Cristian Pache — OGILVIE

Cristian PacheOF Syracuse Mets

Age 27 R/R 6'2" / 215 lbs AAA H +5%HR +3% Svc 5.000 · Ctrl thru 2026 peak 0.4 · 2027

wRC+†vL 7968vR 9

AVG/OBP/SLG.192 / .273 / .301

PA270

HR5

SB11

K%33

BB%9

xwOBA.255

Barrel%4.9%

MLB%10%

Scouting · now → future

HIT

35→35

PWR

40→40

SPD

60→60

EYE

50↗60

trajectory · 10 yrs

-0.3peak

2027

Barrel%

244.9

xwOBA

100.255

Avg EV

6189.9

Whiff%

160.148

Chase%

730.272

Speed

7628.5

Bat Spd

5471.7

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	$0.6M	+0.2	$0.8M	+$0.2M
Totals		$0.6M		$0.8M	+$0.2M

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	Danville Braves	236	225	57	3	5	0	8	34	1	11	5	.253	.282	.311	.593	.058	.297	14	3	.264	60	-11	+0	+0	+1	+7	-0.3
2017	18	A	Rome Braves	514	487	105	9	6	0	21	148	0	32	14	.216	.248	.259	.507	.043	.308	29	4	.225	30	-40	+1	+0	+2	+15	-2.4
2018	19	A+	3 teams	590	571	136	23	5	9	15	166	0	10	8	.238	.258	.343	.601	.105	.318	28	3	.261	58	-28	-1	+0	+2	+17	-1.1
2019	20	AA	2 teams	538	501	112	32	8	12	29	163	4	8	11	.224	.272	.391	.663	.168	.305	30	5	.284	75	-15	-3	+0	+2	+15	-0.1
2020	21	INTL	Estrellas Orientales	30	25	3	1	0	0	4	6	0	0	1	.120	.241	.160	.401	.040	.158	20	13	—	—	—	—	-0	-0	—	—
2021	22	AAA	2 teams	421	394	78	14	0	10	22	144	2	9	7	.198	.244	.310	.554	.112	.283	34	5	.243	44	-27	-1	+1	+2	+12	-1.3
2022	23	MLB	3 teams	497	460	84	12	3	7	26	138	3	4	4	.183	.231	.267	.498	.085	.241	28	5	.222	28	-41	-1	+3	+2	+14	-2.3
2023	24	MLB	3 teams	170	149	34	9	1	3	19	48	1	5	4	.228	.320	.362	.682	.134	.316	28	11	.295	84	-3	-1	+2	+1	+5	0.4
2024	25	MLB	2 teams	199	179	37	9	1	1	18	70	0	1	0	.207	.279	.285	.564	.078	.327	35	9	.256	54	-10	+0	+3	+1	+6	-0.1
2025	26	AAA	Reno Aces	288	256	51	11	2	4	25	98	4	8	2	.199	.281	.305	.585	.105	.305	34	9	.259	56	-14	+1	+0	+1	+8	-0.4
▸ 2026 Season (actual · ROS · total)
2026	27	AAA	Syracuse Mets	77	74	19	3	2	1	3	25	0	5	1	.257	.286	.392	.678	.135	.375	32	4	.289	79	-2	+1	+0	+0	+2	0.1
ROS	27	MLB	NYM	193	174	36	7	2	3	16	63	1	6	1	.207	.277	.322	.599	.115	.296	33	8	.269	64	-8	+1	+2	+1	+5	0.1
TOT	27	MLB	NYM	270	248	55	10	4	4	19	88	1	11	2	.222	.280	.343	.623	.121	.325	33	7	.275	68	-10	+1	+2	+1	+8	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 20%	NYM	330	296	63	13	3	5	29	91	2	9	2	.213	.287	.328	.615	.115	.282	28	9	.277	70	-11	+1	+2	+1	+9	0.3
2028	29	MLB 33%	NYM	346	311	65	13	3	5	30	96	2	9	2	.209	.283	.318	.601	.109	.281	28	9	.275	68	-12	+1	+2	+1	+10	0.2
2029	30	MLB 43%	NYM	356	319	65	13	3	5	31	100	3	8	1	.204	.280	.310	.591	.107	.280	28	9	.272	66	-14	+1	+1	+1	+10	0.0
2030	31	MLB 52%	NYM	341	306	63	13	3	5	30	97	2	6	1	.206	.281	.317	.598	.111	.278	28	9	.268	63	-14	+1	+0	+1	+10	-0.2
2031	32	MLB 64%	NYM	322	289	58	12	2	4	28	94	2	5	0	.201	.276	.298	.573	.097	.277	29	9	.263	60	-15	+1	-0	+1	+9	-0.4
2032	33	MLB 81%	NYM	292	263	51	10	2	4	25	87	2	3	0	.194	.269	.293	.562	.099	.275	30	9	.258	56	-15	+1	-1	+1	+8	-0.6
2033	34	MLB	NYM	249	223	43	8	2	3	22	76	2	2	0	.193	.271	.287	.558	.094	.273	31	9	.252	51	-14	+0	-2	+1	+7	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			5912	5428	1141	212	51	80	398	1719	31	136	63	.210	.268	.312	.580	.102	.290	29	7	.257	55	-299	+2	+13	+21	+168	-9.8
/ 162G	—			650	597	126	23	6	9	44	189	3	15	7	.211	.269	.315	.584	.104	.291	29	7	.257	55	-33	+0	+1	+2	+18	-1.1

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	Danville Braves	236	220	68	4	7	0	13	24	1	11	5	.309	.350	.391	.741	.082	.345	10	6	.330	111	+3	+0	—	—	+7	1.0
2017	18	A	Rome Braves	514	469	132	13	8	0	39	104	0	32	14	.281	.337	.343	.680	.062	.360	20	8	.306	92	-4	+1	—	—	+15	1.1
2018	19	AA	Mississippi Braves	109	104	27	3	1	1	5	28	0	0	2	.260	.294	.337	.630	.077	.347	26	5	.284	75	-3	-1	—	—	+3	-0.1
2018	19	A+	Florida Fire Frogs	387	369	105	20	5	8	15	69	0	7	6	.285	.312	.431	.743	.146	.330	18	4	.326	107	+3	-1	—	—	+11	1.3
2018	19	INTL	Peoria Javelinas	94	86	24	3	2	0	6	18	0	3	0	.279	.326	.360	.687	.081	.348	19	6	.303	90	-1	+1	—	—	+3	0.2
2019	20	AAA	Gwinnett Stripers	105	95	26	8	1	1	9	18	0	0	0	.274	.337	.411	.747	.137	.329	17	9	.331	111	+1	+0	—	—	+3	0.4
2019	20	AA	Mississippi Braves	433	392	109	28	8	11	34	104	4	8	11	.278	.342	.474	.816	.196	.351	24	8	.357	131	+15	-3	—	—	+12	2.5
2020	21	INTL	Estrellas Orientales	30	25	3	1	0	0	4	6	0	0	1	.120	.241	.160	.401	.040	.158	20	13	.196	8	-3	-0	—	—	+1	-0.3
2021	22	MLB	Atlanta Braves	68	63	7	3	0	1	2	25	1	0	0	.111	.152	.206	.358	.095	.162	37	3	.159	-20	-9	+0	+1	+2	+2	-0.5
2021	22	AAA	Gwinnett Stripers	353	321	85	15	0	11	30	97	1	9	7	.265	.330	.414	.744	.150	.347	27	8	.332	112	+5	-1	—	—	+10	1.4
2022	23	MLB	Oakland Athletics	260	241	40	5	2	3	15	70	1	2	2	.166	.218	.241	.459	.075	.220	27	6	.209	18	-24	-0	+3	+2	+7	-1.2
2022	23	AAA	Las Vegas Aviators	171	157	39	8	1	4	11	39	1	1	1	.248	.302	.389	.690	.140	.302	23	6	.305	92	-2	-0	—	—	+5	0.3
2022	23	INTL	Estrellas Orientales	66	55	12	4	0	0	7	10	1	1	1	.218	.317	.291	.608	.073	.255	15	11	.273	67	-2	-0	—	—	+2	-0.1
2023	24	MLB	Philadelphia Phillies	95	84	20	7	1	2	10	27	0	2	3	.238	.319	.417	.736	.179	.327	28	11	.324	106	+1	-1	+2	+1	+3	0.5
2023	24	AAA	Lehigh Valley IronPigs	60	51	12	2	0	1	8	13	1	3	1	.235	.350	.333	.683	.098	.297	22	13	.319	102	+0	+0	—	—	+2	0.2
2023	24	A	Clearwater Threshers	15	11	3	0	0	0	4	4	0	0	0	.273	.467	.273	.739	.000	.429	27	27	.367	139	+1	+0	—	—	+0	0.1
2024	25	MLB	Miami Marlins	183	165	33	8	1	1	17	64	0	1	0	.200	.275	.279	.554	.079	.317	35	9	.255	53	-10	+0	+3	+1	+5	-0.0
2024	25	INTL	Tigres del Licey	16	13	2	0	1	0	2	7	0	0	0	.154	.267	.308	.574	.154	.286	44	12	.245	45	-1	+0	—	—	+0	-0.1
2025	26	AAA	Reno Aces	288	247	62	15	2	5	34	77	4	8	2	.251	.351	.389	.740	.138	.345	27	12	.332	113	+4	+1	—	—	+8	1.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			606	553	100	23	4	7	44	186	2	5	5	.181	.244	.275	.519	.094	.258	31	7	.235	38	-42	-1	+10	+5	+17	-1.2

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
Cristian Pache (OGILVIE)	27	35	40	60	60	.192/.273/.301	.109	.280	5	6	33%	9%	60	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cory Vaughn 2015 · AAA	26	38→40	45	54→50	42	.196/.270/.318	.122	.273	13	15	32%	7%	63	-0.8	.193/.258/.302	.109	.284	11	12	34%	7%	53	-1.5	.153/.220/.254	.100	.233	9	9	36%	7%	22	-1.3
✕Willie Argo 2017 · AA	27	42→36	39→40	52→55	47	.200/.282/.280	.080	.283	7	19	30%	9%	58	-1.2	.197/.253/.328	.131	.305	14	15	38%	6%	58	-1.2	.160/.218/.290	.130	.244	15	17	40%	6%	33	-1.5
✕Adam Engel 2019 · MLB	27	42→48	43→50	54→60	39	.208/.265/.327	.119	.287	10	21	30%	6%	62	-0.9	.230/.286/.372	.142	.305	14	17	28%	5%	83	+0.6	.227/.287/.366	.138	.305	13	23	28%	5%	79	+0.1
✕JaCoby Jones 2019 · MLB	27	42→47	45→50	52→50	38	.210/.265/.341	.131	.299	12	16	33%	6%	66	-0.6	.220/.285/.376	.156	.307	16	12	32%	7%	84	+0.6	.213/.280/.361	.148	.311	16	7	35%	7%	74	-0.0
✕David Thompson 2021 · AAA	27	40→46	43→45	50	41	.201/.260/.314	.113	.263	11	13	27%	6%	57	-1.2	.209/.280/.368	.159	.282	19	16	32%	6%	80	+0.4	.176/.260/.359	.182	.229	23	20	34%	6%	66	-0.3
✕Michael O'Neill 2019 · AAA	27	42→40	43→45	55	36	.208/.259/.319	.112	.303	11	21	34%	5%	58	-1.2	.217/.265/.310	.093	.325	9	19	34%	5%	58	-1.2	.221/.265/.284	.063	.337	7	18	35%	5%	45	-1.3
✕Alex De Goti 2022 · AAA	27	42→46	43→45	49→50	43	.206/.269/.317	.110	.278	10	8	28%	7%	61	-1.0	.201/.276/.293	.092	.275	7	9	27%	9%	59	-1.1	.191/.273/.268	.077	.259	6	10	26%	9%	48	-1.1
✕Logan Warmoth 2023 · AAA	27	42→39	43→45	51→55	41	.202/.279/.316	.113	.314	11	19	37%	8%	66	-0.6	.197/.275/.297	.100	.290	10	22	33%	8%	59	-1.1	.177/.264/.256	.079	.258	8	25	32%	9%	44	-1.3
✕Ray-Patrick Didder 2022 · AA	27	41→46	40→45	52→60	42	.197/.273/.296	.099	.291	7	21	32%	7%	59	-1.1	.197/.280/.311	.114	.282	12	26	33%	7%	66	-0.6	.170/.270/.280	.110	.246	14	31	34%	8%	52	-1.1
✕Jason Romano 2005 · MLB	26	43	43→45	54→50	45	.214/.270/.321	.107	.271	11	17	25%	7%	63	-0.9	.232/.281/.350	.118	.283	11	10	21%	6%	75	-0.0	.255/.296/.373	.118	.310	9	9	20%	5%	84	+0.3
✕Taylor Featherston 2018 · MLB	28	39→45	45→50	51→50	39	.201/.254/.323	.122	.272	13	12	31%	5%	57	-1.2	.183/.239/.304	.121	.303	14	10	42%	5%	46	-2.0	.154/.212/.270	.115	.278	14	8	48%	4%	24	-2.4
✕Jason Martinson 2016 · AAA	27	39→41	45→50	53→50	38	.194/.254/.310	.115	.295	13	13	37%	7%	53	-1.5	.183/.238/.299	.116	.306	12	10	42%	5%	44	-2.1	.161/.214/.274	.113	.283	11	8	45%	5%	24	-2.1
✕Ryan Cordell 2019 · MLB	27	39→41	47→55	51→50	38	.205/.249/.340	.135	.267	15	14	29%	5%	59	-1.1	.206/.261/.337	.131	.289	15	12	33%	6%	63	-0.8	.187/.253/.332	.146	.269	20	12	37%	7%	57	-0.5
✕Angelo Castellano 2022 · AAA	27	38→42	43→45	49→50	40	.196/.249/.299	.103	.256	12	13	28%	6%	49	-1.8	.207/.271/.322	.115	.258	13	13	24%	7%	64	-0.8	.204/.274/.324	.120	.246	14	14	23%	8%	62	-0.4
✕Kevin Smith 2023 · MLB	27	40→45	49→55	54→50	39	.206/.260/.354	.148	.283	17	14	33%	6%	68	-0.5	.211/.255/.351	.140	.304	18	16	35%	5%	65	-0.7	.205/.244/.339	.134	.297	19	19	37%	4%	55	-0.7
✕Tony Thomas 2013 · AAA	27	40→46	47→50	57→55	38	.206/.252/.343	.138	.276	14	19	30%	5%	61	-1.0	.203/.248/.337	.134	.292	12	15	33%	5%	57	-1.2	.198/.241/.334	.136	.291	11	12	35%	4%	51	-1.3
✕Troy Stokes Jr. 2021 · AAA	25	39→38	46→50	54→55	43	.195/.275/.328	.133	.280	14	16	34%	8%	68	-0.5	.196/.270/.305	.109	.263	10	17	28%	8%	59	-1.1	.156/.241/.247	.091	.208	8	20	27%	8%	30	-1.4
✕Matt Lipka 2019 · AAA	27	42→52	41→45	55→60	42	.205/.259/.304	.099	.267	8	20	26%	6%	53	-1.5	.223/.272/.330	.107	.302	9	25	28%	6%	66	-0.6	.227/.278/.333	.106	.323	9	40	31%	5%	64	-0.4
✕Erick Monzon 2009 · AA	27	38→42	41→45	52→50	43	.193/.246/.292	.100	.253	9	12	27%	7%	45	-2.1	.198/.248/.305	.107	.279	12	12	32%	6%	50	-1.8	.178/.219/.275	.097	.243	15	13	33%	5%	27	-1.0
✕Orlando Calixte 2019 · MLB	27	44→48	45	54→55	40	.221/.258/.338	.117	.281	13	18	26%	5%	61	-1.0	.222/.264/.325	.103	.295	11	18	27%	5%	60	-1.0	.211/.256/.276	.065	.286	6	25	27%	6%	41	-0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)