Brendan Summerhill

CF Charleston RiverDogs

Age 23 L/R 6'3" / 200 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1062ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ATB	42	.333/.429/.444	0	5	109	—	.289/.357/.395
2026	22	A+/A/ROK/INTL2 orgs	395	.256/.362/.357	5	28	65	—	.207/.284/.290
2027PROJMLE	23	MLBTB	463	.229/.299/.336	7	11	80	0.0
2028PROJ30% MLB	24	MLBTB	88	.235/.304/.348	2	2	84	0.1
2029PROJ44% MLB	25	MLBTB	153	.236/.307/.356	3	3	87	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

Whiff%81

Speed80

Z-Con%73

K%66

wRC+31

wOBA30

Career WAR0.0 WAR median (P10 -0.4 / P90 1.2, comp-based) · star 1% · didn't stick 96%

CompsTristan Peters (age 23) · Troy Montgomery (age 23) · Brock Stassi (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†80

AVG/OBP/SLG.227 / .297 / .333

PA210

HR3

SB5

K%23

BB%8

ISO107

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.8M	+$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. 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	21	A	Charleston RiverDogs	—	42	36	12	2	1	0	6	5	0	5	1	333	429	444	873	111	387	12	14	393	109	—	—	—	—	—	—
2026	22	A+	Bowling Green Hot Rods	—	67	60	17	0	0	1	4	14	2	7	0	283	348	333	682	50	348	21	6	311	50	—	—	—	—	—	—
2026	22	A	Charleston RiverDogs	—	288	245	58	10	3	4	39	39	3	14	5	237	348	351	699	114	267	14	14	321	59	—	—	—	—	—	—
2026	22	ROK	FCL Rays	—	22	18	6	2	0	0	3	2	0	3	0	333	429	444	873	111	353	9	14	376	84	—	—	—	—	—	—
2026	22	INTL	Scottsdale Scorpions	—	18	13	5	1	0	0	4	3	1	4	0	385	556	462	1.017	77	500	17	22	468	203	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	353	17	10	329	109	—	—	—	—	—	—
2026	22	A+ MLE	Bowling Green Hot Rods	—	67	62	14	0	0	1	2	18	2	7	0	226	273	274	547	48	292	27	3	242	50	—	—	—	—	—	—
2026	22	A MLE	Charleston RiverDogs	—	288	257	51	8	3	3	27	53	3	14	5	198	282	288	570	89	237	18	9	256	59	—	—	—	—	—	—
2026	22	ROK MLE	FCL Rays	—	22	19	5	2	0	0	2	3	0	3	0	263	333	368	702	105	269	14	9	292	84	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	355	17	10	329	109	—	—	—	—	—	—
2025	21	A RAW	Charleston RiverDogs	—	42	36	12	2	1	0	6	5	0	5	1	333	429	444	873	111	387	12	14	393	109	—	—	—	—	—	—
2026	22	A MLE	4 teams	—	395	354	73	10	3	4	32	78	6	28	5	206	283	285	568	79	252	20	8	256	59	—	—	—	—	—	—
2026	22	A RAW	4 teams	—	395	336	86	13	3	5	50	58	6	28	5	256	362	357	719	101	295	15	13	329	59	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	353	17	10	329	109	—	—	—	—	—	—
2026	22	A MLE	4 teams	—	395	354	73	10	3	4	32	78	6	28	5	206	283	285	568	79	249	20	8	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	353	17	10	329	109	—	—	—	—	—	—
2026	22	A MLE	4 teams	—	395	354	73	10	3	4	32	78	6	28	5	206	283	285	568	79	249	20	8	256	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	TB	0%	463	418	95	17	3	7	37	105	5	11	2	229	299	336	635	107	286	23	8	287	80	-11	+1	-1	+2	+10	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	TB	30%	291	263	61	11	2	5	23	65	3	7	1	232	302	348	650	115	287	22	8	293	84	-5	+1	+0	+1	+6	0.3
2029	25	MLB MLE	TB	44%	346	311	73	13	2	7	28	78	4	8	2	234	305	356	660	121	288	23	8	297	87	-5	+1	+0	+1	+7	0.4
2030	26	MLB MLE	TB	51%	377	339	79	14	2	8	31	84	4	8	2	235	306	361	666	125	288	22	8	299	89	-5	+1	+0	+1	+8	0.5
2031	27	MLB MLE	TB	52%	390	351	82	15	2	8	32	88	4	8	2	235	305	360	666	126	287	23	8	299	89	-5	+1	+0	+1	+8	0.5
2032	28	MLB MLE	TB	53%	392	353	82	15	2	8	32	89	4	8	2	233	304	358	662	125	287	23	8	298	88	-6	+1	-1	+1	+8	0.4
2033	29	MLB MLE	TB	53%	386	348	80	14	2	8	31	89	4	7	2	231	301	352	653	121	285	23	8	294	85	-7	+1	-1	+1	+8	0.2
2034	30	MLB MLE	TB	52%	376	340	77	14	2	7	30	88	3	6	2	228	298	344	642	116	283	23	8	289	82	-8	+0	-2	+1	+8	-0.0
2028	24	MLB CTX	TB	30%	88	80	19	3	1	2	7	20	1	2	0	235	304	348	653	114	291	23	8	294	84	-2	+0	+0	+0	+2	0.1
2029	25	MLB CTX	TB	44%	153	138	33	6	1	3	12	34	2	3	1	236	307	356	662	119	291	22	8	298	87	-2	+0	+0	+1	+3	0.2
2030	26	MLB CTX	TB	51%	191	171	41	7	1	4	16	43	2	4	1	237	308	361	668	123	291	23	8	300	89	-3	+0	+0	+1	+4	0.3
2031	27	MLB CTX	TB	52%	204	183	42	7	1	4	17	46	2	4	1	237	307	360	668	124	291	23	8	300	89	-3	+0	+0	+1	+4	0.3
2032	28	MLB CTX	TB	53%	209	188	44	8	1	4	17	48	2	4	1	235	306	358	664	123	290	23	8	298	88	-3	+0	-0	+1	+5	0.2
2033	29	MLB CTX	TB	53%	203	182	42	7	1	4	17	47	2	4	1	233	303	352	655	119	289	23	8	295	85	-4	+0	-1	+1	+4	0.1
2034	30	MLB CTX	TB	52%	196	176	41	7	1	4	16	46	2	3	1	230	300	344	644	114	287	23	8	290	82	-4	+0	-1	+1	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1244	1118	262	45	7	25	102	284	13	24	6	234	306	354	660	120	291	23	8	297	83	-20	+2	-2	+4	+27	1.2
/ 162G	—	A+C		—	650	584	138	24	4	13	53	148	7	13	3	236	307	358	665	122	293	23	8	297	83	-11	+1	-1	+2	+14	0.6
Career	—	MLE		—	3205	2886	661	116	19	58	260	713	34	90	20	229	300	343	643	114	283	22	8	291	83	-47	+6	-4	+10	+60	2.5
/ 162G	—	MLE		—	650	585	135	24	4	12	53	145	7	18	4	231	302	347	649	116	285	22	8	291	83	-11	+1	-1	+2	+14	0.6

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 ACharleston RiverDogs · 288 PAwOBA .314 → .256 (−58)K% 13.5% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.54%	÷1.000	×1.360	—	—	18.42%
BB% (unintentional) /PA	13.54%	÷1.000	×0.690	—	×0.990	9.25%
HBP% /PA	1.04%	—	×0.780	—	×0.990	0.80%
Singles /BIP	19.90%	÷1.000	×0.920	×0.997	×0.990	18.07%
Doubles /BIP	4.85%	÷1.000	×0.830	×0.997	×0.990	3.98%
Triples /BIP	1.46%	÷1.000	×0.910	×0.997	×0.990	1.31%
Home runs /BIP	1.94%	÷1.000	×0.800	—	×0.990	1.54%

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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .314 → .256; ISO .114 → .094; BABIP .267 → .237. 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 A+Bowling Green Hot Rods · 67 PAwOBA .307 → .242 (−65)K% 20.9% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.90%	÷1.000	×1.310	—	—	27.37%
BB% (unintentional) /PA	5.97%	÷1.000	×0.600	—	×0.998	3.57%
HBP% /PA	2.99%	—	×0.770	—	×0.998	2.29%
Singles /BIP	34.78%	÷1.000	×0.870	×0.969	×0.998	29.27%
Doubles /BIP	0.00%	÷1.000	×0.780	×0.969	×0.998	0.00%
Triples /BIP	0.00%	÷1.000	×0.850	×0.969	×0.998	0.00%
Home runs /BIP	2.17%	÷1.000	×0.880	—	×0.998	1.91%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .307 → .242; ISO .050 → .043; BABIP .348 → .292. 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 ROKFCL Rays · 22 PAwOBA .385 → .292 (−93)K% 9.1% → 13.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷1.000	×1.440	—	—	13.09%
BB% (unintentional) /PA	13.64%	÷1.000	×0.620	—	×0.965	8.16%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	25.00%	÷1.000	×0.820	—	×0.965	19.78%
Doubles /BIP	12.50%	÷1.000	×0.720	—	×0.965	8.69%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	0.00%

Factors used: level-wide ROK 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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .385 → .292; ISO .111 → .084; BABIP .353 → .269. 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 ACharleston RiverDogs · 42 PAwOBA .384 → .329 (−55)K% 11.9% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.90%	÷1.006	×1.360	—	—	16.10%
BB% (unintentional) /PA	14.29%	÷0.985	×0.690	—	—	10.01%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	29.03%	÷1.013	×0.920	—	—	26.37%
Doubles /BIP	6.45%	÷0.850	×0.830	—	—	6.30%
Triples /BIP	3.23%	÷1.121	×0.910	—	—	2.62%
Home runs /BIP	0.00%	÷1.159	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 103, 2B 70, 3B 124, K 101, BB 97 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .384 → .329; ISO .111 → .099; BABIP .387 → .353. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#2Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	2.7	1,773	30	72	245*	304*	365*	+1	+10	3.2	3.2
/162	664	11	27	+0.3	+3.9	1.2	pk7: 3
#3Marvell Wynne'83-'90 * career totals — 8 seasons, 2,937 PA	4.4	2,937	40	80	245*	297*	380*	+2	-0	1.9	2.4
/162	664	9	18	+0.5	-0.1	0.4	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.2	1,453	28	30	233	300	353	-7	+0	0.9	0.9
/162	664	13	14	-3.1	+0.0	0.4	pk7: 1
#4Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#5Damon Buford'93-'01 * career totals — 8 seasons, 2,072 PA	3.1	2,072	54	56	230*	296*	371*	-1	-2	0.2	0.8
/162	664	17	18	-0.4	-0.5	0.1	pk7: 1
#6Herm Winningham'84-'92 * career totals — 8 seasons, 2,069 PA	3.1	2,069	19	105	238*	296*	357*	+1	-3	-0.5	0.2
/162	664	6	34	+0.3	-1.1	-0.2	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
Brendan Summerhill (OGILVIE)	23	—	—	—	—	227/297/333	106	286	3	5	23%	8%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Tristan Peters 2023 · AA	23	48→53	43→50	53→50	49	229/296/351	122	291	8	14	23%	8%	83	+0.1	231/299/350	119	288	9	12	22%	8%	84	+0.2	233/307/367	134	284	11	9	21%	8%	90	+0.5
✕Troy Montgomery 2018 · AA	23	47→56	43→40	51→50	47	228/290/338	111	289	10	13	24%	8%	78	-0.3	229/298/316	87	319	6	12	27%	9%	76	-0.4	251/326/321	70	360	2	15	28%	10%	86	+0.2
✕Brock Stassi 2013 · A	23	45→55	42→45	51→45	47	218/276/326	108	271	9	9	23%	7%	70	-0.8	235/285/330	95	277	7	7	17%	6%	74	-0.6	237/307/363	127	275	13	1	18%	9%	90	+0.4
✕Joe McCarthy 2017 · A	23	48→51	42→45	51→50	51	232/316/340	108	294	9	14	23%	9%	89	+0.5	224/311/350	126	295	10	12	25%	10%	89	+0.5	204/287/361	156	270	18	5	30%	9%	82	-0.0
✕Chris Meyers 2022 · A	23	40→46	41→50	51→40	45	197/266/297	101	258	8	11	26%	7%	61	-1.5	222/279/357	135	292	15	6	28%	6%	79	-0.2	226/286/369	143	292	17	3	28%	6%	81	-0.0
●Tim Wheeler 2011 · A	23	44→54	44→50	50	43	217/279/332	116	278	12	14	26%	6%	73	-0.6	242/297/373	131	316	13	13	26%	6%	89	+0.5	247/301/371	124	324	12	13	26%	6%	87	+0.3
●Ka'ai Tom 2018 · A	24	45→49	43→55	52→50	46	220/281/340	120	278	10	15	24%	7%	75	-0.5	233/296/390	157	299	16	10	26%	7%	93	+0.8	221/294/380	160	285	17	7	28%	7%	88	+0.3
✕Chris Pieters 2018 · A	23	45	40→45	51→55	44	213/278/313	100	287	7	13	27%	7%	68	-1.0	208/259/299	91	298	6	11	30%	6%	57	-1.8	170/204/219	49	257	0	15	32%	4%	17	-0.8
✕Andrew Aplin 2014 · A	23	46→56	42→40	52→55	53	222/289/333	111	253	9	14	16%	9%	77	-0.3	235/308/317	82	287	6	22	18%	10%	80	-0.1	233/308/303	70	291	5	27	20%	10%	75	-0.4
✕Blake Tekotte 2010 · A	23	43→47	43→50	50→55	47	213/273/320	107	259	10	15	22%	7%	68	-1.0	222/284/369	147	288	16	21	27%	7%	84	+0.1	216/278/370	155	284	17	23	29%	7%	78	-0.2
●Alan Roden 2023 · A	23	46→56	40→45	51→50	51	220/300/313	93	262	7	12	19%	8%	77	-0.3	259/337/379	120	303	10	14	17%	8%	105	+1.7	264/342/387	123	307	11	14	17%	8%	106	+1.4
✕Forrest Wall 2018 · A	22	46→55	40→45	50→70	43	224/276/319	94	291	8	16	25%	6%	68	-1.0	221/281/330	109	307	9	19	29%	7%	73	-0.6	250/321/350	101	344	8	50	27%	8%	89	+0.3
✕Tucker Bradley 2022 · A	24	48→52	41→45	54→50	46	227/298/334	107	309	8	11	28%	8%	80	-0.1	243/308/371	128	315	11	15	25%	8%	93	+0.8	250/316/388	137	318	12	17	24%	8%	97	+0.7
✕Taylor Trammell 2021 · AA	23	43→48	40→55	51→55	47	206/284/296	90	293	8	17	30%	9%	67	-1.1	219/299/381	162	297	19	15	31%	9%	92	+0.7	213/300/386	173	283	21	17	31%	10%	93	+0.5
✕Hoy Park 2019 · A	23	46→52	39→45	55	51	220/302/306	86	289	6	17	25%	10%	76	-0.4	234/313/331	97	308	7	16	24%	10%	85	+0.2	217/305/329	112	291	12	18	27%	10%	81	-0.0
✕Phillip Ervin 2015 · A	23	42→51	43→50	56→55	43	208/262/325	118	265	9	16	25%	6%	65	-1.2	211/283/329	118	266	11	24	24%	8%	74	-0.5	240/304/385	144	304	14	21	24%	7%	93	+0.6
✕Joey Rickard 2014 · A	23	46→56	41→45	52→55	48	219/300/322	104	288	7	16	25%	8%	79	-0.2	243/317/336	93	310	5	16	21%	9%	88	+0.4	260/325/362	103	324	6	16	20%	8%	95	+0.6
✕Darrell Ceciliani 2013 · A	23	50→56	39→45	52→55	45	236/297/329	93	311	6	14	25%	7%	78	-0.3	252/293/355	103	336	8	22	26%	5%	82	+0.0	259/299/367	108	345	9	26	26%	4%	86	+0.2
✕Marty Costes 2019 · A	23	46→56	42→45	53→50	45	221/301/333	112	271	8	11	20%	6%	82	+0.0	232/308/342	110	284	9	10	21%	8%	86	+0.3	252/337/361	108	322	8	16	22%	8%	99	+0.6
✕Daryl Jones 2011 · AA	24	48→57	41→45	50	46	232/299/334	102	296	8	13	24%	7%	80	-0.1	216/283/329	113	296	10	12	29%	7%	74	-0.5	203/275/319	116	287	12	12	32%	8%	67	-0.4

Brendan Summerhill

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps