John Cristino — OGILVIE

John CristinoC Tampa Tarpons

Age 26 R/R 6'1" / 225 lbs A HR +14% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION60 act + 8 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%38

BB%12

BABIP287

ISO100

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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	25	A+	Hudson Valley Renegades	—	74	66	11	3	0	1	3	37	3	1	0	167	233	258	490	91	345	50	4	224	38	-5	+0	—	—	+2	-0.4
2025	25	ROK	FCL Yankees	—	105	93	31	5	1	4	7	25	4	6	0	333	404	538	941	204	415	24	7	411	164	+8	+1	—	—	+2	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	25	A+ MLE	Hudson Valley Renegades	—	74	68	7	2	0	1	2	50	3	1	0	103	164	176	341	74	301	68	3	137	-21	-11	+0	—	—	+2	-0.9
2025	25	ROK MLE	FCL Yankees	—	105	96	19	3	1	1	4	36	4	6	0	198	260	281	541	83	288	34	4	240	49	-6	+1	—	—	+2	-0.3
2025	25	ROK MLE	2 teams	—	179	164	27	5	1	2	6	86	7	7	0	165	226	244	470	79	321	48	3	197	20	—	—	—	—	—	—
2025	25	ROK RAW	2 teams	—	179	159	42	8	1	5	10	62	7	7	0	264	333	421	755	157	394	35	6	334	20	—	—	—	—	—	—
2025	25	ROK MLE	2 teams	—	179	164	27	5	1	2	6	86	7	7	0	165	226	244	470	79	293	48	3	197	20	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	25	ROK MLE	2 teams	—	179	164	27	5	1	2	6	86	7	7	0	165	226	244	470	79	293	48	3	197	20	—	—	—	—	—	—
YTD	26	A MLE	NYY	—	60	50	8	2	0	3	7	26	3	0	1	160	300	380	680	220	238	43	12	292	84	-1	-0	+0	+1	+1	0.1
▸ 2026 season
YTD	26	ROK RAW	NYY	—	23	16	5	1	0	3	5	6	1	0	1	312	478	938	1.416	625	286	26	22	550	84	—	—	—	—	—	—
YTD	26	A RAW	NYY	—	37	30	5	1	0	1	5	12	2	0	0	167	324	300	624	133	235	32	14	298	84	—	—	—	—	—	—
ROS	26	A MLE	NYY	0%	8	7	1	0	0	0	1	3	0	0	0	143	250	143	393		285	38	12	259	61	-0	+0	+0	+0	+0	-0.0
TOT	26	A MLE	NYY	—	68	57	9	2	0	3	8	29	3	0	1	158	294	351	645	193	240	43	12	288	81	-2	-0	+0	+1	+1	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	NYY	26%	120	108	22	4	1	3	9	41	2	2	1	204	277	343	620	139	284	34	8	264	65	-5	+0	+0	+2	+3	-0.0
2028	28	MLB MLE	NYY	39%	211	189	38	7	1	5	16	71	4	3	1	201	278	328	606	127	284	34	8	268	67	-8	+0	-1	+4	+5	-0.0
2029	29	MLB MLE	NYY	47%	266	239	48	9	1	6	20	88	5	3	1	201	277	322	599	121	283	33	8	269	68	-10	+0	-1	+5	+6	-0.1
2030	30	MLB MLE	NYY	53%	305	273	53	10	1	6	24	101	5	3	1	194	272	304	576	110	282	33	8	267	67	-12	+0	-2	+5	+7	-0.2
2027	27	MLB CTX	NYY	26%	31	28	6	1	0	1	2	11	1	0	0	214	290	357	647	143	286	35	6	254	65	-1	+0	+0	+1	+1	-0.0
2028	28	MLB CTX	NYY	39%	83	75	15	3	0	2	6	28	2	1	0	200	277	320	597	120	286	34	7	258	67	-3	+0	-0	+1	+2	-0.0
2029	29	MLB CTX	NYY	47%	126	113	23	4	1	3	10	42	2	1	0	204	280	336	616	133	285	33	8	260	68	-5	+0	-1	+2	+3	-0.0
2030	30	MLB CTX	NYY	53%	162	145	29	5	1	4	13	54	3	2	1	200	280	331	611	131	284	33	8	258	67	-6	+0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	402	361	73	13	2	10	31	135	8	4	1	202	280	332	612	130	289	34	8	258	59	-16	+0	-2	+7	+9	-0.1
/ 162G	—	A+C		—	650	584	118	21	3	16	50	218	13	6	2	202	280	330	610	128	289	34	8	258	59	-25	+1	-3	+12	+14	-0.2
Career	—	MLE		—	1089	980	189	35	5	22	76	390	23	18	4	193	267	306	573	113	290	36	7	256	59	-36	+1	-4	+16	+20	-0.3
/ 162G	—	MLE		—	650	585	113	21	3	13	45	233	14	11	2	193	267	306	573	113	292	36	7	256	59	-25	+0	-3	+12	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Adam 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
#5Ryan 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
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	0.7	489	10	6	198	269	313	+9	+12	0.3	0.3
/162	664	13	8	+11.9	+16.3	0.3	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
John Cristino (OGILVIE)	26	—	—	—	—	188/263/300	111	285	2	1	36%	7%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕McCarthy Tatum 2022 · AA	26	34→25	41→50	45→50	35	172/236/266	94	276	10	6	40%	6%	42	-2.9	201/258/317	116	289	11	10	33%	5%	62	-1.4	201/254/329	128	278	11	11	31%	4%	60	-0.5
✕Jordan Betts 2017 · AA	25	35→28	40→45	46→40	35	176/222/267	91	273	7	4	37%	5%	36	-3.3	194/242/306	112	292	12	4	36%	6%	53	-2.1	187/235/301	114	276	14	3	37%	5%	48	-1.6
✕Zach Cone 2015 · A	25	36→39	40→45	46→45	35	178/236/268	90	286	8	7	39%	6%	42	-2.9	200/245/330	130	297	15	7	37%	5%	60	-1.6	195/234/340	145	276	18	5	36%	4%	55	-1.0
✕Jon Mark Owings 2011 · A	26	40→43	43→50	45	36	199/244/314	115	290	10	8	34%	5%	55	-1.9	223/277/360	137	297	14	7	29%	6%	79	-0.2	221/275/373	152	283	17	4	28%	6%	78	-0.2
✕Dylan Rosa 2021 · AA	25	38→30	44→45	50→45	36	193/247/304	111	290	12	9	36%	6%	55	-2.0	192/247/322	130	336	15	8	45%	6%	59	-1.6	160/217/294	135	287	17	6	48%	5%	39	-1.1
✕Scott Schreiber 2021 · A	25	39	43→45	47→45	34	188/238/298	109	311	11	9	42%	6%	50	-2.3	225/278/364	139	307	16	10	31%	5%	80	-0.1	232/281/376	144	309	18	10	30%	5%	82	-0.0
✕Victor Roache 2018 · AA	26	38→39	44→50	47→45	33	186/239/305	119	314	12	6	43%	6%	52	-2.2	192/244/304	112	295	13	6	37%	6%	53	-2.1	175/227/280	105	257	14	4	36%	6%	40	-2.4
✕Matt Hagen 2006 · A	26	38	39→45	48→45	35	188/230/275	87	278	6	9	34%	4%	40	-3.0	184/248/289	105	267	10	8	33%	7%	52	-2.2	137/213/241	104	188	12	5	34%	8%	28	-1.7
✕George Soto 2011 · A	25	34	36→40	44→45	40	169/238/230	61	247	5	8	32%	6%	35	-3.4	190/261/281	91	262	7	8	28%	8%	55	-2.0	163/239/259	97	213	9	7	27%	8%	44	-1.0
✕Ryan Metzler 2018 · AA	25	38	36→40	50	34	176/233/243	67	308	4	12	42%	6%	35	-3.4	198/251/284	86	294	8	13	33%	6%	51	-2.2	186/240/263	77	270	8	15	33%	6%	40	-1.2
✕Connor Lien 2019 · AA	25	35→45	43→45	49→55	31	170/229/281	111	303	11	15	45%	5%	43	-2.8	175/247/305	130	363	14	11	52%	7%	56	-1.9	129/217/262	133	298	16	9	57%	8%	33	-1.3
✕Taylor Sparks 2018 · AA	25	32→39	44→45	46→50	33	172/227/283	111	266	13	6	39%	5%	43	-2.8	182/239/305	123	321	13	7	45%	6%	53	-2.1	157/213/284	127	290	14	5	49%	5%	36	-2.5
✕Josh Richmond 2014 · A	25	37→40	44→45	47→45	35	190/238/308	118	275	11	7	34%	5%	52	-2.2	210/266/332	122	287	11	8	30%	5%	68	-1.0	200/262/326	126	263	11	9	27%	5%	63	-1.0
✕Rogelio Noris 2017 · AAA	27	39→31	43→45	47→45	34	198/237/298	100	267	12	7	31%	3%	49	-2.4	219/259/338	119	278	14	8	26%	4%	67	-1.1	222/252/336	114	267	15	4	23%	3%	61	-0.6
✕Héctor Gómez 2014 · AA	26	37→44	39→55	44→50	37	185/220/268	83	239	6	9	25%	4%	35	-3.4	216/252/347	131	274	12	7	25%	4%	66	-1.1	215/246/366	151	267	13	4	25%	3%	66	-0.6
✕Cale Iorg 2012 · AAA	26	35→41	41→45	46→50	33	179/213/270	91	256	9	13	34%	3%	33	-3.6	178/218/268	90	270	8	13	36%	4%	35	-3.4	122/158/182	60	198	2	8	38%	3%	-11	-1.9
✕Devin Harris 2013 · A	25	35→40	46→55	44→40	38	184/242/315	131	276	14	4	38%	7%	56	-1.9	204/250/364	160	275	18	3	32%	5%	70	-0.8	201/246/368	167	262	19	3	31%	5%	67	-0.9
✕Kody Hoese 2023 · AA	26	40→47	38→45	43→40	38	197/236/272	75	268	7	5	29%	5%	42	-2.9	220/271/338	118	281	12	3	25%	6%	72	-0.7	224/281/350	127	280	13	1	24%	7%	76	-0.3
✕Brenden Webb 2015 · A	25	36→39	44→45	47→50	38	179/245/292	114	297	11	9	41%	7%	51	-2.2	193/248/296	103	300	10	12	37%	6%	53	-2.1	183/231/282	99	276	12	16	37%	5%	41	-1.8
✕Conor Bierfeldt 2016 · A	25	33→31	45→50	46→30	40	176/236/303	127	243	12	3	32%	6%	51	-2.3	203/258/357	154	270	18	4	31%	6%	72	-0.7	192/244/376	184	234	25	1	30%	5%	68	-0.6

Career Stats + Projections

Career Comps

Career Path Comps