Manuel Beltre

SS Vancouver Canadians

Age 23 R/R 5'10" / 155 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	20	ATOR	446	.236/.336/.326	5	23	57	—	.206/.288/.279
2025	21	A/INTL2 orgs	506	.241/.319/.342	7	27	50	—	.192/.259/.259
2026	22	A+TOR	225	.244/.312/.393	6	6	56	—	.204/.258/.325
2027PROJMLE	23	MLBTOR	1	.182/.246/.265	0	0	45	-0.0
2028PROJ30% MLB	24	MLBTOR	52	.188/.254/.282	1	1	51	-0.1
2029PROJ44% MLB	25	MLBTOR	104	.192/.259/.293	2	3	56	-0.2

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Ext$0.9M2032Ext$0.9M2033Ext$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

K%62

Z-Con%55

ISO50

Whiff%43

Speed39

wRC+33

Career WAR0.0 WAR median (P10 0.0 / P90 0.7, comp-based) · star 0% · didn't stick 92%

CompsAlfredo Rodriguez (age 23) · Claudio Finol (age 23) · Eduardo Torrealba (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†45

AVG/OBP/SLG.182 / .246 / .265

PA1

HR0

K%27

BB%6

BABIP239

ISO84

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE40

scouting grade only

SPEED55

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	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2021	17	ROK	DSL Blue Jays	—	238	182	41	10	3	2	42	33	10	10	4	225	397	346	744	121	258	14	18	345	41	—	—	—	—	—	—
2022	18	A	Dunedin Blue Jays	—	22	21	8	1	0	1	1	3	0	0	0	381	409	571	981	190	412	14	5	431	138	—	—	—	—	—	—
2022	18	ROK	FCL Blue Jays	—	206	171	40	8	1	1	22	41	10	9	4	234	353	310	663	76	298	20	11	310	38	—	—	—	—	—	—
2023	19	A	Dunedin Blue Jays	—	431	368	85	22	0	6	48	83	11	12	2	231	336	340	676	109	280	19	11	311	52	—	—	—	—	—	—
2024	20	A	Dunedin Blue Jays	—	446	386	91	16	2	5	43	83	15	23	5	236	336	326	662	91	287	19	10	307	57	—	—	—	—	—	—
2025	21	A	Dunedin Blue Jays	—	431	376	89	20	1	5	44	76	5	26	7	237	325	335	660	98	279	18	10	300	45	—	—	—	—	—	—
2025	21	INTL	Perth Heat	—	75	72	19	2	0	2	2	11	0	1	1	264	284	375	659	111	283	15	3	289	82	—	—	—	—	—	—
2026	22	A+	Vancouver Canadians	—	225	201	49	12	0	6	16	49	4	6	3	244	312	393	705	149	287	22	7	311	56	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Blue Jays	—	238	195	27	6	2	1	29	41	10	10	4	138	282	205	487	67	160	17	12	229	41	—	—	—	—	—	—
2022	18	A MLE	Dunedin Blue Jays	—	22	21	8	1	0	1	1	4	0	0	0	381	409	571	981	190	389	18	5	372	138	—	—	—	—	—	—
2022	18	ROK MLE	FCL Blue Jays	—	206	180	32	6	1	1	14	58	10	9	4	178	275	239	513	61	236	28	7	225	38	—	—	—	—	—	—
2023	19	A MLE	Dunedin Blue Jays	—	431	384	74	17	0	4	33	111	11	12	2	193	276	268	544	76	252	26	8	245	52	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	446	398	82	13	2	4	31	108	15	23	5	206	288	279	567	73	264	24	7	252	57	—	—	—	—	—	—
2025	21	A MLE	Dunedin Blue Jays	—	431	390	75	15	1	3	30	107	5	26	7	192	259	259	518	67	246	25	7	235	45	—	—	—	—	—	—
2026	22	A+ MLE	Vancouver Canadians	—	225	206	42	10	0	5	11	66	4	6	3	204	258	325	583	121	255	29	5	251	56	—	—	—	—	—	—
2021	17	ROK MLE	DSL Blue Jays	—	238	195	27	6	2	1	29	41	10	10	4	138	282	205	487	67	166	17	12	229	41	—	—	—	—	—	—
2021	17	ROK RAW	DSL Blue Jays	—	238	182	41	10	3	2	42	33	10	10	4	225	397	346	744	121	258	14	18	345	41	—	—	—	—	—	—
2022	18	ROK MLE	2 teams	—	228	201	39	7	1	2	15	62	10	9	4	194	283	269	552	75	266	27	7	239	48	—	—	—	—	—	—
2022	18	ROK RAW	2 teams	—	228	192	48	9	1	2	23	44	10	9	4	250	358	339	697	89	311	19	10	322	48	—	—	—	—	—	—
2023	19	A MLE	Dunedin Blue Jays	—	431	384	74	17	0	4	33	111	11	12	2	193	276	268	544	76	257	26	8	245	52	—	—	—	—	—	—
2023	19	A RAW	Dunedin Blue Jays	—	431	368	85	22	0	6	48	83	11	12	2	231	336	340	676	109	280	19	11	311	52	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	446	398	82	13	2	4	31	108	15	23	5	206	288	279	567	73	271	24	7	252	57	—	—	—	—	—	—
2024	20	A RAW	Dunedin Blue Jays	—	446	386	91	16	2	5	43	83	15	23	5	236	336	326	662	91	287	19	10	307	57	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	506	459	88	18	1	4	35	125	5	27	8	192	257	261	518	70	249	25	7	235	45	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	506	448	108	22	1	7	46	87	5	27	8	241	319	342	660	100	280	17	9	298	45	—	—	—	—	—	—
2026	22	A+ MLE	Vancouver Canadians	—	225	206	42	10	0	5	11	66	4	6	3	204	258	325	583	121	266	29	5	251	56	—	—	—	—	—	—
2026	22	A+ RAW	Vancouver Canadians	—	225	201	49	12	0	6	16	49	4	6	3	244	312	393	705	149	287	22	7	311	56	—	—	—	—	—	—
2021	17	ROK MLE	DSL Blue Jays	—	238	197	27	6	2	1	29	41	10	10	4	137	282	203	485	66	160	17	12	229	41	—	—	—	—	—	—
2022	18	ROK MLE	2 teams	—	228	201	39	7	1	2	15	62	10	9	4	194	283	269	552	75	251	27	7	239	48	—	—	—	—	—	—
2023	19	A MLE	Dunedin Blue Jays	—	431	384	74	17	0	4	33	111	11	12	2	193	276	268	544	76	252	26	8	245	52	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	446	397	82	13	2	4	31	108	15	23	5	207	288	280	568	73	264	24	7	252	57	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	506	461	88	18	1	4	35	125	5	27	8	191	257	260	517	69	246	25	7	235	45	—	—	—	—	—	—
2026	22	A+ MLE	Vancouver Canadians	—	225	208	42	10	0	5	11	66	4	6	3	202	258	322	580	120	255	29	5	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A MLE	Dunedin Blue Jays	—	446	397	82	13	2	4	31	108	15	23	5	207	288	280	568	73	264	24	7	252	57	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	506	461	88	18	1	4	35	125	5	27	8	191	257	260	517	69	246	25	7	235	45	—	—	—	—	—	—
2026	22	A+ MLE	Vancouver Canadians	—	225	208	42	10	0	5	11	66	4	6	3	202	258	322	580	120	255	29	5	251	56	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	TOR	0%	366	335	61	12	1	5	23	97	5	9	3	181	246	264	510	83	238	27	6	234	45	-24	+1	+0	+4	+8	-0.4
▸ 2027 — real world (MLB)
2027	23	MLB CTX	TOR	0%	1	1	0	0	0	0	0	0	0	0	0	182	246	265	511	83	239	0	0	235	45	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	TOR	30%	170	155	29	6	0	3	11	44	2	4	1	188	253	281	534	94	242	26	6	244	51	-10	+0	+0	+2	+4	-0.4
2029	25	MLB MLE	TOR	44%	236	215	41	8	1	4	16	61	3	6	2	192	258	293	551	101	244	26	7	251	56	-12	+0	+0	+3	+5	-0.4
2030	26	MLB MLE	TOR	51%	291	265	51	10	1	5	20	74	4	7	2	195	261	300	561	105	247	25	7	255	59	-14	+1	+0	+3	+6	-0.4
2028	24	MLB CTX	TOR	30%	52	48	9	2	0	1	3	14	1	1	0	188	254	282	536	94	243	27	6	245	51	-3	+0	+0	+1	+1	-0.1
2029	25	MLB CTX	TOR	44%	104	95	19	4	0	2	7	27	1	3	1	192	259	293	552	101	245	26	7	251	56	-5	+0	+0	+1	+2	-0.2
2030	26	MLB CTX	TOR	51%	148	135	26	5	0	3	10	38	2	4	1	195	262	300	562	105	248	26	7	256	59	-7	+0	+0	+2	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	304	278	54	11	0	6	20	79	4	8	2	194	258	299	557	104	246	26	7	252	51	-16	+1	+0	+3	+7	-0.5
/ 162G	—	A+C		—	650	594	116	24	0	13	43	169	9	17	4	195	260	301	561	106	248	26	7	252	51	-34	+2	+0	+7	+14	-1.1
Career	—	MLE		—	2914	2609	497	100	8	34	210	730	66	108	32	190	268	274	542	84	247	25	7	244	51	-46	+2	+0	+9	+18	-1.7
/ 162G	—	MLE		—	650	582	111	22	2	8	47	163	15	24	7	191	269	277	546	86	247	25	7	244	51	-36	+1	+0	+7	+14	-1.3

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.

2026 A+Vancouver Canadians · 225 PAwOBA .308 → .251 (−58)K% 21.8% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.78%	÷1.000	×1.350	—	—	29.40%
BB% (unintentional) /PA	7.11%	÷1.000	×0.710	—	×1.012	5.11%
HBP% /PA	1.78%	—	×0.810	—	×1.012	1.46%
Singles /BIP	20.39%	÷1.000	×0.910	×0.997	×1.012	18.72%
Doubles /BIP	7.89%	÷1.000	×0.830	×0.997	×1.012	6.61%
Triples /BIP	0.00%	÷1.000	×0.820	×0.997	×1.012	0.00%
Home runs /BIP	3.95%	÷1.000	×0.830	—	×1.012	3.32%

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 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 ×0.997.

Result: wOBA .308 → .251; ISO .149 → .119; BABIP .287 → .255. 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 · 431 PAwOBA .296 → .235 (−62)K% 17.6% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.63%	÷0.968	×1.360	—	—	24.77%
BB% (unintentional) /PA	10.21%	÷1.015	×0.690	—	×1.015	7.04%
HBP% /PA	1.16%	—	×0.780	—	×1.015	0.92%
Singles /BIP	21.00%	÷1.006	×0.920	×0.987	×1.015	19.24%
Doubles /BIP	6.67%	÷1.047	×0.830	×0.987	×1.015	5.30%
Triples /BIP	0.33%	÷0.900	×0.910	×0.987	×1.015	0.34%
Home runs /BIP	1.67%	÷1.284	×0.800	—	×1.015	1.05%

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 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 ×0.987.

Result: wOBA .296 → .235; ISO .098 → .070; BABIP .279 → .246. 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 · 446 PAwOBA .300 → .252 (−47)K% 18.6% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.61%	÷1.041	×1.360	—	—	24.32%
BB% (unintentional) /PA	9.42%	÷0.959	×0.690	—	×1.030	6.98%
HBP% /PA	3.36%	—	×0.780	—	×1.030	2.70%
Singles /BIP	22.44%	÷0.962	×0.920	×0.966	×1.030	21.34%
Doubles /BIP	5.28%	÷0.999	×0.830	×0.966	×1.030	4.36%
Triples /BIP	0.66%	÷1.150	×0.910	×0.966	×1.030	0.52%
Home runs /BIP	1.65%	÷1.003	×0.800	—	×1.030	1.36%

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 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 ×0.966.

Result: wOBA .300 → .252; ISO .091 → .072; BABIP .287 → .264. 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 ADunedin Blue Jays · 431 PAwOBA .305 → .245 (−61)K% 19.3% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.26%	÷1.018	×1.360	—	—	25.74%
BB% (unintentional) /PA	11.14%	÷1.062	×0.690	—	×1.045	7.56%
HBP% /PA	2.55%	—	×0.780	—	×1.045	2.08%
Singles /BIP	20.00%	÷0.988	×0.920	×0.970	×1.045	18.88%
Doubles /BIP	7.72%	÷1.034	×0.830	×0.970	×1.045	6.28%
Triples /BIP	0.00%	÷1.111	×0.910	×0.970	×1.045	0.00%
Home runs /BIP	2.11%	÷1.279	×0.800	—	×1.045	1.38%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 98, 2B 107, 3B 122, K 104, BB 112 — 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 ×0.970.

Result: wOBA .305 → .245; ISO .109 → .079; BABIP .280 → .252. 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 ROKFCL Blue Jays · 206 PAwOBA .306 → .225 (−80)K% 19.9% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.90%	÷1.013	×1.440	—	—	28.30%
BB% (unintentional) /PA	10.68%	÷0.970	×0.620	—	×1.022	6.98%
HBP% /PA	4.85%	—	×0.720	—	×1.022	3.57%
Singles /BIP	23.08%	÷0.981	×0.820	×0.950	×1.022	18.74%
Doubles /BIP	6.15%	÷0.953	×0.720	×0.950	×1.022	4.52%
Triples /BIP	0.77%	÷0.900	×0.720	×0.950	×1.022	0.60%
Home runs /BIP	0.77%	÷0.904	×0.780	—	×1.022	0.68%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 96, 2B 91, 3B 80, K 103, BB 94 — 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 ×0.950.

Result: wOBA .306 → .225; ISO .076 → .057; BABIP .298 → .236. 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 ADunedin Blue Jays · 22 PAwOBA .419 → .372 (−47)K% 13.6% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.64%	÷1.017	×1.360	—	—	18.23%
BB% (unintentional) /PA	4.55%	÷1.050	×0.690	—	×1.050	3.14%
HBP% /PA	0.00%	—	×0.780	—	×1.050	0.00%
Singles /BIP	33.33%	÷1.005	×0.920	—	×1.050	32.03%
Doubles /BIP	5.56%	÷0.983	×0.830	—	×1.050	4.93%
Triples /BIP	0.00%	÷0.900	×0.910	—	×1.050	0.00%
Home runs /BIP	5.56%	÷0.916	×0.800	—	×1.050	5.09%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 101, 2B 97, 3B 80, K 103, BB 110 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .419 → .372; ISO .190 → .166; BABIP .412 → .389. 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 DSLDSL Blue Jays · 238 PAwOBA .343 → .229 (−114)K% 13.9% → 17.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.87%	÷0.988	×1.220	—	—	17.12%
BB% (unintentional) /PA	17.65%	÷1.038	×0.700	—	×1.022	12.17%
HBP% /PA	4.20%	—	×0.700	—	×1.022	3.01%
Singles /BIP	17.45%	÷1.019	×0.680	×0.950	×1.022	11.31%
Doubles /BIP	6.71%	÷0.994	×0.600	×0.950	×1.022	3.93%
Triples /BIP	2.01%	÷1.150	×0.600	×0.950	×1.022	1.02%
Home runs /BIP	1.34%	÷1.134	×0.470	—	×1.022	0.57%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 104, 2B 99, 3B 130, K 98, BB 108 — 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 ×0.950.

Result: wOBA .343 → .229; ISO .121 → .068; BABIP .258 → .160. 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
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
#3Todd Cruz'78-'84 * career totals — 5 seasons, 1,634 PA	2.5	1,634	34	9	215*	250*	348*	+13	+35	0.5	0.5
/162	664	14	4	+5.4	+14.2	0.2	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.5	304	5	7	193	257	295	+3	+3	-0.3	-0.2
/162	664	12	16	+7.1	+6.5	-0.7	pk7: 0
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Manuel Beltre (OGILVIE)	23	40	30	55	40	180/244/262	82	238	2	4	26%	6%	45	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alfredo Rodriguez 2017 · A	23	40→50	36→30	55→45	44	191/256/256	65	252	3	14	24%	6%	47	-2.5	215/255/269	54	276	3	10	22%	4%	48	-2.5	230/269/285	55	290	2	9	21%	4%	55	-1.3
✕Claudio Finol 2023 · AA	23	38	37→30	50→45	40	185/239/261	76	255	4	8	28%	6%	42	-2.9	210/271/302	92	296	8	10	30%	7%	63	-1.4	202/270/282	80	285	9	12	31%	7%	57	-0.4
✕Eduardo Torrealba 2023 · A	24	44	39→30	54→50	44	211/263/291	80	254	6	17	20%	5%	57	-1.8	209/267/282	73	262	5	14	21%	6%	57	-1.8	203/264/251	48	253	3	15	20%	6%	48	-1.3
✕Jon Murphy 2013 · A	23	37	38→30	47→50	39	183/234/259	76	262	5	13	31%	5%	39	-3.1	196/249/259	63	303	3	10	34%	6%	45	-2.7	190/244/242	52	297	3	10	35%	6%	35	-1.8
✕Andrew Sohn 2016 · A	23	45	38→30	52→55	40	214/265/290	76	279	6	18	25%	5%	58	-1.7	204/275/282	78	280	7	15	27%	7%	60	-1.6	171/262/224	52	238	5	18	28%	9%	41	-1.4
✕Alex Mooney 2024 · A	22	41→39	39→40	53→55	44	196/263/283	87	261	6	12	26%	6%	56	-1.9	190/263/289	99	265	8	27	30%	7%	58	-1.7	182/255/278	96	255	8	30	30%	7%	51	-1.8
✕Anthony Phillips 2013 · A	23	37→47	39→40	47→50	42	185/247/263	78	252	7	13	28%	7%	45	-2.7	202/268/290	88	274	7	7	27%	7%	59	-1.6	210/275/282	72	282	5	6	25%	7%	58	-1.2
✕Mariel Bautista 2021 · A	23	41→36	42→40	49→50	39	203/253/300	97	265	10	15	27%	5%	56	-1.9	210/256/331	121	304	12	11	34%	5%	64	-1.3	185/218/329	144	263	16	11	36%	3%	49	-0.6
✕Raul Siri 2018 · A	23	39	38→40	51→50	42	190/248/269	79	262	6	11	29%	7%	47	-2.6	198/262/281	83	345	5	9	41%	6%	55	-1.9	143/230/226	84	291	4	14	47%	8%	31	-0.7
✕Jack Winkler 2022 · A	23	40→41	38→40	48→55	40	193/248/273	79	268	4	10	28%	6%	47	-2.5	205/268/294	89	269	7	14	25%	6%	60	-1.6	190/257/276	86	252	7	18	26%	6%	49	-1.7
✕Onix Vega 2022 · A	23	44	38→30	51→45	45	210/281/291	81	271	6	7	24%	7%	65	-1.2	209/282/282	73	275	5	6	24%	8%	63	-1.4	198/277/253	56	260	4	5	23%	8%	53	-0.8
✕Fabian Pertuz 2024 · AA	23	35→36	40	51→55	36	179/227/266	87	258	7	13	33%	5%	38	-3.2	186/239/281	95	297	9	11	38%	6%	46	-2.6	156/208/244	89	265	10	7	43%	5%	24	-2.2
✕Jordan Sprinkle 2024 · A	23	40	37→30	54→65	40	193/252/263	71	286	6	16	33%	7%	47	-2.5	190/254/251	61	269	4	36	29%	7%	45	-2.7	186/252/236	50	259	3	50	27%	7%	39	-1.8
✕Brett Roberts 2024 · A	23	45	41→40	55→50	39	220/259/318	98	290	9	15	27%	5%	61	-1.5	209/254/308	99	300	9	12	32%	5%	57	-1.8	172/219/259	88	253	10	11	35%	5%	30	-1.3
✕Alfredo González 2015 · A	23	42	38→40	52→45	43	203/263/284	81	270	6	9	26%	6%	55	-1.9	233/294/296	63	311	4	6	24%	7%	70	-0.9	228/290/283	56	297	4	5	23%	7%	63	-0.7
✕Ross Kivett 2015 · A	23	44→48	38→40	52→50	46	213/271/293	80	261	6	11	20%	6%	61	-1.5	211/270/297	86	257	6	14	19%	7%	61	-1.5	204/267/290	86	249	6	15	20%	7%	56	-1.4
✕Tyler Palmer 2015 · A	23	40	38→40	52→50	42	195/246/274	79	250	5	12	24%	5%	47	-2.6	212/274/295	83	292	6	13	27%	7%	63	-1.4	212/285/284	72	296	5	17	28%	9%	60	-0.7
✕Franklin Rollin 2019 · AAA	23	42	40	50→55	41	207/252/298	91	255	7	18	22%	5%	54	-2.0	200/252/284	84	267	7	13	27%	5%	51	-2.2	145/193/180	35	204	3	13	29%	4%	3	-1.4
✕DJ Jenkins 2017 · A	23	45	34→30	50→55	43	212/260/262	51	273	2	17	23%	6%	49	-2.4	211/260/256	45	299	2	14	28%	6%	47	-2.5	207/255/236	30	295	1	15	29%	5%	38	-1.5
✕Omar Hernandez 2024 · AA	22	38	37→30	50→55	42	186/243/252	66	254	5	17	28%	6%	40	-3.0	203/247/266	63	270	5	18	25%	5%	45	-2.7	208/245/263	55	275	4	21	25%	4%	40	-1.5

Manuel Beltre

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps