Johnny Monell

PosC
B/TL/R
Born1986-03-27
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201630AAA/INTL2 orgs570.271/.333/.44120270—.217/.267/.348
201731INTLPuerto Rico85.221/.286/.3772184—
201832AAALas Vegas 51s218.263/.335/.4073062—.214/.265/.323
Contract
No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
200721 ROKAZL Giants — 9375 18313 15162 34 240380427807 187263 1716 361 63 — — — — — —
200822 ROKAZL Giants — 4842 17701 452 30 4054796431.122 238444 108 489 121 — — — — — —
200923 AAugusta GreenJackets — 333293 802108 33455 41 273356427783 154299 1410 350 81 — — — — — —
201024 AAAFresno Grizzlies — 1715 3110 240 00 200294400694 200273 2412 306 51 — — — — — —
201024 A+San Jose Giants — 472421 11525419 481052 123 273350487837 214322 2210 368 83 — — — — — —
201024 INTLGigantes de Carolina — 6459 12302 4190 00 203254356610 153256 306 268 67 — — — — — —
201125 AARichmond Flying Squirrels — 441386 9624110 48933 03 249336394730 145301 2111 327 61 — — — — — —
201125 INTLPuerto Rico — 7566 18702 9160 10 273360470830 197333 2112 368 135 — — — — — —
201226 AARichmond Flying Squirrels — 374323 8327111 41845 22 257350449799 192309 2211 351 84 — — — — — —
201226 INTLPuerto Rico — 145125 36718 18342 01 288386552938 264337 2312 410 163 — — — — — —
201327 AAAFresno Grizzlies — 481415 11427220 591052 63 275368494862 219319 2212 376 89 — — — — — —
201327 INTLCriollos de Caguas — 129110 27504 14422 20 245341400741 155354 3311 328 108 — — — — — —
201428 AAAAlbuquerque Isotopes — 226206 491214 18401 40 238302364666 126276 188 299 43 — — — — — —
201428 INTLCriollos de Caguas — 128108 28611 17270 10 259360361721 102325 2113 323 105 — — — — — —
201529 MLBNew York Mets — 5248 8200 4130 00 167231208439 42229 258 207 30 -4 +0 -0 +9 +1 0.5
201529 AAALas Vegas 51s — 288256 831607 27392 62 324393469862 145357 149 381 94 — — — — — —
201529 INTLCriollos de Caguas — 147123 33813 22212 41 268388423811 154303 1415 367 135 — — — — — —
201630 AAALas Vegas 51s — 461417 11522119 37763 20 276339470809 194294 168 355 68 — — — — — —
201630 INTLCriollos de Caguas — 109100 25401 6132 00 250306320626 70276 126 284 78 — — — — — —
201731 INTLPuerto Rico — 8577 17602 7160 11 221286377662 156250 198 293 84 — — — — — —
201832 AAALas Vegas 51s — 218194 511713 20521 00 263335407742 144338 249 328 62 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 5248 8200 4130 00 167231208439 42229 258 207 27 -5 +0 -0 +9 +1 0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200721 ROK MLEAZL Giants — 9381 14212 9232 34 173272296568 123212 2510 262 63 — — — — — —
200822 ROK MLEAZL Giants — 4844 13501 272 30 295354477831 182334 154 347 121 — — — — — —
200923 A MLEAugusta GreenJackets — 333304 731806 22605 41 240302359661 118275 187 288 81 — — — — — —
201024 AAA MLEFresno Grizzlies — 1715 3110 250 00 200294400694 200250 2912 243 51 — — — — — —
201024 A+ MLESan Jose Giants — 472435 9921316 341452 123 228287400687 172294 317 291 83 — — — — — —
201125 AA MLERichmond Flying Squirrels — 441404 852017 301163 03 210270317587 106269 267 259 61 — — — — — —
201226 AA MLERichmond Flying Squirrels — 374335 752418 291035 22 224295373669 149285 288 292 84 — — — — — —
201327 AAA MLEFresno Grizzlies — 481429 9622215 451372 63 224300389690 166278 289 300 89 — — — — — —
201428 AAA MLEAlbuquerque Isotopes — 226213 421013 11541 40 197240296536 99244 245 232 43 — — — — — —
201529 MLB MLENew York Mets — 5248 8200 4130 00 167231208439 42229 258 213 30 -4 +0 -0 +9 +1 0.5
201529 AAA MLELas Vegas 51s — 288266 721205 17522 62 271319372691 102313 186 307 94 — — — — — —
201630 AAA MLELas Vegas 51s — 461428 9315113 261013 20 217267348615 131249 226 269 68 — — — — — —
201832 AAA MLELas Vegas 51s — 218201 431412 13681 00 214265323588 109301 316 260 62 — — — — — —
200721 ROK MLEAZL Giants — 9381 14212 9232 34 173272296568 123211 2510 262 63 — — — — — —
200721 ROK RAWAZL Giants — 9375 18313 15162 34 240380427807 187263 1716 361 63 — — — — — —
200822 ROK MLEAZL Giants — 4844 13501 272 30 295354477831 182333 154 347 121 — — — — — —
200822 ROK RAWAZL Giants — 4842 17701 452 30 4054796431.122 238444 108 489 121 — — — — — —
200923 A MLEAugusta GreenJackets — 333304 731806 22605 41 240302359661 118280 187 288 81 — — — — — —
200923 A RAWAugusta GreenJackets — 333293 802108 33455 41 273356427783 154299 1410 350 81 — — — — — —
201024 A+ MLE3 teams — 553509 11324418 401702 123 222281391672 169294 317 289 82 — — — — — —
201024 A+ RAW3 teams — 553495 13029521 541282 123 263338469806 206313 2310 354 82 — — — — — —
201125 AA MLE2 teams — 516474 992418 351363 13 209268314582 105273 267 259 61 — — — — — —
201125 AA RAW2 teams — 516452 11431112 571093 13 252340405745 153305 2111 333 61 — — — — — —
201226 AA MLE2 teams — 519467 10333111 401437 23 221292366658 146289 288 292 84 — — — — — —
201226 AA RAW2 teams — 519448 11934219 591187 23 266360478838 212316 2311 367 84 — — — — — —
201327 AAA MLE2 teams — 610541 12128219 571744 83 224302388690 165288 299 300 89 — — — — — —
201327 AAA RAW2 teams — 610525 14132224 731474 83 269362474836 206325 2412 366 89 — — — — — —
201428 AAA MLE2 teams — 354331 641514 18851 50 193237281518 88244 245 232 43 — — — — — —
201428 AAA RAW2 teams — 354314 771825 35671 50 245323363686 118293 1910 308 43 — — — — — —
201529 AAA MLE3 teams — 487450 1162107 30924 103 258310351661 93308 196 293 84 — — — — — —
201529 AAA RAW3 teams — 487427 12426110 53734 103 290374426800 136329 1511 358 84 — — — — — —
201630 AAA MLE2 teams — 570528 11519116 321255 20 218269348618 131253 226 269 68 — — — — — —
201630 AAA RAW2 teams — 570517 14026120 43895 20 271333441774 170291 168 341 68 — — — — — —
201731 INTL MLEPuerto Rico — 8577 17602 7160 11 221286377662 156250 198 — — — — — — — —
201731 INTL RAWPuerto Rico — 8577 17602 7160 11 221286377662 156250 198 293 84 — — — — — —
201832 AAA MLELas Vegas 51s — 218201 431412 13681 00 214265323588 109306 316 260 62 — — — — — —
201832 AAA RAWLas Vegas 51s — 218194 511713 20521 00 263335407742 144338 249 328 62 — — — — — —
200721 ROK MLEAZL Giants — 9382 14212 9232 34 171272293564 122212 2510 262 63 — — — — — —
200822 ROK MLEAZL Giants — 4844 13501 272 30 295354477831 182334 154 347 121 — — — — — —
200923 A MLEAugusta GreenJackets — 333303 731806 22605 41 241302360662 119275 187 288 81 — — — — — —
201024 A+ MLE3 teams — 553506 11324418 401702 123 223281393675 170292 317 289 82 — — — — — —
201125 AA MLE2 teams — 516473 992418 351363 13 209268315583 106269 267 259 61 — — — — — —
201226 AA MLE2 teams — 519467 10333111 401437 23 221292366658 146285 288 292 84 — — — — — —
201327 AAA MLE2 teams — 610544 12128219 571744 83 222302386688 164278 299 300 89 — — — — — —
201428 AAA MLE2 teams — 354332 641514 18851 50 193237280517 87244 245 232 43 — — — — — —
201529 AAA MLE3 teams — 487450 1162107 30924 103 258310351661 93300 196 293 84 — — — — — —
201630 AAA MLE2 teams — 570528 11519116 321255 20 218269348618 131249 226 269 68 — — — — — —
201832 AAA MLELas Vegas 51s — 218202 431412 13681 00 213265322587 109301 316 260 62 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 5248 8200 4130 00 167231208439 42229 258 207 71 -5 +0 -0 +9 +1 0.5
/ 162G— A+C — 650600 1002500 501620 00 167231208439 42228 258 207 71 -57 +0 -4 +109 +14 6.3
Career— MLE — 43864007 8912091296 305109936 5121 222283352636 130279 257 274 71 -5 +0 -0 +9 +1 0.5
/ 162G— MLE — 650594 13231214 451635 83 222283352634 130280 257 274 71 -57 +0 -4 +109 +14 6.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2018 AAALas Vegas 51s · 218 PAwOBA .324 → .260 (−64)K% 23.9% → 31.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.85%÷0.986×1.290——31.21%
BB% (unintentional) /PA9.17%÷1.039×0.710—×0.9525.97%
HBP% /PA0.46%—×0.980—×0.9520.43%
Singles /BIP21.13%÷0.992×0.900×1.050×0.95219.17%
Doubles /BIP11.97%÷0.918×0.810×1.050×0.95210.56%
Triples /BIP0.70%÷0.959×0.810×1.050×0.9520.59%
Home runs /BIP2.11%÷1.009×0.780—×0.9521.56%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .324 → .260; ISO .144 → .115; BABIP .338 → .301. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAALas Vegas 51s · 461 PAwOBA .347 → .269 (−78)K% 16.5% → 21.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.49%÷0.971×1.290——21.90%
BB% (unintentional) /PA7.81%÷0.962×0.710—×0.9725.60%
HBP% /PA0.65%—×0.980—×0.9720.62%
Singles /BIP21.41%÷0.994×0.900×1.030×0.97219.40%
Doubles /BIP6.45%÷1.128×0.810×1.030×0.9724.64%
Triples /BIP0.29%÷0.980×0.810×1.030×0.9720.24%
Home runs /BIP5.57%÷1.088×0.780—×0.9723.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 99, 2B 126, 3B 96, K 94, BB 92 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .347 → .269; ISO .194 → .133; BABIP .294 → .249. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAALas Vegas 51s · 288 PAwOBA .373 → .307 (−65)K% 13.5% → 17.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.54%÷0.977×1.290——17.87%
BB% (unintentional) /PA8.68%÷1.010×0.710—×0.9825.99%
HBP% /PA0.69%—×0.980—×0.9820.67%
Singles /BIP27.65%÷0.983×0.900×1.017×0.98225.28%
Doubles /BIP7.37%÷1.042×0.810×1.017×0.9825.72%
Triples /BIP0.00%÷1.061×0.810×1.017×0.9820.00%
Home runs /BIP3.23%÷1.099×0.780—×0.9822.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .373 → .307; ISO .145 → .106; BABIP .357 → .313. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAAAlbuquerque Isotopes · 226 PAwOBA .291 → .232 (−59)K% 17.7% → 23.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.70%÷0.955×1.290——23.90%
BB% (unintentional) /PA7.52%÷1.049×0.710—×0.9925.05%
HBP% /PA0.44%—×0.980—×0.9920.43%
Singles /BIP19.28%÷1.008×0.900×1.029×0.99217.57%
Doubles /BIP7.23%÷0.982×0.810×1.029×0.9926.09%
Triples /BIP0.60%÷1.150×0.810×1.029×0.9920.43%
Home runs /BIP2.41%÷1.078×0.780—×0.9921.73%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 102, 2B 96, 3B 130, K 91, BB 110 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .291 → .232; ISO .126 → .094; BABIP .276 → .244. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 AAAFresno Grizzlies · 481 PAwOBA .369 → .300 (−69)K% 21.8% → 28.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.83%÷0.989×1.290——28.46%
BB% (unintentional) /PA11.85%÷0.908×0.710—×1.0039.30%
HBP% /PA0.42%—×0.980—×1.0030.41%
Singles /BIP20.97%÷0.999×0.900×1.005×1.00319.04%
Doubles /BIP8.71%÷0.974×0.810×1.005×1.0037.30%
Triples /BIP0.65%÷0.954×0.810×1.005×1.0030.55%
Home runs /BIP6.45%÷0.994×0.780—×1.0035.08%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 100, 2B 95, 3B 91, K 98, BB 82 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .369 → .300; ISO .219 → .169; BABIP .319 → .278. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AARichmond Flying Squirrels · 374 PAwOBA .346 → .292 (−53)K% 22.5% → 27.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.46%÷0.992×1.220——27.62%
BB% (unintentional) /PA10.70%÷0.950×0.700—×0.9887.79%
HBP% /PA1.34%—×0.850—×0.9881.12%
Singles /BIP18.41%÷1.023×0.970×1.025×0.98817.68%
Doubles /BIP11.30%÷0.979×0.860×1.025×0.98810.05%
Triples /BIP0.42%÷1.011×0.950×1.025×0.9880.40%
Home runs /BIP4.60%÷1.031×0.780—×0.9883.44%

Factors used: league row EL. Park (home-season share, regressed): HR 106, 1B 105, 2B 96, 3B 102, K 98, BB 90 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .346 → .292; ISO .192 → .156; BABIP .309 → .285. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 AARichmond Flying Squirrels · 441 PAwOBA .319 → .259 (−60)K% 21.1% → 26.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.09%÷0.974×1.220——26.41%
BB% (unintentional) /PA10.43%÷1.081×0.700—×0.9986.74%
HBP% /PA0.68%—×0.850—×0.9980.58%
Singles /BIP20.82%÷1.075×0.970×1.031×0.99819.34%
Doubles /BIP8.19%÷1.048×0.860×1.031×0.9986.92%
Triples /BIP0.34%÷1.140×0.950×1.031×0.9980.29%
Home runs /BIP3.41%÷1.081×0.780—×0.9982.46%

Factors used: league row EL. Park (home-season share, regressed): HR 116, 1B 115, 2B 110, 3B 128, K 95, BB 116 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .319 → .259; ISO .145 → .113; BABIP .301 → .269. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2010 A+San Jose Giants · 472 PAwOBA .358 → .291 (−67)K% 22.2% → 30.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.25%÷0.972×1.340——30.66%
BB% (unintentional) /PA9.96%÷0.990×0.710—×0.9887.06%
HBP% /PA0.42%—×0.790—×0.9880.33%
Singles /BIP21.20%÷0.980×0.910×1.029×0.98820.02%
Doubles /BIP7.91%÷0.939×0.820×1.029×0.9887.03%
Triples /BIP1.27%÷1.085×0.760×1.029×0.9880.90%
Home runs /BIP6.01%÷1.016×0.920—×0.9885.38%

Factors used: league row CAL. Park (home-season share, regressed): HR 103, 1B 96, 2B 88, 3B 117, K 94, BB 98 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .358 → .291; ISO .214 → .173; BABIP .322 → .294. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .