Gavin Kilen — OGILVIE

Gavin KilenSS Eugene Emeralds

Age 22 L/R 5'10" / 187 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION488 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

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

PA9

HR0

K%22

BB%11

BABIP275

ISO134

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$37M ctrl surplus

Tools · ContractCON 58 / POW 45

Toolsscout grade

CONTACT58

scouting grade only

POWER45

scouting grade only

EYE50

scouting grade only

SPEED48

scouting grade only

DEFENSE50

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2030
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	$0.9M	+1.0	$6M	+$5M
2031	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2032	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2033	Arb-1	$3M	+0.7	$2M	+$0.1M
2034	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2035	Arb-3	$4M	+0.3	$0.6M	+$0.0M (cut)
Totals		$6M		$17M	+$12M

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.

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	62	-2	+0	—	—	+1	-0.1
▸ 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	205	16	5	205	25	-4	+0	—	—	+1	-0.3
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	205	25	—	—	—	—	—	—
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	25	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	43	40	7	1	1	0	2	7	1	0	0	175	233	250	483	75	205	16	5	205	25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	San Jose Giants	—	43	40	7	1	1	0	2	7	1	0	0	175	233	250	483	75	205	16	5	205	25	—	—	—	—	—	—
YTD	22	A+ MLE	SF	—	488	451	105	28	4	9	28	92	2	1	3	233	281	373	653	140	269	19	6	282	77	-13	-1	+0	+5	+11	0.2
▸ 2026 season
YTD	22	A+ RAW	SF	—	349	312	88	27	1	9	32	48	2	0	2	282	353	462	814	179	306	14	9	358	77	—	—	—	—	—	—
YTD	22	AA RAW	SF	—	139	124	38	10	3	2	11	20	0	1	1	306	363	484	847	177	340	14	8	362	77	—	—	—	—	—	—
ROS	22	A+ MLE	SF	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		280	22	11	295	86	-0	+0	-0	+0	+0	0.0
TOT	22	A+ MLE	SF	—	497	459	106	28	4	9	29	94	2	1	3	231	280	368	648	137	267	19	6	282	77	-13	-1	-0	+5	+11	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	43%	527	487	118	28	4	11	32	102	3	6	4	242	293	384	677	142	281	19	6	298	88	-7	-0	-0	+6	+11	0.9
2028	24	MLB MLE	SF	58%	566	521	128	30	4	13	36	110	4	8	5	246	299	393	693	148	283	19	6	304	92	-6	-0	-0	+6	+12	1.2
2029	25	MLB MLE	SF	65%	571	524	129	30	4	14	38	111	4	9	5	246	302	399	701	153	283	19	7	307	94	-4	-0	-0	+6	+12	1.4
2030	26	MLB MLE	SF	68%	570	523	129	30	4	14	38	111	4	9	6	247	303	400	702	153	284	19	7	308	95	-4	-1	-0	+6	+12	1.4
2031	27	MLB MLE	SF	68%	565	518	127	29	4	14	38	110	4	10	6	245	302	398	699	153	284	19	7	308	95	-4	-0	-0	+6	+12	1.4
2032	28	MLB MLE	SF	68%	558	511	124	29	3	13	38	110	4	9	6	243	300	387	688	145	283	20	7	307	94	-4	-1	-1	+6	+12	1.3
2033	29	MLB MLE	SF	66%	550	503	122	28	3	13	38	109	4	9	5	243	301	388	689	145	283	20	7	306	93	-5	-0	-2	+6	+12	1.2
2034	30	MLB MLE	SF	66%	540	494	118	27	3	12	38	109	3	9	5	239	297	379	676	140	282	20	7	303	91	-6	-0	-2	+6	+12	1.0
2035	31	MLB MLE	SF	71%	424	389	91	21	2	9	29	87	3	7	4	234	292	368	660	134	280	21	7	299	89	-6	-0	-3	+5	+9	0.5
2036	32	MLB MLE	SF	74%	406	373	87	20	2	9	28	85	2	6	4	233	290	370	660	137	277	21	7	294	85	-7	-0	-4	+4	+9	0.2
2037	33	MLB MLE	SF	77%	376	345	80	18	2	8	26	80	2	5	3	232	290	365	655	133	273	21	7	287	80	-9	-0	-4	+4	+8	-0.1
2027	23	MLB CTX	SF	43%	229	212	50	12	2	4	14	44	1	3	2	236	286	368	654	132	276	19	6	287	88	-3	-0	-0	+2	+5	0.4
2028	24	MLB CTX	SF	58%	328	302	72	17	2	7	21	64	2	5	3	238	292	377	670	139	277	20	6	292	92	-3	-0	-0	+4	+7	0.7
2029	25	MLB CTX	SF	65%	370	341	81	19	2	8	24	72	2	6	3	238	292	375	667	138	278	19	6	295	94	-3	+0	-0	+4	+8	0.9
2030	26	MLB CTX	SF	68%	388	356	86	20	3	9	26	76	3	6	4	242	299	390	689	149	278	20	7	296	95	-3	-0	-0	+4	+8	1.0
2031	27	MLB CTX	SF	68%	384	352	84	19	2	9	26	75	3	7	4	239	297	381	677	142	278	20	7	296	95	-2	-0	-0	+4	+8	1.0
2032	28	MLB CTX	SF	68%	379	347	82	19	2	8	26	75	3	6	4	236	295	372	667	135	278	20	7	295	94	-3	-0	-1	+4	+8	0.9
2033	29	MLB CTX	SF	66%	365	335	79	18	2	8	25	73	2	6	4	236	293	373	666	137	277	20	7	294	93	-3	-0	-1	+4	+8	0.7
2034	30	MLB CTX	SF	66%	354	324	76	17	2	8	25	71	2	6	3	235	293	373	667	139	276	20	7	291	91	-4	+0	-2	+4	+8	0.6
2035	31	MLB CTX	SF	71%	300	274	64	15	2	6	21	61	2	5	3	234	293	369	662	135	275	20	7	288	89	-4	-0	-2	+3	+6	0.3
2036	32	MLB CTX	SF	74%	302	276	63	14	2	6	21	63	2	4	3	228	288	359	646	130	272	21	7	282	85	-5	-0	-3	+3	+7	0.1
2037	33	MLB CTX	SF	77%	288	264	59	13	2	5	20	61	2	4	2	223	283	345	628	121	268	21	7	276	80	-7	+0	-3	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3687	3383	796	183	23	78	249	735	24	58	35	235	292	372	665	137	277	20	7	291	90	-40	-2	-12	+40	+80	6.7
/ 162G	—	A+C		—	650	596	140	32	4	14	44	130	4	10	6	235	292	372	664	138	276	20	7	291	90	-7	-0	-2	+7	+14	1.2
Career	—	MLE		—	5705	5236	1261	291	36	130	382	1133	38	87	53	241	297	385	682	144	283	20	7	302	90	-61	-4	-17	+61	+123	10.4
/ 162G	—	MLE		—	650	597	144	33	4	15	44	129	4	10	6	241	298	385	683	144	283	20	7	302	90	-7	-0	-2	+7	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#5Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.6	3,688	85	57	242	295	386	+40	+0	9.8	8.8
/162	664	15	10	+7.1	+0.0	1.8	pk7: 8

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)	22	58	45	48	50	237/287/373	136	280	3	1	19%	6%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Wheeler 2010 · A	22	49→55	45→50	48→40	47	241/312/368	127	299	12	8	23%	8%	94	+0.9	248/290/367	119	316	12	4	24%	5%	84	+0.2	253/293/380	127	317	12	4	24%	5%	88	+0.4
✕Jorbit Vivas 2023 · A	22	50→55	44→45	47→50	51	241/315/359	118	268	11	4	15%	7%	93	+0.8	226/310/328	102	260	9	14	16%	8%	84	+0.2	219/309/311	93	253	7	18	16%	9%	79	-0.2
●Graham Pauley 2023 · A	22	45→51	46→55	48→50	52	226/305/358	133	270	13	12	21%	9%	89	+0.5	230/298/389	159	277	18	11	23%	8%	93	+0.8	222/292/383	160	263	19	11	23%	8%	87	+0.3
✕Patrick Mazeika 2016 · A	22	52→51	43→45	48→30	47	250/320/370	120	287	8	4	16%	6%	97	+1.1	243/319/343	100	290	8	3	18%	8%	91	+0.6	235/314/332	97	275	9	1	17%	8%	84	+0.1
✕Carlos Asuaje 2015 · A	23	50→56	48→45	49→45	46	247/307/406	160	306	13	6	23%	7%	100	+1.3	243/299/356	113	298	8	7	20%	7%	85	+0.2	244/309/343	99	298	6	4	19%	8%	83	+0.1
✕Hank Conger 2010 · AA	22	52→57	46→50	45	45	257/299/385	128	297	14	5	19%	6%	92	+0.7	237/293/361	124	276	13	3	19%	7%	84	+0.2	230/303/385	155	283	18	0	24%	8%	92	+0.3
●Yainer Diaz 2021 · A	22	52→60	45→60	50→40	43	255/292/378	123	296	12	5	18%	4%	88	+0.4	263/298/432	169	306	21	3	21%	4%	103	+1.6	280/313/466	185	314	24	1	19%	4%	114	+1.9
✕James Skelton 2008 · A	22	53→57	42→40	51→50	53	255/323/364	109	305	8	13	19%	9%	97	+1.1	234/327/323	89	310	7	13	24%	12%	89	+0.5	229/331/314	85	302	5	10	23%	12%	88	+0.1
✕José Caballero 2019 · A	22	48→46	43→45	47→70	45	232/293/349	117	280	10	9	21%	6%	82	-0.0	219/293/329	110	283	9	26	25%	8%	78	-0.3	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Drew Gilbert 2023 · A	22	48	47→50	53→45	48	239/297/376	137	271	15	16	18%	7%	90	+0.6	224/293/368	144	273	16	9	23%	7%	87	+0.4	210/294/357	148	242	16	5	20%	8%	82	+0.0
✕Matt Thaiss 2017 · A	22	49→50	43→50	45	47	235/285/352	118	272	8	5	17%	6%	79	-0.2	229/291/352	123	286	11	6	23%	8%	82	-0.0	222/303/377	155	275	18	4	25%	10%	90	+0.5
●Mat Gamel 2007 · A	22	47→57	46→50	49→45	42	234/277/366	132	285	14	7	23%	5%	80	-0.2	249/301/393	144	327	13	7	26%	6%	95	+0.9	252/308/403	151	341	14	6	29%	7%	100	+1.2
✕Brandon Jones 2006 · A	22	52→53	47→50	47→50	51	253/324/398	145	304	13	7	21%	9%	105	+1.7	243/292/383	140	308	13	11	24%	6%	89	+0.5	248/303/372	125	312	10	10	23%	7%	90	+0.5
●Justin Yurchak 2018 · A	21	51→61	44→40	49→40	53	251/319/370	119	297	12	4	19%	9%	96	+1.0	230/292/323	93	290	7	3	22%	8%	76	-0.4	278/341/383	104	343	10	2	20%	8%	105	+1.0
✕Canaan Smith-Njigba 2021 · A	22	49→50	44→45	50→55	46	235/299/356	121	318	11	10	28%	8%	86	+0.3	230/301/343	113	337	9	17	31%	9%	84	+0.1	227/299/342	115	335	9	21	32%	9%	79	-0.1
●J.P. Crawford 2016 · AA	21	52→58	41→45	49→50	53	250/315/350	100	290	7	13	16%	9%	90	+0.6	217/291/314	97	267	8	9	20%	9%	74	-0.6	261/353/385	124	305	11	2	17%	11%	110	+2.2
●Eric Sogard 2009 · A	23	52→58	43→45	46→55	53	250/311/363	114	280	9	10	15%	8%	92	+0.7	251/311/348	97	284	7	11	13%	8%	88	+0.4	252/337/372	120	286	11	10	15%	11%	100	+0.8
✕Cole Young 2023 · A	20	50→51	46→45	49→50	47	248/302/374	126	296	14	11	21%	7%	91	+0.7	233/316/354	121	279	10	13	19%	9%	92	+0.7	238/315/361	123	274	12	9	17%	8%	91	+0.6
●Tyler Kuhn 2009 · A	22	55→65	41→40	53→50	44	260/299/376	116	317	5	7	20%	5%	89	+0.5	262/300/347	85	325	3	11	19%	5%	82	+0.0	277/317/363	85	342	2	12	18%	5%	90	+0.5
●Taylor Green 2009 · A	22	51→56	46→50	40→30	50	251/313/380	129	289	14	3	18%	8%	97	+1.1	243/300/372	129	278	13	2	17%	7%	90	+0.6	245/303/383	138	278	14	0	17%	7%	93	+0.6

Career Stats + Projections

Career Comps

Career Path Comps