Ronnyel Espinoza

2B DSL Cubs Red

Age 21 S/R 5'11" / 173 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1991ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Cubs Red	87	.215/.407/.308	1	6	34	—	.139/.279/.181
2025	19	ROKDSL Cubs Blue	91	.246/.449/.354	0	3	57	—	.151/.303/.205
2026	20	ROKDSL Cubs Red	46	.194/.422/.290	0	1	49	—	.139/.311/.222
2027PROJMLE	21	MLBCHC	156	.204/.293/.285	1	2	67	0.0
2028PROJ34% MLB	22	MLBCHC	29	.212/.299/.306	0	0	72	-0.0
2029PROJ50% MLB	23	MLBCHC	82	.216/.302/.319	1	1	76	-0.0

Next 3 projected WAR -0.0Projected 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

BB%98

Chase%96

wOBA57

wRC+55

ISO39

Whiff%39

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 33 proj PA

wRC+†67

AVG/OBP/SLG.203 / .291 / .282

PA33

HR0

K%28

BB%10

ISO80

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$0M ctrl surplus

Tools · Contract

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	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	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)
2024	18	ROK	DSL Cubs Red	—	87	65	14	1	1	1	20	15	1	6	2	215	407	308	715	92	265	17	23	340	34	—	—	—	—	—	—
2025	19	ROK	DSL Cubs Blue	—	91	65	16	3	2	0	22	18	2	3	1	246	449	354	803	108	327	20	24	372	57	—	—	—	—	—	—
2026	20	ROK	DSL Cubs Red	—	46	31	6	1	1	0	13	14	0	1	1	194	422	290	713	97	333	30	28	339	49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	18	ROK MLE	DSL Cubs Red	—	87	72	10	1	1	0	13	19	1	6	2	139	279	181	460	42	164	22	15	219	34	—	—	—	—	—	—
2025	19	ROK MLE	DSL Cubs Blue	—	91	73	11	2	1	0	14	22	2	3	1	151	303	205	509	55	201	24	15	253	57	—	—	—	—	—	—
2026	20	ROK MLE	DSL Cubs Red	—	46	36	5	1	1	0	9	17	0	1	1	139	311	222	533	83	214	37	20	240	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL Cubs Red	—	87	72	10	1	1	0	13	19	1	6	2	139	279	181	460	42	189	22	15	219	34	—	—	—	—	—	—
2024	18	ROK RAW	DSL Cubs Red	—	87	65	14	1	1	1	20	15	1	6	2	215	407	308	715	92	265	17	23	340	34	—	—	—	—	—	—
2025	19	ROK MLE	DSL Cubs Blue	—	91	73	11	2	1	0	14	22	2	3	1	151	303	205	509	55	208	24	15	253	57	—	—	—	—	—	—
2025	19	ROK RAW	DSL Cubs Blue	—	91	65	16	3	2	0	22	18	2	3	1	246	449	354	803	108	327	20	24	372	57	—	—	—	—	—	—
2026	20	ROK MLE	DSL Cubs Red	—	46	36	5	1	1	0	9	17	0	1	1	139	311	222	533	83	250	37	20	240	49	—	—	—	—	—	—
2026	20	ROK RAW	DSL Cubs Red	—	46	31	6	1	1	0	13	14	0	1	1	194	422	290	713	97	333	30	28	339	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL Cubs Red	—	87	73	10	1	1	0	13	19	1	6	2	137	279	178	457	41	164	22	15	219	34	—	—	—	—	—	—
2025	19	ROK MLE	DSL Cubs Blue	—	91	75	11	2	1	0	14	22	2	3	1	147	303	200	503	53	201	24	15	253	57	—	—	—	—	—	—
2026	20	ROK MLE	DSL Cubs Red	—	46	37	5	1	1	0	9	17	0	1	1	135	311	216	527	81	214	37	20	240	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Cubs Red	—	87	73	10	1	1	0	13	19	1	6	2	137	279	178	457	41	164	22	15	219	34	—	—	—	—	—	—
2025	19	ROK MLE	DSL Cubs Blue	—	91	75	11	2	1	0	14	22	2	3	1	147	303	200	503	53	201	24	15	253	57	—	—	—	—	—	—
2026	20	ROK MLE	DSL Cubs Red	—	46	37	5	1	1	0	9	17	0	1	1	135	311	216	527	81	214	37	20	240	49	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	CHC	0%	156	138	28	4	2	1	16	43	1	2	1	204	293	285	577	80	287	28	10	267	67	-6	+0	+0	+1	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	CHC	34%	86	76	16	2	1	1	9	24	1	1	0	209	297	300	596	91	288	28	10	274	72	-3	+0	+0	+0	+2	-0.1
2029	23	MLB MLE	CHC	50%	165	145	31	5	2	2	17	45	2	3	1	213	300	313	613	100	290	27	10	280	76	-5	+0	+0	+1	+4	-0.0
2030	24	MLB MLE	CHC	57%	247	218	49	8	3	4	25	66	2	4	1	217	303	324	626	107	291	27	10	285	79	-6	+0	+0	+1	+5	0.1
2031	25	MLB MLE	CHC	60%	315	278	61	10	3	5	31	84	3	5	1	219	305	332	637	113	291	27	10	289	82	-7	+1	+0	+1	+7	0.2
2032	26	MLB MLE	CHC	62%	359	318	69	11	3	6	35	95	3	5	1	221	306	340	645	118	291	26	10	292	84	-7	+1	+0	+1	+8	0.3
2033	27	MLB MLE	CHC	63%	379	336	74	12	4	7	37	101	3	5	1	220	305	337	642	117	290	27	10	291	83	-8	+1	+0	+1	+8	0.3
2034	28	MLB MLE	CHC	65%	386	342	75	12	4	7	38	103	3	4	1	218	303	332	635	114	289	27	10	288	81	-9	+0	-1	+1	+8	0.1
2035	29	MLB MLE	CHC	65%	382	339	73	12	3	6	37	103	3	3	1	215	300	325	625	110	288	27	10	284	79	-10	+0	-1	+1	+8	-0.1
2028	22	MLB CTX	CHC	34%	29	26	5	1	0	0	3	8	0	0	0	212	299	306	606	94	293	28	10	278	72	-1	+0	+0	+0	+1	-0.0
2029	23	MLB CTX	CHC	50%	82	73	16	3	1	1	8	22	1	1	0	216	302	319	621	103	294	27	10	283	76	-2	+0	+0	+0	+2	-0.0
2030	24	MLB CTX	CHC	57%	140	124	27	4	2	2	14	38	1	2	1	219	305	329	634	110	295	27	10	288	79	-3	+0	+0	+0	+3	0.0
2031	25	MLB CTX	CHC	60%	190	167	37	6	2	3	19	51	2	3	1	222	307	338	644	116	295	27	10	292	82	-4	+0	+0	+1	+4	0.1
2032	26	MLB CTX	CHC	62%	224	198	45	7	3	4	22	59	2	3	1	223	308	344	652	121	295	26	10	295	84	-4	+0	+0	+1	+5	0.2
2033	27	MLB CTX	CHC	63%	240	212	48	8	3	4	24	64	2	3	1	222	307	341	648	119	295	27	10	294	83	-5	+0	+0	+1	+5	0.1
2034	28	MLB CTX	CHC	65%	251	222	49	8	3	4	25	67	2	3	1	220	305	337	641	116	293	27	10	291	81	-6	+0	-0	+1	+5	0.0
2035	29	MLB CTX	CHC	65%	248	220	49	8	3	4	24	67	2	2	1	218	302	330	632	112	292	27	10	287	79	-6	+0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1404	1242	276	45	17	22	139	376	12	17	6	222	307	339	646	117	299	27	10	291	78	-32	+1	-1	+5	+30	0.3
/ 162G	—	A+C		—	650	575	128	21	8	10	64	174	6	8	3	223	307	339	646	117	299	27	10	291	78	-15	+0	-1	+2	+14	0.2
Career	—	MLE		—	2576	2263	479	77	26	38	268	688	23	41	11	212	301	319	621	107	284	27	10	283	78	-55	+3	-2	+8	+51	0.6
/ 162G	—	MLE		—	650	571	121	19	7	10	68	174	6	10	3	212	303	322	625	110	284	27	10	283	78	-15	+1	-1	+2	+14	0.2

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.

2026 DSLDSL Cubs Red · 46 PAwOBA .340 → .240 (−100)K% 30.4% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.43%	÷1.000	×1.220	—	—	37.13%
BB% (unintentional) /PA	28.26%	÷1.000	×0.700	—	×0.975	19.29%
HBP% /PA	0.00%	—	×0.700	—	×0.975	0.00%
Singles /BIP	23.53%	÷1.000	×0.680	—	×0.975	15.60%
Doubles /BIP	5.88%	÷1.000	×0.600	—	×0.975	3.44%
Triples /BIP	5.88%	÷1.000	×0.600	—	×0.975	3.44%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.975	0.00%

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 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .340 → .240; ISO .097 → .067; BABIP .333 → .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).

2025 DSLDSL Cubs Blue · 91 PAwOBA .369 → .253 (−116)K% 19.8% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.78%	÷1.001	×1.220	—	—	24.11%
BB% (unintentional) /PA	23.08%	÷1.006	×0.700	—	×0.985	15.81%
HBP% /PA	2.20%	—	×0.700	—	×0.985	1.52%
Singles /BIP	23.40%	÷1.016	×0.680	×0.950	×0.985	14.65%
Doubles /BIP	6.38%	÷0.928	×0.600	×0.950	×0.985	3.86%
Triples /BIP	4.26%	÷1.038	×0.600	×0.950	×0.985	2.30%
Home runs /BIP	0.00%	÷0.926	×0.470	—	×0.985	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 103, 2B 86, 3B 108, K 100, BB 101 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .369 → .253; ISO .108 → .069; BABIP .327 → .201. 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 DSLDSL Cubs Red · 87 PAwOBA .334 → .219 (−115)K% 17.2% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.24%	÷0.964	×1.220	—	—	21.81%
BB% (unintentional) /PA	22.99%	÷1.047	×0.700	—	×0.995	15.29%
HBP% /PA	1.15%	—	×0.700	—	×0.995	0.80%
Singles /BIP	22.00%	÷1.018	×0.680	×0.950	×0.995	13.88%
Doubles /BIP	2.00%	÷0.960	×0.600	×0.950	×0.995	1.18%
Triples /BIP	2.00%	÷1.000	×0.600	×0.950	×0.995	1.13%
Home runs /BIP	2.00%	÷1.025	×0.470	—	×0.995	0.91%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 104, 2B 92, 3B 100, K 93, BB 109 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .334 → .219; ISO .092 → .051; BABIP .265 → .164. 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 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	227	293	367	+2.4	+3.0	1.1	pk7: 4
#2Rene 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	236*	311*	337*	+1.6	+4.2	0.7	pk7: 4
#3Chris Woodward'99-'11 * career totals — 9 seasons, 1,896 PA	2.9	1,896	33	9	230*	288*	354*	+9	+15	1.1	2.4
	/162	664	12	3	230*	288*	354*	+3.1	+5.4	0.4	pk7: 4
#4Ryan 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
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.2	1,439	23	19	219	300	331	+5	+6	1.4	1.4
	/162	664	11	9	219	300	331	+2.4	+2.8	0.7	pk7: 1
#5Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
#5Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	/162	664	10	4	225*	286*	340*	+1.6	-0.1	-0.5	pk7: 1
#6Abraham 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	220	282	351	-0.2	-3.2	-0.2	pk7: -0

Ronnyel Espinoza

Career Stats + Projections

How the minor-league lines were translated

Career Comps