Jean Joseph

CF Vancouver Canadians

Age 22 R/R 6'0" / 160 lbs A+ Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ATOR	273	.222/.309/.356	5	3	51	—	.189/.264/.295
2025	20	ATOR	323	.245/.325/.364	5	5	52	—	.202/.272/.284
2026	21	A+/A/ROKTOR	188	.233/.333/.421	7	1	68	—	.192/.267/.344
2027PROJMLE	22	MLBTOR	1	.199/.264/.309	0	0	62	-0.0
2028PROJ35% MLB	23	MLBTOR	52	.204/.270/.322	1	0	67	-0.1
2029PROJ46% MLB	24	MLBTOR	106	.208/.274/.330	2	1	70	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Ext$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

Z-Con%97

K%95

Whiff%92

ISO82

BB%23

Chase%23

Career WAR0.0 WAR median (P10 0.0 / P90 1.9, comp-based) · star 2% · didn't stick 90%

CompsLuis De La Cruz (age 22) · Imeldo Diaz (age 21) · Aaron McKeithan (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†62

AVG/OBP/SLG.199 / .264 / .309

PA1

HR0

K%24

BB%6

BABIP245

ISO101

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE20

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$0.0M

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)
2022	17	ROK	DSL Blue Jays	—	185	157	32	2	0	0	22	28	4	6	6	204	317	217	534	13	246	15	12	259	6	—	—	—	—	—	—
2023	18	ROK	FCL Blue Jays	—	108	89	19	5	0	1	17	29	2	6	5	213	352	303	655	90	305	27	16	311	28	—	—	—	—	—	—
2024	19	A	Dunedin Blue Jays	—	273	239	53	15	1	5	20	67	10	3	3	222	309	356	664	134	281	25	7	299	51	—	—	—	—	—	—
2025	20	A	Dunedin Blue Jays	—	323	286	70	19	0	5	19	60	15	5	5	245	325	364	689	119	290	19	6	312	52	—	—	—	—	—	—
2026	21	A+	Vancouver Canadians	—	81	70	13	2	1	4	7	11	0	0	0	186	260	414	674	229	153	14	9	282	56	—	—	—	—	—	—
2026	21	A	Dunedin Blue Jays	—	67	58	16	3	0	0	8	13	0	1	1	276	364	328	691	52	348	19	12	316	65	—	—	—	—	—	—
2026	21	ROK	FCL Blue Jays	—	40	31	8	2	0	3	7	7	2	0	0	258	425	613	1.038	355	238	18	18	447	99	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Blue Jays	—	185	164	22	1	0	0	15	34	4	6	6	134	224	140	364	6	167	18	8	177	6	—	—	—	—	—	—
2023	18	ROK MLE	FCL Blue Jays	—	108	95	14	3	0	1	11	42	2	6	5	147	250	211	461	63	245	39	10	210	28	—	—	—	—	—	—
2024	19	A MLE	Dunedin Blue Jays	—	273	244	46	12	1	4	15	88	10	3	3	189	264	295	559	107	256	32	5	244	51	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	323	292	59	15	0	3	13	84	15	5	5	202	272	284	556	82	262	26	4	245	52	—	—	—	—	—	—
2026	21	A+ MLE	Vancouver Canadians	—	81	72	13	2	1	4	5	15	0	0	0	181	234	403	637	222	138	19	6	251	56	—	—	—	—	—	—
2026	21	A MLE	Dunedin Blue Jays	—	67	60	14	2	0	0	6	18	0	1	1	233	303	267	570	33	321	27	9	264	65	—	—	—	—	—	—
2026	21	ROK MLE	FCL Blue Jays	—	40	34	5	1	0	2	4	10	2	0	0	147	275	353	628	206	177	25	10	314	99	—	—	—	—	—	—
2022	17	ROK MLE	DSL Blue Jays	—	185	164	22	1	0	0	15	34	4	6	6	134	224	140	364	6	168	18	8	177	6	—	—	—	—	—	—
2022	17	ROK RAW	DSL Blue Jays	—	185	157	32	2	0	0	22	28	4	6	6	204	317	217	534	13	246	15	12	259	6	—	—	—	—	—	—
2023	18	ROK MLE	FCL Blue Jays	—	108	95	14	3	0	1	11	42	2	6	5	147	250	211	461	63	250	39	10	210	28	—	—	—	—	—	—
2023	18	ROK RAW	FCL Blue Jays	—	108	89	19	5	0	1	17	29	2	6	5	213	352	303	655	90	305	27	16	311	28	—	—	—	—	—	—
2024	19	A MLE	Dunedin Blue Jays	—	273	244	46	12	1	4	15	88	10	3	3	189	264	295	559	107	269	32	5	244	51	—	—	—	—	—	—
2024	19	A RAW	Dunedin Blue Jays	—	273	239	53	15	1	5	20	67	10	3	3	222	309	356	664	134	281	25	7	299	51	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	323	292	59	15	0	3	13	84	15	5	5	202	272	284	556	82	269	26	4	245	52	—	—	—	—	—	—
2025	20	A RAW	Dunedin Blue Jays	—	323	286	70	19	0	5	19	60	15	5	5	245	325	364	689	119	290	19	6	312	52	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	188	166	33	6	1	6	15	43	2	1	1	199	273	355	629	157	221	23	8	269	68	—	—	—	—	—	—
2026	21	A+ RAW	3 teams	—	188	159	37	7	1	7	22	31	2	1	1	233	333	421	755	189	238	16	12	329	68	—	—	—	—	—	—
2022	17	ROK MLE	DSL Blue Jays	—	185	164	22	1	0	0	15	34	4	6	6	134	224	140	364	6	167	18	8	177	6	—	—	—	—	—	—
2023	18	ROK MLE	FCL Blue Jays	—	108	94	14	3	0	1	11	42	2	6	5	149	250	213	463	64	245	39	10	210	28	—	—	—	—	—	—
2024	19	A MLE	Dunedin Blue Jays	—	273	246	46	12	1	4	15	88	10	3	3	187	264	293	557	106	256	32	5	244	51	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	323	292	59	15	0	3	13	84	15	5	5	202	272	284	556	82	262	26	4	245	52	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	188	169	33	6	1	6	15	43	2	1	1	195	273	349	622	154	212	23	8	269	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Dunedin Blue Jays	—	273	246	46	12	1	4	15	88	10	3	3	187	264	293	557	106	256	32	5	244	51	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	323	292	59	15	0	3	13	84	15	5	5	202	272	284	556	82	262	26	4	245	52	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	188	169	33	6	1	6	15	43	2	1	1	195	273	349	622	154	212	23	8	269	68	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TOR	0%	298	272	54	12	1	5	17	70	7	3	2	199	263	309	572	110	245	23	6	259	62	-14	-0	+0	+1	+6	-0.2
▸ 2027 — real world (MLB)
2027	22	MLB CTX	TOR	0%	1	1	0	0	0	0	0	0	0	0	0	199	264	309	573	110	245	0	0	260	62	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TOR	35%	151	138	27	6	0	3	9	35	3	1	1	203	269	321	590	118	248	23	6	267	67	-6	-0	+0	+1	+3	-0.2
2029	24	MLB MLE	TOR	46%	229	208	43	9	1	5	14	53	5	2	1	207	274	330	603	122	250	23	6	272	70	-8	+0	+0	+1	+5	-0.2
2030	25	MLB MLE	TOR	52%	291	265	56	12	1	7	18	67	6	3	2	210	277	335	612	126	253	23	6	276	73	-9	-0	+0	+1	+6	-0.2
2031	26	MLB MLE	TOR	54%	336	304	65	14	1	8	22	77	7	3	2	211	279	339	618	127	254	23	7	278	74	-10	-0	+0	+1	+7	-0.2
2032	27	MLB MLE	TOR	54%	356	322	68	14	1	8	24	82	7	3	2	212	280	340	620	128	256	23	7	279	75	-11	-0	+0	+1	+8	-0.2
2028	23	MLB CTX	TOR	35%	52	48	9	2	0	1	3	12	1	0	0	204	270	322	591	118	248	23	6	267	67	-2	+0	+0	+0	+1	-0.1
2029	24	MLB CTX	TOR	46%	106	96	19	4	0	2	7	24	2	1	1	208	274	330	605	123	251	23	7	273	70	-4	-0	+0	+0	+2	-0.1
2030	25	MLB CTX	TOR	52%	150	136	29	6	1	3	10	34	3	1	1	210	278	336	614	126	253	23	7	276	73	-5	-0	+0	+1	+3	-0.1
2031	26	MLB CTX	TOR	54%	182	164	35	7	1	4	12	42	4	2	1	212	280	339	619	128	255	23	7	279	74	-6	+0	+0	+1	+4	-0.1
2032	27	MLB CTX	TOR	54%	193	174	37	8	1	4	13	44	4	1	1	213	281	340	621	128	257	23	7	280	75	-6	-0	+0	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	683	618	129	27	3	14	45	156	14	5	4	209	278	330	608	121	254	23	7	277	60	-22	-1	+0	+2	+15	-0.5
/ 162G	—	A+C		—	650	588	123	26	3	13	43	148	13	5	4	209	278	330	608	121	255	23	7	277	60	-21	-1	+0	+2	+14	-0.5
Career	—	MLE		—	2548	2297	452	96	6	47	162	631	63	34	29	197	268	305	574	108	247	25	6	257	60	-49	-1	+0	+5	+32	-1.3
/ 162G	—	MLE		—	650	586	115	24	2	12	41	161	16	9	7	196	267	305	573	109	246	25	6	257	60	-22	-0	+0	+2	+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.

2026 A+Vancouver Canadians · 81 PAwOBA .288 → .251 (−37)K% 13.6% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.58%	÷1.000	×1.350	—	—	18.33%
BB% (unintentional) /PA	8.64%	÷1.000	×0.710	—	×1.027	6.30%
HBP% /PA	0.00%	—	×0.810	—	×1.027	0.00%
Singles /BIP	10.17%	÷1.000	×0.910	×1.007	×1.027	9.58%
Doubles /BIP	3.39%	÷1.000	×0.830	×1.007	×1.027	2.91%
Triples /BIP	1.69%	÷1.000	×0.820	×1.007	×1.027	1.44%
Home runs /BIP	6.78%	÷1.000	×0.830	—	×1.027	5.78%

Factors used: level-wide A+ 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 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 ×1.007.

Result: wOBA .288 → .251; ISO .229 → .202; BABIP .153 → .138. 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).

2026 ADunedin Blue Jays · 67 PAwOBA .314 → .264 (−50)K% 19.4% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.40%	÷1.000	×1.360	—	—	26.39%
BB% (unintentional) /PA	11.94%	÷1.000	×0.690	—	×1.015	8.36%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	28.89%	÷1.000	×0.920	×1.007	×1.015	27.17%
Doubles /BIP	6.67%	÷1.000	×0.830	×1.007	×1.015	5.66%
Triples /BIP	0.00%	÷1.000	×0.910	×1.007	×1.015	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.015	0.00%

Factors used: level-wide A 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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .314 → .264; ISO .052 → .043; BABIP .348 → .321. 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).

2026 ROKFCL Blue Jays · 40 PAwOBA .435 → .314 (−121)K% 17.5% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.50%	÷1.000	×1.440	—	—	25.20%
BB% (unintentional) /PA	17.50%	÷1.000	×0.620	—	×0.985	10.69%
HBP% /PA	5.00%	—	×0.720	—	×0.985	3.55%
Singles /BIP	12.50%	÷1.000	×0.820	—	×0.985	10.10%
Doubles /BIP	8.33%	÷1.000	×0.720	—	×0.985	5.91%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	12.50%	÷1.000	×0.780	—	×0.985	9.60%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .435 → .314; ISO .355 → .271; BABIP .238 → .177. 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 · 323 PAwOBA .307 → .245 (−61)K% 18.6% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.58%	÷0.968	×1.360	—	—	26.09%
BB% (unintentional) /PA	5.88%	÷1.015	×0.690	—	×1.030	4.12%
HBP% /PA	4.64%	—	×0.780	—	×1.030	3.73%
Singles /BIP	20.35%	÷1.006	×0.920	×1.005	×1.030	19.26%
Doubles /BIP	8.41%	÷1.047	×0.830	×1.005	×1.030	6.90%
Triples /BIP	0.00%	÷0.900	×0.910	×1.005	×1.030	0.00%
Home runs /BIP	2.21%	÷1.284	×0.800	—	×1.030	1.42%

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 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 ×1.005.

Result: wOBA .307 → .245; ISO .119 → .083; BABIP .290 → .262. 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 ADunedin Blue Jays · 273 PAwOBA .295 → .244 (−52)K% 24.5% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.54%	÷1.041	×1.360	—	—	32.07%
BB% (unintentional) /PA	7.33%	÷0.959	×0.690	—	×1.045	5.51%
HBP% /PA	3.66%	—	×0.780	—	×1.045	2.99%
Singles /BIP	18.60%	÷0.962	×0.920	×0.962	×1.045	17.88%
Doubles /BIP	8.72%	÷0.999	×0.830	×0.962	×1.045	7.28%
Triples /BIP	0.58%	÷1.150	×0.910	×0.962	×1.045	0.46%
Home runs /BIP	2.91%	÷1.003	×0.800	—	×1.045	2.42%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 92, 2B 100, 3B 130, K 108, BB 92 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .295 → .244; ISO .134 → .105; BABIP .281 → .256. 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 ROKFCL Blue Jays · 108 PAwOBA .304 → .210 (−94)K% 26.9% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.85%	÷1.006	×1.440	—	—	38.46%
BB% (unintentional) /PA	15.74%	÷1.000	×0.620	—	×1.022	9.98%
HBP% /PA	1.85%	—	×0.720	—	×1.022	1.36%
Singles /BIP	21.67%	÷0.968	×0.820	×0.974	×1.022	18.28%
Doubles /BIP	8.33%	÷1.008	×0.720	×0.974	×1.022	5.93%
Triples /BIP	0.00%	÷1.042	×0.720	×0.974	×1.022	0.00%
Home runs /BIP	1.67%	÷1.005	×0.780	—	×1.022	1.32%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 94, 2B 102, 3B 108, K 101, BB 100 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .304 → .210; ISO .090 → .060; BABIP .305 → .245. 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 DSLDSL Blue Jays · 185 PAwOBA .253 → .177 (−76)K% 15.1% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.14%	÷1.008	×1.220	—	—	18.33%
BB% (unintentional) /PA	11.35%	÷1.034	×0.700	—	×1.022	7.86%
HBP% /PA	2.16%	—	×0.700	—	×1.022	1.55%
Singles /BIP	23.26%	÷1.011	×0.680	×0.988	×1.022	15.81%
Doubles /BIP	1.55%	÷0.960	×0.600	×0.988	×1.022	0.98%
Triples /BIP	0.00%	÷1.000	×0.600	×0.988	×1.022	0.00%
Home runs /BIP	0.00%	÷1.130	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 102, 2B 92, 3B 100, K 102, BB 107 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .253 → .177; ISO .013 → .008; BABIP .246 → .167. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	2.7	1,818	64	50	206*	292*	376*	-1	+20	4.0	4.0
/162	664	23	18	-0.3	+7.2	1.5	pk7: 4
#3Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Damon Buford'93-'01 * career totals — 8 seasons, 2,072 PA	3.1	2,072	54	56	230*	296*	371*	-1	-2	0.2	0.8
/162	664	17	18	-0.4	-0.5	0.1	pk7: 1
#6Rick Bosetti'76-'82 * career totals — 5 seasons, 1,656 PA	2.5	1,656	17	30	243*	286*	358*	+3	+16	0.6	0.6
/162	664	7	12	+1.4	+6.5	0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.0	684	15	6	211	275	337	+2	+5	-0.0	0.0
/162	664	15	6	+2.4	+4.9	-0.0	pk7: 0

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
Jean Joseph (OGILVIE)	22	40	30	45	20	197/261/306	109	245	2	1	24%	6%	62	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis De La Cruz 2011 · A	22	40	40→30	47→30	38	195/231/295	100	253	6	6	26%	4%	45	-2.7	235/266/315	80	286	4	6	19%	4%	63	-1.4	266/288/334	68	312	3	4	16%	3%	71	-0.3
✕Imeldo Diaz 2019 · A	21	44	41→40	46→45	41	215/264/307	91	269	9	5	23%	5%	61	-1.5	231/265/311	80	306	5	5	25%	4%	61	-1.5	238/261/300	62	316	3	2	25%	2%	55	-0.6
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Riccio Torrez 2012 · A	22	41→34	43→40	46→45	39	205/249/308	103	258	11	7	25%	4%	56	-1.9	193/249/284	91	245	8	5	24%	4%	51	-2.2	184/240/270	86	233	7	4	24%	4%	42	-1.5
✕Glenn Santiago 2023 · A	22	42	41→40	46→45	40	203/258/299	95	286	8	8	31%	6%	57	-1.8	200/263/285	85	289	7	9	31%	7%	56	-1.9	185/254/258	73	266	7	8	31%	7%	46	-1.1
✕Ronarsy Ledesma 2015 · A	22	44	41→45	47→50	41	212/262/314	102	269	7	9	24%	5%	62	-1.4	199/246/283	84	329	7	7	39%	5%	49	-2.4	179/223/234	55	313	7	10	43%	4%	26	-1.3
✕Adolfo Gonzalez 2007 · AA	22	45	42→40	46→45	37	221/260/330	108	287	9	6	26%	4%	65	-1.2	242/276/333	91	329	6	7	27%	4%	71	-0.8	252/283/335	83	341	6	6	27%	4%	70	-0.4
✕Luis Alvarez 2012 · A	22	45	39→40	42→45	44	215/273/300	85	266	6	5	21%	6%	63	-1.3	220/272/344	124	281	13	5	26%	5%	74	-0.6	209/252/367	157	250	21	0	26%	3%	69	-0.2
✕Chadwick Tromp 2017 · A	22	41	43→45	43→40	37	208/243/315	107	269	11	4	27%	4%	55	-1.9	226/280/323	97	284	8	4	22%	6%	71	-0.8	234/296/333	99	289	9	2	21%	7%	77	-0.1
✕Tyler Ladendorf 2010 · A	22	43→49	41→40	48→50	44	211/267/308	97	257	8	7	21%	6%	63	-1.4	213/263/301	88	279	7	9	25%	6%	59	-1.6	224/285/315	91	283	6	3	22%	7%	69	-0.4
✕Danny Mendick 2016 · A	22	41→47	42→45	50	45	204/261/304	99	246	10	9	21%	6%	60	-1.6	207/263/297	90	260	7	9	22%	6%	59	-1.7	237/296/342	105	299	11	4	23%	7%	81	-0.0
✕Alex Todd 2012 · A	22	39	37→40	44→45	38	186/246/258	71	258	4	4	28%	5%	44	-2.8	223/288/309	86	301	6	6	26%	6%	71	-0.8	240/308/326	86	321	6	5	25%	5%	80	-0.1
✕Elio Prado 2024 · A	22	40→37	42→40	46→50	45	199/275/302	103	259	10	9	26%	7%	65	-1.2	190/255/279	89	267	8	14	30%	7%	52	-2.2	168/233/235	68	243	6	17	32%	7%	32	-1.7
✕Adam Abraham 2009 · A	22	38→45	44→45	49→40	43	196/257/308	112	257	12	5	28%	7%	60	-1.6	216/271/329	113	275	10	4	24%	6%	70	-0.9	223/283/338	116	279	11	2	23%	7%	74	-0.3
✕Roberto Alvarez 2021 · A	22	45→43	37→30	49→40	39	216/252/286	70	276	5	5	23%	4%	51	-2.3	230/287/301	71	303	4	5	24%	6%	68	-1.0	243/307/302	59	313	1	2	21%	6%	74	-0.2
✕Ryan Vega 2019 · A	22	47	40	47→45	44	225/281/316	92	289	7	7	24%	6%	70	-0.9	192/259/278	86	294	7	7	34%	7%	53	-2.1	158/232/234	76	244	8	6	36%	7%	32	-2.1
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	204/266/305	102	255	9	3	24%	7%	62	-1.4	214/278/311	97	270	8	5	23%	7%	68	-1.0	223/309/335	112	282	10	2	23%	8%	83	+0.0
✕Chris Gutierrez 2006 · A	22	41→51	39→40	47→45	44	196/255/281	85	251	6	5	24%	6%	52	-2.2	212/286/283	71	270	3	4	21%	8%	65	-1.2	237/315/304	67	328	2	6	26%	9%	76	-0.2
✕Juan Fernandez 2021 · A	22	44→54	39→40	46→50	43	211/268/295	84	273	6	6	24%	6%	60	-1.6	234/293/327	93	296	9	9	23%	6%	77	-0.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Ramón Rodríguez 2022 · AA	23	43	43→40	47→45	40	214/258/319	105	272	11	5	26%	5%	61	-1.5	221/274/313	92	256	9	8	17%	6%	67	-1.1	216/277/308	92	237	10	8	14%	7%	65	-0.5

Jean Joseph

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps