Christian Koss — OGILVIE

Christian Koss2B San Francisco Giants

Age 28 R/R 6'1" / 185 lbs MLB BB -3% Svc 1.000 · Ctrl thru 2030 peak 0.6 · 2027

wRC+†vL 8487vR 89

AVG/OBP/SLG.246 / .297 / .367

PA250

HR5

SB6

K%26

BB%5

MLB%100%

Scouting · now → future

HIT

55→55

PWR

45→45

SPD

60→60

EYE

40↘35

trajectory · 10 yrs

0.6peak

2027

Contract

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

Status Pre-Arb

MLB Debut 2025

Service 1.000 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2027	Pre-Arb	$0.8M	+0.6	$2M	+$2M
2028	Arb-1	$1M	+0.6	$3M	+$1M
2029	Arb-2	$2M	+0.4	$2M	+$0.2M
2030	Arb-3	$2M	+0.2	$0.9M	+$0.0M (cut)
Totals		$5M		$10M	+$4M

Career Projections (MLE)

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	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
2021	23	A+	2 teams	519	486	104	14	5	16	24	149	5	12	4	.214	.258	.362	.620	.148	.271	29	5	.268	63	-22	+1	+0	+2	+15	-0.4
2022	24	AA	2 teams	629	589	135	21	4	17	19	208	14	19	10	.229	.270	.365	.635	.136	.318	33	3	.272	66	-24	-0	+0	+2	+18	-0.4
2023	25	AA	3 teams	296	277	54	11	2	3	11	82	4	15	3	.195	.236	.282	.518	.087	.264	28	4	.225	31	-23	+2	+0	+1	+8	-1.2
2024	26	AAA	4 teams	365	323	84	22	2	8	23	81	9	15	1	.260	.327	.415	.742	.155	.319	22	6	.314	99	-1	+3	+0	+1	+10	1.4
2025	27	MLB	2 teams	218	201	53	11	0	4	9	53	3	4	2	.264	.305	.378	.683	.114	.336	24	4	.294	83	-4	+0	-0	+1	+6	0.2
▸ 2026 Season
2026	28	MLB	SF	250	231	58	12	1	5	13	65	4	6	1	.251	.302	.377	.679	.126	.322	26	5	.299	87	-4	+1	+0	+1	+7	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB	SF	312	287	70	14	1	6	17	81	5	7	1	.244	.298	.362	.660	.118	.319	26	5	.299	87	-5	+1	-1	+1	+9	0.5
2028	30	MLB	SF	335	308	75	15	1	7	19	87	5	7	1	.244	.298	.367	.665	.123	.316	26	6	.298	86	-5	+1	-2	+1	+9	0.5
2029	31	MLB	SF	320	293	70	14	1	6	19	84	5	5	1	.239	.297	.355	.651	.116	.314	26	6	.296	85	-6	+1	-2	+1	+9	0.3
2030	32	MLB	SF	301	275	66	13	1	6	18	81	5	4	0	.240	.299	.360	.659	.120	.312	27	6	.292	82	-6	+1	-3	+1	+9	0.1
2031	33	MLB	SF	271	249	58	11	1	5	16	74	4	2	0	.233	.290	.345	.635	.112	.311	27	6	.286	77	-7	+0	-4	+1	+8	-0.2
2032	34	MLB	SF	228	210	48	9	1	4	13	65	3	1	0	.229	.283	.338	.621	.110	.310	29	6	.280	72	-7	+0	-5	+1	+6	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4044	3729	875	167	20	87	201	1110	66	97	24	.235	.286	.360	.646	.126	.308	27	5	.284	75	-113	+10	-17	+14	+115	0.9
/ 162G	—			650	599	141	27	3	14	32	178	11	16	4	.235	.287	.361	.647	.125	.308	27	5	.284	75	-18	+2	-3	+2	+18	0.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2021	23	A+	Greenville Drive	468	428	116	18	7	15	31	100	5	10	4	.271	.328	.451	.779	.180	.319	21	7	.341	119	+10	+0	—	—	+13	2.4
2021	23	INTL	Scottsdale Scorpions	51	48	11	1	0	0	3	8	0	2	0	.229	.275	.250	.525	.021	.275	16	6	.244	45	-3	+0	—	—	+1	-0.1
2022	24	AA	Portland Sea Dogs	532	488	127	22	5	17	25	137	12	16	5	.260	.312	.430	.742	.170	.324	26	5	.325	107	+4	+1	—	—	+15	2.1
2022	24	INTL	Criollos de Caguas	97	87	20	3	1	0	7	17	2	3	5	.230	.302	.287	.589	.057	.282	18	7	.271	66	-4	-1	—	—	+3	-0.2
2023	25	AAA	Worcester Red Sox	124	114	27	8	1	1	5	26	3	2	1	.237	.287	.351	.638	.114	.295	21	4	.283	74	-4	+0	—	—	+4	-0.0
2023	25	AA	Portland Sea Dogs	147	134	30	7	1	2	10	33	1	11	1	.224	.283	.336	.619	.112	.283	22	7	.276	69	-5	+2	—	—	+4	0.1
2023	25	ROK	FCL Red Sox	25	24	7	1	0	1	1	6	0	2	1	.292	.320	.458	.778	.167	.353	24	4	.343	121	+1	+0	—	—	+1	0.1
2024	26	AAA	Sacramento River Cats	197	171	44	10	1	5	14	45	6	5	0	.257	.335	.415	.750	.158	.317	23	7	.327	108	+2	+1	—	—	+6	0.9
2024	26	AA	Richmond Flying Squirrels	96	83	32	12	1	2	10	12	1	6	1	.386	.457	.627	1.084	.241	.429	12	10	.461	211	+12	+1	—	—	+3	1.6
2024	26	ROK	ACL Giants	31	24	7	2	0	2	6	2	0	2	0	.292	.433	.625	1.058	.333	.238	6	19	.440	195	+3	+0	—	—	+1	0.5
2024	26	INTL	Aguilas Cibaenas	41	34	6	1	0	0	4	12	2	2	0	.176	.300	.206	.506	.029	.273	29	10	.246	46	-2	+0	—	—	+1	-0.1
2025	27	MLB	San Francisco Giants	191	174	46	9	0	3	9	45	3	4	1	.264	.312	.368	.680	.103	.336	24	5	.299	87	-3	+0	-0	+1	+5	0.3
2025	27	AAA	Sacramento River Cats	27	27	8	2	0	1	0	6	0	0	1	.296	.296	.481	.778	.185	.350	22	0	.340	118	+1	-0	—	—	+1	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			191	174	46	9	0	3	9	45	3	4	1	.264	.312	.368	.680	.103	.336	24	5	.299	87	-3	+0	-0	+1	+5	0.3

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
Christian Koss (OGILVIE)	28	55	45	60	35	.246/.297/.367	.121	.322	5	6	26%	5%	87	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jason Donald 2013 · MLB	28	51→55	42→45	50	44	.244/.305/.353	.108	.314	8	14	24%	6%	85	+0.7	.216/.263/.316	.100	.303	8	9	30%	5%	58	-1.2	.193/.231/.278	.084	.285	5	6	33%	4%	31	-1.3
✕Chris Owings 2019 · MLB	27	50→59	45→50	54→55	43	.245/.288/.374	.129	.299	11	19	22%	5%	84	+0.6	.222/.279/.365	.143	.303	16	15	31%	7%	79	+0.3	.185/.264/.309	.124	.264	15	11	34%	9%	55	-0.7
✕Tyler Greene 2012 · MLB	28	49→51	48→50	59→55	44	.239/.309/.382	.143	.320	15	26	29%	7%	95	+1.4	.231/.286/.369	.138	.322	14	19	31%	6%	82	+0.5	.224/.268/.346	.121	.323	11	13	33%	5%	64	-0.5
✕Mikie Mahtook 2018 · MLB	28	49→55	47→55	54→50	41	.243/.292/.388	.145	.308	14	11	26%	5%	89	+1.0	.225/.287/.396	.171	.283	21	12	28%	7%	90	+1.0	.205/.268/.385	.181	.251	25	12	29%	7%	77	+0.1
✕Phillip Ervin 2020 · MLB	28	49→52	48→50	52→55	45	.242/.305/.389	.147	.301	14	18	24%	7%	95	+1.4	.216/.293/.350	.134	.284	14	15	27%	9%	81	+0.4	.163/.242/.272	.109	.220	15	21	32%	9%	36	-1.2
✕Hernán Pérez 2019 · MLB	28	51→56	48→50	55	43	.257/.293/.398	.141	.298	16	23	20%	5%	92	+1.2	.241/.284/.388	.147	.295	18	16	24%	6%	86	+0.8	.238/.283/.362	.124	.301	16	24	26%	5%	76	+0.0
✕Scott Kingery 2022 · MLB	28	42→51	48→55	52→55	43	.214/.277/.362	.149	.292	15	13	31%	7%	77	+0.1	.202/.267/.327	.125	.300	13	21	35%	8%	63	-0.8	.201/.259/.337	.136	.285	17	26	34%	7%	59	-0.8
✕Luis Bolivar 2009 · AAA	28	49→54	43→45	56→55	40	.239/.283/.353	.114	.305	9	19	24%	4%	76	+0.1	.213/.254/.317	.104	.278	9	24	26%	4%	54	-1.4	.195/.232/.283	.088	.256	7	28	26%	3%	32	-1.9
✕Brian Bixler 2011 · MLB	28	51→57	41→45	55	38	.240/.290/.345	.106	.343	8	19	31%	5%	77	+0.1	.231/.287/.325	.094	.327	7	18	29%	6%	71	-0.3	.217/.277/.296	.079	.316	5	17	31%	7%	54	-0.8
✕Ed Lucas 2010 · AAA	28	50→56	43→45	52→50	47	.241/.303/.355	.114	.301	11	16	23%	8%	85	+0.7	.231/.290/.353	.122	.293	13	10	25%	7%	79	+0.3	.256/.307/.325	.069	.332	5	3	23%	6%	75	-0.0
✕Chris Nelson 2014 · MLB	28	52→58	46→50	48→50	42	.253/.296/.385	.132	.315	13	7	24%	6%	90	+1.0	.228/.278/.328	.100	.287	9	5	23%	6%	68	-0.5	.212/.263/.288	.077	.262	6	2	21%	6%	47	-0.9
✕Tim Lopes 2022 · MLB	28	44→54	45	52→55	44	.222/.279/.351	.129	.282	12	19	26%	6%	74	-0.1	.217/.280/.338	.121	.295	13	23	29%	7%	72	-0.2	.218/.288/.324	.106	.301	11	31	29%	8%	68	-0.4
✕Yairo Muñoz 2022 · MLB	27	54	43→50	55	41	.264/.293/.376	.112	.310	10	22	19%	4%	85	+0.7	.255/.287/.372	.117	.306	12	18	20%	4%	82	+0.5	.263/.287/.379	.116	.310	13	21	20%	3%	80	+0.2
✕Braden Bishop 2022 · MLB	28	47→57	47→50	51→50	43	.234/.291/.378	.144	.295	14	12	25%	6%	87	+0.8	.227/.281/.354	.127	.294	13	17	26%	6%	76	+0.0	.198/.252/.293	.095	.263	11	22	28%	6%	44	-1.0
✕Jonathan Davis 2019 · MLB	27	47→52	43→45	54→55	47	.228/.304/.346	.118	.294	10	20	25%	8%	84	+0.6	.219/.304/.340	.121	.287	11	19	26%	8%	83	+0.6	.221/.303/.332	.112	.308	10	22	29%	9%	76	+0.0
✕Tyler Saladino 2017 · MLB	28	51→46	44→45	56→55	44	.251/.296/.371	.119	.295	12	23	19%	5%	86	+0.8	.221/.284/.335	.114	.281	12	17	25%	7%	72	-0.2	.200/.273/.321	.121	.260	14	15	28%	8%	62	-0.5
✕Scott Heineman 2021 · MLB	28	49→55	47→45	48→50	43	.245/.302/.380	.135	.310	15	15	25%	6%	92	+1.2	.210/.270/.340	.130	.300	14	17	33%	6%	69	-0.4	.167/.232/.274	.107	.258	11	21	38%	6%	32	-0.5
✕Juan Lagares 2017 · MLB	28	55→64	42→45	51→50	43	.265/.307/.376	.111	.316	9	12	19%	5%	92	+1.2	.251/.301/.366	.115	.310	9	13	21%	6%	86	+0.8	.234/.279/.353	.119	.297	9	8	23%	5%	71	-0.1
●Moisés Sierra 2017 · MLB	28	54→56	42→50	49→50	43	.259/.308/.369	.110	.324	10	15	23%	6%	91	+1.1	.251/.309/.374	.123	.312	12	14	22%	6%	92	+1.2	.250/.316/.378	.129	.306	14	15	22%	7%	94	+1.0
✕Garrett Hampson 2023 · MLB	28	43→53	44→45	55→60	46	.215/.277/.330	.116	.278	11	21	26%	8%	68	-0.5	.236/.300/.330	.094	.316	6	18	25%	8%	77	+0.1	.253/.313/.333	.080	.340	3	18	24%	7%	81	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)