Zach Ehrhard — OGILVIE

Zach EhrhardOF Oklahoma City Comets

Age 23 R/R 5'9" / 190 lbs AAA HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION608 act + 10 ros · stats below = ROS only

showingROS

wRC+†90

AVG/OBP/SLG—

PA1

HR0

K%30

BB%10

BABIP281

ISO128

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$14M ctrl surplus

Tools · ContractCON 48 / POW 47

Toolsscout grade

CONTACT48

scouting grade only

POWER47

scouting grade only

EYE60

scouting grade only

SPEED55

scouting grade only

DEFENSE51

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2031	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2032	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2033	Arb-3	$4M	+0.3	$0.7M	+$0.0M (cut)
Totals		$3M		$9M	+$4M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	21	A+	Greenville Drive	—	91	77	12	3	0	0	11	25	1	4	1	156	270	195	464	39	222	27	12	224	38	-7	+0	—	—	+2	-0.4
2025	22	AA	Tulsa Drillers	—	398	342	85	20	2	13	41	70	9	30	4	249	344	433	777	184	273	18	10	343	118	+9	+4	—	—	+9	2.2
2025	22	A+	Greenville Drive	—	140	111	38	10	0	1	26	27	2	7	0	342	475	459	934	117	440	19	19	421	171	+12	+1	—	—	+3	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A+ MLE	Greenville Drive	—	91	80	9	2	0	0	8	35	1	4	1	113	202	138	340	25	185	38	9	166	-1	-11	+0	—	—	+2	-0.9
2025	22	AA MLE	Tulsa Drillers	—	398	356	77	17	2	11	27	87	9	30	4	216	288	368	656	152	240	22	7	280	76	-12	+4	—	—	+9	0.2
2025	22	A+ MLE	Greenville Drive	—	140	121	32	7	0	1	16	39	2	7	0	264	360	347	707	83	378	28	11	319	102	+0	+1	—	—	+3	0.5
2024	21	A+ MLE	Greenville Drive	—	91	80	9	2	0	0	8	35	1	4	1	113	202	138	340	25	191	38	9	166	-1	—	—	—	—	—	—
2024	21	A+ RAW	Greenville Drive	—	91	77	12	3	0	0	11	25	1	4	1	156	270	195	464	39	222	27	12	224	-1	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	538	477	109	24	2	12	43	125	11	37	4	229	307	363	670	134	280	23	8	290	83	—	—	—	—	—	—
2025	22	AA RAW	2 teams	—	538	453	123	30	2	14	67	97	11	37	4	272	379	439	818	168	313	18	12	363	83	—	—	—	—	—	—
2024	21	A+ MLE	Greenville Drive	—	91	82	9	2	0	0	8	35	1	4	1	110	202	134	336	24	185	38	9	166	-1	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	538	479	109	24	2	12	43	125	11	37	4	228	307	361	668	134	276	23	8	290	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A+ MLE	Greenville Drive	—	91	82	9	2	0	0	8	35	1	4	1	110	202	134	336	24	185	38	9	166	-1	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	538	479	109	24	2	12	43	125	11	37	4	228	307	361	668	134	276	23	8	290	83	—	—	—	—	—	—
YTD	23	AAA MLE	LAD	—	608	530	119	20	2	15	64	162	7	26	11	225	316	355	671	130	289	27	11	301	90	-7	+1	+0	-4	+13	0.3
▸ 2026 season
YTD	23	AAA RAW	LAD	—	608	504	146	26	3	20	90	126	7	26	11	290	404	472	877	183	345	21	15	387	90	—	—	—	—	—	—
ROS	23	AAA MLE	LAD	10%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		285	30	10	301	90	-0	+0	-0	-0	+0	0.0
▸ 2026 season — projected rest
ROS	23	MLB CTX	LAD	10%	1	1	0	0	0	0	0	0	0	0	0						281	0	0	291	90	-0	+0	-0	-0	+0	0.0
FULL	23	MLB A+C	LAD	—	1	1	0	0	0	0	0	0	0	0	0							0	0	291	90	-0	+0	-0	-0	+0	0.0
TOT	23	AAA MLE	LAD	—	618	539	120	20	2	15	65	165	7	26	11	223	314	351	665	128	287	27	11	301	90	-7	+1	-0	-4	+13	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAD	42%	581	511	117	21	2	15	58	147	7	22	8	229	316	366	682	137	288	25	10	308	94	-4	+1	-0	-3	+13	0.6
2028	25	MLB MLE	LAD	58%	609	536	124	22	2	17	61	151	7	23	8	231	318	375	693	144	288	25	10	311	97	-2	+1	-0	-4	+13	0.9
2029	26	MLB MLE	LAD	65%	627	552	127	23	2	17	63	155	7	24	8	230	317	371	688	141	289	25	10	313	98	-1	+2	-0	-4	+14	1.0
2030	27	MLB MLE	LAD	66%	637	560	130	23	2	18	64	157	8	24	8	232	320	377	696	145	288	25	10	313	98	-1	+2	-0	-4	+14	1.0
2031	28	MLB MLE	LAD	67%	632	555	128	23	2	17	64	157	8	23	8	231	319	371	690	141	288	25	10	312	98	-2	+1	-1	-4	+14	0.9
2032	29	MLB MLE	LAD	66%	624	548	126	23	2	17	64	156	7	21	7	230	318	372	691	142	287	25	10	311	96	-3	+1	-1	-4	+14	0.7
2033	30	MLB MLE	LAD	65%	615	540	123	22	2	16	63	155	7	18	6	228	316	365	681	137	286	25	10	308	94	-4	+1	-2	-4	+13	0.5
2034	31	MLB MLE	LAD	65%	604	530	119	21	2	16	62	155	7	16	6	225	314	362	676	138	283	26	10	304	92	-6	+1	-3	-4	+13	0.1
2035	32	MLB MLE	LAD	65%	478	421	92	16	1	12	49	124	5	10	4	219	307	347	654	128	280	26	10	298	88	-7	+0	-4	-3	+10	-0.3
2027	24	MLB CTX	LAD	42%	246	216	50	9	1	7	25	62	3	9	3	231	320	380	699	148	284	25	10	298	94	-2	+1	-0	-1	+5	0.3
2028	25	MLB CTX	LAD	58%	350	308	70	12	1	10	35	87	4	13	5	227	314	370	684	143	284	25	10	302	97	-1	+1	-0	-2	+8	0.5
2029	26	MLB CTX	LAD	65%	405	357	83	15	1	12	40	100	5	15	5	232	318	381	699	148	285	25	10	304	98	-1	+1	-0	-2	+9	0.6
2030	27	MLB CTX	LAD	66%	422	371	85	15	1	12	43	104	5	16	6	229	317	372	689	143	284	25	10	304	98	-1	+1	-0	-3	+9	0.7
2031	28	MLB CTX	LAD	67%	424	373	85	15	1	12	43	105	5	15	5	228	316	370	686	142	284	25	10	303	98	-1	+1	-1	-3	+9	0.6
2032	29	MLB CTX	LAD	66%	411	361	83	15	1	12	42	103	5	14	5	230	319	377	695	147	283	25	10	301	96	-2	+1	-1	-2	+9	0.5
2033	30	MLB CTX	LAD	65%	401	352	79	14	1	11	41	101	5	12	4	224	314	364	678	139	282	25	10	298	94	-3	+1	-1	-2	+9	0.3
2034	31	MLB CTX	LAD	65%	392	344	76	13	1	10	40	100	5	10	4	221	311	352	663	131	279	26	10	294	92	-4	+0	-2	-2	+8	0.1
2035	32	MLB CTX	LAD	65%	309	271	59	10	1	8	32	80	3	7	2	218	307	351	658	133	276	26	10	289	88	-4	+1	-2	-2	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3361	2954	670	118	9	94	341	842	40	111	39	227	315	368	683	142	283	25	10	300	93	-19	+7	-7	-20	+73	3.4
/ 162G	—	A+C		—	650	571	130	23	2	18	66	163	8	21	8	228	316	370	686	142	285	25	10	300	93	-4	+1	-1	-4	+14	0.7
Career	—	MLE		—	6046	5319	1205	220	19	157	600	1520	75	222	68	227	314	364	677	137	285	25	10	305	93	-31	+11	-11	-33	+117	5.5
/ 162G	—	MLE		—	650	572	130	24	2	17	65	163	8	24	7	227	315	365	681	138	285	25	10	305	93	-4	+1	-1	-4	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#2Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#3Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#4Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.1	3,392	91	112	230	314	371	-20	+3	5.9	5.6
/162	664	18	22	-4.0	+0.7	1.1	pk7: 5
#5Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#6Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 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
Zach Ehrhard (OGILVIE)	23	30→48	45→47	55	60	222/309/349	127	285	8	13	26%	10%	90	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Matt McLain 2023 · AA	23	40→50	49→55	59→55	47	205/293/360	155	287	16	24	33%	10%	86	+0.3	245/323/418	173	327	19	21	29%	9%	109	+2.0	229/312/387	159	297	19	21	28%	9%	96	+0.9
✕Eguy Rosario 2023 · AAA	23	45→52	48→55	51→55	44	224/288/368	143	289	15	21	27%	7%	84	+0.2	210/273/359	149	279	16	17	30%	7%	78	-0.3	189/253/336	146	255	17	17	32%	7%	62	-0.7
✕Mario Lisson 2007 · A	23	45→49	44→50	55	47	219/296/340	121	292	11	22	27%	8%	82	-0.0	215/266/325	110	280	11	19	26%	5%	66	-1.1	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Dylan Moore 2017 · A	24	44→48	44→50	54→65	47	216/295/339	123	274	11	23	24%	8%	81	-0.1	209/275/329	120	265	11	18	25%	7%	71	-0.8	207/330/379	172	285	16	41	30%	12%	101	+0.7
✕Caleb Durbin 2023 · A	23	46→52	41→45	56→60	50	221/295/323	102	249	8	21	15%	7%	78	-0.3	243/317/357	114	265	9	31	12%	7%	93	+0.8	243/323/371	128	260	12	25	12%	7%	96	+0.9
●Rafael Lantigua 2022 · A	24	45→55	45	53→55	45	223/287/353	130	295	13	20	28%	8%	81	-0.1	247/317/352	105	324	8	18	24%	9%	91	+0.7	251/326/344	93	326	6	18	23%	9%	90	+0.5
✕Ke'Bryan Hayes 2020 · AAA	23	48→55	42→50	53→50	47	233/291/347	113	289	8	13	22%	7%	80	-0.1	252/312/388	136	314	12	14	22%	8%	98	+1.2	257/314/398	140	314	13	16	21%	7%	99	+1.0
✕Victor Robles 2020 · MLB	23	50→52	48→50	55→60	44	249/317/399	151	302	14	26	22%	6%	103	+1.6	228/302/351	123	292	11	19	25%	6%	86	+0.3	282/352/386	105	351	6	51	20%	6%	110	+0.7
✕Andy Burns 2014 · AA	23	47→57	46→50	53→55	44	231/285/374	142	291	12	19	25%	6%	84	+0.2	232/276/343	111	285	9	13	21%	5%	74	-0.6	199/279/320	121	257	13	10	27%	9%	68	-0.6
✕Drew Ferguson 2017 · AA	24	49→50	45	53→55	44	240/306/370	130	319	12	21	28%	7%	92	+0.7	238/315/349	111	322	10	18	27%	9%	91	+0.6	235/320/338	103	319	9	20	27%	9%	87	+0.2
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Nick Loftin 2023 · AAA	24	45→52	46→45	53→50	47	225/285/350	125	264	13	18	20%	7%	80	-0.2	236/307/355	119	272	12	13	18%	8%	88	+0.5	228/318/350	122	261	10	9	16%	10%	91	+0.5
✕Cole Gillespie 2007 · A	23	49→58	46→50	52→50	52	239/317/369	129	293	13	15	22%	9%	96	+1.0	230/310/363	133	297	12	13	25%	10%	92	+0.7	230/306/374	144	291	12	14	24%	9%	90	+0.5
●Josh Lowe 2021 · AA	23	41→51	46→55	53→60	43	208/272/338	131	294	14	20	33%	8%	72	-0.7	241/302/401	160	339	17	26	32%	8%	97	+1.1	252/311/424	172	347	18	31	31%	8%	103	+1.3
✕Lolo Sanchez 2022 · A	23	43	45	53→55	48	217/291/339	122	258	13	23	21%	7%	80	-0.2	204/278/293	89	247	9	13	20%	8%	64	-1.3	187/264/251	64	226	6	9	19%	8%	46	-1.1
✕Aaron Luna 2010 · AA	23	40→45	50	49→45	46	205/312/364	158	263	16	8	27%	8%	95	+0.9	225/323/366	141	281	15	8	24%	8%	99	+1.2	223/327/361	137	276	16	6	24%	9%	97	+0.7
✕Connor Norby 2023 · AAA	23	45→49	51→55	49→50	44	231/295/391	160	292	19	12	28%	7%	93	+0.8	239/298/393	154	317	17	11	29%	7%	94	+0.9	239/312/395	156	325	18	14	30%	8%	98	+1.0
●Esteury Ruiz 2022 · AA	23	42→52	45→50	59→70	40	214/269/340	126	284	13	35	29%	6%	72	-0.7	256/326/388	132	318	12	60	22%	6%	103	+1.6	264/338/395	131	327	12	74	22%	6%	107	+1.2
✕Leo German 2016 · AAA	23	44→54	41→45	54→55	42	216/277/309	93	274	9	21	24%	5%	67	-1.1	255/294/342	87	336	6	27	25%	4%	80	-0.2	278/313/363	84	359	6	23	23%	4%	88	+0.2
✕DJ Stewart 2018 · AA	24	46→48	47→55	52→50	49	232/305/370	139	284	15	16	24%	8%	92	+0.7	221/298/372	151	270	17	11	24%	9%	91	+0.6	208/314/396	188	250	26	2	28%	11%	99	+0.6

Career Stats + Projections

Career Comps

Career Path Comps