Wade Meckler — OGILVIE

Wade MecklerOF Rocket City Trash Pandas

Age 26 L/R 5'9" / 190 lbs AA HR -5% Svc 3.000 · Ctrl thru 2028 peak 1.9 · 2027

wRC+†111

AVG/OBP/SLG.253 / .326 / .353

PA250

HR3

SB9

K%22

BB%9

MLB%2%

Scouting · now → future

HIT

60→60

PWR

35→35

SPD

50→50

EYE

52↗60

trajectory · 10 yrs

1.4peak

2027

Contract

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

Status Arb-1

MLB Debut 2023

Service 3.000 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$1M	+1.2	$10M	+$9M
2027	Arb-2	$7M	+1.9	$16M	+$9M
2028	Arb-3	$10M	+1.9	$16M	+$6M
Totals		$18M		$41M	+$24M

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
2022	22	A	2 teams	100	86	24	9	0	1	13	23	1	2	0	.279	.380	.419	.799	.140	.371	23	13	.355	129	+3	+0	+0	+0	+3	0.7
2023	23	AA	4 teams	427	380	119	15	4	5	41	99	3	13	4	.313	.384	.413	.798	.100	.410	23	10	.352	128	+13	+1	-1	+2	+12	2.7
2024	24	AAA	5 teams	383	351	83	12	2	7	30	80	1	9	1	.236	.298	.342	.640	.105	.287	21	8	.286	77	-10	+1	+0	+1	+11	0.4
2025	25	AAA	Sacramento River Cats	401	356	89	18	2	1	39	92	2	11	3	.250	.327	.320	.648	.070	.331	23	10	.292	82	-8	+1	+0	+1	+11	0.6
▸ 2026 Season (actual · ROS · total)
2026	26	AA	2 teams	73	62	18	2	0	3	10	13	0	4	0	.290	.389	.468	.857	.177	.326	18	14	.357	131	+3	+1	+0	+0	+2	0.6
ROS	26	MLB	LAA	177	156	40	6	1	3	18	38	1	5	1	.256	.337	.365	.703	.109	.322	21	10	.319	102	+0	+1	-0	+1	+5	0.7
TOT	26	MLB	LAA	250	218	58	8	1	6	28	51	1	9	1	.266	.352	.394	.747	.128	.321	20	11	.330	111	+3	+1	-0	+1	+7	1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 11%	LAA	395	347	90	14	2	7	43	76	2	11	1	.259	.344	.372	.716	.112	.312	19	11	.326	108	+4	+2	-1	+1	+11	1.8
2028	28	MLB 22%	LAA	403	354	92	15	2	8	44	80	2	11	1	.260	.345	.381	.726	.121	.311	20	11	.325	107	+3	+2	-1	+1	+11	1.7
2029	29	MLB 34%	LAA	398	350	90	15	2	8	43	80	2	10	1	.257	.342	.380	.722	.123	.309	20	11	.323	106	+3	+2	-2	+1	+11	1.5
2030	30	MLB 44%	LAA	394	347	88	14	2	8	42	81	2	9	0	.254	.338	.375	.712	.121	.308	21	11	.320	103	+2	+2	-3	+1	+11	1.3
2031	31	MLB 53%	LAA	379	333	85	14	2	7	41	79	2	7	0	.255	.340	.372	.713	.117	.308	21	11	.317	101	+0	+1	-3	+1	+11	1.1
2032	32	MLB 64%	LAA	360	317	79	13	2	6	38	77	2	5	0	.249	.333	.360	.693	.110	.306	21	11	.312	97	-1	+1	-4	+1	+10	0.7
2033	33	MLB 74%	LAA	330	290	70	11	1	5	35	73	2	3	0	.241	.327	.338	.665	.097	.305	22	11	.306	92	-3	+1	-5	+1	+9	0.4
2034	34	MLB 81%	LAA	286	253	60	9	1	4	30	66	1	2	0	.237	.320	.328	.648	.091	.304	23	10	.300	87	-4	+0	-5	+1	+8	0.0
2035	35	MLB 88%	LAA	234	206	48	7	1	3	25	56	1	1	0	.233	.319	.320	.639	.087	.302	24	11	.292	82	-5	+0	-6	+1	+7	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4667	4126	1057	172	24	73	482	1000	24	99	12	.256	.337	.363	.700	.106	.320	21	10	.315	99	-3	+15	-32	+17	+132	13.2
/ 162G	—			650	575	147	24	3	10	67	139	3	14	2	.256	.336	.360	.696	.104	.319	21	10	.315	99	-0	+2	-4	+2	+18	1.8

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
2022	22	A	San Jose Giants	50	41	18	7	0	1	9	8	0	1	0	.439	.540	.683	1.223	.244	.531	16	18	.528	262	+9	+0	—	—	+1	1.1
2022	22	ROK	ACL Giants Black	50	38	11	4	0	0	11	8	1	1	0	.289	.460	.395	.855	.105	.367	16	22	.398	162	+4	+0	—	—	+1	0.5
2023	23	MLB	San Francisco Giants	64	56	13	1	0	0	6	25	2	0	0	.232	.328	.250	.578	.018	.419	39	9	.278	71	-2	+0	-1	+2	+2	-0.0
2023	23	AAA	Sacramento River Cats	102	82	29	4	1	2	18	20	0	7	0	.354	.470	.500	.970	.146	.443	20	18	.425	184	+10	+1	—	—	+3	1.4
2023	23	AA	Richmond Flying Squirrels	174	149	50	7	2	2	25	29	0	4	3	.336	.431	.450	.881	.114	.407	17	14	.397	162	+12	-0	—	—	+5	1.7
2023	23	A+	Eugene Emeralds	87	79	36	6	1	2	6	9	1	2	1	.456	.500	.633	1.133	.177	.493	10	7	.492	235	+13	+0	—	—	+2	1.6
2024	24	AAA	Sacramento River Cats	196	177	51	9	3	8	19	25	0	3	1	.288	.357	.508	.866	.220	.299	13	10	.379	148	+11	+0	—	—	+6	1.7
2024	24	AA	Richmond Flying Squirrels	42	37	12	2	0	0	5	10	0	0	0	.324	.405	.378	.783	.054	.444	24	12	.360	133	+2	+0	—	—	+1	0.3
2024	24	A+	Eugene Emeralds	19	14	6	1	0	0	4	3	0	1	0	.429	.556	.500	1.056	.071	.500	16	21	.453	204	+2	+0	—	—	+1	0.3
2024	24	A	San Jose Giants	59	51	12	1	0	1	8	10	0	0	0	.235	.339	.314	.653	.078	.275	17	14	.305	92	-1	+0	—	—	+2	0.1
2024	24	ROK	ACL Giants	67	57	13	2	0	0	9	13	1	5	0	.228	.343	.263	.606	.035	.295	19	13	.292	81	-1	+1	—	—	+2	0.2
2025	25	AAA	Sacramento River Cats	401	338	97	21	2	1	57	72	2	11	3	.287	.393	.370	.763	.083	.358	18	14	.348	125	+11	+1	—	—	+11	2.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			64	56	13	1	0	0	6	25	2	0	0	.232	.328	.250	.578	.018	.419	39	9	.278	71	-2	+0	-1	+2	+2	-0.0

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
Wade Meckler (OGILVIE)	26	60	35	50	60	.253/.326/.353	.101	.322	3	6	22%	9%	95	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Greg Garcia 2017 · MLB	27	52→53	39→40	48→50	51	.245/.325/.333	.087	.312	6	11	22%	9%	89	+1.0	.245/.340/.339	.094	.310	7	7	21%	11%	98	+1.6	.241/.350/.334	.093	.308	6	3	21%	13%	99	+0.8
●Chris Coghlan 2011 · MLB	26	58→66	44→50	53→55	53	.280/.347/.407	.127	.325	9	17	16%	8%	117	+2.9	.244/.312/.360	.116	.284	9	12	16%	8%	90	+1.0	.246/.332/.407	.161	.296	14	11	20%	11%	102	+1.4
✕L.J. Hoes 2016 · MLB	26	54→62	39→40	50	50	.255/.320/.343	.087	.314	5	18	20%	8%	89	+0.9	.231/.288/.327	.096	.273	9	15	18%	7%	71	-0.3	.220/.273/.304	.084	.251	9	9	16%	6%	55	-1.0
●Ben Gamel 2018 · MLB	26	54→63	43→50	50	45	.262/.308/.381	.120	.326	10	11	22%	6%	94	+1.3	.263/.332/.387	.124	.341	9	10	23%	9%	105	+2.1	.264/.347/.392	.128	.352	8	9	25%	10%	107	+1.1
●Adam Frazier 2018 · MLB	26	60→66	41→50	49→50	51	.285/.340/.392	.108	.320	6	15	13%	7%	110	+2.4	.265/.326/.401	.136	.296	12	7	14%	7%	107	+2.2	.281/.343/.403	.122	.310	10	6	12%	7%	109	+1.9
●Tony Kemp 2019 · MLB	27	56→60	41→45	54→55	52	.270/.326/.372	.102	.302	8	20	13%	7%	98	+1.6	.248/.326/.373	.125	.277	12	15	14%	9%	100	+1.7	.250/.341/.359	.109	.277	9	12	13%	10%	101	+1.1
✕Boog Powell 2019 · MLB	26	51→58	40	46→50	50	.247/.309/.338	.091	.301	8	15	20%	8%	82	+0.5	.223/.294/.329	.106	.310	10	16	29%	9%	75	-0.0	.208/.286/.314	.106	.301	9	18	31%	10%	65	-0.5
✕Ramón Flores 2018 · MLB	26	51→57	42→45	51→50	53	.248/.319/.351	.103	.294	9	9	19%	9%	91	+1.1	.235/.301/.340	.105	.290	10	10	21%	8%	80	+0.4	.219/.283/.304	.085	.273	8	6	22%	8%	62	-0.3
✕Luis Guillorme 2021 · MLB	26	54→61	42→40	46→45	54	.257/.330/.366	.109	.306	9	8	18%	9%	99	+1.7	.257/.341/.345	.088	.307	7	5	17%	11%	98	+1.6	.255/.343/.324	.069	.303	4	1	16%	11%	88	+0.4
✕Will Brennan 2023 · MLB	25	55→60	44→45	52→50	48	.267/.319/.393	.126	.308	10	15	17%	6%	102	+1.8	.267/.308/.380	.113	.303	10	14	15%	5%	93	+1.3	.267/.304/.369	.102	.300	9	13	14%	4%	84	+0.3
✕Tim Fedroff 2013 · AAA	26	57→61	41→40	48→50	49	.269/.324/.371	.102	.326	7	10	19%	7%	97	+1.5	.235/.300/.316	.081	.307	6	13	23%	8%	73	-0.1	.216/.288/.271	.055	.292	4	14	25%	9%	54	-1.2
✕Cory Sullivan 2006 · MLB	26	56→60	41→45	53→50	48	.268/.323/.371	.103	.326	8	15	20%	7%	97	+1.5	.256/.307/.365	.109	.324	6	13	21%	7%	89	+0.9	.252/.301/.360	.108	.318	5	13	21%	6%	80	+0.3
✕Jim Negrych 2011 · AAA	26	58→68	39→40	47→50	50	.273/.330/.365	.092	.330	5	10	18%	7%	98	+1.6	.262/.316/.358	.096	.310	8	9	17%	7%	91	+1.1	.267/.320/.361	.094	.310	8	7	16%	7%	91	+0.8
✕Brock Holt 2014 · MLB	26	57→66	37→45	48→50	48	.266/.316/.341	.076	.318	3	13	17%	6%	86	+0.8	.262/.319/.355	.093	.320	5	13	18%	7%	91	+1.1	.263/.326/.363	.100	.321	6	12	19%	8%	93	+1.0
●Denard Span 2010 · MLB	26	60→64	41→50	55	55	.284/.355/.391	.108	.332	7	23	16%	9%	115	+2.8	.267/.335/.363	.096	.301	5	20	12%	9%	100	+1.7	.261/.330/.402	.141	.286	13	12	14%	9%	105	+1.9
✕Lastings Milledge 2011 · MLB	26	55→58	42→50	49→55	48	.266/.322/.377	.111	.308	9	16	17%	6%	98	+1.6	.254/.308/.368	.114	.287	11	19	15%	6%	91	+1.1	.253/.306/.362	.109	.280	11	27	14%	6%	84	+0.5
✕Sam Fuld 2008 · AAA	26	55→57	40→45	53→60	51	.260/.319/.363	.103	.299	5	14	14%	7%	93	+1.3	.247/.311/.348	.101	.279	6	16	13%	8%	86	+0.8	.246/.317/.355	.110	.273	4	27	11%	9%	87	+0.6
●Jake Cronenworth 2020 · AAA	26	52→58	41→50	52→50	49	.248/.311/.351	.103	.301	7	15	20%	8%	87	+0.8	.257/.329/.411	.154	.295	13	9	17%	8%	111	+2.5	.251/.335/.419	.168	.284	15	4	17%	9%	109	+2.0
✕Terrin Vavra 2023 · MLB	26	54→46	42→45	50	51	.252/.334/.369	.117	.326	8	11	24%	10%	102	+1.9	.244/.313/.348	.104	.321	8	10	24%	8%	88	+0.9	.237/.301/.323	.086	.318	6	9	25%	7%	72	-0.1
✕Adron Chambers 2013 · MLB	26	54→60	40→45	52→55	47	.253/.319/.350	.097	.329	7	18	24%	8%	91	+1.1	.242/.303/.340	.098	.314	8	15	24%	7%	81	+0.4	.247/.298/.345	.098	.321	6	10	24%	6%	77	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)