Team Stats

Rk Team gp ab h rbi bb k avg obp slg
0.3131768953068592 1 San Mateo 31 1108 347 243 170 215 .313 .421 .432
0.31 2 Skyline 32 1100 341 253 186 182 .310 .425 .455
0.3094606542882405 3 Chabot 32 1131 350 291 184 228 .309 .428 .523
0.3031135531135531 4 Cañada 32 1092 331 219 160 190 .303 .408 .441
0.26282051282051283 5 De Anza 32 1092 287 170 168 239 .263 .373 .372
0.24723618090452262 6 San Francisco 30 995 246 122 119 231 .247 .341 .344
Rk Team gp 2b 3b hr xbh
134.0 1 Chabot 32 71 19 44 134
105.0 2 Cañada 32 79 6 20 105
102.0 3 Skyline 32 63 20 19 102
84.0 4 San Mateo 31 56 8 20 84
80.0 5 De Anza 32 58 5 17 80
66.0 6 San Francisco 30 48 6 12 66
Rk Team gp r tb sb cs
314.0 1 Chabot 32 314 591 98 16
281.0 2 Skyline 32 281 501 85 17
259.0 3 San Mateo 31 259 479 38 7
239.0 4 Cañada 32 239 482 94 22
193.0 5 De Anza 32 193 406 63 11
139.0 6 San Francisco 30 139 342 29 12
Rk Team gp hbp sf sh hdp go fo go/fo pa
1398.0 1 Chabot 32 63 16 4 22 174 332 .52 1398
1384.0 2 Skyline 32 55 29 14 30 278 303 .92 1384
1363.0 3 San Mateo 31 50 18 17 19 250 300 .83 1363
1329.0 4 Cañada 32 43 15 19 25 284 280 1.01 1329
1325.0 5 De Anza 32 33 17 15 16 286 272 1.05 1325
1159.0 6 San Francisco 30 27 10 8 22 281 225 1.25 1159
Rk Team app gs ip h r er era
4.326315789473684 1 Skyline 32 32 285.0 265 174 137 4.33
4.5477031802120145 2 Chabot 32 32 283.0 256 154 143 4.55
4.795620437956204 3 San Mateo 31 31 274.0 265 167 146 4.80
5.432142857142857 4 Cañada 32 32 280.0 268 194 169 5.43
6.539568345323741 5 De Anza 32 32 278.0 335 274 202 6.54
11.464285714285714 6 San Francisco 30 30 252.0 366 376 321 11.46
Rk Team app gs k k/9 hr whip
1.3964912280701753 1 Skyline 32 32 250 7.89 14 1.40
1.437956204379562 2 San Mateo 31 31 209 6.86 15 1.44
1.4464285714285714 3 Cañada 32 32 181 5.82 21 1.45
1.4734982332155477 4 Chabot 32 32 247 7.86 21 1.47
1.841726618705036 5 De Anza 32 32 201 6.51 17 1.84
2.5396825396825395 6 San Francisco 30 30 154 5.50 34 2.54
Rk Team gp tc po a e pb f%
0.9757322175732217 1 Chabot 32 1195 849 317 29 8 .976
0.9707357859531772 2 San Mateo 31 1196 822 339 35 12 .971
0.966693744922827 3 Skyline 32 1231 855 335 41 11 .967
0.9630872483221476 4 Cañada 32 1192 839 309 44 12 .963
0.9467289719626168 5 San Francisco 30 1070 756 257 57 19 .947
0.9415692821368948 6 De Anza 32 1198 834 294 70 9 .942
Rk Team gp dp sba rcs rcs% ci
0.3090909090909091 1 Cañada 32 24 38 17 .309 0
0.24074074074074073 2 Skyline 32 28 41 13 .241 0
0.21739130434782608 3 Chabot 32 31 36 10 .217 0
0.1956521739130435 4 San Mateo 31 25 37 9 .196 0
0.16666666666666666 5 San Francisco 30 22 85 17 .167 0
0.102803738317757 6 De Anza 32 26 96 11 .103 3
Rk Team home games attend avg
163.0 1 Skyline 16 2,600 163
58.0 2 Chabot 19 1,087 58
39.0 3 De Anza 16 621 39
20.0 4 San Francisco 11 210 20
0.0 5 Cañada 18 0 0
0.0 5 San Mateo 17 0 0
Rk Team gp ab h rbi bb k avg obp slg
0.34439834024896265 1 San Mateo 13 482 166 142 101 81 .344 .470 .492
0.30344827586206896 2 Skyline 13 435 132 105 90 64 .303 .442 .460
0.326133909287257 3 Chabot 13 463 151 147 91 73 .326 .461 .596
0.29571106094808125 4 Cañada 13 443 131 97 79 61 .296 .420 .429
0.23113207547169812 5 De Anza 13 424 98 49 76 103 .231 .362 .340
0.2361111111111111 6 San Francisco 13 432 102 43 39 90 .236 .315 .347
Rk Team gp 2b 3b hr xbh
61.0 1 Chabot 13 25 8 28 61
43.0 2 Cañada 13 34 2 7 43
43.0 2 Skyline 13 26 9 8 43
43.0 2 San Mateo 13 27 4 12 43
29.0 5 De Anza 13 20 1 8 29
33.0 6 San Francisco 13 25 1 7 33
Rk Team gp r tb sb cs
161.0 1 Chabot 13 161 276 45 9
119.0 2 Skyline 13 119 200 36 6
151.0 3 San Mateo 13 151 237 16 4
104.0 4 Cañada 13 104 190 29 10
52.0 5 De Anza 13 52 144 20 4
48.0 6 San Francisco 13 48 150 9 3
Rk Team gp hbp sf sh hdp go fo go/fo pa
599.0 1 Chabot 13 33 10 2 8 84 151 .56 599
575.0 2 Skyline 13 29 14 7 12 125 123 1.02 575
629.0 3 San Mateo 13 25 13 8 9 107 132 .81 629
557.0 4 Cañada 13 22 9 4 19 132 118 1.12 557
530.0 5 De Anza 13 15 7 8 5 120 111 1.08 530
490.0 6 San Francisco 13 12 2 5 10 137 104 1.32 490
Rk Team app gs ip h r er era
5.353448275862069 1 Skyline 13 13 116.0 114 78 69 5.35
2.7155172413793105 2 Chabot 13 13 116.0 95 39 35 2.72
5.321739130434783 3 San Mateo 13 13 115.0 111 75 68 5.32
6.473684210526316 4 Cañada 13 13 114.0 116 92 82 6.47
8.276785714285714 5 De Anza 13 13 112.0 157 146 103 8.28
14.756756756756756 6 San Francisco 13 13 111.0 187 205 182 14.76
Rk Team app gs k k/9 hr whip
1.456896551724138 1 Skyline 13 13 100 7.76 8 1.46
1.5304347826086957 2 San Mateo 13 13 95 7.43 6 1.53
1.6228070175438596 3 Cañada 13 13 76 6.00 15 1.62
1.353448275862069 4 Chabot 13 13 98 7.60 4 1.35
2.205357142857143 5 De Anza 13 13 55 4.42 12 2.21
2.900900900900901 6 San Francisco 13 13 48 3.89 25 2.90
Rk Team gp tc po a e pb f%
0.9798792756539235 1 Chabot 13 497 348 139 10 0 .980
0.9783889980353635 2 San Mateo 13 509 345 153 11 0 .978
0.9782608695652174 3 Skyline 13 506 348 147 11 3 .978
0.9642105263157895 4 Cañada 13 475 341 117 17 2 .964
0.9541666666666667 5 San Francisco 13 480 333 125 22 3 .954
0.9278557114228457 6 De Anza 13 499 336 127 36 4 .928
Rk Team gp dp sba rcs rcs% ci
0.26666666666666666 1 Cañada 13 8 22 8 .267 0
0.24 2 Skyline 13 11 19 6 .240 0
0.35294117647058826 3 Chabot 13 13 11 6 .353 0
0.17857142857142858 4 San Mateo 13 8 23 5 .179 0
0.20512820512820512 5 San Francisco 13 12 31 8 .205 0
0.02 6 De Anza 13 11 49 1 .020 1
Rk Team home games attend avg
179.0 1 Skyline 7 1,250 179
62.0 2 Chabot 7 434 62
50.0 3 De Anza 6 300 50
30.0 4 San Francisco 5 147 30
0.0 5 Cañada 6 0 0
0.0 5 San Mateo 7 0 0