Stuart Fairchild

Stuart FairchildRF Columbus Clippers

Age 30 R/R 5'11" / 205 lbs AAA K +5%HR +5% Svc 5.000 · Ctrl thru 2026 peak 1.1 · 2026

wRC+†vL 146115vR 49

AVG/OBP/SLG.217 / .299 / .371

PA198

HR6

SB8

K%26

BB%8

MLB%10%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

60→60

EYE

48↗55

trajectory · 10 yrs

0.5peak

2027

Contract

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

Status Arb-3

MLB Debut 2021

Service 5.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$2M	+1.1	$9M	+$7M
Totals		$2M		$9M	+$7M

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
2017	21	ROK	Billings Mustangs	234	211	49	4	3	2	12	50	11	12	4	.232	.308	.308	.616	.076	.296	21	5	.268	63	-10	+1	+0	+1	+7	-0.1
2018	22	A	2 teams	518	470	96	20	5	6	33	170	10	23	6	.204	.271	.306	.577	.102	.301	33	6	.257	55	-26	+2	+0	+2	+15	-0.8
2019	23	A+	3 teams	497	448	94	25	2	10	34	127	12	7	7	.210	.283	.342	.625	.132	.268	26	7	.278	71	-16	-1	+0	+2	+14	-0.2
2021	25	AAA	2 teams	199	177	39	6	3	7	17	54	3	7	1	.220	.299	.407	.706	.186	.271	27	9	.304	91	-2	+1	+0	+1	+6	0.5
2022	26	AAA	2 teams	331	294	64	11	2	12	21	108	14	7	4	.218	.301	.391	.692	.173	.295	33	6	.306	93	-3	-0	+1	-4	+9	0.4
2023	27	MLB	2 teams	369	316	74	18	3	8	33	101	12	13	4	.234	.330	.386	.716	.152	.314	27	9	.304	91	-4	+1	+2	-4	+10	0.6
2024	28	MLB	Cincinnati Reds	233	209	44	8	0	7	17	60	4	13	1	.211	.283	.349	.632	.139	.259	26	7	.277	70	-8	+2	+1	+1	+7	0.3
2025	29	MLB	Atlanta Braves	55	51	11	4	1	0	4	15	0	2	1	.216	.273	.333	.606	.118	.306	27	7	.275	68	-2	+0	+1	-1	+2	-0.0
▸ 2026 Season (actual · ROS · total)
2026	30	AAA	Columbus Clippers	92	78	22	4	1	3	8	22	5	4	0	.282	.385	.474	.859	.192	.352	24	9	.359	133	+3	+1	+0	+0	+3	0.7
ROS	30	MLB	CLE	106	93	21	4	1	3	9	27	3	4	1	.226	.314	.387	.701	.161	.287	25	8	.316	100	+0	+0	+0	+0	+3	0.4
TOT	30	MLB	CLE	198	171	43	8	2	6	17	49	8	8	1	.251	.347	.427	.774	.175	.314	25	9	.336	115	+3	+1	+0	+1	+6	1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 20%	CLE	183	159	37	8	1	5	17	40	5	7	1	.233	.326	.390	.716	.157	.275	22	9	.322	105	+1	+1	-3	+1	+5	0.5
2028	32	MLB 33%	CLE	164	144	34	7	1	5	15	36	4	5	1	.236	.325	.403	.728	.167	.273	22	9	.317	101	+0	+1	-3	+1	+5	0.3
2029	33	MLB 43%	CLE	134	117	27	5	1	4	12	31	4	4	0	.231	.323	.393	.716	.162	.271	23	9	.311	97	-1	+1	-4	+0	+4	0.0
2030	34	MLB 52%	CLE	94	83	19	4	1	2	9	22	2	2	0	.229	.319	.373	.693	.145	.269	23	10	.305	91	-1	+0	-5	+0	+3	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			3117	2772	609	124	24	71	233	841	84	106	31	.220	.300	.359	.658	.139	.286	27	7	.290	80	-71	+9	-10	+0	+88	1.6
/ 162G	—			650	578	127	26	5	15	49	175	18	22	6	.220	.301	.360	.661	.140	.286	27	8	.290	80	-15	+2	-2	+0	+18	0.4

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
2017	21	ROK	Billings Mustangs	234	204	62	5	4	3	19	35	11	12	4	.304	.393	.412	.805	.108	.355	15	8	.366	138	+10	+1	—	—	+7	1.8
2018	22	A+	Daytona Tortugas	242	220	55	14	1	2	17	63	2	6	2	.250	.310	.350	.660	.100	.335	26	7	.295	84	-4	+0	—	—	+7	0.3
2018	22	A	Dayton Dragons	276	235	65	12	5	7	31	65	8	17	4	.277	.380	.460	.839	.183	.352	24	11	.372	143	+13	+2	—	—	+8	2.3
2019	23	AA	Chattanooga Lookouts	179	153	42	12	1	4	19	23	7	3	2	.275	.380	.444	.824	.170	.302	13	11	.371	142	+8	-0	—	—	+5	1.4
2019	23	A+	Daytona Tortugas	281	248	64	17	2	8	25	60	5	3	5	.258	.338	.440	.778	.181	.306	21	9	.343	120	+6	-1	—	—	+8	1.3
2019	23	INTL	Glendale Desert Dogs	37	34	12	4	0	0	3	9	0	1	0	.353	.405	.471	.876	.118	.480	24	8	.391	157	+2	+0	—	—	+1	0.4
2021	25	MLB	Arizona Diamondbacks	17	15	2	1	0	0	1	3	1	0	0	.133	.235	.200	.435	.067	.167	18	6	.213	21	-2	+0	+0	+1	+0	-0.0
2021	25	AAA	Reno Aces	182	156	46	7	4	9	22	39	2	7	1	.295	.389	.564	.953	.269	.336	21	12	.409	171	+15	+1	—	—	+5	2.1
2022	26	MLB	Cincinnati Reds	110	97	24	4	1	5	8	34	5	0	2	.247	.336	.464	.800	.216	.328	31	7	.355	130	+4	-1	+1	-4	+3	0.3
2022	26	AAA	Louisville Bats	221	190	49	9	1	11	20	60	9	7	2	.258	.356	.489	.846	.232	.314	27	9	.371	142	+10	+1	—	—	+6	1.8
2023	27	MLB	Cincinnati Reds	255	219	50	16	2	5	25	69	6	10	3	.228	.324	.388	.712	.160	.306	27	10	.316	100	-0	+1	+2	-4	+7	0.6
2023	27	AAA	Louisville Bats	114	94	26	2	1	4	11	27	6	3	1	.277	.387	.447	.834	.170	.344	24	10	.367	139	+5	+0	—	—	+3	0.9
2024	28	MLB	Cincinnati Reds	233	209	45	8	0	8	17	60	4	13	1	.215	.287	.368	.655	.153	.261	26	7	.292	81	-5	+2	+1	+1	+7	0.6
2025	29	MLB	Atlanta Braves	55	51	11	4	1	0	4	15	0	2	1	.216	.273	.333	.606	.118	.306	27	7	.272	67	-2	+0	+1	-1	+2	-0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			670	591	132	33	4	18	55	181	16	25	7	.223	.307	.384	.691	.161	.289	27	8	.308	94	-5	+2	+5	-7	+19	1.5

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
Stuart Fairchild (OGILVIE)	30	40	50	60	55	.217/.299/.371	.154	.273	6	8	26%	8%	90	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tim Locastro 2022 · MLB	30	47→52	45	56→60	46	.231/.321/.355	.124	.275	11	25	20%	6%	95	+1.4	.213/.294/.340	.127	.263	12	24	23%	5%	80	+0.4	.211/.301/.325	.114	.266	11	36	23%	5%	76	+0.0
✕Michael A. Taylor 2021 · MLB	30	44→51	49→55	53→60	42	.219/.276/.370	.151	.301	15	22	32%	7%	78	+0.2	.235/.292/.372	.137	.306	17	13	28%	7%	85	+0.7	.236/.294/.379	.143	.303	19	14	28%	7%	86	+0.6
✕Eli White 2023 · MLB	29	43→50	47→50	53→60	46	.217/.291/.346	.129	.296	15	22	31%	9%	79	+0.3	.232/.302/.374	.142	.316	17	28	30%	8%	91	+1.1	.234/.299/.378	.144	.310	18	31	29%	7%	87	+0.4
✕George Lombard 2007 · MLB	31	45→44	50	58→55	43	.227/.298/.386	.160	.309	18	24	31%	8%	92	+1.2	.227/.292/.366	.139	.321	15	23	32%	8%	84	+0.6	.220/.287/.329	.109	.314	12	32	32%	8%	69	-0.1
✕Matt Carson 2011 · MLB	30	44→50	54→60	54→50	40	.233/.279/.412	.179	.277	22	17	25%	5%	91	+1.1	.237/.284/.406	.169	.296	20	13	26%	5%	92	+1.2	.235/.282/.385	.151	.300	17	11	27%	5%	81	+0.4
✕B.J. Upton 2015 · MLB	30	42→52	48→60	53→60	47	.214/.286/.357	.143	.285	16	21	30%	9%	79	+0.3	.226/.291/.370	.144	.302	16	22	29%	8%	85	+0.7	.234/.293/.391	.156	.303	19	29	28%	7%	85	+0.5
✕Sam Haggerty 2023 · MLB	29	48→43	48→50	61→65	46	.239/.309/.386	.147	.307	15	32	26%	8%	96	+1.5	.248/.324/.382	.134	.313	12	36	23%	9%	102	+1.8	.258/.338/.390	.132	.319	9	43	21%	10%	106	+1.1
✕Dylan Moore 2022 · MLB	29	40→48	53→50	54→65	49	.213/.304/.387	.174	.271	21	28	29%	10%	95	+1.4	.217/.326/.388	.171	.291	18	33	30%	11%	105	+2.1	.207/.329/.377	.170	.285	16	41	30%	12%	100	+0.9
✕Tyler Greene 2014 · MLB	30	46→51	48→50	56→55	41	.229/.286/.372	.143	.313	15	22	31%	6%	83	+0.6	.228/.273/.343	.115	.336	11	11	34%	5%	69	-0.4	.232/.275/.336	.104	.353	9	7	35%	4%	66	-0.6
●Harrison Bader 2023 · MLB	29	50→55	51→55	54→55	46	.254/.312/.415	.161	.300	18	20	22%	6%	105	+2.1	.240/.292/.372	.132	.286	15	23	21%	6%	85	+0.7	.240/.297/.372	.133	.292	15	22	23%	6%	85	+0.5
✕Jason Repko 2011 · MLB	30	46→48	46→50	53→55	44	.229/.291/.358	.129	.286	14	20	25%	6%	82	+0.5	.220/.277/.343	.123	.281	14	18	26%	6%	72	-0.2	.198/.255/.311	.113	.257	13	18	27%	6%	51	-0.6
✕Jonathan Davis 2022 · MLB	30	41→51	45	52→55	47	.202/.302/.325	.123	.271	12	19	28%	9%	79	+0.3	.222/.307/.336	.114	.302	10	22	28%	9%	83	+0.6	.221/.303/.332	.112	.308	10	22	29%	9%	76	+0.0
✕Justin Maxwell 2014 · MLB	30	44→45	56→60	52→60	44	.229/.300/.425	.196	.309	23	15	33%	8%	103	+1.9	.213/.278/.349	.136	.307	15	9	34%	7%	74	-0.1	.196/.261/.303	.107	.284	13	6	34%	6%	51	-0.7
✕Niko Goodrum 2022 · MLB	30	44→52	48→55	53→55	46	.218/.293/.364	.145	.304	16	19	32%	9%	84	+0.6	.225/.315/.357	.132	.323	14	16	31%	11%	92	+1.2	.234/.334/.361	.127	.331	13	14	30%	13%	97	+0.6
●Will Venable 2013 · MLB	30	50→56	49→55	63→60	49	.248/.318/.408	.160	.305	15	31	24%	9%	105	+2.1	.247/.306/.401	.154	.302	16	23	23%	7%	98	+1.6	.241/.301/.379	.138	.298	15	22	24%	7%	84	+0.5
✕Mario Lisson 2013 · AA	29	45→49	50→55	54→55	44	.229/.292/.386	.157	.295	17	19	28%	7%	89	+1.0	.231/.295/.384	.153	.291	18	12	26%	7%	91	+1.1	.233/.305/.376	.142	.304	18	8	28%	8%	91	+0.8
●Dairon Blanco 2022 · AAA	29	44→52	45→50	58→70	39	.218/.272/.345	.127	.297	13	32	30%	6%	70	-0.3	.254/.312/.391	.137	.329	15	59	26%	6%	98	+1.6	.268/.330/.405	.137	.349	14	90	26%	6%	107	+1.1
✕Dewayne Wise 2009 · MLB	31	48→40	52→60	59→55	42	.246/.291/.425	.180	.289	18	23	22%	5%	99	+1.7	.241/.281/.401	.160	.291	15	20	22%	4%	89	+0.9	.241/.277/.398	.157	.296	15	27	24%	4%	82	+0.2
✕Chris Heisey 2015 · MLB	30	47→52	48→55	52→55	42	.235/.282/.381	.146	.278	15	12	22%	5%	83	+0.6	.210/.286/.388	.178	.252	23	7	26%	9%	88	+0.9	.187/.283/.382	.195	.212	29	3	28%	10%	81	+0.2
✕Jeremy Hazelbaker 2018 · MLB	30	49→54	50→55	61→60	42	.240/.299/.407	.168	.334	16	19	32%	8%	97	+1.5	.205/.269/.355	.150	.321	16	18	38%	7%	72	-0.2	.162/.233/.306	.144	.260	16	20	42%	7%	40	-1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)