Gavin Kilen

SS Eugene Emeralds

Age 23 L/R 5'10" / 187 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP40OGV rank#351ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ASF	43	.205/.279/.282	0	0	31	—	.175/.233/.250
2026	22	AA/A+SF	492	.286/.353/.464	11	1	89	—	.248/.299/.394
2027PROJMLE	23	MLBSF	1	.241/.293/.370	0	0	89	0.0
2028PROJ38% MLB	24	MLBSF	165	.243/.297/.377	3	3	92	0.4
2029PROJ55% MLB	25	MLBSF	250	.243/.298/.381	5	4	94	0.6

Next 3 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$1M+2

Skills · percentileMiLB Statcast 2026 AA

Z-Con%99

Whiff%95

K%92

wRC+68

ISO64

wOBA63

Career WAR0.3 WAR median (P10 -0.0 / P90 15, comp-based) · star 8% · didn't stick 64%

CompsReid Brignac (age 23) · Blake DeWitt (age 23) · Bryan Anderson (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†89

AVG/OBP/SLG.241 / .293 / .370

PA1

HR0

K%20

BB%6

BABIP286

ISO129

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

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
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	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Arb-1	$1M	+0.3	$0.7M	+$0.0M
2035	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$7M	—	—	—
Totals		$4M		$6M	+$4M

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	San Jose Giants	—	43	39	8	1	1	0	3	5	1	0	0	205	279	282	561	77	235	12	7	259	31	—	—	—	—	—	—
2026	22	AA	Richmond Flying Squirrels	—	143	128	38	10	3	2	11	22	0	1	1	297	353	469	821	172	333	15	8	352	107	—	—	—	—	—	—
2026	22	A+	Eugene Emeralds	—	349	312	88	27	1	9	32	48	2	0	2	282	353	462	814	179	306	14	9	358	81	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	San Jose Giants	—	43	40	7	1	1	0	2	7	1	0	0	175	233	250	483	75	216	16	5	214	31	—	—	—	—	—	—
2026	22	AA MLE	Richmond Flying Squirrels	—	143	131	37	9	3	2	8	27	0	1	1	282	324	443	766	160	321	19	6	327	107	—	—	—	—	—	—
2026	22	A+ MLE	Eugene Emeralds	—	349	321	75	22	1	7	23	65	2	0	2	234	289	374	663	140	264	19	7	288	81	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	43	40	7	1	1	0	2	7	1	0	0	175	233	250	483	75	212	16	5	214	31	—	—	—	—	—	—
2025	21	A RAW	San Jose Giants	—	43	39	8	1	1	0	3	5	1	0	0	205	279	282	561	77	235	12	7	259	31	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	492	452	112	31	4	9	31	92	2	1	3	248	299	394	693	146	288	19	6	299	89	—	—	—	—	—	—
2026	22	A+ RAW	2 teams	—	492	440	126	37	4	11	43	70	2	1	3	286	353	464	816	177	314	14	9	356	89	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	43	40	7	1	1	0	2	7	1	0	0	175	233	250	483	75	216	16	5	214	31	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	492	456	112	31	4	9	31	92	2	1	3	246	299	390	689	145	281	19	6	299	89	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	San Jose Giants	—	43	40	7	1	1	0	2	7	1	0	0	175	233	250	483	75	216	16	5	214	31	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	492	456	112	31	4	9	31	92	2	1	3	246	299	390	689	145	281	19	6	299	89	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SF	0%	501	462	114	26	4	10	31	100	3	7	3	244	297	379	676	134	289	20	6	300	89	-7	+0	-2	+5	+11	0.5
▸ 2027 — real world (MLB)
2027	23	MLB CTX	SF	0%	1	1	0	0	0	0	0	0	0	0	0	241	293	370	664	130	286	0	0	295	89	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SF	38%	434	400	98	22	3	9	28	86	3	7	3	247	300	386	687	140	290	20	6	304	92	-4	+0	-1	+5	+9	0.9
2029	25	MLB MLE	SF	55%	450	414	102	23	3	10	30	90	3	8	3	247	302	390	692	143	290	20	7	307	94	-3	+0	-1	+5	+10	1.1
2030	26	MLB MLE	SF	64%	455	418	103	23	3	10	31	91	3	8	3	247	303	391	694	144	290	20	7	308	94	-3	+0	-1	+5	+10	1.2
2031	27	MLB MLE	SF	66%	454	417	102	23	3	10	31	92	3	8	4	246	303	389	692	143	290	20	7	307	94	-3	+0	-1	+5	+10	1.1
2032	28	MLB MLE	SF	67%	448	411	100	22	3	10	31	92	3	7	4	244	302	386	688	141	290	21	7	306	93	-4	-0	-1	+5	+10	0.9
2033	29	MLB MLE	SF	66%	441	405	99	22	3	10	30	92	3	7	4	242	300	380	680	138	289	21	7	302	91	-5	-0	-2	+5	+10	0.7
2034	30	MLB MLE	SF	65%	409	376	89	20	2	8	28	87	2	6	4	240	296	373	669	133	287	21	7	298	88	-6	-0	-3	+4	+9	0.4
2035	31	MLB MLE	SF	65%	392	361	85	19	2	8	26	85	2	4	5	236	292	364	655	128	285	22	7	292	84	-8	-1	-3	+4	+8	0.1
2036	32	MLB MLE	SF	65%	370	341	79	17	2	7	24	82	2	4	10	231	285	352	637	121	281	22	6	285	79	-9	-3	-4	+4	+8	-0.5
2028	24	MLB CTX	SF	38%	165	152	37	9	1	3	11	33	1	3	1	243	297	377	674	135	287	20	7	299	92	-2	+0	-0	+2	+4	0.4
2029	25	MLB CTX	SF	55%	250	229	56	13	2	5	17	50	2	4	2	243	298	381	679	137	287	20	7	301	94	-2	+0	-0	+3	+5	0.6
2030	26	MLB CTX	SF	64%	290	266	65	15	2	6	20	58	2	5	2	243	299	381	681	138	287	20	7	302	94	-2	+0	-0	+3	+6	0.7
2031	27	MLB CTX	SF	66%	298	274	66	15	2	6	20	60	2	5	2	242	299	380	679	138	286	20	7	302	94	-2	+0	-0	+3	+6	0.7
2032	28	MLB CTX	SF	67%	299	274	66	15	2	6	21	62	2	5	2	240	298	376	675	136	286	21	7	300	93	-3	+0	-1	+3	+6	0.7
2033	29	MLB CTX	SF	66%	290	266	64	14	2	6	20	61	2	4	2	238	296	371	667	133	285	21	7	297	91	-3	+0	-1	+3	+6	0.5
2034	30	MLB CTX	SF	65%	266	244	58	13	2	5	18	56	2	4	3	236	293	364	657	128	284	21	7	293	88	-4	-0	-2	+3	+6	0.3
2035	31	MLB CTX	SF	65%	254	234	54	12	1	5	17	55	1	3	3	232	288	355	643	123	281	22	7	287	84	-5	-1	-2	+3	+6	0.1
2036	32	MLB CTX	SF	65%	239	220	50	11	1	4	16	53	1	2	6	227	282	344	626	117	278	22	7	280	79	-6	-2	-3	+3	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2351	2159	516	117	15	46	160	488	15	35	23	239	296	371	667	132	288	21	7	296	89	-28	-2	-11	+25	+51	3.6
/ 162G	—	A+C		—	650	597	142	32	4	13	44	135	4	10	6	238	294	370	664	132	286	21	7	296	89	-8	-1	-3	+7	+14	1.0
Career	—	MLE		—	4598	4229	1023	234	30	95	305	938	28	63	44	242	297	379	676	137	288	20	7	300	89	-48	-4	-18	+44	+88	6.3
/ 162G	—	MLE		—	650	598	144	33	4	13	43	133	4	9	6	241	296	375	671	134	287	20	7	300	89	-8	-1	-3	+7	+14	1.0

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+Eugene Emeralds · 349 PAwOBA .352 → .288 (−64)K% 13.8% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.75%	÷1.000	×1.350	—	—	18.57%
BB% (unintentional) /PA	9.17%	÷1.000	×0.710	—	×1.012	6.59%
HBP% /PA	0.57%	—	×0.810	—	×1.012	0.47%
Singles /BIP	19.32%	÷1.000	×0.910	×0.970	×1.012	17.26%
Doubles /BIP	10.23%	÷1.000	×0.830	×0.970	×1.012	8.34%
Triples /BIP	0.38%	÷1.000	×0.820	×0.970	×1.012	0.31%
Home runs /BIP	3.41%	÷1.000	×0.830	—	×1.012	2.86%

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 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .352 → .288; ISO .179 → .146; BABIP .306 → .264. 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 AARichmond Flying Squirrels · 143 PAwOBA .352 → .327 (−25)K% 15.4% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.000	×1.220	—	—	18.77%
BB% (unintentional) /PA	7.69%	÷1.000	×0.700	—	×1.042	5.61%
HBP% /PA	0.00%	—	×0.850	—	×1.042	0.00%
Singles /BIP	21.70%	÷1.000	×0.970	×0.990	×1.042	21.70%
Doubles /BIP	9.43%	÷1.000	×0.860	×0.990	×1.042	8.37%
Triples /BIP	2.83%	÷1.000	×0.950	×0.990	×1.042	2.77%
Home runs /BIP	1.89%	÷1.000	×0.780	—	×1.042	1.53%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .352 → .327; ISO .172 → .156; BABIP .333 → .321. 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 ASan Jose Giants · 43 PAwOBA .253 → .214 (−40)K% 11.6% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.63%	÷0.962	×1.360	—	—	16.45%
BB% (unintentional) /PA	6.98%	÷1.055	×0.690	—	×1.015	4.63%
HBP% /PA	2.33%	—	×0.780	—	×1.015	1.84%
Singles /BIP	17.65%	÷1.007	×0.920	—	×1.015	16.36%
Doubles /BIP	2.94%	÷1.138	×0.830	—	×1.015	2.18%
Triples /BIP	2.94%	÷0.902	×0.910	—	×1.015	3.01%
Home runs /BIP	0.00%	÷1.358	×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): HR 172, 1B 101, 2B 128, 3B 80, K 92, BB 111 — 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).

Result: wOBA .253 → .214; ISO .077 → .070; BABIP .235 → .216. 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
#1Mike 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
#2Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
#3Yuniesky Betancourtlast yr '13 career totals — 9 seasons, 4,278 PA	6.4	4,278	80	30	261	285	388	+41	-20	6.1	7.2
/162	664	12	5	+6.4	-3.1	0.9	pk7: 8
#4Angel 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
#5Tim Beckhamlast yr '19 career totals — 5 seasons, 1,743 PA	2.6	1,743	63	13	248	301	431	+19	-13	6.1	6.1
/162	664	24	5	+7.1	-4.8	2.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.5	2,352	50	35	243	296	381	+25	-4	5.8	5.6
/162	664	14	10	+7.1	-1.0	1.6	pk7: 5
#6Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3

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
Gavin Kilen (OGILVIE)	23	—	—	—	—	242/294/376	133	289	4	3	20%	6%	89	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Reid Brignac 2009 · AAA	23	47→54	48→55	49→50	42	235/279/382	147	289	15	10	24%	5%	84	+0.2	237/277/355	118	293	11	8	22%	5%	77	-0.3	236/275/340	105	288	9	6	21%	5%	72	-0.5
✕Blake DeWitt 2009 · MLB	23	51→53	46→50	46→40	48	251/301/383	132	284	14	5	18%	6%	93	+0.8	244/303/372	128	278	10	4	16%	7%	91	+0.6	242/303/370	128	275	9	3	15%	7%	90	+0.4
✕Bryan Anderson 2011 · MLB	24	47→57	44→45	49→30	44	234/286/351	117	293	12	4	24%	6%	80	-0.2	220/277/328	108	291	11	3	27%	7%	72	-0.7	209/270/326	117	272	12	1	27%	7%	66	-0.6
✕Jorbit Vivas 2024 · AAA	23	51→57	44→45	52→50	53	247/330/364	117	274	10	11	14%	8%	100	+1.3	227/315/324	97	264	7	14	16%	9%	86	+0.3	220/313/305	85	258	6	13	16%	10%	79	-0.2
✕Carlos Asuaje 2016 · AA	24	49→58	44→45	47→45	46	240/297/366	126	292	9	7	21%	7%	87	+0.4	248/308/354	106	304	7	6	19%	7%	88	+0.5	248/314/349	101	304	6	4	19%	8%	87	+0.4
✕Leo Jiménez 2024 · AAA	23	49→52	42→45	49→45	48	234/321/342	108	294	9	9	22%	8%	92	+0.7	231/325/340	109	290	10	6	23%	8%	93	+0.8	223/330/323	99	283	10	3	22%	8%	91	+0.3
✕Parker Meadows 2023 · AA	23	42→48	48→55	52→55	44	215/274/360	145	274	16	12	28%	7%	78	-0.3	228/295/388	160	293	16	20	27%	8%	92	+0.7	227/300/392	165	291	17	22	27%	9%	94	+0.7
✕Matt Thaiss 2018 · AA	23	50→51	42→55	43→45	49	241/307/347	106	300	8	6	22%	8%	86	+0.3	229/294/372	143	284	15	5	24%	8%	88	+0.4	229/309/386	157	283	18	4	25%	10%	95	+0.7
✕Jimmy Crooks 2024 · A	23	47	44→50	46→40	43	227/290/349	123	306	11	4	29%	7%	81	-0.1	240/306/372	132	335	14	4	30%	7%	92	+0.7	240/311/381	141	337	17	2	32%	8%	94	+0.6
✕Juan Carlos Gamboa 2014 · AAA	23	46	42→45	49→50	42	224/276/332	108	303	10	9	28%	6%	72	-0.7	253/307/360	107	316	8	8	21%	6%	89	+0.5	264/316/369	104	329	9	6	21%	6%	95	+0.5
✕Jesse Castillo 2006 · AAA	23	47→57	46→45	51→50	45	235/294/367	133	291	13	10	24%	6%	86	+0.3	268/335/357	89	331	5	6	19%	8%	99	+1.2	268/327/383	116	312	12	13	17%	8%	102	+1.2
✕Shed Long Jr. 2019 · AA	23	49→50	47→50	51→50	44	238/300/376	138	319	14	13	29%	7%	91	+0.7	230/290/373	143	310	15	10	29%	8%	86	+0.3	222/283/373	151	295	17	8	29%	8%	83	+0.0
✕Hank Conger 2011 · MLB	23	52→58	45→50	41→45	50	255/312/383	128	294	12	3	18%	8%	97	+1.1	239/294/373	134	281	15	3	20%	7%	88	+0.5	230/300/385	155	282	18	0	24%	8%	94	+0.4
✕Drew Gilbert 2024 · AA	23	49→50	49→50	49→45	47	248/313/399	151	299	17	12	23%	8%	101	+1.4	225/300/374	149	266	16	8	22%	8%	91	+0.7	217/301/368	151	248	17	6	20%	8%	89	+0.4
✕Taylor Lindsey 2015 · AAA	23	47→53	45→50	45	46	233/278/355	122	263	12	6	17%	5%	78	-0.3	197/255/307	110	240	11	7	22%	7%	58	-1.7	173/235/274	101	214	10	5	24%	7%	42	-1.9
●Dustin Ackley 2011 · AAA	23	50→57	42→50	51→50	53	239/314/359	120	283	7	9	18%	9%	92	+0.7	253/323/376	123	301	10	9	18%	9%	99	+1.3	255/325/372	117	301	10	8	18%	9%	99	+1.3
✕Livan Soto 2023 · MLB	23	49→57	40	49→50	46	233/295/323	90	308	7	13	26%	8%	76	-0.4	227/299/314	87	302	7	7	25%	9%	76	-0.4	214/292/291	77	285	7	3	25%	9%	66	-0.8
✕Miguel Amaya 2022 · AA	23	44→43	44→50	50→40	51	216/311/333	117	280	11	7	25%	10%	86	+0.3	226/312/365	139	299	15	5	28%	9%	94	+0.9	230/302/374	144	273	16	1	22%	7%	92	+0.3
✕Nick Gordon 2019 · AAA	23	48→57	40→50	52→55	41	232/276/332	101	302	7	14	25%	5%	71	-0.8	238/281/352	114	307	9	20	24%	5%	78	-0.3	257/301/391	134	328	10	19	24%	4%	94	+0.5
✕Nelson Quiroz 2024 · A	22	47	44→40	49→40	49	232/294/354	122	277	11	6	20%	8%	84	+0.1	243/290/320	77	279	4	3	14%	6%	74	-0.6	263/309/325	62	294	2	0	11%	6%	77	-0.1

Gavin Kilen

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps