Ernie Clement

2B Toronto Blue Jays
Age 31 R/R 6'0" / 170 lbs MLB Svc 4.977 · Ctrl thru 2028
Overview
MLB40-MANArb-2FA 2029
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202428MLBTOR452.263/.286/.4081212901.5
202529MLBTOR588.277/.316/.39896962.3
202630MLBTOR621.259/.288/.36497810.2
2027PROJ31MLBTOR475.255/.288/.36377810.4
2028PROJ32MLBTOR453.248/.280/.3476374-0.4
Last 3 seasons WAR 4.0  ·  Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2028Service4.977First FA2029
2027Arb-2$2M2028Arb-3$2M
Skills · percentileStatcast 2024-2026
Speed66
xwOBA23
Barrel%10
Avg EV10
Bat Spd10
Form.246/.279/.333 ▼ rolling true talent (60d window) · proj .254/.284/.362
CompsLuis Ordaz (age 31) · Roque Sanchez (age 31) · Joaquin Arias (age 30)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 8781vR 63
AVG/OBP/SLG.255 / .288 / .363
PA475
HR7
SB7
K%10
BB%4
BABIP270
ISO104
MLB%100%
Value2027 · WAR
BAT: -10.8 runs (wOBA-derived runs vs avg)-11BATRUN: +1.6 runs (SB/CS + UBR baserunning)+2RUNFLD: +1.6 runs (Defensive runs vs avg)+2FLDPOS: +1.7 runs (Positional adjustment)+2POSREP: +10.3 runs (Replacement-level credit)+10REPTotal WAR: +0.70+0.7WAR
0.00.51.00.70.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus
Tools · Recent Form · Splits · ContractCON 55 / POW 35
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT55
xAVG
480.250
POWER35
Barrel%
102.6
Avg EV
1085.4
Bat Spd
1066.8
EYE30
scouting grade only
SPEED60
Sprint
6628.1
Recent Formrolling true talent ⓘ
K%8%▲▲7% over 91 PA (60d) · proj 10%
BB%4%·4% over 91 PA (60d) · proj 4%
ISO.087▼.047 over 85 AB (60d) · proj .108
HR/BB1.0%▼0.0% over 81 BBE (60d) · proj 1.8%
BABIP.258▼.148 over 81 BIP (60d) · proj .269
SLASH.246/.279/.333▼proj .254/.284/.362
Platoon Splits2024-2026 · 1149 PA
vs LHP
vs RHP
Edge
PA
357
792
—
wRC+
112
88
◀◀L
wOBA
334
299
◀L
ISO
184
105
◀◀L
BABIP
295
287
—
K%
9.2%
9.7%
◀L
BB%
2.5%
3.5%
▶▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2021
Service   4.977 yrs.days
Team Control Through   2028
First FA Year   2029
YearStatusSalary Proj WAR Value Surplus
2027Arb-2$2M+0.7$3M+$0.4M
2028Arb-3$2M———
Totals $2M $1M +$0.4M

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.

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)
201822 AAAkron RubberDucks — 6865 16510 370 21 246279354633 108276 104 282 74 — — — — — —
201822 A+Lynchburg Hillcats — 156133 46701 1574 53 346428421849 75357 410 377 111 — — — — — —
201822 ALake County Captains — 247221 591411 23211 116 267339353692 86290 99 313 70 — — — — — —
201923 AAAkron RubberDucks — 437394 1031531 26337 1610 261319322641 61279 86 287 63 — — — — — —
201923 INTLMesa Solar Sox — 7466 20210 6131 11 303370364733 61370 188 331 110 — — — — — —
202125 MLBCleveland Indians — 133121 28403 7192 01 231285339623 107253 145 276 73 -4 -0 +3 +1 +3 0.2
202125 AAAColumbus Clippers — 138124 311211 9220 21 250301387688 137288 167 295 73 — — — — — —
202226 MLBOakland Athletics — 179163 30400 11262 01 184244209453 25217 156 211 29 -15 -0 +1 +1 +4 -1.0
202226 AAAColumbus Clippers — 8780 19214 680 00 237291438728 200221 97 317 69 — — — — — —
202327 MLBToronto Blue Jays — 5250 19111 140 10 380392500892 120391 82 388 147 +3 +0 +1 +4 +1 0.9
202327 AAABuffalo Bisons — 320287 10021111 26161 122 348404544948 195338 58 409 113 — — — — — —
202428 MLBToronto Blue Jays — 452434 11421312 11413 123 263286408694 145266 92 304 90 -5 +1 +7 +2 +10 1.5
202529 MLBToronto Blue Jays — 588545 1513529 27614 65 277316398714 121296 105 312 96 -3 -1 +11 +2 +13 2.3
202630 MLBToronto Blue Jays — 621590 1533319 22582 71 259288364653 105272 94 288 81 -14 +1 -0 +2 +13 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 20251903 49598734 7920913 2611 260294373667 112275 104 294 85 -36 +1 +22 +12 +44 4.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201822 AA MLEAkron RubberDucks — 6866 17510 280 21 258279364643 106293 123 278 74 — — — — — —
201822 A+ MLELynchburg Hillcats — 156139 45601 9104 53 324382388770 65325 66 332 111 — — — — — —
201822 A MLELake County Captains — 247229 571211 15291 116 249298323621 74274 126 271 70 — — — — — —
201923 AA MLEAkron RubberDucks — 437402 991431 18407 1610 246290303594 57261 94 262 63 — — — — — —
202125 MLB MLECleveland Indians — 133121 28403 7192 01 231285339623 107253 145 275 73 -4 -0 +3 +1 +3 0.2
202125 AAA MLEColumbus Clippers — 138127 311111 6260 21 244278370648 126281 194 276 73 — — — — — —
202226 MLB MLEOakland Athletics — 179163 30400 11262 01 184244209453 25217 156 211 29 -15 -0 +1 +1 +4 -1.0
202226 AAA MLEColumbus Clippers — 8781 18213 590 00 222267383650 160214 106 270 69 — — — — — —
202327 MLB MLEToronto Blue Jays — 5250 19111 140 10 380392500892 120391 82 385 147 +3 +0 +1 +4 +1 0.9
202327 AAA MLEBuffalo Bisons — 320295 871719 18201 122 295338451788 156283 66 335 113 — — — — — —
202428 MLB MLEToronto Blue Jays — 452435 11421312 10413 123 262283407690 145266 92 301 90 -5 +1 +7 +2 +10 1.5
202529 MLB MLEToronto Blue Jays — 588546 1503529 26614 65 275312396708 121296 104 311 96 -3 -1 +11 +2 +13 2.3
202630 MLB MLEToronto Blue Jays — 621590 1523319 22582 71 258287363649 105272 94 288 81 -14 +1 -0 +2 +13 0.2
201822 A MLE3 teams — 471434 1182322 26475 1810 272320348668 76300 106 292 84 — — — — — —
201822 A RAW3 teams — 471419 1212622 41355 1810 289359375734 86310 79 330 84 — — — — — —
201923 AA MLE2 teams — 511471 1161641 21478 1711 246290304594 57267 94 262 63 — — — — — —
201923 AA RAW2 teams — 511460 1231741 32468 1711 267326328654 61290 96 293 63 — — — — — —
202125 AAA MLE2 teams — 271248 591514 13452 22 238281355636 117272 175 276 73 — — — — — —
202125 AAA RAW2 teams — 271245 591614 16412 22 241293363656 122271 156 286 73 — — — — — —
202226 MLB MLE2 teams — 266244 48613 16352 01 197252266518 70217 136 230 42 -18 -0 +1 +1 +6 -1.1
202226 MLB RAW2 teams — 266243 49614 17342 01 202260284543 82218 136 246 42 -18 -0 +1 +1 +6 -1.1
202327 AAA MLE2 teams — 372345 10618210 19241 132 307345458803 151305 65 342 118 — — — — — —
202327 AAA RAW2 teams — 372337 11922212 27201 132 353403537940 184346 57 406 118 — — — — — —
202428 MLB MLEToronto Blue Jays — 452435 11421312 10413 123 262283407690 145266 92 301 90 -5 +1 +7 +2 +10 1.5
202428 MLB RAWToronto Blue Jays — 452434 11421312 11413 123 263286408694 145266 92 304 90 -5 +1 +7 +2 +10 1.5
202529 MLB MLEToronto Blue Jays — 588546 1503529 26614 65 275312396708 121293 104 311 96 -3 -1 +11 +2 +13 2.3
202529 MLB RAWToronto Blue Jays — 588545 1513529 27614 65 277316398714 121296 105 312 96 -3 -1 +11 +2 +13 2.3
202630 MLB MLEToronto Blue Jays — 621590 1523319 22582 71 258287363649 105270 94 288 81 -14 +1 -0 +2 +13 0.2
202630 MLB RAWToronto Blue Jays — 621590 1533319 22582 71 259288364653 105272 94 288 81 -14 +1 -0 +2 +13 0.2
201822 A MLE3 teams — 471437 1182322 26475 1810 270320346666 76294 106 292 84 — — — — — —
201923 AA MLE2 teams — 511477 1161641 21478 1711 243290300590 57261 94 262 63 — — — — — —
202125 AAA MLE2 teams — 271254 591514 13452 22 232281346628 114267 175 276 73 — — — — — —
202226 MLB MLE2 teams — 266246 48613 16352 01 195252264516 69216 136 230 42 — — — — — —
202327 AAA MLE2 teams — 372349 10618210 19241 132 304345453798 149298 65 342 118 — — — — — —
202428 MLB MLEToronto Blue Jays — 452436 11421312 10413 123 261283406689 144266 92 301 90 — — — — — —
202529 MLB MLEToronto Blue Jays — 588553 1503529 26614 65 271312391703 119296 104 311 96 — — — — — —
202630 MLB MLEToronto Blue Jays — 621592 1523319 22582 71 257287361648 105272 94 288 81 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202428 MLB MLEToronto Blue Jays — 452436 11421312 10413 123 261283406689 144266 92 301 90 — — — — — —
202529 MLB MLEToronto Blue Jays — 588553 1503529 26614 65 271312391703 119296 104 311 96 — — — — — —
202630 MLB MLEToronto Blue Jays — 621592 1523319 22582 71 257287361648 105272 94 288 81 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202731 MLB MLETOR 100% 546517 1312728 21563 82 254287362649 108269 104 288 81 -12 +1 +2 +2 +12 0.7
▸ 2027 — real world (MLB)
202731 MLB CTXTOR 100% 475452 1142417 18492 72 255288363650 108270 104 288 81 -11 +1 +2 +2 +10 0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202832 MLB MLETOR 100% 453431 1062216 17492 31 247279347625 99264 114 278 74 -14 +0 -2 +2 +10 -0.4
202832 MLB CTXTOR 100% 453431 1072216 17492 31 248280347627 99265 114 279 74 -14 +0 -2 +2 +10 -0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 24782334 602120840 9625815 2912 258292368659 110274 104 291 82 -50 +1 +20 +13 +54 3.9
/ 162G— A+C — 650612 15731210 25684 83 257290363653 106273 104 291 82 -13 +0 +5 +4 +14 1.0
Career— MLE — 44804196 10832131863 18845631 8538 258295362657 104275 104 289 82 -61 +2 +22 +15 +64 4.3
/ 162G— MLE — 650609 1573139 27664 126 258293363656 105275 104 289 82 -13 +0 +5 +3 +14 0.9

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.

2023 AAABuffalo Bisons · 320 PAwOBA .402 → .335 (−67)K% 5.0% → 6.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA5.00%÷0.973×1.200——6.17%
BB% (unintentional) /PA8.12%÷0.984×0.690—×1.0035.72%
HBP% /PA0.31%—×0.940—×1.0030.29%
Singles /BIP24.72%÷1.018×0.930×0.950×1.00321.52%
Doubles /BIP7.75%÷1.033×0.830×0.950×1.0035.94%
Triples /BIP0.37%÷1.150×0.970×0.950×1.0030.30%
Home runs /BIP4.06%÷0.916×0.700—×1.0033.11%

Factors used: league row International League. Park (home-season share, regressed): HR 83, 1B 104, 2B 107, 3B 130, K 95, BB 97 — 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 ×0.950.

Result: wOBA .402 → .335; ISO .195 → .155; BABIP .338 → .283. 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).

2022 AAAColumbus Clippers · 87 PAwOBA .308 → .270 (−37)K% 9.2% → 10.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.20%÷1.036×1.200——10.66%
BB% (unintentional) /PA6.90%÷0.930×0.690—×1.0185.21%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP16.67%÷0.941×0.930×0.999×1.01816.76%
Doubles /BIP2.78%÷1.040×0.830×0.999×1.0182.25%
Triples /BIP1.39%÷0.900×0.970×0.999×1.0181.52%
Home runs /BIP5.56%÷1.001×0.700—×1.0183.96%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 88, 2B 108, 3B 80, K 107, BB 86 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .308 → .270; ISO .200 → .157; BABIP .221 → .214. 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).

2021 AAAColumbus Clippers · 138 PAwOBA .294 → .276 (−18)K% 15.9% → 19.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.94%÷1.002×1.200——19.09%
BB% (unintentional) /PA6.52%÷1.008×0.690—×1.0334.61%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP16.67%÷0.949×0.930×1.005×1.03316.95%
Doubles /BIP11.76%÷0.949×0.830×1.005×1.03310.68%
Triples /BIP0.98%÷0.900×0.920×1.005×1.0331.04%
Home runs /BIP0.98%÷1.034×0.700—×1.0330.69%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 90, 2B 90, 3B 80, K 100, BB 102 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .294 → .276; ISO .137 → .126; BABIP .288 → .281. 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).

2019 AAAkron RubberDucks · 437 PAwOBA .284 → .262 (−21)K% 7.6% → 9.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA7.55%÷1.003×1.220——9.19%
BB% (unintentional) /PA5.95%÷1.019×0.700—×1.0274.20%
HBP% /PA1.60%—×0.850—×1.0271.40%
Singles /BIP23.27%÷1.008×0.970×0.950×1.02721.85%
Doubles /BIP4.16%÷0.925×0.860×0.950×1.0273.77%
Triples /BIP0.83%÷0.900×0.950×0.950×1.0270.86%
Home runs /BIP0.28%÷0.863×0.780—×1.0270.26%

Factors used: league row EL. Park (home-season share, regressed): HR 73, 1B 102, 2B 85, 3B 80, K 101, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .284 → .262; ISO .061 → .059; BABIP .279 → .261. 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).

2018 ALake County Captains · 247 PAwOBA .305 → .271 (−34)K% 8.5% → 11.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.50%÷0.988×1.360——11.70%
BB% (unintentional) /PA8.91%÷0.993×0.690——6.19%
HBP% /PA0.40%—×0.780——0.32%
Singles /BIP21.50%÷0.954×0.920×1.022—21.19%
Doubles /BIP7.00%÷1.031×0.830×1.022—5.76%
Triples /BIP0.50%÷0.928×0.910×1.022—0.50%
Home runs /BIP0.50%÷1.078×0.800——0.37%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 91, 2B 106, 3B 86, K 98, BB 99 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .305 → .271; ISO .086 → .072; BABIP .290 → .274. 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).

2018 A+Lynchburg Hillcats · 156 PAwOBA .368 → .332 (−36)K% 4.5% → 6.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA4.49%÷1.047×1.420——6.08%
BB% (unintentional) /PA8.97%÷1.025×0.630—×1.0125.58%
HBP% /PA2.56%—×0.860—×1.0122.23%
Singles /BIP30.16%÷1.044×0.940×1.020×1.01228.01%
Doubles /BIP5.56%÷1.054×0.830×1.020×1.0124.52%
Triples /BIP0.00%÷1.150×0.800×1.020×1.0120.00%
Home runs /BIP0.79%÷0.967×0.900—×1.0120.75%

Factors used: league row CAR. Park (home-season share, regressed): HR 93, 1B 109, 2B 111, 3B 130, K 110, BB 105 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .368 → .332; ISO .075 → .068; BABIP .357 → .325. 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).

2018 AAAkron RubberDucks · 68 PAwOBA .274 → .278 (+4)K% 10.3% → 12.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.29%÷1.004×1.220——12.51%
BB% (unintentional) /PA4.41%÷0.941×0.700—×1.0423.42%
HBP% /PA0.00%—×0.850—×1.0420.00%
Singles /BIP17.24%÷0.968×0.970×1.044×1.04218.78%
Doubles /BIP8.62%÷0.922×0.860×1.044×1.0428.75%
Triples /BIP1.72%÷0.980×0.950×1.044×1.0421.82%
Home runs /BIP0.00%÷0.840×0.780—×1.0420.00%

Factors used: league row EL. Park (home-season share, regressed): HR 68, 1B 94, 2B 84, 3B 96, K 101, BB 88 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .274 → .278; ISO .108 → .109; BABIP .276 → .293. 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 — .