Yeisy Celesten

2B DSL Rangers Blue

Age 22 L/R 5'11" / 160 lbs ROK HR +15%BB +5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1797ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKDSL Rangers B…	110	.277/.450/.386	0	4	68	—	.191/.339/.270
2025	20	ROKDSL Rangers R…	144	.277/.426/.473	5	7	51	—	.165/.284/.248
2026	21	ROKDSL Rangers B…	192	.336/.487/.568	7	3	82	—	.196/.328/.304
2027PROJMLE	22	MLBTEX	302	.215/.301/.312	4	5	76	0.0
2028PROJ34% MLB	23	MLBTEX	47	.219/.304/.327	1	1	80	0.0
2029PROJ46% MLB	24	MLBTEX	98	.222/.307/.337	2	2	83	0.0

Next 3 projected WAR 0.1Projected 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

wOBA95

wRC+94

ISO90

Chase%90

Z-Con%84

BB%78

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

CompsSherman Johnson (age 23) · Jace Jung (age 22) · Hoy Park (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 100 proj PA

wRC+†76

AVG/OBP/SLG.213 / .298 / .310

PA100

HR1

K%26

BB%10

ISO98

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 54 / POW 44

Toolsscout grade

CONTACT54

scouting grade only

POWER44

scouting grade only

EYE71

scouting grade only

SPEED53

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	+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	19	ROK	DSL Rangers Blue	—	110	83	23	7	1	0	23	20	3	4	2	277	450	386	835	108	359	18	21	386	68	—	—	—	—	—	—
2025	20	ROK	DSL Rangers Red	—	144	112	31	7	0	5	27	29	2	7	2	277	426	473	899	196	321	20	19	395	51	—	—	—	—	—	—
2026	21	ROK	DSL Rangers Blue	—	192	146	49	7	3	7	38	33	5	3	0	336	487	568	1.055	233	385	17	20	456	82	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	DSL Rangers Blue	—	110	89	17	5	1	0	17	25	3	4	2	191	339	270	609	79	237	23	15	268	68	—	—	—	—	—	—
2025	20	ROK MLE	DSL Rangers Red	—	144	121	20	4	0	2	18	35	2	7	2	165	284	248	532	83	196	24	12	244	51	—	—	—	—	—	—
2026	21	ROK MLE	DSL Rangers Blue	—	192	158	31	4	2	3	26	40	5	3	0	196	328	304	632	108	228	21	14	289	82	—	—	—	—	—	—
2024	19	ROK MLE	DSL Rangers Blue	—	110	89	17	5	1	0	17	25	3	4	2	191	339	270	609	79	262	23	15	268	68	—	—	—	—	—	—
2024	19	ROK RAW	DSL Rangers Blue	—	110	83	23	7	1	0	23	20	3	4	2	277	450	386	835	108	359	18	21	386	68	—	—	—	—	—	—
2025	20	ROK MLE	DSL Rangers Red	—	144	121	20	4	0	2	18	35	2	7	2	165	284	248	532	83	207	24	12	244	51	—	—	—	—	—	—
2025	20	ROK RAW	DSL Rangers Red	—	144	112	31	7	0	5	27	29	2	7	2	277	426	473	899	196	321	20	19	395	51	—	—	—	—	—	—
2026	21	ROK MLE	DSL Rangers Blue	—	192	158	31	4	2	3	26	40	5	3	0	196	328	304	632	108	237	21	14	289	82	—	—	—	—	—	—
2026	21	ROK RAW	DSL Rangers Blue	—	192	146	49	7	3	7	38	33	5	3	0	336	487	568	1.055	233	385	17	20	456	82	—	—	—	—	—	—
2024	19	ROK MLE	DSL Rangers Blue	—	110	89	17	5	1	0	17	25	3	4	2	191	339	270	609	79	237	23	15	268	68	—	—	—	—	—	—
2025	20	ROK MLE	DSL Rangers Red	—	144	123	20	4	0	2	18	35	2	7	2	163	284	244	528	81	196	24	12	244	51	—	—	—	—	—	—
2026	21	ROK MLE	DSL Rangers Blue	—	192	159	31	4	2	3	26	40	5	3	0	195	328	302	630	107	228	21	14	289	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Rangers Blue	—	110	89	17	5	1	0	17	25	3	4	2	191	339	270	609	79	237	23	15	268	68	—	—	—	—	—	—
2025	20	ROK MLE	DSL Rangers Red	—	144	123	20	4	0	2	18	35	2	7	2	163	284	244	528	81	196	24	12	244	51	—	—	—	—	—	—
2026	21	ROK MLE	DSL Rangers Blue	—	192	159	31	4	2	3	26	40	5	3	0	195	328	302	630	107	228	21	14	289	82	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TEX	0%	302	267	57	10	2	4	29	80	3	5	1	215	301	312	613	98	288	26	10	281	76	-9	+1	+0	+1	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TEX	34%	138	122	27	5	1	2	13	36	2	3	1	218	304	324	628	106	289	26	9	286	80	-3	+0	+0	+0	+3	0.0
2029	24	MLB MLE	TEX	46%	213	188	42	7	2	4	21	55	2	4	1	221	306	333	639	112	290	26	10	291	83	-4	+0	+0	+1	+5	0.1
2030	25	MLB MLE	TEX	52%	278	246	55	10	2	5	27	71	3	5	2	223	307	340	647	117	291	26	10	294	85	-5	+0	+0	+1	+6	0.2
2031	26	MLB MLE	TEX	54%	326	288	65	12	2	6	31	83	4	6	2	224	308	345	653	120	290	25	10	296	86	-5	+0	+0	+1	+7	0.3
2032	27	MLB MLE	TEX	54%	350	310	69	12	2	7	33	89	4	7	2	224	308	345	653	121	290	25	9	296	86	-6	+1	+0	+1	+8	0.4
2033	28	MLB MLE	TEX	54%	358	317	71	13	2	7	34	92	4	6	2	223	306	340	646	118	289	26	9	293	84	-7	+0	-1	+1	+8	0.2
2034	29	MLB MLE	TEX	53%	356	315	69	12	2	6	34	93	4	6	2	220	303	334	637	114	288	26	10	289	82	-8	+0	-1	+1	+8	0.0
2035	30	MLB MLE	TEX	52%	349	309	67	12	2	6	33	92	4	5	2	217	299	326	625	109	286	26	9	284	79	-9	+0	-2	+1	+8	-0.2
2028	23	MLB CTX	TEX	34%	47	41	9	2	0	1	5	12	1	1	0	219	304	327	631	108	289	26	11	288	80	-1	+0	+0	+0	+1	0.0
2029	24	MLB CTX	TEX	46%	98	88	20	3	1	2	9	25	1	2	1	222	307	337	643	115	290	26	9	292	83	-2	+0	+0	+0	+2	0.0
2030	25	MLB CTX	TEX	52%	144	127	29	5	1	3	14	37	2	3	1	224	308	344	652	120	290	26	10	295	85	-3	+0	+0	+1	+3	0.1
2031	26	MLB CTX	TEX	54%	177	156	35	6	1	4	17	45	2	3	1	225	309	349	658	123	290	25	10	297	86	-3	+0	+0	+1	+4	0.2
2032	27	MLB CTX	TEX	54%	190	168	37	6	1	4	18	48	2	4	1	225	309	349	658	124	290	25	9	297	86	-3	+0	+0	+1	+4	0.2
2033	28	MLB CTX	TEX	54%	194	172	39	7	1	4	18	50	2	3	1	223	306	344	651	121	289	26	9	295	84	-4	+0	-0	+1	+4	0.1
2034	29	MLB CTX	TEX	53%	189	167	37	6	1	4	18	49	2	3	1	221	304	338	641	117	287	26	10	291	82	-4	+0	-1	+1	+4	0.0
2035	30	MLB CTX	TEX	52%	183	162	35	6	1	3	17	48	2	3	1	218	300	329	629	112	285	26	9	286	79	-5	+0	-1	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1222	1081	241	41	7	25	116	314	14	22	7	223	306	343	650	120	289	26	9	293	81	-24	+2	-2	+4	+26	0.6
/ 162G	—	A+C		—	650	575	128	22	4	13	62	167	7	12	4	223	306	343	649	120	289	26	10	293	81	-13	+1	-1	+2	+14	0.3
Career	—	MLE		—	2914	2552	552	99	19	49	297	737	38	58	18	216	307	328	635	111	282	25	10	288	81	-50	+3	-4	+9	+53	1.2
/ 162G	—	MLE		—	650	569	123	22	4	11	66	164	8	13	4	216	306	327	633	111	281	25	10	288	81	-13	+1	-1	+2	+14	0.3

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 DSLDSL Rangers Blue · 192 PAwOBA .452 → .289 (−163)K% 17.2% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.19%	÷1.000	×1.220	—	—	20.97%
BB% (unintentional) /PA	19.79%	÷1.000	×0.700	—	×0.975	13.51%
HBP% /PA	2.60%	—	×0.700	—	×0.975	1.78%
Singles /BIP	28.32%	÷1.000	×0.680	×0.950	×0.975	17.84%
Doubles /BIP	6.19%	÷1.000	×0.600	×0.950	×0.975	3.44%
Triples /BIP	2.65%	÷1.000	×0.600	×0.950	×0.975	1.48%
Home runs /BIP	6.19%	÷1.000	×0.470	—	×0.975	2.84%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .452 → .289; ISO .233 → .125; BABIP .385 → .228. 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 Rangers Red · 144 PAwOBA .394 → .244 (−150)K% 20.1% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.14%	÷1.004	×1.220	—	—	24.48%
BB% (unintentional) /PA	18.75%	÷1.034	×0.700	—	×0.985	12.51%
HBP% /PA	1.39%	—	×0.700	—	×0.985	0.96%
Singles /BIP	22.89%	÷0.993	×0.680	×0.994	×0.985	15.36%
Doubles /BIP	8.43%	÷1.108	×0.600	×0.994	×0.985	4.47%
Triples /BIP	0.00%	÷0.900	×0.600	×0.994	×0.985	0.00%
Home runs /BIP	6.02%	÷1.259	×0.470	—	×0.985	2.22%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 152, 1B 99, 2B 122, 3B 80, K 101, BB 107 — 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 ×0.994.

Result: wOBA .394 → .244; ISO .196 → .089; BABIP .321 → .196. 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 Rangers Blue · 110 PAwOBA .381 → .268 (−113)K% 18.2% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.988	×1.220	—	—	22.45%
BB% (unintentional) /PA	20.91%	÷0.955	×0.700	—	×0.995	15.25%
HBP% /PA	2.73%	—	×0.700	—	×0.995	1.90%
Singles /BIP	23.81%	÷1.017	×0.680	×1.028	×0.995	16.28%
Doubles /BIP	11.11%	÷0.986	×0.600	×1.028	×0.995	6.91%
Triples /BIP	1.59%	÷1.150	×0.600	×1.028	×0.995	0.85%
Home runs /BIP	0.00%	÷1.059	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 103, 2B 97, 3B 130, K 98, BB 91 — 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 ×1.028.

Result: wOBA .381 → .268; ISO .108 → .069; BABIP .359 → .237. 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
#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
#2Adam 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
#3Rene 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
#4Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.0	1,322	23	24	222	302	337	+5	+5	1.5	1.5
/162	664	12	12	+2.4	+2.5	0.8	pk7: 1
#5Phil Linz'62-'68 * career totals — 7 seasons, 1,518 PA	2.3	1,518	11	13	238*	301*	338*	+10	-0	0.7	0.7
/162	664	5	6	+4.3	-0.2	0.3	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	-0.2	-3.2	-0.2	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
Yeisy Celesten (OGILVIE)	22	49→54	39→44	48→53	71	213/298/310	97	288	1	2	26%	10%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sherman Johnson 2013 · A	23	45→49	39→45	52→50	53	213/301/306	94	282	6	9	25%	11%	76	-0.4	219/297/329	110	279	8	12	23%	9%	79	-0.2	210/291/324	114	260	9	14	22%	10%	73	-0.6
✕Jace Jung 2023 · A	22	45→44	39→50	50→40	51	211/295/304	92	294	6	7	28%	11%	73	-0.6	220/306/378	158	292	18	4	29%	10%	94	+0.9	214/306/374	160	280	19	3	29%	11%	91	+0.6
✕Hoy Park 2018 · A	22	44→52	39→45	58→55	46	208/280/301	93	279	6	17	26%	8%	66	-1.1	228/306/313	85	303	5	16	24%	9%	78	-0.3	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Miles Mastrobuoni 2018 · A	22	46→56	37→45	49→60	48	220/278/292	73	277	5	13	22%	8%	63	-1.4	239/298/310	71	316	4	12	24%	8%	74	-0.5	253/317/360	108	325	8	21	23%	8%	89	+0.4
✕Kevin Kramer 2016 · A	22	46→56	40→50	54→50	44	220/276/315	95	281	6	12	24%	6%	68	-1.0	247/303/358	111	313	8	8	22%	6%	88	+0.4	257/312/379	122	332	9	8	24%	6%	94	+0.6
✕Colin Walsh 2012 · A	22	43→52	41→45	50	53	207/286/311	104	254	8	9	21%	10%	71	-0.8	233/303/355	122	292	11	7	23%	9%	87	+0.4	214/321/331	117	302	10	7	29%	13%	87	+0.3
✕Chris Pieters 2017 · A	22	48	39→45	54→55	48	225/305/313	88	293	6	17	24%	8%	79	-0.2	206/264/295	89	290	5	12	29%	6%	58	-1.7	195/251/286	91	274	5	13	29%	6%	49	-0.9
✕Kyle Kubitza 2012 · A	22	49→57	38→50	51→50	45	225/287/318	93	319	4	10	29%	8%	72	-0.7	209/286/330	121	322	9	10	34%	9%	75	-0.5	224/300/357	133	338	9	10	34%	9%	85	+0.2
✕Dan Robinson 2019 · A	22	51	38→40	51→50	51	240/301/329	89	282	4	10	16%	8%	80	-0.2	211/279/287	76	278	4	7	23%	8%	63	-1.4	191/267/255	64	255	2	5	24%	9%	47	-1.6
✕Jacob Gonzalez 2024 · A	22	44→45	38→45	46→50	51	208/290/285	76	270	6	6	24%	9%	67	-1.1	218/275/329	111	256	11	12	19%	6%	71	-0.8	220/279/347	127	253	14	13	19%	6%	75	-0.4
✕Anthony Seigler 2021 · A	22	43→40	37→45	49→55	47	202/280/276	75	285	5	6	29%	9%	61	-1.5	191/285/298	107	268	9	9	29%	11%	69	-0.9	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Javi Vaz 2023 · A	22	46→50	40	47→55	52	219/293/316	97	267	6	10	20%	9%	75	-0.5	227/301/321	94	255	7	18	14%	9%	78	-0.3	224/300/308	85	249	7	20	12%	9%	73	-0.6
✕Adam Haseley 2018 · A	22	46→56	42→45	47→50	43	226/275/336	111	293	9	7	26%	6%	72	-0.7	257/308/371	114	318	11	7	22%	6%	93	+0.8	251/304/360	109	310	11	9	22%	6%	87	+0.3
✕Logan Vick 2014 · A	23	48	41→45	51→50	54	224/317/329	105	303	7	15	26%	12%	86	+0.3	193/282/288	95	290	7	13	32%	11%	65	-1.2	145/247/224	79	228	5	13	35%	11%	36	-2.2
✕Spencer Nivens 2024 · A	22	41→49	41→45	48→50	52	199/280/294	96	255	8	14	24%	10%	65	-1.2	208/277/334	126	276	13	11	28%	9%	73	-0.6	211/281/333	122	272	12	12	26%	9%	73	-0.5
✕Conner Crumbliss 2010 · A	23	49→48	40→45	50	50	230/314/332	102	296	6	10	23%	9%	86	+0.3	223/325/314	91	283	6	14	21%	13%	86	+0.3	218/327/309	92	274	7	16	20%	13%	85	+0.2
✕Nolan Fontana 2014 · A	23	45	40	52→50	60	209/326/308	98	294	7	14	28%	14%	86	+0.3	210/308/299	89	309	4	9	29%	12%	77	-0.3	186/292/310	124	256	11	12	29%	12%	73	-0.3
✕Corey Toups 2015 · A	22	49→50	40→45	54→50	51	231/309/335	104	297	6	8	23%	9%	85	+0.2	226/287/340	114	308	8	16	28%	7%	78	-0.3	219/280/337	118	305	9	18	29%	6%	72	-0.6
✕Yoel Yanqui 2018 · A	22	47→52	38→40	56→50	50	222/291/309	87	285	4	12	22%	9%	72	-0.7	226/279/313	87	310	6	11	27%	7%	68	-1.0	219/276/310	91	303	7	11	28%	7%	65	-0.8
✕Ryne Malone 2007 · A	22	48	41→45	48→50	49	227/297/333	106	290	6	10	23%	8%	80	-0.2	215/279/310	95	272	7	6	22%	7%	68	-1.0	197/264/276	80	244	5	1	20%	7%	53	-1.0

Yeisy Celesten

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps