Ty Southisene

SS Vancouver Canadians

Age 22 R/R 5'7" / 170 lbs A+ Svc 0.0 · Ctrl thru 2035

Overview

A+PROSPECTMiLBFA 2036

OGV OFP40OGV rank#196ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ACHC	389	.244/.386/.276	0	41	68	—	.231/.332/.260
2026	21	A+/A2 orgs	368	.300/.418/.380	1	34	104	—	.279/.377/.351
2027PROJMLE	22	MLBTOR	1	.236/.331/.290	0	0	82	0.0
2028PROJ43% MLB	23	MLBTOR	131	.242/.336/.316	1	5	89	0.3
2029PROJ58% MLB	24	MLBTOR	217	.246/.339/.334	2	7	95	0.7

Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$3M2034Arb-2$5M+1

Skills · percentileMiLB Statcast 2026 A+

Z-Con%98

K%96

Speed91

Whiff%87

wOBA85

wRC+83

Career WAR0.0 WAR median (P10 -0.3 / P90 13, comp-based) · star 2% · didn't stick 79%

CompsRicardo Ferreira (age 21) · Kyle Mottice (age 23) · Maikel Garcia (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†82

AVG/OBP/SLG.236 / .331 / .290

PA1

HR0

K%18

BB%10

BABIP291

ISO49

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$33M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2032	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2033	Arb-1	$3M	+0.9	$2M	+$0.5M
2034	Arb-2	$5M	+0.8	$2M	+$0.0M (cut)
2035	Arb-3	$6M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$20M	+$13M

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)
2025	20	A	Myrtle Beach Pelicans	—	389	315	77	6	2	0	62	58	11	41	7	244	386	276	662	32	300	15	16	321	68	—	—	—	—	—	—
2026	21	A+	Vancouver Canadians	—	263	214	67	6	3	1	36	35	12	23	5	313	439	383	822	70	369	13	14	381	112	—	—	—	—	—	—
2026	21	A	Myrtle Beach Pelicans	—	105	86	23	3	3	0	11	10	4	11	2	267	365	372	737	105	299	10	10	330	85	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	20	A MLE	Myrtle Beach Pelicans	—	389	338	78	6	2	0	40	82	11	41	7	231	332	260	592	30	298	21	10	269	68	—	—	—	—	—	—
2026	21	A+ MLE	Vancouver Canadians	—	263	224	65	5	3	1	26	47	12	23	5	290	393	353	746	62	357	18	10	333	112	—	—	—	—	—	—
2026	21	A MLE	Myrtle Beach Pelicans	—	105	92	23	3	3	0	8	14	4	11	2	250	337	348	684	98	278	13	8	294	85	—	—	—	—	—	—
2025	20	A MLE	Myrtle Beach Pelicans	—	389	338	78	6	2	0	40	82	11	41	7	231	332	260	592	30	305	21	10	269	68	—	—	—	—	—	—
2025	20	A RAW	Myrtle Beach Pelicans	—	389	315	77	6	2	0	62	58	11	41	7	244	386	276	662	32	300	15	16	321	68	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	368	316	88	8	6	1	34	61	16	34	7	278	377	351	728	73	340	17	9	322	104	—	—	—	—	—	—
2026	21	A+ RAW	2 teams	—	368	300	90	9	6	1	47	45	16	34	7	300	418	380	798	80	348	12	13	366	104	—	—	—	—	—	—
2025	20	A MLE	Myrtle Beach Pelicans	—	389	335	78	6	2	0	40	82	11	41	7	233	332	263	594	30	298	21	10	269	68	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	368	315	88	8	6	1	34	61	16	34	7	279	377	352	729	73	334	17	9	322	104	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	20	A MLE	Myrtle Beach Pelicans	—	389	335	78	6	2	0	40	82	11	41	7	233	332	263	594	30	298	21	10	269	68	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	368	315	88	8	6	1	34	61	16	34	7	279	377	352	729	73	334	17	9	322	104	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TOR	0%	478	415	97	11	4	1	46	84	14	20	4	235	330	288	618	53	289	18	10	289	82	-10	+2	-2	+5	+10	0.4
▸ 2027 — real world (MLB)
2027	22	MLB CTX	TOR	0%	1	1	0	0	0	0	0	0	0	0	0	236	331	290	621	54	291	0	0	290	82	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TOR	43%	303	263	63	7	3	2	29	53	8	11	2	241	335	314	649	73	290	17	10	300	89	-4	+1	-1	+3	+7	0.7
2029	24	MLB MLE	TOR	58%	374	325	79	9	3	4	36	66	10	12	2	245	338	332	671	88	292	18	10	308	95	-2	+2	-0	+4	+8	1.1
2030	25	MLB MLE	TOR	65%	413	359	89	11	3	6	40	73	11	12	2	247	339	344	683	98	292	18	10	313	98	-1	+2	+0	+4	+9	1.4
2031	26	MLB MLE	TOR	68%	435	379	94	12	3	7	42	78	11	12	2	247	339	351	690	104	292	18	10	315	99	-0	+2	+0	+5	+9	1.6
2032	27	MLB MLE	TOR	68%	441	385	94	12	3	7	42	81	11	11	2	246	337	352	689	105	292	18	10	314	99	-1	+1	+0	+5	+10	1.5
2033	28	MLB MLE	TOR	68%	440	384	94	12	3	7	42	82	11	10	2	244	335	347	682	103	291	19	10	311	97	-2	+1	-0	+5	+10	1.4
2034	29	MLB MLE	TOR	66%	432	378	91	12	3	6	41	81	10	9	2	242	333	341	674	99	290	19	9	308	95	-3	+1	-1	+5	+9	1.1
2035	30	MLB MLE	TOR	71%	421	368	88	11	3	6	40	81	10	8	2	239	329	333	663	94	288	19	10	304	92	-4	+1	-2	+5	+9	0.8
2036	31	MLB MLE	TOR	75%	404	354	83	10	3	5	38	79	9	6	2	235	325	324	648	88	286	20	9	298	88	-6	+0	-3	+4	+9	0.5
2037	32	MLB MLE	TOR	77%	382	335	77	9	3	4	35	76	9	5	3	230	319	312	631	82	283	20	9	291	83	-8	-0	-3	+4	+8	0.1
2038	33	MLB MLE	TOR	79%	348	305	68	8	2	3	32	72	8	4	4	224	312	298	610	74	279	21	9	282	77	-9	-1	-4	+4	+8	-0.3
2028	23	MLB CTX	TOR	43%	131	113	27	3	1	1	13	23	4	5	1	242	336	316	652	74	292	18	10	302	89	-2	+1	-0	+1	+3	0.3
2029	24	MLB CTX	TOR	58%	217	188	46	5	2	2	21	38	6	7	1	246	339	334	673	88	293	18	10	309	95	-1	+1	-0	+2	+5	0.7
2030	25	MLB CTX	TOR	65%	268	233	58	7	2	4	26	48	7	8	2	248	340	346	686	98	294	18	10	314	98	-1	+1	+0	+3	+6	0.9
2031	26	MLB CTX	TOR	68%	296	259	64	8	2	5	28	53	7	8	2	248	340	353	693	105	293	18	9	316	99	-0	+1	+0	+3	+6	1.0
2032	27	MLB CTX	TOR	68%	300	261	64	8	2	5	29	55	7	8	2	247	338	353	692	106	293	18	10	315	99	-1	+1	+0	+3	+6	1.0
2033	28	MLB CTX	TOR	68%	299	261	64	8	2	5	29	55	7	7	1	246	336	349	685	103	292	18	10	312	97	-1	+1	-0	+3	+6	0.9
2034	29	MLB CTX	TOR	66%	287	251	61	8	2	4	27	54	7	6	1	243	334	343	676	99	291	19	9	309	95	-2	+1	-1	+3	+6	0.8
2035	30	MLB CTX	TOR	71%	300	262	63	8	2	4	28	57	7	5	1	240	330	335	665	95	290	19	9	305	92	-3	+1	-1	+3	+6	0.6
2036	31	MLB CTX	TOR	75%	302	264	63	8	2	4	28	59	7	4	1	236	326	325	651	89	287	20	9	299	88	-4	+0	-2	+3	+7	0.4
2037	32	MLB CTX	TOR	77%	294	258	59	7	2	3	27	59	7	4	2	231	320	313	633	82	284	20	9	292	83	-6	+0	-3	+3	+6	0.1
2038	33	MLB CTX	TOR	79%	273	240	54	6	2	3	25	56	6	3	3	225	313	300	613	74	280	21	9	283	77	-7	-1	-3	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2967	2590	623	76	21	40	281	557	72	65	17	241	332	332	664	92	290	19	9	305	91	-28	+6	-10	+32	+64	6.5
/ 162G	—	A+C		—	650	567	137	17	5	9	62	122	16	14	4	242	333	337	670	95	292	19	10	305	91	-6	+1	-2	+7	+14	1.4
Career	—	MLE		—	5360	4671	1129	132	42	58	511	1002	141	184	41	242	335	325	660	83	295	19	10	303	91	-45	+11	-15	+49	+100	10.2
/ 162G	—	MLE		—	650	566	137	16	5	7	62	122	17	22	5	242	334	325	659	83	295	19	10	303	91	-6	+2	-2	+7	+14	1.4

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 A+Vancouver Canadians · 263 PAwOBA .373 → .333 (−40)K% 13.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.31%	÷1.000	×1.350	—	—	17.97%
BB% (unintentional) /PA	13.69%	÷1.000	×0.710	—	×1.027	9.98%
HBP% /PA	4.56%	—	×0.810	—	×1.027	3.80%
Singles /BIP	31.84%	÷1.000	×0.910	×1.050	×1.027	31.25%
Doubles /BIP	3.35%	÷1.000	×0.830	×1.050	×1.027	3.00%
Triples /BIP	1.68%	÷1.000	×0.820	×1.050	×1.027	1.48%
Home runs /BIP	0.56%	÷1.000	×0.830	—	×1.027	0.48%

Factors used: level-wide A+ 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 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .373 → .333; ISO .070 → .062; BABIP .369 → .357. 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).

2026 AMyrtle Beach Pelicans · 105 PAwOBA .326 → .294 (−32)K% 9.5% → 13.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷1.000	×1.360	—	—	12.95%
BB% (unintentional) /PA	10.48%	÷1.000	×0.690	—	×1.015	7.34%
HBP% /PA	3.81%	—	×0.780	—	×1.015	3.02%
Singles /BIP	22.37%	÷1.000	×0.920	×1.009	×1.015	21.07%
Doubles /BIP	3.95%	÷1.000	×0.830	×1.009	×1.015	3.35%
Triples /BIP	3.95%	÷1.000	×0.910	×1.009	×1.015	3.68%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.015	0.00%

Factors used: level-wide A 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 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .326 → .294; ISO .105 → .100; BABIP .299 → .278. 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 AMyrtle Beach Pelicans · 389 PAwOBA .314 → .269 (−44)K% 14.9% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.91%	÷0.956	×1.360	—	—	21.21%
BB% (unintentional) /PA	15.94%	÷1.106	×0.690	—	×1.030	10.24%
HBP% /PA	2.83%	—	×0.780	—	×1.030	2.27%
Singles /BIP	26.85%	÷0.990	×0.920	×1.050	×1.030	27.00%
Doubles /BIP	2.33%	÷0.968	×0.830	×1.050	×1.030	2.17%
Triples /BIP	0.78%	÷1.150	×0.910	×1.050	×1.030	0.67%
Home runs /BIP	0.00%	÷0.925	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 98, 2B 94, 3B 130, K 91, BB 121 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .314 → .269; ISO .032 → .029; BABIP .300 → .298. 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
#1Spike Owen'83-'95 * career totals — 13 seasons, 5,615 PA	8.5	5,615	46	82	242*	322*	356*	+55	+30	15.6	15.3
/162	664	5	10	+6.5	+3.6	1.8	pk7: 15
#2Mike Bordick'90-'03 * career totals — 13 seasons, 6,484 PA	9.8	6,484	91	96	250*	311*	357*	+65	-10	12.7	14.0
/162	664	9	10	+6.7	-1.0	1.3	pk7: 15
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.5	2,969	40	64	241	328	334	+32	+4	8.9	8.1
/162	664	9	14	+7.1	+0.9	2.0	pk7: 7
#5Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
#6Kevin Stocker'93-'00 * career totals — 8 seasons, 3,197 PA	4.8	3,197	23	45	241*	324*	337*	+34	+8	6.4	6.5
/162	664	5	9	+7.1	+1.8	1.3	pk7: 7

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 Southisene (OGILVIE)	22	—	—	—	—	232/328/285	53	289	0	9	18%	10%	82	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ricardo Ferreira 2016 · A	21	52	35→30	60	58	235/338/301	66	307	2	25	21%	12%	88	+0.5	219/281/293	74	322	4	19	30%	7%	64	-1.3	223/263/298	74	316	6	25	30%	5%	55	-0.6
✕Kyle Mottice 2019 · A	23	49	35→30	58→55	54	226/330/288	62	269	2	18	15%	9%	84	+0.1	231/325/290	59	283	2	18	17%	8%	82	-0.0	240/333/283	43	295	0	25	16%	7%	79	-0.1
●Maikel Garcia 2022 · A	22	51→58	39→45	58→60	51	240/305/333	93	302	5	22	21%	9%	82	-0.0	250/306/350	100	317	7	27	22%	8%	86	+0.3	260/322/390	130	293	10	24	14%	8%	102	+1.4
✕Adrian Pinto 2024 · A	21	48	38→45	56→65	53	222/315/303	82	283	4	25	21%	10%	81	-0.1	237/306/380	143	292	14	11	23%	8%	95	+0.9	237/306/381	144	288	10	4	20%	8%	90	+0.2
✕Yonny Hernández 2019 · AA	21	49→59	35→30	56→60	53	229/308/291	62	282	2	27	18%	9%	74	-0.5	240/331/296	56	307	2	27	20%	10%	84	+0.2	266/328/324	58	317	2	17	16%	7%	85	+0.1
✕Nate Furman 2024 · A	23	51→56	34→40	57→55	56	232/325/284	52	281	1	24	17%	10%	80	-0.1	256/335/354	98	305	9	18	18%	9%	99	+1.2	273/347/381	108	317	11	17	16%	9%	106	+0.9
✕Carlos Mendoza 2022 · A	22	52→56	37→40	55	58	239/338/313	74	288	3	18	17%	11%	91	+0.7	238/338/308	70	305	3	14	20%	11%	91	+0.6	246/335/334	88	300	7	18	19%	10%	93	+0.6
✕Austin Martin 2023 · AA	24	50→55	38→40	57→60	52	230/333/311	81	290	5	25	20%	9%	90	+0.6	242/331/329	87	297	6	24	19%	10%	92	+0.7	256/352/337	81	314	4	22	17%	11%	102	+0.9
✕Gabriel Mejia 2017 · A	22	52	34→30	58→70	51	241/306/298	57	298	1	34	19%	8%	74	-0.5	213/262/265	52	285	1	16	24%	6%	50	-2.3	211/257/249	37	274	0	19	22%	5%	43	-0.8
●Brett Bateman 2024 · A	22	51→61	37→30	54→55	55	238/324/309	70	307	4	18	22%	11%	84	+0.2	252/333/313	61	337	3	21	23%	11%	88	+0.5	267/352/328	61	355	3	23	23%	11%	96	+0.8
✕Shawn O'Malley 2011 · AA	23	47→57	35→40	57→60	47	217/301/275	58	294	2	26	25%	8%	69	-0.9	233/296/303	70	299	3	24	21%	7%	72	-0.7	259/320/356	97	321	5	23	20%	7%	91	+0.4
✕Jesus Castillo 2024 · A	21	46→43	34→30	52→50	57	210/318/255	45	283	2	21	24%	12%	72	-0.7	208/292/260	52	295	3	17	28%	9%	62	-1.4	210/275/254	44	298	4	15	29%	7%	50	-1.1
✕Najee Gaskins 2021 · A	23	49	37→30	56→50	48	228/307/308	80	301	3	18	24%	8%	78	-0.3	209/272/285	76	343	4	10	38%	6%	60	-1.6	199/266/262	63	345	4	9	40%	5%	51	-0.7
✕Eddy Diaz 2021 · A	21	46→53	37→40	58→65	52	214/284/293	79	254	3	26	16%	8%	65	-1.2	219/277/283	64	305	3	29	27%	5%	61	-1.5	209/270/269	60	291	3	31	27%	5%	52	-1.3
✕Tyler Pastornicky 2011 · AA	21	49→59	39→45	58→60	49	233/290/320	87	278	6	29	18%	7%	74	-0.6	262/305/359	97	304	7	19	16%	6%	88	+0.4	278/316/373	95	318	7	16	14%	5%	93	+0.5
✕Henry Henry 2009 · A	22	48	36→30	54→60	53	223/296/291	68	248	3	24	11%	8%	70	-0.8	211/266/281	70	248	4	16	16%	6%	56	-1.9	176/216/216	40	192	5	19	11%	4%	18	-0.8
●Kelby Tomlinson 2012 · A	22	49→59	40	56→60	44	234/283/338	104	296	6	13	22%	6%	75	-0.5	221/277/278	57	300	2	21	25%	7%	59	-1.7	281/338/348	67	341	3	24	17%	7%	96	+0.7
✕Marcus Sanders 2007 · A	21	47→57	36→30	59→60	48	221/294/290	69	297	4	31	25%	8%	69	-0.9	221/290/293	72	294	3	23	24%	8%	68	-1.0	228/303/293	65	301	0	28	22%	9%	70	-0.5
✕Nick Van Stratten 2007 · A	22	48→58	39→40	58→55	50	227/289/323	96	251	5	12	12%	6%	74	-0.5	248/304/352	104	288	5	12	15%	6%	86	+0.3	297/333/377	79	333	3	23	11%	4%	98	+0.5
✕Luis Durango 2008 · A	22	53→63	35→30	51→60	53	247/320/306	59	295	2	17	16%	8%	82	-0.0	276/341/323	47	333	1	22	16%	9%	93	+0.8	289/354/322	33	347	0	30	15%	9%	94	+0.8

Ty Southisene

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps