Addison Barger

3B Toronto Blue Jays
Age 27 L/R 5'11" / 210 lbs MLB Svc 2.570 · Ctrl thru 2030 ILInjured 60-Day (D60)
Overview
MLBIL-6040-MANPre-ArbFA 2031
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202424AAATOR249.260/.390/.4669499—.230/.329/.392
202424MLBTOR225.197/.250/.3517266-0.6
202525AAATOR45.211/.318/.4212065—.205/.295/.410
202525MLBTOR502.243/.302/.4542141061.6
202626MLBTOR28.045/.222/.091002-0.2
2027PROJ27MLBTOR115.244/.311/.440411090.4
2028PROJ82% MLB28MLBTOR194.242/.309/.435721070.6
2029PROJ82% MLB29MLBTOR202.239/.306/.428811040.4
Last 3 seasons WAR 0.8  ·  Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2030Service2.570First FA2031
2027Pre-Arb$0.8M2028Arb-1$2M2029Arb-2$2M2030Arb-3$3M
Skills · percentileStatcast 2024-2026
Avg EV72
Bat Spd72
Barrel%63
xwOBA57
Speed22
CompsBrad Miller (age 27) · Jason Castro (age 27) · Brennan Boesch (age 27)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 90109vR 116
AVG/OBP/SLG.244 / .311 / .440
PA115
HR4
K%24
BB%8
BABIP288
ISO173
MLB%100%
Value2027 · WAR
BAT: +1.2 runs (wOBA-derived runs vs avg)+1BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.5 runs (Defensive runs vs avg)-0FLDPOS: +0.4 runs (Positional adjustment)+0POSREP: +2.5 runs (Replacement-level credit)+2REPTotal WAR: +0.50+0.5WAR
0.00.51.00.50.60.40.327282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus
Tools · Splits · ContractCON 50 / POW 55
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT50
xAVG
380.242
POWER55
Barrel%
6310.2
Avg EV
7290.6
Bat Spd
7273.7
EYE45
scouting grade only
SPEED55
Sprint
2226.1
Platoon Splits2024-2026 · 748 PA
vs LHP
vs RHP
Edge
PA
126
622
—
wRC+
53
99
▶▶R
wOBA
246
314
▶▶R
ISO
110
206
▶▶R
BABIP
300
259
◀L
K%
34.9%
23.0%
▶▶R
BB%
5.6%
6.6%
▶▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2024
Service   2.570 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+0.5$2M+$1M
2028Arb-1$2M+0.6$2M+$0.8M
2029Arb-2$2M+0.4$1M+$0.0M (cut)
2030Arb-3$3M+0.3$1.0M+$0.0M (cut)
Totals $2M $7M +$2M

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)
201818 ROKGCL Blue Jays — 214180 351023 25388 00 194319322641 128229 1812 298 24 — — — — — —
202121 A+Vancouver Canadians — 1919 3100 060 00 158158211368 53231 320 163 -31 — — — — — —
202121 ADunedin Blue Jays — 374325 8121218 361238 70 249339492831 243333 3310 361 68 — — — — — —
202222 AAABuffalo Bisons — 3631 11103 550 01 3554446771.122 323348 1414 482 163 — — — — — —
202222 AANew Hampshire Fisher Cats — 198176 551109 18503 22 312386528914 216390 259 400 109 — — — — — —
202222 A+Vancouver Canadians — 292260 7821214 25764 72 300370558928 258370 269 400 86 — — — — — —
202222 INTLSalt River Rafters — 6353 10102 8102 21 189317321638 132195 1613 299 88 — — — — — —
202323 AAABuffalo Bisons — 397340 852509 52863 53 250354403757 153308 2213 341 77 — — — — — —
202424 MLBToronto Blue Jays — 225208 411107 14601 20 197250351601 154239 276 267 66 -9 +0 -4 +2 +5 -0.6
202424 AAABuffalo Bisons — 249204 531509 40484 41 260390466855 206299 1916 382 99 — — — — — —
202525 MLBToronto Blue Jays — 502460 11232121 361213 41 243302454756 211284 247 331 106 +4 +0 -1 +2 +11 1.6
202525 AAABuffalo Bisons — 4538 8202 5131 00 211318421739 211250 2911 324 65 — — — — — —
202626 MLBToronto Blue Jays — 2822 1100 570 00 4522291313 4562 2518 170 2 -3 +0 +1 -0 +1 -0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 755690 15444128 551884 61 223284412695 188264 257 306 93 -6 +1 -4 +3 +16 1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201818 ROK MLEGCL Blue Jays — 214190 25712 15558 00 132225211436 79172 267 204 24 — — — — — —
202121 A+ MLEVancouver Canadians — 1919 3100 080 00 158158211368 53214 420 122 -31 — — — — — —
202121 A MLEDunedin Blue Jays — 374334 6315213 271588 70 189266362628 174283 427 268 68 — — — — — —
202222 AAA MLEBuffalo Bisons — 3633 10102 360 01 303361515876 212338 178 409 163 — — — — — —
202222 AA MLENew Hampshire Fisher Cats — 198181 49907 13603 22 271330436766 166361 307 330 109 — — — — — —
202222 A+ MLEVancouver Canadians — 292269 6012211 161024 72 223277405682 182302 355 295 86 — — — — — —
202323 AAA MLEBuffalo Bisons — 397355 772107 371063 53 217296335631 118284 279 282 77 — — — — — —
202424 MLB MLEToronto Blue Jays — 225209 411107 14601 20 196250349599 153239 276 266 66 -9 +0 -4 +2 +5 -0.6
202424 AAA MLEBuffalo Bisons — 249217 501407 28574 41 230329392721 161281 2311 315 99 — — — — — —
202525 MLB MLEToronto Blue Jays — 502465 11232121 321213 41 241294449743 209284 246 325 106 +4 +0 -1 +2 +11 1.6
202525 AAA MLEBuffalo Bisons — 4539 8202 4161 00 205295410706 205218 369 265 65 — — — — — —
202626 MLB MLEToronto Blue Jays — 2822 1100 570 00 4522291313 4562 2518 171 2 -3 +0 +1 -0 +1 -0.2
201818 ROK MLEGCL Blue Jays — 214190 25712 15558 00 132225211436 79172 267 204 24 — — — — — —
201818 ROK RAWGCL Blue Jays — 214180 351023 25388 00 194319322641 128229 1812 298 24 — — — — — —
202121 A MLE2 teams — 393353 6616213 271668 70 187260354614 167296 427 261 63 — — — — — —
202121 A RAW2 teams — 393344 8422218 361298 70 244330477807 233327 339 351 63 — — — — — —
202222 A+ MLE4 teams — 589539 13525223 371889 116 250309432742 182337 326 316 100 — — — — — —
202222 A+ RAW4 teams — 589520 15434228 561419 116 296374531905 235355 2410 394 100 — — — — — —
202323 AAA MLEBuffalo Bisons — 397355 772107 371063 53 217296335631 118287 279 282 77 — — — — — —
202323 AAA RAWBuffalo Bisons — 397340 852509 52863 53 250354403757 153308 2213 341 77 — — — — — —
202424 AAA MLE2 teams — 474426 9125014 421175 61 214292371663 157260 259 292 84 — — — — — —
202424 AAA RAW2 teams — 474412 9426016 541085 61 228323408731 180270 2311 327 84 — — — — — —
202525 MLB MLE2 teams — 547504 11934123 361374 41 236292444737 208277 257 320 103 +2 +0 -1 +2 +12 1.5
202525 MLB RAW2 teams — 547498 12034123 411344 41 241303452755 211282 247 331 103 +2 +0 -1 +2 +12 1.5
202626 MLB MLEToronto Blue Jays — 2822 1100 570 00 4522291313 4562 2518 171 2 -3 +0 +1 -0 +1 -0.2
202626 MLB RAWToronto Blue Jays — 2822 1100 570 00 4522291313 4562 2518 170 2 -3 +0 +1 -0 +1 -0.2
201818 ROK MLEGCL Blue Jays — 214189 25712 15558 00 132225212437 79172 267 204 24 — — — — — —
202121 A MLE2 teams — 393355 6616213 271668 70 186260352612 166280 427 261 63 — — — — — —
202222 A+ MLE4 teams — 589538 13525223 371889 116 251309433742 182327 326 316 100 — — — — — —
202323 AAA MLEBuffalo Bisons — 397354 772107 371063 53 218296336632 119284 279 282 77 — — — — — —
202424 AAA MLE2 teams — 474424 9125014 421175 61 215292373664 158261 259 292 84 — — — — — —
202525 MLB MLE2 teams — 547502 11934123 361374 41 237292446738 209279 257 320 103 — — — — — —
202626 MLB MLEToronto Blue Jays — 2823 1100 570 00 4322287309 4362 2518 171 2 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202424 AAA MLE2 teams — 474424 9125014 421175 61 215292373664 158261 259 292 84 — — — — — —
202525 MLB MLE2 teams — 547502 11934123 361374 41 237292446738 209279 257 320 103 — — — — — —
202626 MLB MLEToronto Blue Jays — 2823 1100 570 00 4322287309 4362 2518 171 2 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202727 MLB MLETOR 100% 277251 6115111 22672 31 244310439749 195287 248 329 109 +3 +0 -1 +1 +6 0.5
▸ 2027 — real world (MLB)
202727 MLB CTXTOR 100% 115104 24604 9281 10 244311440750 195288 248 330 109 +1 +0 -0 +0 +2 0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202828 MLB MLETOR 82% 236213 521319 19582 21 242308434742 193286 258 326 107 +2 +0 -2 +1 +5 0.6
202929 MLB MLETOR 82% 246223 541419 19612 10 239305428733 189284 258 322 104 +1 +0 -2 +1 +5 0.5
203030 MLB MLETOR 82% 254230 541409 20632 10 235301419720 184282 258 317 101 +0 +0 -3 +1 +6 0.4
202828 MLB CTXTOR 82% 194175 421107 15472 20 242309435743 193287 248 327 107 +2 +0 -1 +1 +4 0.6
202929 MLB CTXTOR 82% 202182 441108 16502 10 239306428734 189285 258 323 104 +1 +0 -2 +1 +4 0.4
203030 MLB CTXTOR 82% 208188 441108 16522 00 236301420721 184283 258 318 101 +0 +0 -3 +1 +5 0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 13591235 28477151 10233710 91 230294418711 188273 258 313 87 -3 +1 -10 +6 +29 2.4
/ 162G— A+C — 650591 13537024 491615 40 228293413705 184271 258 313 87 -2 +1 -5 +3 +14 1.1
Career— MLE — 34933159 6981768113 26698644 3812 221291389680 168281 288 297 87 -1 +1 -12 +6 +35 3.0
/ 162G— MLE — 650588 13033121 491838 72 221290388678 167281 288 297 87 -1 +1 -5 +3 +14 1.2

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.

2025 AAABuffalo Bisons · 45 PAwOBA .323 → .265 (−58)K% 28.9% → 35.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.89%÷0.988×1.200——35.09%
BB% (unintentional) /PA11.11%÷0.984×0.690—×1.0187.93%
HBP% /PA2.22%—×0.940—×1.0182.13%
Singles /BIP16.00%÷1.007×0.930—×1.01815.04%
Doubles /BIP8.00%÷1.098×0.830—×1.0186.16%
Triples /BIP0.00%÷0.986×0.970—×1.0180.00%
Home runs /BIP8.00%÷0.847×0.700—×1.0186.73%

Factors used: league row International League. Park (home-season share, regressed): HR 69, 1B 101, 2B 120, 3B 97, K 98, BB 97 — 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).

Result: wOBA .323 → .265; ISO .211 → .171; BABIP .250 → .218. 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).

2024 AAABuffalo Bisons · 249 PAwOBA .372 → .315 (−57)K% 19.3% → 23.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.28%÷1.004×1.200——23.04%
BB% (unintentional) /PA16.06%÷1.028×0.690—×1.03311.14%
HBP% /PA1.61%—×0.940—×1.0331.56%
Singles /BIP18.59%÷0.988×0.930×1.010×1.03318.25%
Doubles /BIP9.62%÷0.959×0.830×1.010×1.0338.68%
Triples /BIP0.00%÷1.150×0.970×1.010×1.0330.00%
Home runs /BIP5.77%÷0.990×0.700—×1.0334.21%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 98, 2B 92, 3B 130, K 101, BB 106 — 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 ×1.010.

Result: wOBA .372 → .315; ISO .206 → .167; BABIP .299 → .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).

2023 AAABuffalo Bisons · 397 PAwOBA .333 → .282 (−51)K% 21.7% → 26.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.66%÷0.973×1.200——26.72%
BB% (unintentional) /PA12.85%÷0.984×0.690—×1.0489.44%
HBP% /PA0.76%—×0.940—×1.0480.74%
Singles /BIP20.08%÷1.018×0.930×1.011×1.04819.43%
Doubles /BIP9.84%÷1.033×0.830×1.011×1.0488.38%
Triples /BIP0.00%÷1.150×0.970×1.011×1.0480.00%
Home runs /BIP3.54%÷0.916×0.700—×1.0482.84%

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 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .333 → .282; ISO .153 → .124; BABIP .308 → .284. 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 A+Vancouver Canadians · 292 PAwOBA .391 → .295 (−96)K% 26.0% → 35.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.03%÷1.003×1.350——35.03%
BB% (unintentional) /PA7.88%÷1.037×0.710—×0.9985.38%
HBP% /PA1.37%—×0.810—×0.9981.11%
Singles /BIP22.28%÷0.950×0.910×0.964×0.99820.53%
Doubles /BIP11.41%÷1.254×0.830×0.964×0.9987.27%
Triples /BIP1.09%÷0.900×0.820×0.964×0.9980.95%
Home runs /BIP7.61%÷0.952×0.830—×0.9986.62%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 90, 2B 151, 3B 80, K 101, BB 107 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .391 → .295; ISO .258 → .191; BABIP .370 → .302. 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 AANew Hampshire Fisher Cats · 198 PAwOBA .390 → .330 (−60)K% 25.3% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.25%÷1.012×1.220——30.43%
BB% (unintentional) /PA8.59%÷0.911×0.700—×1.0276.78%
HBP% /PA1.52%—×0.850—×1.0271.32%
Singles /BIP27.78%÷0.991×0.970×0.977×1.02727.30%
Doubles /BIP8.73%÷1.067×0.860×0.977×1.0277.06%
Triples /BIP0.00%÷0.900×0.950×0.977×1.0270.00%
Home runs /BIP7.14%÷1.027×0.780—×1.0275.57%

Factors used: league row EL. Park (home-season share, regressed): HR 105, 1B 98, 2B 113, 3B 80, K 102, BB 82 — 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 ×0.977.

Result: wOBA .390 → .330; ISO .216 → .164; BABIP .390 → .361. 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 AAABuffalo Bisons · 36 PAwOBA .469 → .409 (−60)K% 13.9% → 16.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.89%÷1.018×1.200——16.37%
BB% (unintentional) /PA13.89%÷1.032×0.690—×1.0509.75%
HBP% /PA0.00%—×0.940—×1.0500.00%
Singles /BIP26.92%÷0.960×0.930—×1.05027.38%
Doubles /BIP3.85%÷0.984×0.830—×1.0503.41%
Triples /BIP0.00%÷1.149×0.970—×1.0500.00%
Home runs /BIP11.54%÷0.951×0.700—×1.0508.91%

Factors used: league row International League. Park (home-season share, regressed): HR 90, 1B 92, 2B 97, 3B 130, K 104, BB 106 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).

Result: wOBA .469 → .409; ISO .323 → .259; BABIP .348 → .338. 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 ADunedin Blue Jays · 374 PAwOBA .355 → .268 (−88)K% 32.9% → 42.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.89%÷1.057×1.360——42.33%
BB% (unintentional) /PA9.63%÷0.941×0.690——7.06%
HBP% /PA2.14%—×0.780——1.67%
Singles /BIP19.80%÷0.959×0.920×0.954—18.13%
Doubles /BIP10.40%÷1.014×0.830×0.954—8.12%
Triples /BIP0.99%÷1.018×0.910×0.954—0.84%
Home runs /BIP8.91%÷1.010×0.800——7.06%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 92, 2B 103, 3B 104, K 111, BB 88 — 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 ×0.954.

Result: wOBA .355 → .268; ISO .243 → .174; BABIP .333 → .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).

2021 A+Vancouver Canadians · 19 PAwOBA .158 → .122 (−36)K% 31.6% → 43.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.58%÷0.991×1.350——43.02%
BB% (unintentional) /PA0.00%÷0.944×0.710—×1.0120.00%
HBP% /PA0.00%—×0.810—×1.0120.00%
Singles /BIP15.38%÷0.974×0.910—×1.01214.55%
Doubles /BIP7.69%÷0.938×0.830—×1.0126.89%
Triples /BIP0.00%÷1.049×0.820—×1.0120.00%
Home runs /BIP0.00%÷0.909×0.830—×1.0120.00%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 95, 2B 88, 3B 110, K 98, BB 89 — 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).

Result: wOBA .158 → .122; ISO .053 → .039; BABIP .231 → .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).

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