Ernie Clement — OGILVIE

Ernie Clement3B Toronto Blue Jays

Age 30 R/R 6'0" / 170 lbs MLB HR +12%BB +4% Svc 3.977 · Ctrl thru 2028 peak 2.1 · 2026

wRC+†vL 120100vR 88

AVG/OBP/SLG.266 / .301 / .394

PA508

HR10

SB8

K%10

BB%4

xwOBA.287

Barrel%0.0%

MLB%100%

Scouting · now → future

HIT

55→55

PWR

35→35

SPD

60→60

EYE

34↘30

trajectory · 10 yrs

1.3peak

2026

Contract

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

Status Arb-1

MLB Debut 2021

Service 3.977 yrs.days

Team Control Through 2028

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$5M	+2.1	$17M	+$12M
2027	Arb-2	$6M	+1.7	$14M	+$8M
2028	Arb-3	$7M	+1.3	$11M	+$4M
Totals		$17M		$42M	+$25M

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
2018	22	A	3 teams	471	433	117	22	2	2	27	46	5	18	10	.270	.320	.344	.665	.074	.297	10	6	.292	81	-10	-0	+0	+2	+13	0.5
2019	23	AA	2 teams	511	471	113	16	4	1	21	49	8	17	11	.240	.284	.297	.581	.057	.262	10	4	.255	53	-27	-1	+0	+2	+14	-1.2
2021	25	AAA	2 teams	271	248	58	15	1	4	13	45	2	2	2	.234	.278	.351	.628	.117	.267	17	5	.271	65	-11	-0	+3	+1	+8	0.1
2022	26	MLB	2 teams	266	245	48	5	1	3	15	35	2	0	1	.196	.248	.261	.509	.065	.216	13	6	.233	37	-19	-0	+1	+1	+8	-1.0
2023	27	AAA	2 teams	372	345	109	18	2	12	19	24	1	13	2	.316	.353	.484	.837	.168	.310	6	5	.354	129	+12	+2	+1	+4	+11	3.0
2024	28	MLB	Toronto Blue Jays	452	434	113	22	3	12	11	41	3	12	3	.260	.283	.408	.691	.147	.264	9	2	.296	85	-8	+1	+7	+2	+13	1.5
2025	29	MLB	Toronto Blue Jays	588	545	153	36	2	8	27	61	4	6	5	.281	.319	.398	.718	.117	.301	10	5	.309	95	-3	-1	+11	+2	+17	2.6
▸ 2026 Season (actual · ROS · total)
2026	30	MLB	Toronto Blue Jays	101	100	32	10	0	0	1	7	0	1	0	.320	.327	.420	.747	.100	.344	7	1	.328	109	+1	+0	-0	+0	+3	0.4
ROS	30	MLB	TOR	407	388	108	24	2	7	14	39	2	7	1	.278	.307	.405	.712	.126	.294	10	3	.313	98	-1	+1	+4	+1	+12	1.7
TOT	30	MLB	TOR	508	488	140	34	2	7	15	46	2	8	1	.287	.311	.408	.719	.121	.304	9	3	.316	100	+0	+1	+4	+2	+14	2.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB	TOR	493	471	130	29	2	8	17	42	2	6	1	.276	.304	.397	.701	.121	.288	9	3	.309	95	-3	+1	+2	+2	+14	1.6
2028	32	MLB	TOR	474	453	123	27	2	7	16	43	2	4	0	.272	.299	.386	.686	.115	.286	9	3	.304	91	-5	+1	+1	+2	+13	1.2
2029	33	MLB	TOR	444	424	114	25	2	6	15	43	2	2	0	.269	.297	.380	.677	.111	.284	10	3	.298	86	-7	+0	+0	+2	+13	0.8
2030	34	MLB	TOR	398	380	100	21	2	5	13	42	2	1	0	.263	.291	.368	.660	.105	.282	11	3	.290	80	-9	+0	-1	+1	+11	0.3
2031	35	MLB	TOR	344	329	84	18	1	4	11	40	1	0	0	.255	.282	.353	.634	.097	.280	12	3	.282	74	-10	+0	-2	+1	+10	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			5491	5166	1370	278	26	79	219	550	36	88	36	.265	.300	.375	.675	.110	.282	10	4	.295	84	-100	+3	+27	+22	+156	11.0
/ 162G	—			650	612	162	33	3	9	26	65	4	10	4	.265	.299	.373	.672	.108	.282	10	4	.295	84	-12	+0	+3	+3	+18	1.3

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
2018	22	AA	Akron RubberDucks	68	65	16	5	1	0	3	7	0	2	1	.246	.279	.354	.633	.108	.276	10	4	.282	74	-2	+0	—	—	+2	-0.0
2018	22	A+	Lynchburg Hillcats	156	133	46	7	0	1	15	7	4	5	3	.346	.428	.421	.849	.075	.357	4	10	.377	147	+8	-0	—	—	+4	1.3
2018	22	A	Lake County Captains	247	221	59	14	1	1	23	21	1	11	6	.267	.339	.353	.692	.086	.290	9	9	.313	98	-1	-0	—	—	+7	0.6
2019	23	AA	Akron RubberDucks	437	394	103	15	3	1	26	33	7	16	10	.261	.319	.322	.641	.061	.279	8	6	.287	78	-11	-1	—	—	+12	0.1
2019	23	INTL	Mesa Solar Sox	74	66	20	2	1	0	6	13	1	1	1	.303	.370	.364	.733	.061	.370	18	8	.331	111	+1	-0	—	—	+2	0.3
2021	25	MLB	Cleveland Indians	133	121	28	4	0	3	7	19	2	0	1	.231	.285	.339	.623	.107	.253	14	5	.276	70	-5	-0	+3	+1	+4	0.3
2021	25	AAA	Columbus Clippers	138	124	31	12	1	1	9	22	0	2	1	.250	.301	.387	.688	.137	.288	16	7	.295	84	-2	+0	—	—	+4	0.1
2022	26	MLB	Oakland Athletics	179	163	30	4	0	0	11	26	2	0	1	.184	.244	.209	.453	.025	.217	15	6	.211	20	-16	-0	+1	+1	+5	-1.0
2022	26	AAA	Columbus Clippers	87	80	19	2	1	4	6	8	0	0	0	.237	.291	.438	.728	.200	.221	9	7	.317	101	+0	+0	—	—	+2	0.3
2023	27	MLB	Toronto Blue Jays	52	50	19	1	1	1	1	4	0	1	0	.380	.392	.500	.892	.120	.391	8	2	.388	155	+3	+0	+1	+4	+1	1.0
2023	27	AAA	Buffalo Bisons	320	287	100	21	1	11	26	16	1	12	2	.348	.404	.544	.948	.195	.338	5	8	.409	171	+26	+2	—	—	+9	3.7
2024	28	MLB	Toronto Blue Jays	452	434	114	21	3	12	11	41	3	12	3	.263	.286	.408	.694	.145	.266	9	2	.304	91	-5	+1	+7	+2	+13	1.8
2025	29	MLB	Toronto Blue Jays	588	545	151	35	2	9	27	61	4	6	5	.277	.316	.398	.714	.121	.296	10	5	.312	97	-2	-1	+11	+2	+17	2.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1404	1313	342	65	6	25	57	151	11	19	10	.260	.297	.376	.673	.116	.277	11	4	.296	85	-24	-0	+23	+10	+40	4.9

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
Ernie Clement (OGILVIE)	30	55	35	60	30	.277/.305/.399	.122	.289	8	9	8%	3%	98	+1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Cairo 2005 · MLB	31	53→58	44→45	52→55	47	.257/.313/.380	.123	.281	10	12	13%	5%	96	+1.5	.246/.298/.341	.095	.272	6	20	11%	6%	79	+0.3	.260/.310/.370	.111	.287	11	10	14%	5%	89	+0.5
✕Kevin Frandsen 2012 · MLB	30	52→62	41→45	49→50	45	.245/.297/.346	.101	.263	8	10	11%	4%	81	+0.4	.263/.306/.357	.094	.287	6	6	10%	3%	87	+0.8	.268/.309/.352	.084	.291	5	1	10%	3%	83	+0.3
✕Johnny Giavotella 2017 · MLB	30	54→59	42→45	48→50	49	.256/.297/.365	.109	.277	8	9	11%	5%	85	+0.7	.251/.300/.360	.109	.282	9	7	14%	6%	85	+0.7	.270/.323/.382	.112	.303	8	5	13%	7%	100	+1.1
✕Pablo Ozuna 2005 · MLB	30	48	44→40	54→55	49	.236/.300/.359	.123	.261	11	15	15%	6%	85	+0.7	.264/.309/.356	.092	.294	6	23	12%	5%	88	+0.9	.288/.324/.385	.098	.319	4	16	10%	3%	98	+0.5
●Jose Iglesias 2020 · MLB	30	56→62	44→45	46→50	46	.270/.306/.390	.120	.294	10	11	13%	4%	95	+1.4	.283/.320/.408	.125	.315	11	7	13%	4%	106	+2.2	.284/.322/.396	.111	.319	8	4	13%	4%	101	+1.1
✕Ildemaro Vargas 2021 · MLB	30	54→57	44→45	50	47	.260/.294/.378	.118	.278	10	8	11%	4%	86	+0.8	.240/.281/.365	.125	.262	11	7	13%	5%	78	+0.2	.239/.282/.357	.118	.259	9	5	12%	5%	74	-0.0
✕Francisco Arias 2008 · AAA	30	54→50	39→40	48→45	43	.256/.297/.343	.087	.286	7	7	13%	4%	79	+0.3	.249/.293/.345	.096	.272	7	6	11%	4%	78	+0.2	.270/.319/.375	.105	.289	8	5	9%	4%	95	+0.7
✕Lou Merloni 2001 · MLB	30	54→46	42→45	52→40	45	.260/.303/.380	.120	.305	8	8	17%	5%	92	+1.2	.255/.316/.383	.128	.302	10	7	18%	7%	98	+1.6	.260/.339/.379	.119	.313	8	4	18%	9%	102	+0.7
✕Fernando Rios 2008 · AAA	29	54	42→40	51→50	48	.260/.310/.365	.106	.290	10	15	15%	6%	91	+1.1	.243/.299/.327	.084	.279	6	10	14%	7%	76	+0.1	.252/.309/.323	.070	.285	4	6	13%	7%	77	+0.1
✕Jermaine Curtis 2017 · AAA	30	53→61	41→40	50	52	.255/.335/.352	.097	.284	9	10	14%	8%	99	+1.7	.235/.321/.325	.090	.296	7	8	22%	8%	86	+0.8	.214/.315/.272	.058	.290	2	5	24%	10%	70	-0.1
✕Enrique Osorio 2016 · AAA	31	54→57	43→45	51→50	46	.262/.302/.371	.109	.288	10	17	13%	5%	89	+0.9	.264/.308/.347	.083	.297	6	14	13%	5%	85	+0.7	.268/.317/.338	.070	.308	4	11	14%	5%	84	+0.3
●Adonis García 2015 · AAA	30	52→56	44→50	48→50	42	.253/.287/.373	.120	.288	11	11	17%	4%	83	+0.6	.262/.292/.395	.133	.295	15	8	16%	3%	92	+1.2	.264/.296/.400	.136	.293	16	6	16%	3%	91	+0.8
●Nick Van Stratten 2015 · AA	30	51→59	40	53→55	43	.242/.291/.340	.097	.290	7	12	19%	5%	76	+0.0	.285/.325/.373	.088	.319	5	22	12%	5%	98	+1.6	.315/.350/.393	.078	.347	3	27	10%	4%	110	+1.1
✕Manuel Velez 2006 · AAA	30	55→59	41→40	50→45	52	.264/.321/.364	.100	.299	9	9	15%	8%	95	+1.4	.267/.310/.370	.103	.290	10	6	11%	5%	92	+1.2	.280/.316/.388	.108	.294	13	2	10%	4%	95	+0.5
✕Hanser Alberto 2022 · MLB	29	57→63	43→45	47→50	44	.279/.306/.399	.121	.298	10	7	11%	3%	98	+1.6	.242/.277/.375	.133	.269	11	6	15%	4%	79	+0.3	.242/.256/.362	.120	.277	7	0	16%	2%	65	-0.2
✕Santiago Gonzalez 2013 · AAA	30	53→60	44→50	46→55	42	.261/.290/.374	.113	.281	12	9	13%	3%	84	+0.6	.247/.282/.391	.144	.264	16	8	13%	3%	86	+0.8	.244/.283/.390	.146	.257	15	8	12%	3%	84	+0.4
✕Amadeo Zazueta 2017 · AAA	31	56→63	38→45	49→50	45	.266/.297/.347	.081	.294	6	14	12%	4%	79	+0.3	.276/.306/.382	.106	.303	9	11	12%	4%	92	+1.2	.285/.317/.397	.112	.307	10	8	10%	3%	99	+1.2
✕Alcides Escobar 2017 · MLB	30	54→63	38→45	54→55	45	.258/.293/.339	.081	.289	5	18	13%	4%	76	+0.0	.243/.278/.341	.098	.280	7	9	15%	4%	70	-0.3	.245/.290/.359	.114	.297	9	6	20%	5%	78	+0.1
✕Sergio Palafox 2010 · AAA	30	53	39→40	50→45	51	.252/.303/.338	.086	.278	6	10	12%	7%	80	+0.4	.227/.277/.310	.083	.263	6	10	15%	6%	62	-0.9	.227/.269/.281	.054	.269	2	7	16%	5%	47	-0.5
●Jamey Carroll 2004 · MLB	30	52→62	41→40	51→50	50	.249/.309/.352	.103	.287	7	11	16%	7%	86	+0.8	.261/.338/.344	.083	.300	4	10	13%	10%	97	+1.5	.283/.362/.340	.057	.337	1	12	14%	10%	101	+1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)