Connor Joe — OGILVIE

Connor Joe1B Tacoma Rainiers

Age 33 R/R 5'11" / 205 lbs AAA HR +3% Svc 7.000 · Ctrl thru 2026

wRC+†vL 7885vR 77

AVG/OBP/SLG.221 / .313 / .359

PA352

HR7

K%22

BB%10

MLB%45%

Scouting · now → future

HIT

40→40

PWR

40→40

SPD

50→50

EYE

56↗60

trajectory · 10 yrs

-0.1peak

2026

Contract

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2026

First FA Year 2027

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$0.8M	—	—	—
Totals		$0.8M		$-2M	-$3M

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	22	A	West Virginia Power	357	310	64	10	1	1	30	44	8	0	4	.206	.293	.255	.548	.048	.234	12	8	.245	46	-22	-2	+0	-6	+10	-2.0
2016	23	A+	2 teams	505	458	106	25	3	4	38	136	4	5	4	.231	.296	.325	.621	.094	.316	27	8	.274	68	-18	-1	+0	-9	+14	-1.4
2017	24	AA	Mississippi Braves	343	309	60	12	3	5	25	78	4	2	5	.194	.263	.301	.564	.107	.240	23	7	.251	50	-19	-2	+0	-6	+10	-1.8
2018	25	AA	2 teams	436	384	93	21	3	13	41	118	8	3	2	.242	.328	.414	.742	.172	.314	27	9	.321	104	+2	-0	+0	-8	+12	0.6
2019	26	AAA	2 teams	462	396	88	20	1	11	52	108	10	1	2	.222	.328	.361	.689	.139	.274	23	11	.308	94	-3	-1	+0	-5	+13	0.4
2021	28	MLB	2 teams	321	276	71	14	0	13	36	70	4	1	0	.257	.351	.449	.801	.192	.293	22	11	.352	128	+10	+0	-1	-3	+9	1.5
2022	29	MLB	Colorado Rockies	467	404	90	19	4	5	55	97	7	6	2	.223	.326	.327	.653	.104	.281	21	12	.293	83	-9	+0	-4	-5	+13	-0.5
2023	30	MLB	Pittsburgh Pirates	472	413	101	29	4	12	50	110	8	3	5	.245	.338	.421	.759	.177	.305	23	11	.336	115	+8	-1	-1	-5	+13	1.5
2024	31	MLB	Pittsburgh Pirates	416	364	80	19	1	9	44	91	6	2	2	.220	.314	.352	.666	.132	.267	22	11	.299	87	-6	-0	-3	-7	+12	-0.5
2025	32	AAA	2 teams	285	252	48	12	2	0	27	64	4	7	5	.190	.279	.254	.533	.063	.253	22	9	.247	47	-17	-1	-3	-3	+8	-1.6
▸ 2026 Season (actual · ROS · total)
2026	33	AAA	Tacoma Rainiers	39	35	7	3	0	1	2	13	0	0	0	.200	.243	.371	.615	.171	.261	33	5	.255	53	-2	+0	-1	-1	+1	-0.2
ROS	33	MLB	SEA	313	275	61	16	2	7	31	72	4	3	1	.222	.310	.371	.681	.149	.271	23	10	.301	88	-4	+0	-2	-6	+9	-0.2
TOT	33	MLB	SEA	352	310	68	19	2	8	33	85	4	3	1	.219	.303	.371	.674	.152	.271	24	9	.296	85	-6	+0	-2	-6	+10	-0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB 54%	SEA	308	270	59	16	2	6	31	65	4	3	1	.219	.308	.359	.667	.141	.260	21	10	.298	86	-5	+0	-7	-6	+9	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			4685	4111	921	213	26	86	460	1053	71	36	33	.224	.313	.351	.664	.127	.278	22	10	.295	84	-84	-6	-20	-69	+133	-4.7
/ 162G	—			650	570	129	30	4	12	64	146	10	5	5	.226	.315	.356	.671	.130	.281	22	10	.295	84	-12	-1	-3	-10	+18	-0.7

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	22	A	West Virginia Power	357	290	71	12	1	1	50	34	8	0	4	.245	.371	.303	.674	.059	.270	10	14	.312	97	-1	-2	—	—	+10	0.7
2016	23	A+	Bradenton Marauders	443	390	108	26	2	5	45	84	2	2	4	.277	.354	.392	.746	.115	.337	19	10	.334	113	+7	-1	—	—	+13	1.8
2016	23	INTL	Surprise Saguaros	62	49	10	1	0	2	11	11	2	3	0	.204	.371	.347	.718	.143	.222	18	18	.338	116	+1	+1	—	—	+2	0.4
2017	24	AA	Mississippi Braves	343	294	65	12	4	5	40	58	4	2	5	.221	.322	.340	.663	.119	.256	17	12	.300	88	-5	-2	—	—	+10	0.3
2018	25	AAA	Oklahoma City Dodgers	188	160	47	10	2	6	22	31	3	2	0	.294	.389	.494	.883	.200	.328	16	12	.385	153	+11	+0	—	—	+5	1.7
2018	25	AA	Tulsa Drillers	248	204	62	16	1	11	38	57	5	1	2	.304	.423	.554	.977	.250	.375	23	15	.427	185	+24	-1	—	—	+7	3.1
2019	26	MLB	San Francisco Giants	16	15	1	0	0	0	1	5	0	0	0	.067	.125	.067	.192	.000	.100	31	6	.100	-65	-3	+0	+0	-5	+0	-0.8
2019	26	AAA	Oklahoma City Dodgers	446	360	108	26	1	15	72	81	10	1	2	.300	.430	.503	.933	.203	.347	18	16	.411	173	+37	-1	—	—	+13	5.0
2021	28	MLB	Colorado Rockies	211	179	51	9	0	8	26	41	3	0	0	.285	.385	.469	.854	.184	.323	19	12	.376	146	+11	+0	-1	-3	+6	1.3
2021	28	AAA	Albuquerque Isotopes	110	92	30	7	0	9	15	22	1	1	0	.326	.426	.696	1.122	.370	.333	20	14	.469	217	+15	+0	—	—	+3	1.8
2022	29	MLB	Colorado Rockies	467	404	96	20	4	7	55	97	7	6	2	.238	.339	.359	.698	.121	.296	21	12	.319	102	+1	+0	-4	-5	+13	0.6
2023	30	MLB	Pittsburgh Pirates	472	413	102	31	4	11	50	110	8	3	5	.247	.340	.421	.761	.174	.311	23	11	.340	119	+10	-1	-1	-5	+13	1.6
2024	31	MLB	Pittsburgh Pirates	416	364	83	22	1	9	44	91	6	2	2	.228	.321	.368	.689	.140	.278	22	11	.312	97	-1	-0	-3	-7	+12	-0.0
2025	32	MLB	Cincinnati Reds	80	70	13	4	0	0	7	20	1	2	2	.186	.269	.243	.512	.057	.250	25	9	.236	39	-6	-0	-3	-3	+2	-1.0
2025	32	AAA	Louisville Bats	205	173	39	10	2	0	29	36	3	5	3	.225	.346	.306	.653	.081	.285	18	14	.307	93	-2	-0	—	—	+6	0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1662	1445	346	86	9	35	183	364	25	13	11	.239	.335	.384	.719	.145	.295	22	11	.325	107	+12	-2	-11	-29	+47	1.8

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
Connor Joe (OGILVIE)	33	40	40	50	60	.221/.313/.359	.138	.272	7	4	22%	10%	92	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chad Huffman 2018 · MLB	33	45→50	49→50	48→45	48	.227/.308/.382	.155	.275	15	8	23%	8%	96	+1.5	.229/.301/.381	.152	.291	17	6	26%	7%	92	+1.2	.225/.298/.382	.157	.288	19	0	28%	7%	87	+0.5
✕Preston Tucker 2023 · AAA	33	47→45	47→55	48→40	46	.236/.295/.373	.137	.274	15	6	20%	6%	88	+0.9	.241/.323/.403	.162	.292	18	6	23%	9%	107	+2.2	.238/.350/.432	.194	.288	21	2	23%	13%	122	+1.3
✕Lew Ford 2010 · MLB	33	45→55	46→50	49→50	49	.225/.293/.355	.130	.273	13	10	22%	8%	82	+0.5	.245/.307/.404	.159	.268	16	13	15%	7%	100	+1.7	.267/.316/.436	.170	.292	19	8	16%	6%	109	+0.8
✕Matt Szczur 2021 · MLB	32	46→56	48→45	45→55	47	.233/.293/.377	.144	.283	15	9	23%	8%	87	+0.8	.216/.263/.373	.157	.279	19	8	29%	6%	74	-0.1	.151/.186/.307	.156	.178	23	0	32%	4%	21	-0.7
✕Ildelfonso Lara 2009 · AAA	34	51→54	44→45	50→45	47	.247/.304/.367	.120	.303	11	6	22%	7%	89	+0.9	.240/.298/.362	.122	.307	13	8	25%	7%	85	+0.7	.245/.305/.355	.110	.316	13	5	25%	7%	84	+0.3
✕Jeff Bailey 2011 · MLB	32	47→49	49→55	49→45	49	.234/.312/.383	.149	.283	16	5	23%	8%	98	+1.6	.218/.292/.349	.131	.276	13	7	25%	8%	80	+0.4	.202/.281/.335	.132	.256	13	7	25%	8%	69	-0.3
✕Shawn Wooten 2005 · MLB	33	49→45	45→50	39→30	50	.241/.300/.363	.122	.270	13	5	17%	7%	86	+0.8	.225/.275/.341	.116	.262	14	3	19%	5%	70	-0.3	.218/.265/.316	.098	.257	11	0	20%	4%	58	-0.7
✕Matt McBride 2018 · MLB	33	43→51	47→55	45→40	44	.216/.266/.359	.143	.250	15	5	20%	5%	71	-0.3	.212/.266/.384	.172	.248	21	4	24%	6%	79	+0.3	.193/.249/.384	.191	.213	26	0	25%	6%	69	-0.1
✕Mark Little 2005 · MLB	33	48	42→55	48→55	48	.228/.320/.340	.111	.293	9	10	23%	8%	90	+1.0	.232/.313/.381	.149	.310	16	16	29%	7%	98	+1.6	.224/.312/.363	.139	.309	14	18	30%	6%	90	+0.6
✕Issmael Salas 2015 · AAA	33	49→51	44→50	49→50	44	.242/.287/.358	.116	.277	12	6	18%	5%	79	+0.3	.247/.291/.363	.116	.279	12	7	16%	5%	82	+0.5	.253/.300/.375	.122	.278	13	5	14%	5%	89	+0.6
✕Michael A. Taylor 2023 · MLB	32	48→51	46→55	46→60	45	.240/.298/.361	.121	.304	15	10	26%	7%	85	+0.7	.224/.283/.382	.158	.299	20	16	31%	7%	85	+0.7	.205/.265/.377	.173	.279	22	20	34%	7%	74	-0.1
✕Juan Lagares 2021 · MLB	32	49→59	44→45	50	47	.239/.302/.359	.120	.303	11	11	24%	8%	86	+0.8	.227/.269/.354	.127	.284	11	6	23%	5%	70	-0.3	.229/.259/.363	.134	.284	11	2	23%	4%	67	-0.3
✕Webster Rivas 2022 · MLB	31	44	44→40	47→40	47	.218/.282/.329	.111	.277	12	4	25%	8%	70	-0.3	.220/.299/.314	.094	.299	7	5	26%	10%	73	-0.1	.212/.308/.279	.067	.299	2	2	26%	12%	66	-0.3
✕Roberto Lopez 2019 · AAA	33	48	50	45	44	.246/.292/.392	.145	.287	19	9	22%	6%	91	+1.1	.234/.282/.355	.121	.276	16	8	21%	6%	77	+0.1	.227/.277/.326	.099	.263	15	4	20%	5%	64	-0.4
✕Taylor Davis 2022 · MLB	32	45→53	41→45	47→40	50	.221/.282/.312	.091	.257	10	5	18%	8%	66	-0.6	.230/.286/.313	.083	.279	7	7	19%	7%	67	-0.5	.243/.303/.272	.029	.301	0	0	18%	7%	63	-0.2
✕Russ Johnson 2006 · MLB	33	48→47	47→50	43→45	49	.240/.302/.385	.145	.280	14	9	20%	8%	93	+1.3	.236/.302/.373	.137	.258	15	6	15%	8%	90	+1.0	.231/.301/.360	.129	.245	14	4	13%	9%	84	+0.5
●Reynaldo Rodriguez 2019 · AAA	33	42→47	44→60	50	45	.212/.272/.325	.113	.277	13	15	28%	7%	65	-0.7	.286/.327/.550	.264	.312	39	13	22%	5%	148	+5.1	.323/.359/.656	.332	.335	52	11	20%	5%	192	+3.6
✕Cole Gillespie 2017 · MLB	33	51→57	41→50	51→50	49	.244/.299/.348	.104	.289	7	11	18%	7%	81	+0.4	.232/.284/.332	.100	.292	7	11	22%	7%	71	-0.3	.242/.292/.326	.084	.309	5	11	22%	6%	72	-0.1
✕Jose Munoz 2012 · AAA	33	49	43→45	47→50	55	.234/.312/.352	.117	.277	9	9	19%	10%	89	+0.9	.212/.287/.314	.102	.274	10	8	25%	9%	69	-0.4	.197/.277/.285	.088	.255	9	5	25%	9%	54	-0.6
✕Don Kelly 2013 · MLB	33	45→55	45	50→55	49	.224/.280/.337	.114	.247	14	10	16%	7%	71	-0.3	.224/.304/.328	.104	.252	11	11	15%	10%	79	+0.3	.202/.283/.275	.073	.235	6	8	16%	9%	51	-0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)