Ty Hanchey — OGILVIE

Ty HancheyC Richmond Flying Squirrels

Age 26 L/R 5'9" / 195 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION250 act + 9 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP289

ISO103

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 33 / POW 37

Toolsscout grade

CONTACT33

scouting grade only

POWER37

scouting grade only

EYE49

scouting grade only

SPEED44

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
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
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)
2023	23	ROK	ACL Giants Orange	—	36	26	5	0	0	1	8	4	0	1	0	192	382	308	690	115	174	11	22	313	98	-0	+0	—	—	+1	0.1
2024	24	A	San Jose Giants	—	222	189	48	8	1	3	28	41	3	2	1	254	359	354	714	101	306	18	13	326	107	+2	+0	—	—	+5	0.7
2024	24	ROK	ACL Giants	—	35	26	9	1	0	3	6	7	2	1	0	346	500	731	1.231	385	353	20	17	506	229	+5	+0	—	—	+1	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	23	ROK MLE	ACL Giants Orange	—	36	29	5	0	0	1	5	6	0	1	0	172	294	276	570	103	141	17	14	236	46	-2	+0	—	—	+1	-0.1
2024	24	A MLE	San Jose Giants	—	222	197	42	6	1	3	20	57	3	2	1	213	295	299	595	86	271	26	9	262	63	-10	+0	—	—	+5	-0.5
2024	24	ROK MLE	ACL Giants	—	35	28	7	1	0	2	4	10	2	1	0	250	382	500	882	250	271	29	11	366	134	+1	+0	—	—	+1	0.2
2023	23	ROK MLE	ACL Giants Orange	—	36	29	5	0	0	1	5	6	0	1	0	172	294	276	570	103	167	17	14	236	46	—	—	—	—	—	—
2023	23	ROK RAW	ACL Giants Orange	—	36	26	5	0	0	1	8	4	0	1	0	192	382	308	690	115	174	11	22	313	46	—	—	—	—	—	—
2024	24	A MLE	2 teams	—	257	226	49	7	1	5	23	68	5	3	1	217	303	323	626	106	282	26	9	276	73	—	—	—	—	—	—
2024	24	A RAW	2 teams	—	257	215	57	9	1	6	34	48	5	3	1	265	378	400	778	135	311	19	13	351	73	—	—	—	—	—	—
2023	23	ROK MLE	ACL Giants Orange	—	36	31	5	0	0	1	5	6	0	1	0	161	294	258	552	97	141	17	14	236	46	—	—	—	—	—	—
2024	24	A MLE	2 teams	—	257	227	49	7	1	5	23	68	5	3	1	216	303	322	625	106	271	26	9	276	73	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	23	ROK MLE	ACL Giants Orange	—	36	31	5	0	0	1	5	6	0	1	0	161	294	258	552	97	141	17	14	236	46	—	—	—	—	—	—
2024	24	A MLE	2 teams	—	257	227	49	7	1	5	23	68	5	3	1	216	303	322	625	106	271	26	9	276	73	—	—	—	—	—	—
YTD	26	AA MLE	SF	—	250	225	48	10	1	4	16	93	4	1	1	213	278	320	598	107	338	37	6	264	65	-11	-0	+0	+4	+5	-0.1
▸ 2026 season
YTD	26	A+ RAW	SF	—	41	38	11	3	0	2	2	13	1	0	0	289	341	526	868	237	391	32	5	380	65	—	—	—	—	—	—
YTD	26	AA RAW	SF	—	209	179	44	9	1	4	22	61	3	1	1	246	338	374	713	128	345	29	11	317	65	—	—	—	—	—	—
ROS	26	AA MLE	SF	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		295	33	11	265	66	-0	+0	+0	+0	+0	-0.0
TOT	26	AA MLE	SF	—	259	233	49	10	1	4	17	96	4	1	1	210	276	313	589	103	333	37	7	264	65	-11	-0	+0	+5	+6	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	SF	27%	238	215	45	9	1	4	18	75	3	3	1	209	280	316	596	107	293	32	8	271	69	-9	+0	+0	+4	+5	0.1
2028	28	MLB MLE	SF	40%	295	267	56	11	1	6	23	91	3	3	1	210	280	326	606	116	292	31	8	274	71	-10	+0	-1	+5	+6	0.1
2029	29	MLB MLE	SF	45%	324	291	61	12	1	6	26	99	4	3	1	210	283	320	603	110	291	31	8	274	72	-11	+0	-1	+6	+7	0.1
2030	30	MLB MLE	SF	48%	344	310	64	13	1	6	27	105	4	3	1	206	279	313	591	106	290	31	8	273	71	-12	+0	-2	+6	+7	-0.0
2027	27	MLB CTX	SF	27%	64	58	11	2	0	1	5	20	1	1	0	190	266	276	541	86	287	31	8	256	69	-2	+0	+0	+1	+1	0.0
2028	28	MLB CTX	SF	40%	118	107	21	4	0	2	9	36	1	1	0	196	265	290	555	93	287	31	8	259	71	-4	+0	-0	+2	+3	0.1
2029	29	MLB CTX	SF	45%	145	131	27	5	1	3	11	44	2	1	0	206	278	328	606	122	286	30	8	260	72	-5	+0	-1	+3	+3	0.0
2030	30	MLB CTX	SF	48%	164	148	31	6	1	3	13	50	2	1	1	209	282	324	607	115	285	30	8	258	71	-6	-0	-1	+3	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	491	444	90	17	2	9	38	150	6	4	1	203	275	311	585	108	281	31	8	259	71	-17	+0	-2	+9	+11	0.1
/ 162G	—	A+C		—	650	588	120	23	3	12	50	199	8	5	1	204	276	315	590	111	283	31	8	259	71	-22	+1	-3	+12	+14	0.1
Career	—	MLE		—	1503	1346	281	52	5	28	123	447	19	16	5	209	284	317	602	108	287	30	8	273	71	-42	+1	-4	+22	+26	0.2
/ 162G	—	MLE		—	650	582	121	22	2	12	53	193	8	7	2	208	283	314	597	107	285	30	8	273	71	-23	+0	-2	+12	+14	0.1

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
#2Adam 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
#3Adam 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
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#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 2 projected seasons	0.7	494	9	5	210	279	323	+9	+8	0.5	0.5
/162	664	12	6	+11.9	+10.8	0.7	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
Ty Hanchey (OGILVIE)	26	33	37	44	49	203/273/306	103	295	3	2	32%	7%	66	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Thomas 2023 · A	25	41→39	42→40	47→40	47	199/286/298	99	288	10	4	32%	10%	69	-0.9	201/272/295	94	273	9	5	28%	8%	62	-1.4	193/263/280	87	255	9	5	27%	8%	53	-1.5
✕Will Toffey 2021 · AA	26	43	43→45	46→50	49	208/293/321	114	297	9	7	31%	10%	76	-0.4	202/285/325	123	338	12	12	40%	9%	75	-0.5	185/273/308	123	318	12	13	42%	8%	63	-0.7
✕JJ Schwarz 2022 · AA	26	40	43→45	47→30	45	202/266/307	106	274	11	4	30%	8%	63	-1.4	220/287/341	121	307	13	4	31%	8%	78	-0.3	213/285/332	119	296	14	1	31%	9%	73	-0.4
✕Chadd Krist 2015 · A	25	40	41→40	44→45	42	196/258/292	96	269	8	6	29%	7%	56	-1.9	194/248/291	97	281	9	6	32%	6%	52	-2.2	151/202/238	87	213	10	0	34%	5%	19	-1.4
✕Max Wright 2023 · A	25	39	42→40	44→40	43	186/278/290	105	293	9	4	37%	9%	65	-1.2	194/270/295	101	296	9	6	35%	7%	62	-1.4	140/216/216	76	209	10	0	36%	6%	23	-0.9
✕Micah Furtado 2007 · A	25	43→41	42→45	43→50	45	211/272/315	104	269	10	10	25%	7%	67	-1.1	222/274/318	96	265	8	10	19%	6%	68	-1.0	229/274/316	86	259	7	9	14%	5%	65	-0.8
✕César Salazar 2021 · A	25	44→41	41→45	46→45	42	214/267/309	95	266	8	8	23%	5%	63	-1.3	209/278/339	130	256	15	8	24%	6%	75	-0.5	203/308/311	108	241	12	6	20%	9%	79	-0.1
✕Mike Gilmartin 2013 · A	26	45→47	42→45	43→45	42	219/278/324	104	299	9	5	29%	7%	70	-0.8	210/280/312	102	287	10	7	29%	8%	70	-0.9	179/261/273	94	242	11	6	29%	8%	53	-1.2
✕Joel Weeks 2011 · A	26	45	40→45	47→45	44	219/267/309	90	270	8	8	22%	6%	63	-1.4	219/271/294	75	289	5	4	24%	7%	60	-1.6	215/268/269	54	286	4	0	25%	7%	53	-0.7
✕Mitchell Tolman 2019 · A	25	45→47	40→45	46→50	47	213/291/303	89	294	7	10	28%	9%	71	-0.8	214/282/312	98	298	8	9	29%	7%	70	-0.9	217/287/331	114	285	10	8	26%	7%	73	-0.4
✕Colby Fitch 2021 · A	26	44	39→40	50	44	204/287/295	91	312	6	7	34%	9%	68	-1.0	195/294/302	107	337	8	11	40%	9%	74	-0.6	132/268/235	102	234	5	17	39%	14%	48	-0.5
✕Morgan McCullough 2023 · AA	25	44	43→45	46→50	45	213/295/327	115	301	10	10	31%	8%	78	-0.3	205/286/325	120	295	11	14	32%	9%	75	-0.5	189/275/311	122	271	11	17	32%	9%	67	-0.5
✕Chris Kroski 2008 · A	26	45	43→45	45→40	41	219/275/337	118	292	10	4	28%	6%	73	-0.6	210/273/319	109	278	9	5	26%	7%	68	-1.0	172/247/279	107	233	8	0	28%	9%	47	-0.5
✕Chase Pinder 2022 · AA	26	40	43→45	44→45	46	198/281/301	102	271	11	5	30%	8%	68	-1.0	227/321/361	134	295	13	10	25%	11%	96	+1.0	222/324/360	138	289	14	11	26%	12%	95	+0.5
✕Shayne Fontana 2022 · AA	25	41	42→45	48→55	46	196/275/302	106	285	8	8	32%	9%	65	-1.2	214/296/317	103	297	10	14	29%	8%	76	-0.4	217/300/310	94	291	10	19	27%	8%	75	-0.3
✕Jake Lowery 2016 · AA	26	36	43→45	47→30	44	183/249/294	111	257	10	4	32%	8%	53	-2.1	187/258/290	103	288	9	5	35%	8%	56	-1.9	127/205/187	61	257	4	0	48%	9%	12	-1.1
✕Andres Sosa 2023 · A	25	39	42→40	52→45	47	188/290/298	110	270	9	9	31%	9%	72	-0.7	197/285/289	92	286	7	7	31%	8%	67	-1.1	185/274/262	78	273	5	4	31%	7%	54	-0.8
✕Aaron Antonini 2023 · AA	25	37	43→40	46→45	45	187/273/288	101	243	12	5	27%	8%	62	-1.4	210/288/330	120	290	13	9	31%	7%	77	-0.3	183/273/312	129	276	14	8	36%	7%	66	-0.3
✕Bryce Windham 2023 · AA	26	44	40	46→50	54	210/288/299	89	251	7	6	19%	10%	69	-0.9	227/290/315	88	296	5	12	23%	8%	72	-0.7	238/297/322	83	318	3	15	24%	8%	74	-0.2
✕Logan Driscoll 2023 · A	25	42→47	44→45	48→40	42	209/277/328	119	296	12	6	32%	7%	72	-0.7	228/284/344	116	308	11	5	28%	6%	78	-0.3	232/290/345	114	313	10	3	28%	6%	77	-0.2

Career Stats + Projections

Career Comps

Career Path Comps