Tyler Nevin — OGILVIE

Tyler Nevin3B Oakland Athletics

Age 29 R/R 6'4" / 225 lbs MLB HR -6%K -4% Svc 5.000 · Ctrl thru 2026 peak 0.6 · 2026

wRC+†vL 9494vR 53

AVG/OBP/SLG.225 / .304 / .379

PA350

HR10

K%22

BB%9

xwOBA.304

Barrel%8.7%

MLB%100%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

45→45

EYE

51↗55

trajectory · 10 yrs

0.8peak

2026

Barrel%

538.7

xwOBA

460.304

Avg EV

6089.8

Whiff%

530.106

Chase%

610.296

Speed

2726.4

Bat Spd

2368.4

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	+0.6	$2M	+$0.0M (cut)
Totals		$2M		$2M	+$0.0M

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
2015	18	ROK	Grand Junction Rockies	223	200	39	11	1	1	18	60	3	3	7	.195	.271	.275	.546	.080	.270	27	8	.243	44	-14	-2	+0	+1	+6	-0.9
2017	20	A	Asheville Tourists	335	309	75	13	3	5	16	72	4	10	5	.243	.289	.353	.642	.110	.294	21	5	.281	73	-10	+0	+0	+1	+9	0.1
2018	21	A+	2 teams	488	455	117	22	1	8	26	129	3	5	5	.257	.302	.363	.664	.105	.339	26	5	.290	80	-11	-1	+0	+2	+14	0.4
2019	22	AA	Hartford Yard Goats	540	488	98	18	2	10	43	114	4	6	2	.201	.271	.307	.578	.107	.239	21	8	.257	55	-28	+0	+0	+2	+15	-1.0
2021	24	AAA	2 teams	471	429	84	17	0	14	32	116	5	1	1	.196	.260	.333	.593	.138	.230	25	7	.261	58	-22	-0	-2	-5	+13	-1.6
2022	25	AAA	3 teams	401	352	82	12	1	9	36	95	8	4	0	.233	.318	.349	.668	.116	.289	24	9	.295	84	-7	+1	-3	+1	+11	0.3
2023	26	AAA	2 teams	496	444	120	20	3	16	38	103	9	4	1	.270	.340	.437	.777	.167	.315	21	8	.337	116	+9	+0	-3	+2	+14	2.2
2024	27	MLB	2 teams	341	301	65	15	1	10	29	78	6	1	0	.216	.298	.372	.670	.156	.252	23	9	.297	86	-6	+0	-5	-6	+10	-0.7
▸ 2026 Season
2026	29	MLB	OAK	350	311	71	14	2	10	30	76	6	3	1	.228	.308	.383	.691	.154	.264	22	9	.308	94	-2	+0	-3	+1	+10	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB	OAK	380	338	76	15	2	11	33	84	6	2	1	.225	.305	.379	.684	.154	.263	22	9	.305	91	-4	+0	-5	+1	+11	0.3
2028	31	MLB	OAK	365	325	72	14	2	10	31	82	6	0	0	.222	.301	.369	.670	.148	.261	22	8	.301	89	-5	+0	-6	+1	+10	0.1
2029	32	MLB	OAK	346	308	66	13	1	9	29	79	6	0	0	.214	.294	.351	.645	.136	.259	23	8	.296	84	-6	+0	-6	+1	+10	-0.1
2030	33	MLB	OAK	316	281	59	11	1	8	27	75	5	0	0	.210	.291	.342	.632	.132	.257	24	9	.290	80	-7	+0	-7	+1	+9	-0.4
2031	34	MLB	OAK	272	243	50	9	1	7	23	67	4	0	0	.206	.285	.337	.623	.132	.254	25	8	.282	74	-8	+0	-7	+1	+8	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			5324	4784	1074	204	21	128	411	1230	75	39	23	.224	.296	.356	.652	.132	.272	23	8	.290	80	-121	-1	-48	+5	+151	-1.5
/ 162G	—			650	584	132	25	3	16	50	150	9	5	3	.226	.297	.361	.658	.135	.274	23	8	.290	80	-15	-0	-6	+1	+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
2015	18	ROK	Grand Junction Rockies	223	189	50	15	1	2	29	42	3	3	7	.265	.371	.386	.757	.122	.327	19	13	.343	120	+5	-2	—	—	+6	0.9
2017	20	A	Asheville Tourists	335	298	91	18	3	7	27	56	4	10	5	.305	.371	.456	.827	.151	.349	17	8	.362	135	+13	+0	—	—	+9	2.3
2018	21	A+	Lancaster JetHawks	417	378	124	25	1	13	34	77	3	4	3	.328	.388	.503	.891	.175	.383	18	8	.392	158	+28	-0	—	—	+12	4.0
2018	21	INTL	Salt River Rafters	71	54	23	3	3	0	15	5	0	1	2	.426	.551	.593	1.143	.167	.451	7	21	.487	230	+10	-1	—	—	+2	1.2
2019	22	AA	Hartford Yard Goats	540	466	117	26	2	13	65	90	4	6	2	.251	.348	.399	.747	.148	.283	17	12	.335	114	+9	+0	—	—	+15	2.5
2021	24	MLB	Baltimore Orioles	18	14	4	2	0	1	4	5	0	0	0	.286	.444	.643	1.087	.357	.375	28	22	.464	213	+2	+0	-2	-5	+1	-0.4
2021	24	AAA	Norfolk Tides	453	401	91	18	0	16	42	91	5	1	1	.227	.308	.392	.700	.165	.251	20	9	.311	96	-2	-0	—	—	+13	1.1
2022	25	MLB	Baltimore Orioles	184	157	31	4	0	2	20	46	4	0	0	.197	.304	.261	.565	.064	.259	25	11	.265	61	-8	+0	-3	+1	+5	-0.5
2022	25	AAA	Norfolk Tides	191	165	48	8	1	7	21	36	4	4	0	.291	.384	.479	.863	.188	.333	19	11	.382	151	+11	+1	—	—	+5	1.7
2022	25	INTL	Aguilas Cibaenas	26	22	4	0	1	0	3	6	0	0	0	.182	.280	.273	.553	.091	.235	23	12	.247	47	-2	+0	—	—	+1	-0.1
2023	26	MLB	Detroit Tigers	111	95	19	3	1	2	12	25	3	0	1	.200	.309	.316	.625	.116	.246	23	11	.288	79	-3	-0	-3	+2	+3	-0.1
2023	26	AAA	Toledo Mud Hens	385	337	110	22	3	15	38	65	6	4	0	.326	.404	.543	.947	.217	.364	17	10	.412	173	+32	+1	—	—	+11	4.5
2024	27	MLB	Oakland Athletics	278	245	50	10	0	7	25	64	5	1	0	.204	.291	.331	.622	.127	.243	23	9	.282	74	-8	+0	-5	-6	+8	-1.2
2024	27	AAA	Las Vegas Aviators	63	54	16	6	1	4	6	11	1	0	0	.296	.377	.667	1.044	.370	.293	17	10	.430	187	+6	+0	—	—	+2	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			591	511	104	19	1	12	61	140	12	1	1	.204	.303	.315	.618	.112	.251	24	10	.283	75	-17	-0	-14	-8	+17	-2.2

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
Tyler Nevin (OGILVIE)	29	40	50	45	55	.225/.304/.379	.154	.264	10	3	22%	9%	94	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael McKenry 2014 · MLB	29	45→46	50→55	44→40	48	.231/.299/.387	.156	.280	18	4	24%	8%	92	+1.2	.243/.325/.408	.165	.299	18	6	24%	10%	109	+2.4	.231/.329/.388	.157	.295	17	5	26%	12%	101	+0.7
✕David Bote 2022 · MLB	29	42→48	50→55	47→45	52	.217/.306/.373	.156	.261	18	6	24%	10%	92	+1.2	.224/.293/.375	.151	.287	16	8	27%	7%	87	+0.8	.227/.294/.384	.157	.293	17	8	27%	7%	87	+0.4
✕John Mayberry Jr. 2014 · MLB	30	47→48	52→55	46→50	47	.240/.297/.410	.170	.281	20	8	22%	7%	98	+1.6	.216/.285/.374	.158	.262	17	6	24%	8%	84	+0.6	.180/.259/.335	.155	.212	17	2	24%	9%	64	-0.2
✕Brandon Larson 2005 · MLB	29	42	48→50	46→45	52	.214/.302/.352	.138	.267	16	9	26%	10%	85	+0.7	.227/.286/.383	.156	.291	20	6	28%	7%	86	+0.8	.222/.268/.379	.157	.279	21	4	29%	5%	75	-0.0
✕Pedro Severino 2022 · MLB	29	49→50	48→50	47→45	49	.247/.313/.386	.139	.305	16	4	24%	8%	98	+1.6	.237/.295/.372	.135	.302	15	8	26%	7%	86	+0.8	.222/.275/.349	.128	.281	15	11	26%	6%	68	-0.2
✕Anthony Recker 2014 · MLB	30	43→48	51→50	43→45	47	.220/.295/.378	.157	.286	19	7	29%	9%	89	+0.9	.211/.280/.369	.158	.286	20	6	32%	8%	80	+0.4	.200/.280/.351	.151	.266	19	3	31%	9%	71	-0.1
✕Deibinson Romero 2016 · AAA	29	46	47→50	43→40	48	.232/.300/.373	.141	.278	14	4	22%	8%	89	+1.0	.227/.291/.353	.126	.263	14	5	19%	7%	80	+0.4	.219/.284/.318	.100	.248	12	1	17%	7%	68	-0.2
✕Dustin Garneau 2017 · MLB	29	40→38	49→50	45	45	.211/.268/.357	.146	.241	18	6	22%	6%	72	-0.2	.207/.272/.362	.155	.252	18	4	25%	7%	76	+0.0	.184/.263/.355	.171	.225	21	0	29%	7%	68	-0.2
✕Steve Holm 2009 · MLB	29	47	48→50	43→40	50	.237/.311/.381	.144	.279	16	4	21%	8%	96	+1.5	.217/.281/.326	.109	.267	9	4	22%	7%	69	-0.4	.192/.254/.284	.092	.242	7	1	23%	6%	46	-0.8
✕Jon Knott 2008 · MLB	29	41→40	54→55	45→40	46	.219/.286/.403	.184	.261	22	5	26%	8%	92	+1.2	.222/.287/.387	.165	.276	19	6	26%	7%	88	+0.9	.211/.274/.373	.163	.255	19	2	25%	7%	75	-0.0
✕Jason Vosler 2023 · MLB	29	41→44	52→55	49→40	45	.217/.282/.379	.162	.265	21	6	27%	7%	84	+0.6	.214/.274/.387	.173	.271	22	5	29%	7%	82	+0.5	.207/.268/.386	.179	.258	24	4	30%	7%	77	+0.1
✕Andrew Brown 2014 · MLB	29	45→46	54→55	45→40	44	.234/.297/.416	.182	.305	22	5	30%	8%	99	+1.7	.231/.295/.407	.176	.289	21	5	27%	8%	97	+1.5	.218/.287/.392	.174	.264	23	2	27%	8%	86	+0.6
✕Armando Alvarez 2023 · AAA	29	42→46	51→55	45→50	42	.221/.262/.378	.157	.261	19	7	24%	5%	74	-0.1	.239/.293/.404	.165	.285	20	10	23%	7%	95	+1.4	.240/.305/.397	.157	.290	20	9	24%	8%	94	+0.6
✕Jerry Sands 2017 · MLB	29	45→46	49→60	42→45	46	.230/.290/.376	.145	.278	18	3	24%	7%	85	+0.7	.240/.303/.403	.163	.301	18	6	25%	8%	98	+1.6	.244/.315/.430	.186	.306	19	5	26%	9%	107	+1.1
✕Joe Mather 2011 · MLB	29	42→45	48→60	48→50	45	.216/.274/.361	.145	.256	16	11	23%	7%	76	+0.0	.215/.266/.326	.111	.273	11	10	24%	6%	63	-0.9	.206/.260/.310	.104	.261	10	8	24%	7%	52	-0.7
✕Scott Moore 2013 · MLB	29	48→51	48→55	43→50	46	.241/.307/.389	.148	.295	16	6	24%	7%	96	+1.5	.212/.279/.347	.135	.275	14	3	27%	7%	75	-0.0	.183/.253/.301	.119	.242	13	1	29%	6%	49	-1.1
✕Eric Munson 2008 · MLB	30	44→43	52→60	43→40	49	.230/.294/.396	.166	.255	21	3	20%	8%	93	+1.3	.213/.289/.351	.138	.255	15	4	22%	9%	79	+0.3	.193/.280/.324	.131	.234	15	0	24%	9%	68	-0.2
✕Cheslor Cuthbert 2021 · MLB	28	46→54	49→50	45	44	.236/.289/.381	.145	.282	17	4	23%	6%	86	+0.8	.217/.286/.379	.162	.259	20	5	24%	8%	85	+0.7	.183/.263/.348	.164	.208	22	1	24%	8%	64	-0.4
✕Matt Downs 2013 · MLB	29	43→50	50	40→50	46	.225/.289/.379	.154	.257	19	7	21%	6%	86	+0.8	.205/.261/.330	.125	.246	14	6	23%	6%	62	-0.9	.166/.219/.255	.089	.203	9	0	23%	5%	24	-1.8
✕Wyatt Mathisen 2022 · MLB	28	38→48	51→50	47→40	45	.200/.300/.359	.160	.268	19	4	32%	9%	88	+0.9	.193/.275/.330	.137	.288	16	6	36%	8%	69	-0.4	.121/.210/.241	.121	.187	16	0	44%	9%	20	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)