149 .2903 .3355 0.8839 .3725 136.15 2.03
16 Corey Seager 28 3B ATL 157 672 34 93 3 10.27% 15.63% .2475 .2857 .2795 .3527 0.8796 .3721 135.88 6.27
17 Trea Turner 29 SS COL 155 709 22 103 35 6.77% 17.63% .1877 .3674 .3215 .3695 0.8788 .3754 138.17 6.01
18 Marcell Ozuna 31 LF COL 151 648 31 96 0 10.80% 23.61% .2220 .3418 .2885 .3657 0.8762 .3765 138.90 3.67
19 Anthony Rendon 32 3B SD 124 545 19 76 7 12.48% 15.23% .1884 .3243 .2976 .3890 0.8751 .3782 140.10 5.12
20 Bo Bichette 24 2B LAD 150 704 27 116 42 7.39% 18.89% .1855 .3653 .3184 .3684 0.8723 .3737 136.96 7.53
21 Mookie Betts 30 RF MIA 155 706 27 116 21 13.17% 17.14% .2070 .3115 .2815 .3810 0.8694 .3761 138.73 5.91
22 Max Kepler 29 RF TB 143 570 29 82 5 11.75% 20.00% .2444 .2906 .2668 .3552 0.8664 .3691 133.79 3.29
23 Yuli Gurriel 38 1B HOU 160 682 19 97 5 8.65% 10.56% .1538 .3403 .3224 .3886 0.8648 .3754 138.17 3.64
24 Ozzie Albies 25 2B CWS 146 619 27 99 17 7.92% 18.74% .2216 .3246 .2908 .3511 0.8635 .3705 134.78 5.47
25 Xander Bogaerts 30 SS DET 132 577 22 82 0 10.23% 19.24% .2067 .3263 .2874 .3640 0.8580 .3675 132.66 2.48
26 Kyle Seager 34 3B BAL 143 600 31 77 0 9.50% 20.50% .2409 .2869 .2639 .3517 0.8564 .3659 131.59 4.43
27 Luis Robert 25 CF TB 147 647 21 104 17 7.26% 24.88% .2020 .3725 .2937 .3535 0.8492 .3652 131.06 5.68
28 Ke'Bryan Hayes 25 3B TEX 130 555 11 72 9 8.83% 18.02% .1800 .3523 .3006 .3682 0.8488 .3645 130.60 5.03
29 Matt Beaty 29 LF WSH 158 683 20 91 4 8.35% 18.30% .1892 .3419 .2936 .3642 0.8470 .3675 132.68 4.48
30 Justin Turner 37 3B COL 132 529 24 75 2 8.88% 18.15% .2169 .2939 .2733 .3554 0.8456 .3626 129.27 2.24
31 Aaron Judge 30 RF LAD 160 695 39 96 5 12.66% 28.35% .2425 .3025 .2508 .3482 0.8415 .3621 128.96 4.05
32 Brandon Crawford 35 SS SF 131 542 20 72 5 9.59% 19.93% .1863 .3380 .2919 .3623 0.8406 .3642 130.43 5.07
33 Bryce Harper 30 RF SF 159 734 30 98 8 20.84% 26.98% .2269 .2824 .2234 .3902 0.8404 .3667 132.12 4.45
34 José Abreu 35 1B SEA 148 631 31 74 0 8.40% 21.39% .2309 .3012 .2718 .3365 0.8392 .3579 126.06 2.70
35 Eugenio Suárez 31 3B COL 154 659 40 90 1 12.29% 29.89% .2518 .2896 .2412 .3399 0.8329 .3573 125.60 3.94
36 Austin Meadows 27 LF ATL 157 662 39 90 1 7.25% 23.11% .2550 .2802 .2566 .3187 0.8303 .3536 123.04 3.08
37 Tim Anderson 29 SS OAK 148 655 20 96 15 4.27% 19.69% .1895 .3546 .3056 .3349 0.8300 .3517 121.76 6.24
38 Rafael Devers 26 3B TB 141 628 35 91 4 10.19% 24.04% .2370 .2899 .2585 .3344 0.8299 .3545 123.70 3.93
39 Giancarlo Stanton 32 LF LAA 147 619 33 93 3 10.66% 29.24% .2200 .3263 .2606 .3473 0.8279 .3569 125.34 3.08
40 Rhys Hoskins 29 1B KC 158 676 32 92 1 13.02% 24.85% .2354 .2769 .2389 .3536 0.8279 .3587 126.63 2.95
41 Jorge Polanco 29 2B BOS 151 677 27 95 12 5.91% 14.92% .1939 .3112 .2917 .3383 0.8239 .3531 122.73 4.60
42 Michael Brantley 35 LF PIT 155 668 8 79 4 6.74% 11.53% .1358 .3534 .3208 .3669 0.8235 .3560 124.70 2.50
43 Charlie Blackmon 36 RF LAA 138 516 16 66 3 8.14% 16.28% .1875 .3161 .2845 .3508 0.8228 .3558 124.57 1.73
44 Bryan Reynolds 27 LF ATL 155 700 18 86 8 9.86% 21.57% .1723 .3531 .2882 .3610 0.8216 .3571 125.52 3.74
45 Ketel Marte 29 2B SEA 156 677 10 79 7 8.71% 14.48% .1429 .3485 .3054 .3693 0.8176 .3554 124.28 3.80
46 Jesse Winker 29 LF CIN 151 641 27 94 0 10.30% 17.78% .1921 .2915 .2693 .3557 0.8171 .3544 123.61 1.52
47 Steven Kwan 25 LF HOU 153 714 13 105 4 5.18% 13.59% .1381 .3568 .3202 .3579 0.8161 .3534 122.96 3.44
48 Jake Bauers 27 LF MIN 141 634 16 75 20 12.15% 28.23% .1639 .3876 .2805 .3708 0.8153 .3572 125.56 3.07
49 J.T. Realmuto 31 C PHI 131 542 19 72 4 6.46% 22.51% .1780 .3528 .2920 .3450 0.8150 .3529 122.62 4.45
50 Austin Riley 25 3B PHI 149 632 35 81 6 8.23% 27.06% .2327 .3003 .2558 .3265 0.8149 .3482 119.33 3.42
51 Gio Urshela 31 3B OAK 124 514 12 66 0 4.47% 19.07% .1722 .3573 .3029 .3392 0.8143 .3505 120.90 2.94
52 Franmil Reyes 27 RF CWS 145 569 35 76 0 10.90% 29.17% .2470 .2852 .2430 .3239 0.8140 .3480 119.21 1.20
53 Adalberto Mondesi 27 2B LAD 152 611 24 98 79 5.73% 28.64% .2120 .3595 .2774 .3213 0.8107 .3457 117.58 6.52
54 Paul Goldschmidt 35 1B BOS 153 655 22 83 3 11.15% 22.29% .1845 .3211 .2689 .3542 0.8076 .3485 119.58 2.33
55 Tyler Naquin 31 RF TEX 135 533 16 55 9 4.88% 19.70% .1710 .3482 .2998 .3358 0.8067 .3452 117.24 1.75
56 Manuel Margot 28 CF COL 154 669 14 108 24 8.82% 17.49% .1788 .3270 .2815 .3443 0.8046 .3474 118.78 4.87
57 Nick Castellanos 30 RF CWS 158 695 25 85 0 6.91% 20.29% .1915 .3207 .2801 .3329 0.8044 .3445 116.79 2.12
58 George Springer 33 CF LAD 152 621 23 79 2 11.27% 21.74% .1842 .3146 .2689 .3510 0.8041 .3494 120.17 4.09
59 Nolan Arenado 31 3B CHC 153 667 37 90 0 6.60% 16.94% .2382 .2596 .2577 .3068 0.8027 .3415 114.70 4.77
60 Enrique Hernández 31 LF PIT 157 636 20 80 0 8.96% 17.30% .1986 .2936 .2648 .3386 0.8019 .3454 117.39 4.05
61 Teoscar Hernández 30 LF DET 154 689 36 84 3 5.95% 24.96% .2236 .3048 .2646 .3135 0.8017 .3422 115.21 3.10
62 Will Smith 27 C LAD 123 546 25 68 7 12.09% 26.37% .2217 .2885 .2409 .3376 0.8003 .3462 117.96 3.33
63 Salvador Perez 32 C MIL 127 538 31 68 0 3.90% 22.86% .2122 .3062 .2750 .3123 0.7995 .3429 115.65 2.85
64 Brandon Lowe 28 2B KC 131 554 26 73 1 10.29% 31.59% .2224 .3276 .2469 .3297 0.7991 .3430 115.73 2.36
65 Ramon Urias 28 SS WSH 159 644 16 66 3 7.76% 25.78% .1757 .3620 .2765 .3469 0.7990 .3480 119.22 2.70
66 Eduardo Escobar 33 3B NYY 152 666 33 94 6 6.16% 21.47% .2309 .2851 .2585 .3087 0.7982 .3388 112.86 3.30
67 Luis Arraez 25 LF SD 123 509 3 71 1 7.86% 11.20% .0925 .3654 .3247 .3782 0.7954 .3512 121.40 2.49
68 Miguel Sanó 29 1B OAK 145 604 32 77 0 13.91% 28.64% .2391 .2589 .2213 .3344 0.7949 .3426 115.44 1.92
69 Tommy Pham 34 LF NYY 147 677 25 98 25 11.82% 23.04% .1701 .3170 .2646 .3561 0.7908 .3463 118.02 2.68
70 Luke Voit 31 1B NYY 159 691 32 98 2 11.72% 27.21% .1993 .3005 .2449 .3464 0.7906 .3456 117.52 2.49
71 J.D. Martinez 35 LF CIN 162 719 34 80 0 9.46% 21.84% .2100 .2829 .2535 .3268 0.7903 .3407 114.17 1.69
72 Cody Bellinger 27 CF MIL 155 665 28 88 9 12.63% 25.56% .2218 .2816 .2340 .3338 0.7896 .3419 114.99 3.28
73 Christian Yelich 30 LF MIA 150 728 27 126 26 12.36% 27.88% .1802 .3333 .2552 .3531 0.7885 .3464 118.11 4.58
74 Buster Posey 35 C MIA 125 549 13 62 0 9.47% 17.85% .1497 .3263 .2827 .3553 0.7877 .3429 115.69 2.80
75 Luis Urias 25 SS HOU 155 652 22 78 3 12.88% 24.23% .1873 .3003 .2436 .3554 0.7863 .3436 116.19 3.95
76 Randy Arozarena 27 LF DET 154 725 24 116 15 8.83% 25.93% .1735 .3278 .2571 .3476 0.7782 .3425 115.41 2.93
77 Seth Brown 30 LF WSH 156 655 26 71 4 5.34% 29.47% .2062 .3434 .2646 .3053 0.7761 .3316 107.87 2.01
78 AJ Pollock 34 RF MIL 146 629 23 79 11 5.88% 21.78% .1670 .3294 .2806 .3280 0.7755 .3347 110.00 2.21
79 Michael Conforto 29 RF NYY 155 650 22 90 10 10.15% 24.00% .1667 .3170 .2571 .3513 0.7751 .3411 114.45 2.86
80 Josh Bell 30 1B LAA 159 702 30 85 0 11.68% 20.51% .1967 .2676 .2426 .3348 0.7741 .3364 111.17 1.98
81 Brian Anderson 29 3B NYM 126 518 16 47 2 9.07% 23.94% .1564 .3312 .2665 .3501 0.7730 .3403 113.90 2.14
82 Andrew Vaughn 24 1B MIA 157 683 13 75 0 10.25% 22.69% .1475 .3325 .2642 .3587 0.7704 .3404 113.93 2.08
83 Robbie Grossman 33 RF HOU 151 630 15 75 6 13.49% 20.95% .1471 .3179 .2588 .3632 0.7692 .3408 114.19 2.83
84 J.P. Crawford 27 SS MIL 152 680 10 73 2 7.79% 16.76% .1258 .3429 .2908 .3512 0.7679 .3373 111.80 4.78
85 Wander Franco 21 SS CHC 153 667 14 89 5 8.55% 14.84% .1672 .3006 .2692 .3308 0.7673 .3325 108.52 2.95
86 Akil Baddoo 24 CF BOS 149 670 14 92 23 10.00% 27.31% .1533 .3604 .2658 .3468 0.7659 .3358 110.74 3.32
87 Brandon Nimmo 29 LF TB 144 656 11 90 7 15.70% 20.58% .1080 .3282 .2607 .3918 0.7605 .3437 116.26 3.65
88 Jose Marmolejos 29 1B ARI 158 703 27 85 2 9.82% 23.90% .1811 .2986 .2500 .3281 0.7592 .3304 107.04 1.73
89 Tommy La Stella 33 2B TEX 156 677 17 76 3 8.27% 12.56% .1506 .2896 .2700 .3383 0.7589 .3326 108.55 1.69
90 Lourdes Gurriel Jr. 29 1B SEA 136 578 20 71 8 3.81% 20.07% .1642 .3228 .2823 .3118 0.7583 .3252 103.46 1.72
91 Austin Hays 27 RF NYY 152 623 25 79 2 6.26% 17.50% .1965 .2694 .2531 .3081 0.7576 .3244 102.91 1.75
92 Ramon Laureano 28 RF CHC 145 583 27 81 4 6.35% 26.42% .2057 .2918 .2453 .3058 0.7568 .3256 103.71 2.40
93 Mitch Garver 31 C CWS 128 510 25 76 0 10.78% 30.00% .2165 .2794 .2254 .3143 0.7563 .3277 105.17 1.69
94 Kolten Wong 32 2B SD 148 643 8 90 20 6.07% 17.42% .1194 .3427 .2872 .3475 0.7541 .3315 107.77 3.70
95 Wilmer Flores 31 3B MIL 140 582 23 70 0 8.08% 14.95% .1832 .2613 .2538 .3162 0.7532 .3249 103.26 1.22
96 Jesus Aguilar 32 1B CIN 144 608 26 72 0 10.20% 20.89% .1770 .2708 .2448 .3284 0.7502 .3282 105.50 0.83
97 Avisail Garcia 31 RF PHI 145 589 26 68 5 4.92% 23.60% .1898 .2987 .2573 .3020 0.7491 .3224 101.49 0.70
98 Thairo Estrada 26 2B NYY 131 544 19 76 20 7.35% 20.40% .1670 .2956 .2566 .3247 0.7483 .3255 103.64 2.63
99 Anthony Rizzo 33 1B TB 152 641 25 87 5 9.05% 18.56% .1730 .2614 .2414 .3328 0.7472 .3271 104.77 1.18
100 Francisco Lindor 28 SS WSH 158 666 22 83 10 9.46% 21.62% .1891 .2817 .2419 .3161 0.7471 .3230 101.89 6.02
Note 1: Qualified = 3.1 PA/Game, Current = 502.2 PA
Note 2: wOBA, wRAA, wRC, wRC+ are fantastic stats. They are calcuated using this technique. They don't match OOTP exactly. wRC+ is NOT park-adjusted yet.
Note 3: WAR only includes regular season games, not available on R/L splits or date ranges
Note 4: Position limit requires (10 games * number of seasons) minimum at position. DH limit only applicable for current season.
Note 5: Date range filter only works on current season