Leo Jiménez

2B Miami Marlins

Age 26 R/R 5'10" / 215 lbs MLB HR -10%H -3% Svc 1.417 · Ctrl thru 2031

Overview

MLBPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	23	AAATOR	226	.271/.416/.431	7	3	116	—	.258/.376/.379
2024	23	MLBTOR	210	.229/.333/.358	4	0	99	0.8
2025	24	AAA/ATOR	97	.288/.406/.362	0	0	89	—	.241/.334/.289
2025	24	MLBTOR	32	.069/.129/.172	1	0	-21	-0.3
2026	25	MLBMIA	194	.199/.307/.259	2	1	72	-0.2
2027PROJ	26	MLBMIA	195	.220/.320/.328	4	2	94	0.4
2028PROJ82% MLB	27	MLBMIA	194	.219/.319/.326	4	2	93	0.4
2029PROJ82% MLB	28	MLBMIA	214	.217/.317/.321	4	1	91	0.3

Last 3 seasons WAR 0.3 · Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.417First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$1M2030Arb-2$2M2031Arb-3$2M

Skills · percentileStatcast 2024-2026

Speed63

xwOBA50

Avg EV48

Bat Spd48

Barrel%35

CompsJ.R. Towles (age 26) · Andrew Knizner (age 26) · Ryan Lavarnway (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9794vR 84

AVG/OBP/SLG.220 / .320 / .328

PA195

HR4

K%21

BB%9

BABIP267

ISO107

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$6M ctrl surplus

Tools · Splits · ContractCON 45 / POW 50

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

xAVG

240.230

POWER50

Barrel%

356.3

Avg EV

4889.0

Bat Spd

4871.1

EYE50

scouting grade only

SPEED45

Sprint

6328.0

Platoon Splits2024-2025 · 231 PA

vs LHP

vs RHP

Edge

149

—

wRC+

105

◀◀L

wOBA

323

290

◀L

ISO

155

118

◀◀L

BABIP

369

258

◀◀L

34.1%

24.8%

▶▶R

BB%

7.3%

5.4%

◀◀L

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2024

Service 1.417 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2028	Pre-Arb	$0.8M	+0.4	$1M	+$0.8M
2029	Arb-1	$1M	+0.3	$1M	+$0.0M (cut)
2030	Arb-2	$2M	+0.2	$0.6M	+$0.0M (cut)
2031	Arb-3	$2M	+0.1	$0.3M	+$0.0M (cut)
Totals		$2M		$5M	+$2M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis 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.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2018	17	ROK	GCL Blue Jays	—	150	132	33	8	2	0	16	17	1	0	0	250	336	341	676	91	284	11	11	308	37	—	—	—	—	—	—
2021	20	A	Dunedin Blue Jays	—	242	168	53	8	0	1	51	35	21	4	1	315	521	381	902	65	388	14	21	426	139	—	—	—	—	—	—
2021	20	ROK	FCL Blue Jays	—	20	13	5	2	0	0	3	1	4	1	0	385	600	538	1.138	154	417	5	15	516	153	—	—	—	—	—	—
2021	20	INTL	Mesa Solar Sox	—	51	38	9	4	0	0	8	8	4	1	0	237	420	342	762	105	290	16	16	357	127	—	—	—	—	—	—
2022	21	A+	Vancouver Canadians	—	294	244	56	14	3	6	27	58	17	7	3	230	347	385	732	156	269	20	9	328	65	—	—	—	—	—	—
2023	22	AAA	Buffalo Bisons	—	77	63	12	3	0	0	9	15	5	0	0	190	338	238	576	48	250	19	12	285	55	—	—	—	—	—	—
2023	22	AA	New Hampshire Fisher Cats	—	333	289	83	15	2	8	32	53	9	8	2	287	376	436	812	149	325	16	10	362	99	—	—	—	—	—	—
2024	23	MLB	Toronto Blue Jays	—	210	179	41	11	0	4	12	59	16	0	0	229	333	358	691	128	311	28	6	315	99	-0	+0	-1	+5	+5	0.8
2024	23	AAA	Buffalo Bisons	—	226	181	49	8	0	7	30	34	15	3	1	271	416	431	847	160	300	15	13	387	116	—	—	—	—	—	—
2025	24	MLB	Toronto Blue Jays	—	32	29	2	0	0	1	2	8	0	0	0	69	129	172	301	103	50	25	6	137	-21	-5	+0	+0	+0	+1	-0.3
2025	24	AAA	Buffalo Bisons	—	71	56	17	4	0	0	11	13	3	0	1	304	443	375	818	71	386	18	15	377	110	—	—	—	—	—	—
2025	24	A	Dunedin Blue Jays	—	26	24	6	2	0	0	2	5	0	0	0	250	308	333	641	83	316	19	8	292	33	—	—	—	—	—	—
2026	25	MLB	Miami Marlins	—	194	166	33	4	0	2	18	38	8	1	0	199	307	259	566	60	244	20	9	269	72	-6	+0	-0	+1	+4	-0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	436	374	76	15	0	7	32	105	24	1	0	203	307	299	606	96	259	24	7	281	77	-12	+0	-1	+6	+9	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	GCL Blue Jays	—	150	138	26	6	1	0	10	24	1	0	0	188	248	246	495	58	222	16	7	223	37	—	—	—	—	—	—
2021	20	A MLE	Dunedin Blue Jays	—	242	181	54	7	0	1	38	45	21	4	1	298	471	354	824	55	372	19	16	374	139	—	—	—	—	—	—
2021	20	ROK MLE	FCL Blue Jays	—	20	14	5	2	0	0	2	1	4	1	0	357	550	500	1.050	143	323	5	10	394	153	—	—	—	—	—	—
2022	21	A+ MLE	Vancouver Canadians	—	294	252	48	9	3	5	19	78	17	7	3	190	292	310	601	119	230	27	6	264	65	—	—	—	—	—	—
2023	22	AAA MLE	Buffalo Bisons	—	77	65	12	3	0	0	7	18	5	0	0	185	312	231	542	46	244	23	9	249	55	—	—	—	—	—	—
2023	22	AA MLE	New Hampshire Fisher Cats	—	333	300	80	14	2	7	21	67	9	8	2	267	333	397	730	130	312	20	6	315	99	—	—	—	—	—	—
2024	23	MLB MLE	Toronto Blue Jays	—	210	179	41	11	0	4	12	59	16	0	0	229	333	358	691	128	311	28	6	315	99	-0	+0	-1	+5	+5	0.8
2024	23	AAA MLE	Buffalo Bisons	—	226	190	49	8	0	5	21	41	15	3	1	258	376	379	755	121	300	18	9	339	116	—	—	—	—	—	—
2025	24	MLB MLE	Toronto Blue Jays	—	32	29	2	0	0	1	2	8	0	0	0	69	129	172	301	103	50	25	6	137	-21	-5	+0	+0	+0	+1	-0.3
2025	24	AAA MLE	Buffalo Bisons	—	71	59	16	3	0	0	8	16	3	0	1	271	386	322	708	51	358	23	11	331	110	—	—	—	—	—	—
2025	24	A MLE	Dunedin Blue Jays	—	26	25	4	1	0	0	1	7	0	0	0	160	192	200	392	40	270	27	4	217	33	—	—	—	—	—	—
2026	25	MLB MLE	Miami Marlins	—	194	166	33	4	0	2	18	38	8	1	0	199	307	259	566	60	244	20	9	274	72	-6	+0	-0	+1	+4	-0.2
2018	17	ROK MLE	GCL Blue Jays	—	150	138	26	6	1	0	10	24	1	0	0	188	248	246	495	58	226	16	7	223	37	—	—	—	—	—	—
2018	17	ROK RAW	GCL Blue Jays	—	150	132	33	8	2	0	16	17	1	0	0	250	336	341	676	91	284	11	11	308	37	—	—	—	—	—	—
2021	20	A MLE	3 teams	—	313	233	69	10	0	1	48	55	29	6	1	296	471	352	823	56	378	18	15	376	140	—	—	—	—	—	—
2021	20	A RAW	3 teams	—	313	219	67	14	0	1	62	44	29	6	1	306	510	384	893	78	373	14	20	421	140	—	—	—	—	—	—
2022	21	A+ MLE	Vancouver Canadians	—	294	252	48	9	3	5	19	78	17	7	3	190	292	310	601	119	246	27	6	264	65	—	—	—	—	—	—
2022	21	A+ RAW	Vancouver Canadians	—	294	244	56	14	3	6	27	58	17	7	3	230	347	385	732	156	269	20	9	328	65	—	—	—	—	—	—
2023	22	AA MLE	2 teams	—	410	365	91	16	2	7	28	85	14	8	2	249	327	362	688	112	304	21	7	303	91	—	—	—	—	—	—
2023	22	AA RAW	2 teams	—	410	352	95	18	2	8	41	68	14	8	2	270	369	401	769	131	312	17	10	348	91	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	436	369	89	19	0	9	33	100	31	3	1	241	353	366	719	125	304	23	8	327	108	—	—	—	—	—	—
2024	23	AAA RAW	2 teams	—	436	360	90	19	0	11	42	93	31	3	1	250	376	394	771	144	305	21	10	352	108	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	129	113	23	5	0	1	11	31	3	0	1	204	291	274	566	71	268	24	9	260	62	—	—	—	—	—	—
2025	24	AAA RAW	3 teams	—	129	109	25	6	0	1	15	26	3	0	1	229	339	312	651	83	289	20	12	300	62	—	—	—	—	—	—
2026	25	MLB MLE	Miami Marlins	—	194	166	33	4	0	2	18	38	8	1	0	199	307	259	566	60	244	20	9	274	72	-6	+0	-0	+1	+4	-0.2
2026	25	MLB RAW	Miami Marlins	—	194	166	33	4	0	2	18	38	8	1	0	199	307	259	566	60	244	20	9	269	72	-6	+0	-0	+1	+4	-0.2
2018	17	ROK MLE	GCL Blue Jays	—	150	138	26	6	1	0	10	24	1	0	0	188	248	246	495	58	222	16	7	223	37	—	—	—	—	—	—
2021	20	A MLE	3 teams	—	313	233	69	10	0	1	48	55	29	6	1	296	471	352	823	56	368	18	15	376	140	—	—	—	—	—	—
2022	21	A+ MLE	Vancouver Canadians	—	294	256	48	9	3	5	19	78	17	7	3	188	292	305	596	117	230	27	6	264	65	—	—	—	—	—	—
2023	22	AA MLE	2 teams	—	410	365	91	16	2	7	28	85	14	8	2	249	327	362	688	112	299	21	7	303	91	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	436	369	89	19	0	9	33	100	31	3	1	241	353	366	719	125	305	23	8	327	108	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	129	114	23	5	0	1	11	31	3	0	1	202	291	272	563	70	264	24	9	260	62	—	—	—	—	—	—
2026	25	MLB MLE	Miami Marlins	—	194	166	33	4	0	2	18	38	8	1	0	199	307	259	566	60	244	20	9	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	AAA MLE	2 teams	—	436	369	89	19	0	9	33	100	31	3	1	241	353	366	719	125	305	23	8	327	108	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	129	114	23	5	0	1	11	31	3	0	1	202	291	272	563	70	264	24	9	260	62	—	—	—	—	—	—
2026	25	MLB MLE	Miami Marlins	—	194	166	33	4	0	2	18	38	8	1	0	199	307	259	566	60	244	20	9	274	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	MIA	100%	304	262	59	10	1	6	27	65	12	3	1	227	326	342	669	115	275	21	9	307	94	-2	+0	+1	+1	+7	0.5
▸ 2027 — real world (MLB)
2027	26	MLB CTX	MIA	100%	195	168	37	6	0	4	17	41	8	2	0	220	320	328	648	108	267	21	9	299	94	-1	+0	+0	+1	+4	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	MIA	82%	237	205	46	8	0	5	21	51	9	2	0	226	325	340	665	114	275	22	9	305	93	-2	+0	+1	+1	+5	0.5
2029	28	MLB MLE	MIA	82%	261	226	51	9	1	5	23	56	10	1	0	224	324	335	659	111	274	21	9	303	91	-3	+0	-0	+1	+6	0.4
2030	29	MLB MLE	MIA	82%	265	230	51	9	0	5	23	58	10	1	0	222	321	329	650	107	273	22	9	299	89	-4	+0	-1	+1	+6	0.3
2031	30	MLB MLE	MIA	82%	267	232	51	9	0	5	23	59	10	1	0	219	317	321	639	102	271	22	9	295	86	-5	+0	-2	+1	+6	0.1
2032	31	MLB MLE	MIA	82%	250	217	46	8	0	4	22	57	9	1	0	215	313	312	624	97	269	23	9	289	82	-5	+0	-2	+1	+5	-0.1
2028	27	MLB CTX	MIA	82%	194	168	37	6	0	4	17	42	7	2	0	219	319	326	645	107	266	22	9	297	93	-2	+0	+0	+1	+4	0.4
2029	28	MLB CTX	MIA	82%	214	185	40	7	0	4	19	46	8	1	0	217	317	321	639	104	266	21	9	295	91	-2	+0	-0	+1	+5	0.3
2030	29	MLB CTX	MIA	82%	217	188	41	7	0	4	19	48	8	1	0	215	315	315	630	100	265	22	9	291	89	-3	+0	-1	+1	+5	0.2
2031	30	MLB CTX	MIA	82%	219	190	41	7	0	4	19	49	8	1	0	212	312	308	620	96	263	22	9	287	86	-4	+0	-1	+1	+5	0.1
2032	31	MLB CTX	MIA	82%	205	177	37	6	0	3	18	46	8	0	0	208	307	299	606	91	261	22	9	282	82	-4	+0	-2	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1485	1282	272	48	0	26	124	336	63	6	0	212	312	310	623	98	265	23	8	288	90	-27	+1	-4	+10	+32	1.1
/ 162G	—	A+C		—	650	561	119	21	0	11	54	147	28	3	0	212	313	308	621	96	265	23	8	288	90	-12	+1	-2	+4	+14	0.5
Career	—	MLE		—	3401	2914	662	119	7	53	296	733	159	33	8	227	332	327	659	100	283	22	9	301	90	-32	+2	-5	+11	+41	1.8
/ 162G	—	MLE		—	650	557	126	23	1	10	57	140	30	6	2	226	331	325	656	99	282	22	9	301	90	-11	+1	-2	+4	+14	0.6

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 · 71 PAwOBA .374 → .331 (−43)K% 18.3% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.31%	÷0.988	×1.200	—	—	22.24%
BB% (unintentional) /PA	15.49%	÷0.984	×0.690	—	×1.048	11.38%
HBP% /PA	4.23%	—	×0.940	—	×1.048	4.16%
Singles /BIP	30.23%	÷1.007	×0.930	—	×1.048	29.26%
Doubles /BIP	9.30%	÷1.098	×0.830	—	×1.048	7.37%
Triples /BIP	0.00%	÷0.986	×0.970	—	×1.048	0.00%
Home runs /BIP	0.00%	÷0.847	×0.700	—	×1.048	0.00%

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 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .374 → .331; ISO .071 → .058; BABIP .386 → .358. 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).

2025 ADunedin Blue Jays · 26 PAwOBA .284 → .217 (−67)K% 19.2% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷0.968	×1.360	—	—	27.01%
BB% (unintentional) /PA	7.69%	÷1.015	×0.690	—	×0.980	5.12%
HBP% /PA	0.00%	—	×0.780	—	×0.980	0.00%
Singles /BIP	21.05%	÷1.006	×0.920	—	×0.980	18.86%
Doubles /BIP	10.53%	÷1.047	×0.830	—	×0.980	8.18%
Triples /BIP	0.00%	÷0.900	×0.910	—	×0.980	0.00%
Home runs /BIP	0.00%	÷1.284	×0.800	—	×0.980	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 101, 2B 109, 3B 80, K 94, BB 103 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).

Result: wOBA .284 → .217; ISO .083 → .060; BABIP .316 → .270. 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 · 226 PAwOBA .378 → .339 (−39)K% 15.0% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.04%	÷1.004	×1.200	—	—	17.98%
BB% (unintentional) /PA	13.27%	÷1.028	×0.690	—	×1.050	9.35%
HBP% /PA	6.64%	—	×0.940	—	×1.050	6.55%
Singles /BIP	23.13%	÷0.988	×0.930	×1.040	×1.050	23.77%
Doubles /BIP	5.44%	÷0.959	×0.830	×1.040	×1.050	5.14%
Triples /BIP	0.00%	÷1.150	×0.970	×1.040	×1.050	0.00%
Home runs /BIP	4.76%	÷0.990	×0.700	—	×1.050	3.54%

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 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .378 → .339; ISO .160 → .130; BABIP .300 → .300. 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 AANew Hampshire Fisher Cats · 333 PAwOBA .356 → .315 (−41)K% 15.9% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.92%	÷0.967	×1.220	—	—	20.07%
BB% (unintentional) /PA	9.61%	÷1.105	×0.700	—	×1.042	6.34%
HBP% /PA	2.70%	—	×0.850	—	×1.042	2.39%
Singles /BIP	24.58%	÷1.023	×0.970	×0.990	×1.042	24.05%
Doubles /BIP	6.36%	÷0.963	×0.860	×0.990	×1.042	5.86%
Triples /BIP	0.85%	÷1.033	×0.950	×0.990	×1.042	0.80%
Home runs /BIP	3.39%	÷1.000	×0.780	—	×1.042	2.75%

Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 105, 2B 93, 3B 107, K 93, BB 121 — 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 ×0.990.

Result: wOBA .356 → .315; ISO .149 → .129; BABIP .325 → .312. 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 · 77 PAwOBA .279 → .249 (−30)K% 19.5% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.48%	÷0.973	×1.200	—	—	24.03%
BB% (unintentional) /PA	11.69%	÷0.984	×0.690	—	×1.050	8.61%
HBP% /PA	6.49%	—	×0.940	—	×1.050	6.41%
Singles /BIP	18.75%	÷1.018	×0.930	×1.048	×1.050	18.85%
Doubles /BIP	6.25%	÷1.033	×0.830	×1.048	×1.050	5.53%
Triples /BIP	0.00%	÷1.150	×0.970	×1.048	×1.050	0.00%
Home runs /BIP	0.00%	÷0.916	×0.700	—	×1.050	0.00%

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 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .279 → .249; ISO .048 → .041; BABIP .250 → .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).

2022 A+Vancouver Canadians · 294 PAwOBA .327 → .264 (−62)K% 19.7% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.73%	÷1.003	×1.350	—	—	26.55%
BB% (unintentional) /PA	9.18%	÷1.037	×0.710	—	×1.027	6.46%
HBP% /PA	5.78%	—	×0.810	—	×1.027	4.81%
Singles /BIP	17.74%	÷0.950	×0.910	×0.960	×1.027	16.74%
Doubles /BIP	7.53%	÷1.254	×0.830	×0.960	×1.027	4.91%
Triples /BIP	1.61%	÷0.900	×0.820	×0.960	×1.027	1.45%
Home runs /BIP	3.23%	÷0.952	×0.830	—	×1.027	2.89%

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 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .327 → .264; ISO .156 → .123; BABIP .269 → .230. 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 · 242 PAwOBA .421 → .374 (−47)K% 14.5% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.46%	÷1.057	×1.360	—	—	18.62%
BB% (unintentional) /PA	21.07%	÷0.941	×0.690	—	×1.030	15.91%
HBP% /PA	8.68%	—	×0.780	—	×1.030	6.97%
Singles /BIP	33.08%	÷0.959	×0.920	×0.993	×1.030	32.46%
Doubles /BIP	6.02%	÷1.014	×0.830	×0.993	×1.030	5.03%
Triples /BIP	0.00%	÷1.018	×0.910	×0.993	×1.030	0.00%
Home runs /BIP	0.75%	÷1.010	×0.800	—	×1.030	0.61%

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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .421 → .374; ISO .065 → .058; BABIP .388 → .372. 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 ROKFCL Blue Jays · 20 PAwOBA .504 → .394 (−110)K% 5.0% → 7.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.00%	÷1.000	×1.440	—	—	7.20%
BB% (unintentional) /PA	15.00%	÷1.000	×0.620	—	×0.995	9.25%
HBP% /PA	20.00%	—	×0.720	—	×0.995	14.33%
Singles /BIP	25.00%	÷1.000	×0.820	—	×0.995	20.40%
Doubles /BIP	16.67%	÷1.000	×0.720	—	×0.995	11.94%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .504 → .394; ISO .154 → .127; BABIP .417 → .323. 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 — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Dave Anderson'83-'92 * career totals — 10 seasons, 2,287 PA	3.4	2,287	19	49	240*	312*	342*	+17	+13	5.1	6.0
/162	664	6	14	+5.1	+3.8	1.5	pk7: 7
#3Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
/162	664	9	8	+4.2	+5.5	1.8	pk7: 5
#4Jeff Reboulet'92-'03 * career totals — 12 seasons, 2,607 PA	3.9	2,607	20	22	230*	318*	310*	+12	+18	2.5	3.7
/162	664	5	6	+3.0	+4.6	0.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	2.5	1,649	29	7	221	318	326	+13	-0	3.4	3.5
/162	664	12	3	+5.4	-0.0	1.4	pk7: 4
#5Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#6Rene Gonzales'84-'97 * career totals — 8 seasons, 1,756 PA	2.6	1,756	19	23	236*	311*	337*	+4	+11	1.9	2.8
/162	664	7	9	+1.6	+4.2	0.7	pk7: 4

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Leo Jiménez (OGILVIE)	26	45	50	45	50	225/324/339	114	275	4	2	21%	9%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕J.R. Towles 2010 · MLB	26	45→53	47→50	45→50	47	225/304/364	140	264	15	9	21%	7%	91	+0.6	211/291/332	121	248	12	8	19%	7%	79	-0.2	195/276/292	97	225	8	5	17%	7%	62	-0.6
✕Andrew Knizner 2021 · MLB	26	49	47→50	49→40	46	244/301/376	132	279	16	7	19%	6%	92	+0.7	217/292/330	113	266	12	5	22%	8%	78	-0.3	229/296/347	118	278	13	3	22%	6%	83	+0.0
✕Ryan Lavarnway 2014 · MLB	26	48→46	45→55	45→30	47	237/297/361	125	281	13	3	21%	7%	86	+0.3	234/300/333	99	290	9	3	21%	8%	81	-0.1	215/280/363	148	263	18	0	25%	7%	78	-0.1
✕Luis Torrens 2021 · MLB	25	48→49	44→50	43→40	45	238/288/357	119	289	11	3	22%	6%	82	-0.0	233/289/387	154	300	18	3	28%	7%	90	+0.6	235/293/375	140	282	15	2	22%	6%	89	+0.2
✕Tim Olson 2005 · MLB	26	45	47→50	50	59	224/316/369	145	252	14	9	17%	12%	96	+1.0	229/280/367	138	289	15	12	25%	6%	82	-0.0	225/270/358	134	287	14	12	26%	5%	74	-0.3
✕Carter Kieboom 2023 · MLB	25	45→55	45→50	43→45	52	221/315/337	116	275	13	5	24%	10%	89	+0.5	227/296/342	115	294	13	7	26%	8%	82	-0.0	232/294/332	100	301	11	8	25%	7%	75	-0.3
✕Pedro Severino 2020 · MLB	27	44→49	47→50	46→45	47	224/284/357	133	263	16	5	22%	7%	81	-0.1	242/305/379	137	302	16	5	24%	8%	93	+0.8	247/308/373	127	316	14	3	25%	8%	93	+0.3
●Jason Castro 2013 · MLB	26	49→54	45→55	47→30	53	243/315/369	127	288	12	3	20%	9%	95	+0.9	243/311/412	169	313	19	3	27%	8%	104	+1.6	234/333/409	174	308	22	0	29%	12%	112	+1.1
✕Tyler Nevin 2023 · MLB	26	45→55	45→50	48→45	48	223/297/344	121	276	14	5	24%	8%	83	+0.1	241/314/389	148	291	17	5	22%	8%	99	+1.3	244/318/398	155	290	18	3	22%	8%	103	+1.1
✕Andre Lipcius 2024 · MLB	26	49→51	45	47→45	52	239/313/363	124	290	12	6	21%	9%	93	+0.8	224/286/359	135	279	16	7	25%	7%	82	+0.0	212/274/349	136	263	17	6	25%	7%	73	-0.6
●Jonathan India 2023 · MLB	26	52→54	49→50	45→50	51	254/343/405	151	309	16	8	22%	9%	114	+2.4	244/339/386	142	292	15	10	20%	10%	109	+2.0	238/339/373	135	284	14	9	20%	11%	105	+1.7
✕Jordy Mercer 2014 · MLB	27	52→57	46→50	43→45	45	255/303/393	138	298	13	8	19%	5%	95	+1.0	248/291/366	118	285	11	5	17%	5%	84	+0.2	247/303/379	132	280	13	1	16%	7%	93	+0.7
✕JD Closser 2006 · MLB	26	49	47→50	50→45	54	242/319/383	141	277	14	5	18%	10%	99	+1.3	219/294/354	135	263	14	7	22%	9%	84	+0.1	202/277/324	122	245	13	6	23%	9%	69	-0.5
✕Bruce Maxwell 2017 · MLB	26	49→48	43→45	43→30	47	242/297/353	111	298	11	3	22%	7%	84	+0.2	234/297/354	120	305	12	3	25%	8%	84	+0.2	228/294/348	120	295	13	0	26%	8%	81	-0.0
●James McCann 2016 · MLB	26	54→55	43→50	46→45	40	260/298/380	120	321	10	5	22%	4%	91	+0.6	240/291/374	134	302	16	3	25%	6%	87	+0.4	258/317/420	162	336	21	4	28%	7%	109	+1.1
✕Carlos Pérez 2017 · MLB	26	47→49	44→55	45	46	233/276/355	122	267	12	5	18%	6%	77	-0.3	234/282/361	127	271	13	5	19%	6%	81	-0.1	207/273/379	172	226	22	0	20%	7%	81	-0.1
✕Matt Kata 2004 · MLB	26	50→45	48→50	49→50	51	248/309/403	155	278	14	8	17%	8%	100	+1.3	249/294/375	126	286	10	10	16%	6%	88	+0.4	250/287/366	116	286	8	9	15%	4%	81	-0.0
✕Josh Smith 2024 · MLB	26	45→53	45	50	52	222/320/350	128	276	12	12	23%	10%	94	+0.9	238/320/361	123	288	12	12	20%	9%	95	+1.0	235/317/352	117	283	11	13	20%	9%	92	+0.7
✕Orlando Arcia 2021 · MLB	26	48→58	46→50	46→55	47	239/292/367	127	279	14	9	20%	7%	86	+0.3	241/300/397	156	271	19	6	19%	8%	96	+1.0	243/304/399	156	273	20	3	19%	7%	98	+0.8
✕Max Ramirez 2011 · MLB	26	46→52	44→50	45→40	47	223/303/336	113	309	12	3	30%	9%	84	+0.1	231/290/352	121	298	14	2	26%	7%	82	-0.0	236/306/365	129	274	14	2	19%	8%	89	+0.3

Leo Jiménez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps