Ivan Torres

C DSL Tampa Bay

Age 19 R/R 5'11" / 220 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#666ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKTB	135	.294/.463/.373	0	4	78	—	.213/.366/.269
2026	18	ROKDSL Tampa Bay	134	.333/.455/.398	1	0	68	—	.228/.333/.281
2027PROJMLE	19	MLBTB	244	.239/.318/.316	2	4	83	0.2
2028PROJ34% MLB	20	MLBTB	43	.245/.324/.331	0	1	87	0.1
2029PROJ48% MLB	21	MLBTB	107	.247/.327/.341	1	2	91	0.3

Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

K%98

Z-Con%90

Whiff%84

wOBA79

wRC+79

Chase%47

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsIván De Jesús Jr. (age 21) · Ronald Torreyes (age 19) · Euribiel Angeles (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 69 proj PA

wRC+†83

AVG/OBP/SLG.237 / .315 / .314

PA69

HR1

K%21

BB%8

ISO78

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$44M ctrl surplus

Tools · ContractCON 79 / POW 34

Toolsscout grade

CONTACT79

scouting grade only

POWER34

scouting grade only

EYE62

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2034	Pre-Arb	$1.0M	+1.0	$5M	+$4M
2035	Pre-Arb	$1.0M	+0.9	$2M	+$2M
2036	Arb-1	$3M	+0.8	$2M	+$0.3M
2037	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2038	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$16M	+$11M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2025	17	ROK	DSL Rays	—	135	102	30	8	0	0	20	12	12	4	2	294	463	373	835	78	330	9	15	392	78	—	—	—	—	—	—
2026	18	ROK	DSL Tampa Bay	—	134	108	36	4	0	1	19	11	5	0	0	333	455	398	853	65	357	8	14	390	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rays	—	135	108	23	6	0	0	14	15	12	4	2	213	366	269	634	56	231	11	10	283	78	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	134	114	26	3	0	1	13	13	5	0	0	228	333	281	614	53	234	10	10	268	68	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	135	108	23	6	0	0	14	15	12	4	2	213	366	269	634	56	245	11	10	283	78	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rays	—	135	102	30	8	0	0	20	12	12	4	2	294	463	373	835	78	330	9	15	392	78	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	134	114	26	3	0	1	13	13	5	0	0	228	333	281	614	53	245	10	10	268	68	—	—	—	—	—	—
2026	18	ROK RAW	DSL Tampa Bay	—	134	108	36	4	0	1	19	11	5	0	0	333	455	398	853	65	357	8	14	390	68	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	135	108	23	6	0	0	14	15	12	4	2	213	366	269	634	56	231	11	10	283	78	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	134	115	26	3	0	1	13	13	5	0	0	226	333	278	612	52	234	10	10	268	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Rays	—	135	108	23	6	0	0	14	15	12	4	2	213	366	269	634	56	231	11	10	283	78	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	134	115	26	3	0	1	13	13	5	0	0	226	333	278	612	52	234	10	10	268	68	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	TB	0%	244	217	52	9	1	2	20	51	5	4	1	239	318	316	634	78	301	21	8	291	83	-5	+0	+0	+4	+5	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	TB	34%	124	110	26	4	1	1	10	26	3	2	1	242	322	329	651	87	302	21	8	297	87	-2	+0	+0	+2	+3	0.3
2029	21	MLB MLE	TB	48%	221	196	48	8	1	3	18	46	5	4	2	244	324	339	664	95	303	21	8	302	91	-2	+0	+0	+4	+5	0.6
2030	22	MLB MLE	TB	54%	333	295	73	12	2	5	28	69	7	6	2	246	326	348	674	102	303	21	8	306	93	-3	+0	+0	+6	+7	1.1
2031	23	MLB MLE	TB	57%	412	366	89	15	2	6	34	85	9	8	3	248	327	355	682	107	303	21	8	309	95	-2	+0	+0	+7	+9	1.5
2032	24	MLB MLE	TB	57%	445	396	99	17	2	8	37	92	9	8	3	249	328	361	689	112	304	21	8	312	97	-2	+0	+0	+8	+10	1.7
2033	25	MLB MLE	TB	57%	445	396	99	17	2	8	37	92	9	8	3	249	328	362	690	113	304	21	8	312	97	-1	+0	+0	+8	+10	1.7
2034	26	MLB MLE	TB	56%	445	396	99	17	2	8	37	92	9	8	3	249	328	363	691	113	304	21	8	312	98	-1	+0	+0	+8	+10	1.7
2035	27	MLB MLE	TB	55%	445	396	98	17	2	8	37	93	9	8	4	248	327	360	687	112	303	21	8	311	97	-2	+0	+0	+8	+10	1.6
2036	28	MLB MLE	TB	55%	445	396	96	16	2	7	37	94	9	7	4	246	325	355	681	109	302	21	8	308	95	-3	-0	-1	+8	+10	1.4
2037	29	MLB MLE	TB	53%	445	396	96	16	2	7	37	95	9	7	4	244	323	349	672	105	301	21	8	305	92	-4	-0	-1	+8	+10	1.2
2038	30	MLB MLE	TB	53%	445	396	96	16	2	7	37	96	9	7	4	241	319	341	660	100	300	22	8	300	89	-6	-0	-2	+8	+10	1.0
2039	31	MLB MLE	TB	52%	426	380	91	15	2	6	35	94	8	5	6	237	315	331	646	94	297	22	8	294	85	-7	-1	-3	+8	+9	0.5
2040	32	MLB MLE	TB	52%	407	363	84	13	2	5	33	92	8	4	10	232	309	319	628	87	294	23	8	287	80	-10	-3	-4	+7	+9	-0.0
2028	20	MLB CTX	TB	34%	43	38	9	2	0	0	4	9	1	1	0	245	324	331	655	86	306	21	9	299	87	-1	+0	+0	+1	+1	0.1
2029	21	MLB CTX	TB	48%	107	95	24	4	1	1	9	22	2	2	1	247	327	341	668	94	307	21	8	304	91	-1	+0	+0	+2	+2	0.3
2030	22	MLB CTX	TB	54%	181	160	39	6	1	2	15	37	4	3	1	249	328	349	678	100	307	20	8	308	93	-1	+0	+0	+3	+4	0.6
2031	23	MLB CTX	TB	57%	233	207	51	8	1	4	19	48	5	4	2	250	330	356	685	106	307	21	8	311	95	-1	+0	+0	+4	+5	0.8
2032	24	MLB CTX	TB	57%	252	224	55	9	1	4	21	52	5	5	2	251	330	361	691	110	308	21	8	313	97	-1	+0	+0	+4	+5	0.9
2033	25	MLB CTX	TB	57%	251	223	55	9	1	4	21	52	5	5	2	252	331	363	693	111	308	21	8	314	97	-1	+0	+0	+4	+5	1.0
2034	26	MLB CTX	TB	56%	251	223	55	9	1	4	21	52	5	5	2	252	331	363	694	112	307	21	8	314	98	-1	+0	+0	+4	+5	1.0
2035	27	MLB CTX	TB	55%	247	219	54	9	1	4	21	52	5	4	2	251	330	360	690	110	307	21	9	312	97	-1	+0	+0	+4	+5	0.9
2036	28	MLB CTX	TB	55%	244	217	54	9	1	4	20	51	5	4	2	249	328	356	684	107	306	21	8	310	95	-1	+0	-0	+4	+5	0.8
2037	29	MLB CTX	TB	53%	238	211	52	8	1	4	20	51	5	4	2	247	325	350	675	103	305	21	8	306	92	-2	+0	-1	+4	+5	0.7
2038	30	MLB CTX	TB	53%	234	208	50	8	1	3	19	51	5	3	2	244	322	342	664	98	304	22	8	302	89	-3	-0	-1	+4	+5	0.5
2039	31	MLB CTX	TB	52%	222	198	47	7	1	3	18	49	4	3	3	240	317	332	649	92	301	22	8	296	85	-4	-1	-1	+4	+5	0.3
2040	32	MLB CTX	TB	52%	211	188	44	7	1	2	17	48	4	2	5	235	311	320	631	85	298	23	8	289	80	-5	-2	-2	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2714	2411	589	95	12	39	225	574	55	45	26	244	323	342	665	98	304	21	8	307	91	-23	-1	-6	+48	+59	7.9
/ 162G	—	A+C		—	650	577	141	23	3	9	54	137	13	11	6	244	323	341	664	97	304	21	8	307	91	-6	-0	-1	+12	+14	1.9
Career	—	MLE		—	5376	4765	1157	194	24	81	450	1108	122	87	51	243	324	345	669	102	299	21	8	303	91	-46	-3	-10	+91	+111	14.5
/ 162G	—	MLE		—	650	576	140	23	3	10	54	134	15	11	6	243	324	345	669	102	299	21	8	303	91	-6	-0	-1	+12	+14	1.9

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.

2026 DSLDSL Tampa Bay · 134 PAwOBA .386 → .268 (−118)K% 8.2% → 10.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.21%	÷1.000	×1.220	—	—	10.01%
BB% (unintentional) /PA	14.18%	÷1.000	×0.700	—	×1.008	10.00%
HBP% /PA	3.73%	—	×0.700	—	×1.008	2.63%
Singles /BIP	31.96%	÷1.000	×0.680	×0.973	×1.008	21.30%
Doubles /BIP	4.12%	÷1.000	×0.600	×0.973	×1.008	2.43%
Triples /BIP	0.00%	÷1.000	×0.600	×0.973	×1.008	0.00%
Home runs /BIP	1.03%	÷1.000	×0.470	—	×1.008	0.49%

Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .386 → .268; ISO .065 → .037; BABIP .357 → .234. 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 DSLDSL Rays · 135 PAwOBA .386 → .283 (−103)K% 8.9% → 10.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.89%	÷1.003	×1.220	—	—	10.81%
BB% (unintentional) /PA	14.81%	÷1.020	×0.700	—	×1.022	10.39%
HBP% /PA	8.89%	—	×0.700	—	×1.022	6.36%
Singles /BIP	24.44%	÷0.985	×0.680	×1.023	×1.022	17.65%
Doubles /BIP	8.89%	÷0.989	×0.600	×1.023	×1.022	5.64%
Triples /BIP	0.00%	÷1.150	×0.600	×1.023	×1.022	0.00%
Home runs /BIP	0.00%	÷1.022	×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 104, 1B 97, 2B 98, 3B 130, K 101, BB 104 — 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 ×1.023.

Result: wOBA .386 → .283; ISO .078 → .054; BABIP .330 → .231. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Omar Narváezlast yr '24 career totals — 9 seasons, 2,298 PA	3.5	2,298	53	0	251	334	374	+41	+15	12.6	12.9
/162	664	15	0	+11.9	+4.3	3.6	pk7: 13
#3Dave Rader'71-'80 * career totals — 9 seasons, 2,702 PA	4.1	2,702	30	8	254*	323*	380*	+47	+0	9.3	9.4
/162	664	7	2	+11.5	+0.0	2.3	pk7: 10
#4Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9
#5Jorge Alfarolast yr '23 career totals — 7 seasons, 1,693 PA	2.5	1,693	48	18	254	303	396	+30	+17	9.1	9.1
/162	664	19	7	+11.9	+6.6	3.6	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.2	2,783	42	46	246	321	350	+50	+32	10.0	8.6
/162	664	10	11	+11.9	+7.6	2.4	pk7: 7
#6Jake Gibbs'63-'71 * career totals — 7 seasons, 1,795 PA	2.7	1,795	25	28	244*	299*	362*	+32	+0	5.4	5.4
/162	664	9	10	+11.9	+0.0	2.0	pk7: 5

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
Ivan Torres (OGILVIE)	19	74→79	29→34	45→50	62	237/315/314	77	301	1	1	21%	8%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Iván De Jesús Jr. 2008 · A	21	55→65	36→45	47→50	50	256/316/323	67	317	3	9	20%	8%	84	+0.1	274/332/360	86	335	6	10	18%	8%	98	+1.2	272/328/355	83	335	6	8	19%	7%	93	+0.8
✕Ronald Torreyes 2012 · A	19	62→59	40→45	51→50	46	295/335/400	105	316	6	14	9%	4%	108	+1.9	259/304/349	90	280	4	10	9%	5%	85	+0.2	266/297/345	79	303	3	3	13%	4%	82	-0.0
✕Euribiel Angeles 2022 · A	20	56→62	39→40	51→50	44	263/313/353	91	333	5	13	22%	6%	90	+0.6	245/277/329	84	298	6	13	19%	4%	70	-0.8	243/278/327	84	280	6	17	15%	4%	67	-0.9
✕Rubén Tejada 2008 · A	18	51→61	38→40	51→50	50	240/318/319	79	291	5	13	18%	8%	85	+0.2	237/292/307	70	286	3	9	17%	6%	72	-0.7	264/320/329	64	312	2	6	15%	6%	86	+0.3
●Jose Tabata 2008 · A	19	57→62	39→45	49→55	43	270/322/358	89	341	7	14	22%	5%	95	+0.9	274/324/368	94	329	7	18	18%	6%	97	+1.1	284/341/385	101	328	6	26	14%	7%	107	+1.5
●Chance Sisco 2014 · A	19	54→64	38→50	47→40	47	247/319/327	80	341	5	6	27%	8%	86	+0.3	281/335/373	92	363	6	4	22%	7%	102	+1.5	296/352/391	94	378	6	3	22%	7%	110	+1.5
✕Ke'Bryan Hayes 2016 · A	19	51→57	35→50	51→50	48	237/305/292	56	305	2	9	22%	7%	73	-0.6	238/293/326	88	307	6	12	23%	6%	76	-0.4	255/311/393	138	311	13	16	21%	7%	99	+1.0
●Luis Urías 2016 · A	19	54→64	34→55	41→45	49	249/310/301	51	285	2	10	13%	6%	76	-0.4	279/343/370	91	324	6	6	15%	7%	105	+1.7	281/352/379	98	336	6	5	17%	8%	107	+1.7
●Alcides Escobar 2006 · A	19	52→62	37→45	53→55	38	244/272/326	82	309	3	16	22%	3%	68	-1.0	262/289/332	70	325	3	20	20%	3%	75	-0.5	292/321/371	79	349	4	27	17%	3%	93	+0.8
✕Alejo Lopez 2016 · A	20	51→61	38→40	46→55	51	239/308/319	80	277	4	9	15%	7%	80	-0.1	229/282/302	73	267	4	10	15%	6%	66	-1.1	269/335/357	88	309	5	12	14%	8%	96	+0.8
✕Josh Morgan 2015 · A	19	52→57	35→45	45→40	51	240/324/298	58	290	2	6	17%	8%	82	+0.0	253/313/325	72	305	5	5	17%	6%	83	+0.1	256/310/332	76	305	6	4	17%	6%	81	-0.1
✕Kean Wong 2015 · A	20	57→63	36→45	48→55	41	269/302/333	63	340	3	10	21%	4%	80	-0.2	257/294/327	70	326	4	12	21%	5%	76	-0.4	262/307/372	111	343	9	9	25%	5%	89	+0.4
✕Demetrio Crisantes 2024 · A	19	48→58	38→50	46→55	43	227/284/313	85	310	5	7	27%	6%	70	-0.9	250/317/366	116	315	9	13	22%	8%	95	+0.9	258/328/389	130	318	10	12	21%	8%	102	+0.8
✕Orlando Arcia 2015 · A	20	53→59	38→50	52→55	46	251/295/341	89	294	5	18	16%	6%	80	-0.2	254/292/370	116	306	8	18	19%	5%	85	+0.2	243/304/399	156	273	20	3	19%	7%	98	+0.8
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
●Xavier Edwards 2019 · A	19	53→63	37→40	56→60	50	245/308/320	75	309	3	18	21%	8%	80	-0.2	257/303/319	62	306	1	19	15%	6%	77	-0.3	308/366/390	82	353	4	36	13%	8%	116	+2.2
✕Osleivis Basabe 2022 · A	21	52→62	38→45	56→50	45	246/290/332	86	302	5	15	20%	6%	76	-0.4	264/309/368	104	320	5	15	18%	5%	91	+0.7	268/314/373	105	323	5	15	18%	5%	91	+0.5
●Jackson Holliday 2023 · A	19	51→61	41→50	49→50	60	240/338/346	106	301	8	10	21%	13%	98	+1.2	254/339/391	137	339	12	14	26%	11%	109	+2.0	249/334/388	139	323	13	15	25%	11%	105	+1.7
✕Jasson Atondo 2016 · AAA	20	51→61	39→30	48→50	46	245/284/338	94	284	6	9	16%	5%	75	-0.5	227/269/314	87	267	6	11	17%	5%	64	-1.3	292/321/350	57	324	3	12	11%	4%	87	+0.2
✕Albert Almora Jr. 2014 · A	20	54→59	41→45	48→50	43	258/294/367	109	300	7	8	17%	4%	86	+0.3	251/279/363	112	292	8	7	17%	3%	79	-0.2	280/312/395	115	326	10	5	17%	4%	99	+0.9

Ivan Torres

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps