Gilberto Celestino

Gilberto CelestinoCF Syracuse Mets

Age 27 R/L 6'0" / 170 lbs AAA H +5%HR +3% Svc 5.000 · Ctrl thru 2026 peak 0.1 · 2026

wRC+†72

AVG/OBP/SLG.225 / .295 / .313

PA350

HR5

SB8

K%25

BB%8

xwOBA.275

Barrel%2.5%

MLB%10%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

50→50

EYE

48↗55

trajectory · 10 yrs

0.1peak

2026

Barrel%

102.5

xwOBA

210.275

Avg EV

2687.3

Whiff%

650.094

Chase%

820.255

Speed

6027.9

Contract

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

Status Arb-3

MLB Debut 2021

Service 5.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$1M	+0.1	$0.4M	+$0.0M (cut)
Totals		$0.4M		$0.4M	+$0.0M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2016	17	ROK	GCL Astros	230	204	40	9	3	2	20	56	2	15	3	.196	.274	.299	.573	.103	.253	24	9	.250	50	-13	+2	+0	+1	+7	-0.4
2017	18	ROK	Greeneville Astros	261	243	48	7	1	3	14	84	1	10	2	.198	.244	.272	.516	.074	.285	32	5	.230	34	-19	+1	+0	+1	+7	-1.0
2018	19	ROK	Elizabethton Twins	117	111	24	3	1	1	4	23	1	8	2	.216	.250	.288	.538	.072	.261	20	3	.227	32	-9	+1	+0	+0	+3	-0.5
2019	20	A	2 teams	536	494	112	23	2	8	36	112	4	14	8	.227	.285	.330	.615	.103	.277	21	7	.271	66	-21	-0	+0	+2	+15	-0.4
2021	22	AAA	4 teams	389	356	76	19	0	8	28	103	5	4	1	.213	.280	.334	.614	.121	.278	26	7	.271	66	-15	+0	-2	+1	+11	-0.4
2022	23	MLB	2 teams	372	334	78	13	1	2	34	83	2	4	2	.234	.308	.296	.605	.063	.305	22	9	.276	70	-13	+0	+1	+1	+11	0.0
2023	24	AAA	2 teams	263	228	49	7	3	4	29	52	4	5	3	.215	.314	.325	.639	.110	.260	20	11	.286	77	-7	-0	+0	+1	+7	0.1
2024	25	AAA	2 teams	302	279	69	12	0	2	21	73	2	9	2	.247	.305	.312	.616	.065	.328	24	7	.280	72	-9	+1	+0	+1	+9	0.1
2025	26	AAA	2 teams	635	578	143	15	2	10	52	169	2	35	4	.247	.312	.332	.644	.085	.332	27	8	.285	76	-17	+5	+0	+2	+18	0.9
▸ 2026 Season
2026	27	MLB	NYM	350	315	72	11	1	5	29	86	3	8	2	.229	.300	.317	.617	.089	.293	25	8	.280	72	-11	+1	+0	+1	+10	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 20%	NYM	388	349	78	12	1	5	33	96	3	8	1	.223	.296	.307	.603	.083	.293	25	9	.279	71	-13	+1	-0	+1	+11	0.1
2028	29	MLB 33%	NYM	387	348	78	12	1	5	33	97	3	8	1	.224	.297	.307	.604	.083	.292	25	9	.277	70	-13	+1	-1	+1	+11	-0.1
2029	30	MLB 43%	NYM	386	347	77	11	1	5	33	98	3	7	1	.222	.295	.303	.598	.081	.291	25	9	.274	68	-14	+1	-2	+1	+11	-0.2
2030	31	MLB 52%	NYM	371	334	74	11	1	5	31	96	3	5	0	.222	.293	.305	.599	.084	.290	26	8	.270	65	-15	+1	-2	+1	+11	-0.4
2031	32	MLB 64%	NYM	352	317	69	10	1	4	30	93	2	3	0	.218	.289	.293	.583	.076	.289	26	9	.266	62	-15	+1	-3	+1	+10	-0.7
2032	33	MLB 73%	NYM	322	290	62	9	1	3	27	87	2	2	0	.214	.285	.283	.568	.069	.288	27	8	.261	58	-15	+0	-4	+1	+9	-0.9
2033	34	MLB 81%	NYM	278	251	53	7	1	3	23	77	2	1	0	.211	.283	.283	.565	.072	.287	28	8	.255	53	-15	+0	-5	+1	+8	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			5939	5378	1202	191	21	75	477	1485	44	146	32	.224	.292	.309	.601	.085	.293	25	8	.270	65	-234	+16	-16	+21	+168	-4.6
/ 162G	—			650	589	131	21	2	8	52	163	5	16	4	.222	.291	.306	.597	.083	.292	25	8	.270	65	-26	+2	-2	+2	+18	-0.5

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2016	17	ROK	GCL Astros	230	191	49	12	4	2	33	39	2	15	3	.257	.372	.393	.764	.136	.305	17	14	.342	120	+5	+2	—	—	+7	1.4
2017	18	ROK	Greeneville Astros	261	235	63	10	2	4	22	59	1	10	2	.268	.333	.379	.712	.111	.339	23	8	.318	102	+0	+1	—	—	+7	0.9
2018	19	ROK	Elizabethton Twins	117	109	29	4	1	1	6	16	1	8	2	.266	.310	.349	.659	.083	.301	14	5	.295	84	-2	+1	—	—	+3	0.2
2019	20	A+	Fort Myers Miracle	33	30	9	4	0	0	2	4	0	0	0	.300	.344	.433	.777	.133	.333	12	6	.335	115	+1	+0	—	—	+1	0.2
2019	20	A	Cedar Rapids Kernels	503	450	124	24	3	10	48	81	4	14	8	.276	.351	.409	.759	.133	.317	16	10	.341	119	+11	-0	—	—	+14	2.5
2021	22	MLB	Minnesota Twins	62	59	8	3	0	2	3	14	0	0	0	.136	.177	.288	.466	.153	.140	23	5	.207	16	-6	+0	-2	+1	+2	-0.4
2021	22	AAA	St. Paul Saints	211	183	53	13	0	5	24	43	4	4	0	.290	.384	.443	.827	.153	.356	20	11	.372	143	+10	+1	—	—	+6	1.7
2021	22	AA	Wichita Wind Surge	96	84	21	5	0	2	11	24	1	0	1	.250	.344	.381	.725	.131	.328	25	11	.330	111	+1	-0	—	—	+3	0.4
2021	22	INTL	Toros del Este	20	16	1	0	0	0	4	5	0	0	0	.062	.250	.062	.312	.000	.091	25	20	.185	0	-2	+0	—	—	+1	-0.2
2022	23	MLB	Minnesota Twins	347	311	74	12	1	2	32	77	2	4	1	.238	.313	.302	.615	.064	.310	22	9	.283	75	-10	+0	+1	+1	+10	0.3
2022	23	INTL	Toros del Este	25	18	6	2	0	0	7	2	0	0	1	.333	.520	.444	.964	.111	.375	8	28	.443	197	+3	-0	—	—	+1	0.3
2023	24	AAA	St. Paul Saints	233	185	45	11	2	4	42	37	4	4	2	.243	.394	.389	.783	.146	.283	16	18	.357	132	+8	+0	—	—	+7	1.5
2023	24	INTL	Aguilas Cibaenas	30	24	6	0	0	0	6	6	0	1	1	.250	.400	.250	.650	.000	.333	20	20	.321	103	+0	-0	—	—	+1	0.1
2024	25	AAA	Iowa Cubs	284	255	70	13	0	3	27	57	2	9	1	.275	.349	.361	.709	.086	.344	20	10	.324	106	+2	+1	—	—	+8	1.2
2024	25	INTL	Aguilas Cibaenas	18	13	2	2	0	0	5	5	0	0	1	.154	.389	.308	.697	.154	.250	28	28	.336	116	+0	-0	—	—	+1	0.0
2025	26	AAA	Syracuse Mets	426	372	101	12	1	9	51	93	2	13	2	.272	.362	.382	.743	.110	.341	22	12	.339	117	+8	+2	—	—	+12	2.3
2025	26	INTL	Toros del Este	209	174	55	10	1	1	32	36	0	22	2	.316	.422	.402	.825	.086	.388	17	15	.372	143	+10	+4	—	—	+6	2.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			409	370	82	15	1	4	35	91	2	4	1	.222	.292	.300	.592	.078	.284	22	9	.272	66	-16	+0	-1	+3	+12	-0.2

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
Gilberto Celestino (OGILVIE)	27	55	40	50	55	.225/.295/.313	.088	.293	5	8	25%	8%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Duarte 2012 · AAA	27	48→56	39→40	49→55	49	.227/.290/.318	.091	.285	6	16	22%	8%	70	-0.3	.225/.293/.317	.092	.280	7	12	21%	9%	72	-0.2	.213/.288/.286	.073	.255	8	8	18%	9%	58	-0.5
✕Hunter Jones 2019 · AAA	27	48→58	41→45	53→55	43	.232/.286/.334	.102	.296	8	15	24%	6%	72	-0.2	.214/.271/.311	.097	.295	9	12	29%	6%	60	-1.0	.135/.195/.196	.062	.202	8	10	36%	5%	-2	-1.5
✕Brett Dowdy 2009 · AAA	27	48→50	42→40	50	45	.232/.284/.333	.102	.281	9	13	21%	6%	72	-0.2	.220/.262/.310	.090	.266	8	11	20%	5%	56	-1.3	.194/.228/.251	.057	.232	4	9	18%	3%	23	-2.1
✕Bryson Brigman 2022 · AAA	27	50→59	40	47→50	48	.240/.298/.335	.095	.295	6	10	20%	7%	78	+0.2	.235/.285/.333	.098	.298	8	11	23%	6%	72	-0.2	.239/.295/.315	.076	.296	6	12	20%	6%	68	-0.2
✕Ed Lucas 2009 · AAA	27	49→56	41→45	49→50	45	.238/.287/.334	.096	.297	8	14	22%	6%	72	-0.2	.238/.300/.358	.120	.301	12	13	24%	8%	85	+0.7	.230/.295/.355	.125	.291	14	10	25%	7%	81	+0.3
✕Danny Worth 2013 · MLB	27	47→53	43→45	52→50	46	.227/.291/.340	.113	.295	10	16	26%	8%	76	+0.1	.205/.267/.296	.091	.304	6	13	32%	7%	54	-1.4	.222/.290/.321	.098	.325	7	9	31%	8%	68	-0.3
✕Tyler Krieger 2021 · AAA	27	48→57	41→40	50	43	.233/.284/.332	.099	.299	8	16	24%	6%	71	-0.3	.190/.241/.278	.088	.286	8	10	34%	6%	39	-2.5	.144/.184/.198	.054	.225	5	3	37%	4%	-9	-1.8
✕Cutter Dykstra 2015 · AA	26	50→57	40	50→55	46	.237/.301/.328	.092	.312	7	14	25%	8%	78	+0.2	.226/.289/.308	.082	.322	7	9	29%	8%	67	-0.5	.209/.276/.272	.063	.300	7	8	30%	8%	50	-1.4
✕Jeff McVaney 2017 · AAA	27	49→52	41→45	50	47	.232/.300/.338	.105	.284	7	14	20%	7%	79	+0.3	.222/.290/.327	.105	.275	8	11	21%	7%	73	-0.1	.186/.254/.271	.085	.239	6	6	23%	5%	40	-0.8
✕Abiatal Avelino 2022 · AAA	27	48→51	42→45	54→55	44	.233/.278/.341	.108	.282	9	17	21%	5%	70	-0.3	.225/.277/.346	.121	.272	13	16	22%	6%	72	-0.2	.201/.247/.325	.124	.233	16	18	22%	4%	52	-0.6
✕Nate Samson 2015 · AAA	27	47→57	43→40	47→45	45	.232/.284/.339	.107	.280	10	11	21%	6%	72	-0.2	.214/.267/.311	.097	.255	8	12	19%	6%	59	-1.1	.186/.230/.232	.047	.216	0	11	13%	5%	17	-1.1
✕Brian Friday 2012 · AAA	26	47→52	41→45	47→50	47	.224/.290/.326	.102	.287	7	11	23%	8%	72	-0.2	.205/.268/.297	.092	.266	6	14	24%	7%	56	-1.3	.178/.244/.249	.071	.229	4	16	23%	7%	31	-1.6
✕Jemel Spearman 2008 · AA	27	49→53	41→45	53→50	46	.237/.287/.341	.105	.287	6	12	20%	6%	74	-0.1	.229/.280/.333	.104	.282	8	16	21%	6%	69	-0.4	.227/.279/.322	.095	.279	8	22	21%	6%	64	-0.3
✕Jack Dunn 2023 · AAA	26	49→48	38→40	46→55	47	.228/.296/.304	.075	.304	5	12	25%	8%	69	-0.4	.220/.310/.305	.085	.284	8	21	23%	10%	76	+0.1	.211/.316/.295	.084	.262	9	26	21%	11%	75	-0.0
✕Christian Herrera 2009 · AAA	27	49	39→40	48→45	44	.234/.286/.319	.085	.298	6	9	23%	6%	68	-0.5	.230/.279/.317	.087	.298	6	8	24%	5%	65	-0.7	.237/.287/.324	.087	.313	6	8	25%	5%	68	-0.2
✕Derrik Gibson 2017 · AAA	27	52→56	37→40	49→55	48	.245/.306/.319	.074	.307	4	11	21%	7%	77	+0.1	.213/.269/.309	.096	.283	6	12	25%	7%	59	-1.1	.188/.242/.295	.107	.255	6	11	27%	6%	42	-1.1
✕Richie Martin Jr. 2022 · MLB	27	44→53	42→45	50→60	42	.218/.277/.323	.105	.285	10	15	26%	6%	66	-0.6	.211/.284/.309	.098	.287	5	30	26%	7%	66	-0.6	.203/.282/.295	.092	.280	4	40	26%	7%	58	-0.7
●Mark Kiger 2007 · AAA	27	50→57	41→45	48→50	48	.238/.303/.336	.098	.312	8	10	25%	8%	80	+0.4	.237/.317/.338	.101	.327	8	10	27%	10%	87	+0.8	.229/.323/.319	.090	.323	7	9	28%	11%	82	+0.3
✕Kelvin Gutiérrez 2022 · MLB	27	48→55	42→45	48→50	42	.231/.283/.337	.105	.305	10	8	27%	6%	72	-0.2	.226/.281/.343	.117	.292	12	9	25%	7%	72	-0.2	.215/.273/.325	.109	.275	12	12	25%	7%	62	-0.4
✕Kramer Robertson 2022 · AAA	27	44→51	45	50→55	51	.216/.300/.340	.124	.266	12	13	23%	9%	82	+0.5	.209/.308/.306	.097	.274	9	22	25%	10%	77	+0.1	.191/.305/.263	.072	.260	7	26	26%	11%	62	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)