WBF Player Stats


Dashboard
Standard
Advanced
Team:
Min PA:
Position
Games
R/L
Status
Timespan
From
to
From
to
Reg Season Batting, all positions, All Teams, 2114 season (Qualified)
# Name AGE Pos Team G PA HR R SB BB% K% ISO BABIP AVG OBP OPS   WOBA WRC+ WAR
1 Dave Ayala 26 SS RIY 155 644 30 92 4 9.47% 14.44% .2582 .3747 .3477 .4099 1.0158 .4213 170.88 7.24
2 Brock Riley 25 LF HAN 137 616 37 104 8 13.31% 14.45% .2909 .3151 .3118 .4075 1.0101 .4197 169.71 5.43
3 Janani Kafele 28 3B DUB 147 655 34 124 29 14.20% 16.34% .2495 .3496 .3224 .4305 1.0025 .4222 171.50 7.96
4 Zhong Lan 26 LF PRA 150 624 41 100 3 14.58% 21.15% .2977 .3258 .2996 .4038 1.0012 .4170 167.81 5.95
5 Asmerom Odhieng 34 CF HAN 141 627 30 113 51 7.50% 11.96% .2500 .3582 .3486 .4003 0.9989 .4175 168.20 7.72
6 Nour Sahere 33 2B TOK 149 638 47 114 17 12.85% 29.15% .3376 .3323 .2774 .3777 0.9927 .4114 163.89 8.15
7 Srdjan Erkocevic 26 1B JAK 155 681 45 98 0 11.01% 13.36% .2764 .3077 .3166 .3906 0.9836 .4078 161.34 4.94
8 Nand Choudhary 30 3B IST 146 656 32 111 15 17.84% 26.37% .2529 .3742 .2915 .4329 0.9773 .4131 165.12 7.03
9 Ahmad Adham 28 1B STO 119 506 22 70 3 6.72% 13.83% .2363 .3656 .3457 .3953 0.9773 .4082 161.67 4.19
10 Albert Ferry 27 1B MOS 155 684 49 104 0 9.65% 28.22% .2876 .3733 .3074 .3807 0.9757 .4058 159.96 5.50
11 Zhorah Shivtsov 28 LF HK 121 545 31 88 10 6.61% 23.12% .2903 .3586 .3105 .3651 0.9659 .3995 155.53 5.49
12 Bodil Didenksen 25 LF SEO 149 658 55 120 19 8.66% 33.89% .3413 .3355 .2716 .3450 0.9579 .3960 153.10 6.92
13 Rajendran Mayekar 27 1B SIN 139 615 46 96 0 14.31% 22.93% .2923 .2938 .2788 .3837 0.9549 .3971 153.88 5.05
14 Miguel Herrera 30 1B LON 154 673 50 96 0 10.40% 23.03% .2903 .3008 .2835 .3655 0.9394 .3875 147.09 4.89
15 Tariku Adelaja 25 SS BOG 153 657 19 93 8 16.59% 8.83% .2123 .3045 .2980 .4216 0.9319 .3969 153.75 5.65
16 Rodolfo Saucedo 24 LF SA 147 643 34 101 32 6.69% 12.60% .2564 .3130 .3128 .3625 0.9317 .3874 147.04 5.91
17 Yaremka Shamurin 26 P MOS 146 622 39 92 1 9.97% 21.22% .2559 .3272 .2998 .3746 0.9304 .3896 148.62 4.25
18 Adelino Versteeg 24 2B MOS 148 636 32 92 16 7.39% 19.65% .2633 .3380 .3064 .3538 0.9235 .3830 143.99 5.89
19 Carl Mullan 26 3B REY 145 604 27 78 0 8.61% 10.76% .2339 .3151 .3149 .3731 0.9219 .3849 145.31 4.41
20 Tho Lam 27 LF LAD 147 655 16 93 12 7.63% 14.35% .2058 .3698 .3316 .3843 0.9217 .3852 145.48 5.86
21 Edwin Zayas 27 2B SAN 114 515 26 86 36 11.65% 15.53% .2477 .3029 .2905 .3821 0.9204 .3870 146.77 5.53
22 Francisco Ramirez 24 CF ROM 150 644 49 101 8 6.52% 22.67% .3014 .2889 .2808 .3339 0.9160 .3777 140.26 6.02
23 Mel Garcia 31 1B BBD 156 658 33 93 2 11.85% 27.81% .2500 .3584 .2804 .3845 0.9149 .3865 146.41 4.15
24 Konstantine Rapoport 22 RF ROM 142 621 27 91 3 15.46% 24.96% .2196 .3587 .2843 .4106 0.9145 .3928 150.82 4.73
25 Sapto Alisjahbana 26 3B SA 147 640 31 99 11 5.63% 19.84% .2205 .3667 .3232 .3672 0.9110 .3837 144.45 5.17
26 Dejan Milosevic 27 1B REY 158 688 48 104 1 8.72% 28.78% .2928 .3161 .2697 .3474 0.9099 .3793 141.35 3.83
27 Edwin Tenorio 26 2B RIY 150 626 30 88 0 2.40% 7.51% .2551 .3011 .3193 .3355 0.9098 .3760 139.07 4.11
28 Hong-quan Ngoc 30 RF HAN 146 620 38 109 33 7.10% 23.39% .2708 .3273 .2903 .3473 0.9084 .3791 141.21 5.58
29 Yogo Nishida 26 1B SAN 152 650 37 96 16 6.92% 7.85% .2349 .2871 .3087 .3600 0.9036 .3783 140.64 3.89
30 Anatole Hagiorgiu 24 1B TOR 144 599 33 78 5 10.35% 18.03% .2613 .2977 .2820 .3589 0.9022 .3781 140.49 3.05
31 Tolenka Ibragimbekov 25 1B BER 154 669 41 94 1 7.62% 21.38% .2483 .3207 .2933 .3587 0.9004 .3775 140.10 4.08
32 Florian Kolonja 27 1B BBD 142 602 40 83 3 9.97% 25.58% .2746 .3121 .2746 .3488 0.8980 .3773 139.97 3.31
33 Vince Vermeule 28 1B BOG 149 613 35 103 25 7.67% 23.82% .2720 .3174 .2777 .3462 0.8959 .3753 138.58 3.70
34 Juma Abasi 32 1B DEL 157 639 48 81 2 10.64% 36.15% .2911 .3369 .2554 .3459 0.8923 .3738 137.50 2.98
35 Adam Martin 27 1B SEO 129 514 21 75 1 8.95% 24.90% .2200 .3672 .2956 .3743 0.8898 .3773 139.99 2.61
36 Sadiq bin Hamdan 29 3B MOS 146 674 9 111 24 10.24% 10.39% .1902 .3417 .3148 .3845 0.8896 .3763 139.25 5.48
37 Igmi bin Kateb 26 LF PRA 149 649 17 96 6 9.86% 13.10% .1791 .3473 .3183 .3883 0.8857 .3784 140.73 3.12
38 Kumsa Langat 27 LF PYO 149 651 34 86 11 8.45% 22.73% .2313 .3406 .2959 .3564 0.8836 .3712 135.68 3.96
39 Baira Varahabhotla 28 LF CAI 152 645 40 102 20 8.53% 14.26% .2675 .2578 .2710 .3442 0.8826 .3701 134.89 3.30
40 Akhilesa Sanghi 28 3B MEL 145 645 16 93 31 3.57% 8.37% .1661 .3536 .3455 .3701 0.8818 .3702 134.97 6.22
41 Leonard Ashotian 33 1B IST 152 637 24 84 1 5.97% 15.23% .2175 .3348 .3099 .3539 0.8813 .3693 134.33 2.86
42 Momsilo Stevic 27 2B NGN 148 665 28 95 0 11.88% 25.11% .2021 .3669 .2936 .3795 0.8752 .3720 136.21 5.38
43 Taito Vihko 25 2B MEX 150 629 16 82 5 2.23% 8.27% .1864 .3421 .3356 .3527 0.8747 .3673 132.96 4.83
44 Fyodor Alabyan 26 C TOK 140 532 31 75 0 13.91% 35.15% .2418 .3713 .2615 .3684 0.8717 .3688 133.99 5.41
45 Yong-su Jung 24 CF JAK 150 669 2 101 47 9.57% 13.15% .1557 .3730 .3215 .3906 0.8678 .3712 135.66 6.92
46 T'ariq bin Jamal 24 RF RIO 149 628 32 84 1 7.32% 18.47% .2308 .3132 .2920 .3439 0.8667 .3621 129.25 3.92
47 Roger Chavez 29 SS NGN 149 646 28 111 12 10.37% 20.12% .2045 .3341 .2920 .3700 0.8665 .3686 133.83 5.24
48 Saed Muthomi 24 CF MAR 128 527 14 78 9 8.16% 17.84% .1948 .3511 .3009 .3702 0.8658 .3665 132.38 2.35
49 Julian Baird 23 3B SIN 114 512 18 79 0 7.81% 13.28% .1909 .3236 .3037 .3691 0.8637 .3677 133.19 3.94
50 Benito Arenas 31 1B ETH 153 649 42 87 2 10.48% 18.49% .2465 .2694 .2675 .3493 0.8633 .3639 130.58 3.45
51 Draza Celebic 26 LF STO 158 660 33 94 23 5.91% 19.70% .2611 .3011 .2791 .3212 0.8614 .3508 121.37 3.31
52 Benjamin Lucas 26 1B CUS 151 676 9 87 22 8.43% 11.69% .1618 .3550 .3186 .3804 0.8608 .3675 133.08 3.69
53 Baber Ansari 25 1B ROM 147 622 32 81 1 11.74% 26.37% .2407 .3178 .2631 .3549 0.8587 .3636 130.34 3.18
54 Harb Rashid 29 RF BOG 153 637 37 94 1 10.20% 28.57% .2606 .3141 .2589 .3386 0.8581 .3613 128.69 2.26
55 Sam Read 27 LF HAV 143 590 26 79 7 11.19% 19.83% .2060 .3137 .2760 .3748 0.8568 .3691 134.21 3.06
56 Abbudin Abdul-Muhaimin 27 RF DUB 148 633 25 74 1 6.95% 16.90% .1852 .3437 .3087 .3623 0.8563 .3644 130.91 3.69
57 Erhard Krohn 27 SS SA 147 660 8 95 37 13.03% 15.45% .1664 .3515 .2991 .3908 0.8563 .3660 132.01 6.17
58 Wamochia Ambokile 27 RF REY 140 550 16 75 9 6.55% 16.73% .2071 .3375 .2978 .3473 0.8523 .3597 127.60 3.85
59 Thomas Kokotis 26 RF MAR 156 638 32 82 5 5.96% 16.30% .2185 .3115 .2941 .3386 0.8512 .3572 125.82 1.53
60 Brent Lemmens 31 LF SIN 146 642 31 99 0 10.28% 16.04% .2295 .2815 .2740 .3474 0.8510 .3589 127.04 3.49
61 Boris Nenahov 28 LF BAR 151 649 40 81 4 7.55% 23.88% .2466 .2970 .2688 .3344 0.8498 .3577 126.19 2.03
62 Kawika Hanale 31 1B DUB 161 719 26 99 7 14.46% 17.25% .2198 .2848 .2595 .3700 0.8493 .3630 129.95 3.20
63 Marcos Moreno 25 1B BAN 161 668 12 90 25 4.79% 13.32% .1897 .3435 .3087 .3498 0.8482 .3546 124.02 2.41
64 Rafael Leon Jr. 28 1B NGN 145 637 29 83 0 12.87% 26.37% .2235 .3179 .2588 .3658 0.8481 .3608 128.40 2.88
65 Gavril Galevsky 33 1B LAD 135 508 16 41 0 6.89% 12.40% .1763 .3199 .3013 .3693 0.8469 .3616 128.92 2.39
66 Brandon Stewart 28 LF STO 160 677 32 86 2 8.12% 22.45% .1966 .3301 .2824 .3678 0.8468 .3635 130.26 2.25
67 Faruq Ghazali 34 1B HAV 162 715 33 101 4 11.33% 20.42% .2078 .3037 .2695 .3692 0.8465 .3646 131.07 2.36
68 Kamo Velijanian 29 LF PAR 157 674 17 95 44 7.72% 20.03% .1826 .3617 .3010 .3602 0.8438 .3595 127.49 3.80
69 Mircea Halici 25 LF JAK 130 523 25 72 1 9.18% 16.63% .2275 .2829 .2704 .3429 0.8408 .3558 124.86 2.78
70 Milo Brkic 27 SS HAN 129 547 36 85 24 2.93% 33.09% .2805 .3300 .2631 .2967 0.8402 .3492 120.25 5.33
71 Yasser bin Kalil 28 C RIY 140 547 27 79 0 20.84% 27.42% .2212 .2731 .2235 .3949 0.8396 .3658 131.91 4.68
72 Abruri Mtima 27 1B HAN 150 653 35 80 0 10.11% 20.37% .2259 .2833 .2627 .3507 0.8393 .3567 125.50 3.41
73 Vlad Aldoshin 25 RF BBD 126 525 42 73 7 10.86% 33.52% .2857 .2661 .2338 .3181 0.8376 .3512 121.67 2.28
74 Husen Mutitu 24 CF BAT 152 627 28 94 32 5.42% 19.78% .2236 .3198 .2852 .3284 0.8372 .3507 121.29 4.92
75 Rafael Balgera 27 SS IST 144 664 28 110 32 10.54% 15.81% .2129 .2888 .2726 .3514 0.8370 .3519 122.14 5.57
76 Timur Antipov 25 LF SAN 143 586 27 86 12 6.83% 28.16% .2129 .3580 .2814 .3425 0.8368 .3551 124.38 3.99
77 Jeman Chidamber 25 3B BAR 148 652 30 70 4 5.52% 19.02% .1967 .3282 .2983 .3380 0.8330 .3518 122.06 4.39
78 Manny Gurrola 28 3B STO 116 507 4 70 33 9.66% 11.24% .1393 .3479 .3124 .3812 0.8329 .3576 126.10 3.11
79 Alan Khalifa 32 LF TOK 159 635 22 90 1 9.45% 17.01% .1886 .3149 .2829 .3606 0.8322 .3528 122.73 1.00
80 Stéphane Perrier 27 3B BOG 150 593 32 70 1 5.90% 22.43% .2380 .3018 .2712 .3214 0.8307 .3493 120.30 2.98
81 Darren Kyle 33 1B DUB 144 605 27 83 1 14.88% 26.12% .2308 .2910 .2387 .3603 0.8298 .3568 125.54 2.02
82 Jesus Cortes 34 LF MAR 137 532 19 68 12 6.77% 15.23% .1934 .3136 .2901 .3459 0.8294 .3516 121.90 1.41
83 Atamas Visvanathan 25 RF DBI 153 635 20 87 32 10.08% 22.36% .2011 .3317 .2740 .3512 0.8263 .3519 122.13 5.02
84 Abizar Ernalia 25 2B BAR 144 567 33 72 0 6.70% 32.63% .2366 .3485 .2672 .3210 0.8248 .3476 119.14 0.83
85 Oliver Scott 26 2B LON 150 632 19 73 7 4.59% 10.13% .1633 .3236 .3131 .3465 0.8229 .3491 120.15 3.96
86 Baha bin Yasar 25 CF SEO 149 656 18 102 37 7.77% 20.73% .1880 .3467 .2895 .3445 0.8220 .3495 120.43 5.45
87 Kalea Tunui 29 SS TEH 147 619 18 80 5 6.30% 21.16% .1758 .3597 .2984 .3475 0.8218 .3503 121.02 2.69
88 He Koh 28 3B LON 133 523 20 57 1 5.35% 20.65% .1828 .3484 .3004 .3386 0.8217 .3483 119.56 2.51
89 Basil bin Nuri 27 3B DBI 148 612 14 62 0 11.27% 19.28% .1404 .3568 .2960 .3839 0.8203 .3575 126.05 3.83
90 Chae-bong Jun 25 CF MEL 146 596 13 75 33 4.19% 17.45% .1486 .3730 .3188 .3527 0.8201 .3486 119.79 4.09
91 Javier Martinez 27 3B HAV 153 590 27 62 0 10.68% 32.88% .2084 .3675 .2639 .3452 0.8175 .3471 118.76 3.38
92 Ricky Lopez 32 1B PRA 149 584 34 84 5 9.42% 28.25% .2475 .2765 .2376 .3322 0.8173 .3463 118.18 2.40
93 Belay Kopano 28 LF REY 126 512 15 90 31 4.49% 16.41% .1824 .3333 .2977 .3360 0.8160 .3458 117.84 2.94
94 Ryuji Sakamoto 27 CF PYO 118 538 10 77 11 6.88% 10.97% .1704 .3208 .2961 .3490 0.8155 .3485 119.75 3.89
95 Abdul-Mu'izz Kamal 26 RF CUS 145 632 12 94 24 3.80% 17.09% .1748 .3536 .3042 .3360 0.8150 .3453 117.48 4.58
96 Maternus Myers 25 3B RIO 146 603 19 67 0 7.13% 16.09% .1676 .3257 .2933 .3505 0.8113 .3479 119.33 2.69
97 Azhar bin Walid 30 LF BBD 147 616 33 75 7 10.55% 31.49% .2413 .3082 .2413 .3279 0.8104 .3438 116.43 2.29
98 Armando Lizano 26 LF SEO 135 577 17 70 6 10.40% 22.18% .1724 .3419 .2779 .3601 0.8104 .3496 120.48 3.28
99 Jermão Felcio 24 2B BOG 132 529 25 76 0 11.34% 28.17% .2082 .3254 .2597 .3422 0.8100 .3436 116.28 2.44
100 Juan Medrano 28 CF MEX 153 623 24 95 39 6.10% 15.73% .1976 .3035 .2825 .3296 0.8097 .3387 112.89 4.58
Note 1: Qualified = 3.1 PA/Game, Current = 502 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