Zyhir Hope — OGILVIE

Zyhir HopeRF Erie SeaWolves

Age 22 L/L 5'10" / 193 lbs AA HR -8% Svc 0.0 · Ctrl thru 2033

2027 FULL-SEASON PROJECTION0 act + 0 ros · stats below = full-season projection

showingPROJ

wRC+†95

AVG/OBP/SLG.227 / .300 / .378

PA38

HR1

K%29

BB%8

BABIP296

ISO114

MLB%12%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$33M ctrl surplus

Tools · ContractCON 49 / POW 62

Toolsscout grade

CONTACT49

scouting grade only

POWER62

scouting grade only

EYE56

scouting grade only

SPEED57

scouting grade only

DEFENSE52

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
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.6	$2M	+$2M
2029	Pre-Arb	$0.8M	+1.0	$7M	+$6M
2030	Pre-Arb	$0.8M	+1.3	$8M	+$8M
2031	Arb-1	$5M	+1.5	$9M	+$6M
2032	Arb-2	$7M	+1.4	$8M	+$3M
2033	Arb-3	$10M	+1.2	$6M	+$0.8M
Totals		$24M		$40M	+$25M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2023	18	ROK	ACL Cubs	—	43	35	10	0	0	3	8	13	0	3	1	286	419	543	961	257	368	30	19	422	78	—	—	—	—	—	—
2024	19	A	Rancho Cucamonga Quakes	—	248	202	58	14	0	9	37	60	7	8	2	287	411	490	901	203	368	24	15	401	95	—	—	—	—	—	—
2024	19	ROK	ACL Dodgers	—	24	19	6	2	0	0	4	2	1	1	0	316	458	421	879	105	353	8	17	405	86	—	—	—	—	—	—
2024	19	INTL	Glendale Desert Dogs	—	103	92	21	3	1	5	8	25	2	2	1	228	304	446	750	217	254	24	8	328	108	—	—	—	—	—	—
2025	20	AA	Tulsa Drillers	—	20	19	6	2	0	0	1	4	0	1	0	316	350	421	771	105	400	20	5	344	86	—	—	—	—	—	—
2025	20	A+	Great Lakes Loons	—	524	439	116	27	3	13	78	139	3	26	6	264	378	428	806	164	355	27	15	361	80	—	—	—	—	—	—
2026	21	AA	Erie SeaWolves	—	564	491	141	20	2	29	62	141	4	26	6	287	372	513	885	226	341	25	11	385	109	—	—	—	—	—	—
2026	21	INTL	Scottsdale Scorpions	—	27	21	6	0	0	1	5	8	1	0	0	286	444	429	873	143	417	30	19	401	158	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	ACL Cubs	—	43	38	7	0	0	2	5	19	0	3	1	184	279	342	621	158	299	44	12	284	78	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	248	213	47	12	0	6	28	85	7	8	2	221	331	362	692	141	331	34	11	309	95	—	—	—	—	—	—
2024	19	ROK MLE	ACL Dodgers	—	24	21	5	2	0	0	2	3	1	1	0	238	333	333	667	95	277	12	8	295	86	—	—	—	—	—	—
2025	20	AA MLE	Tulsa Drillers	—	20	19	6	2	0	0	1	5	0	1	0	316	350	421	771	105	382	25	5	295	86	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	524	462	98	22	2	10	56	180	3	26	6	212	301	333	635	121	318	34	11	286	80	—	—	—	—	—	—
2026	21	AA MLE	Erie SeaWolves	—	564	510	131	17	2	23	43	172	4	26	6	257	320	433	753	176	328	30	8	329	109	—	—	—	—	—	—
2023	18	ROK MLE	ACL Cubs	—	43	38	7	0	0	2	5	19	0	3	1	184	279	342	621	158	294	44	12	284	78	—	—	—	—	—	—
2023	18	ROK RAW	ACL Cubs	—	43	35	10	0	0	3	8	13	0	3	1	286	419	543	961	257	368	30	19	422	78	—	—	—	—	—	—
2024	19	A MLE	3 teams	—	375	322	72	18	0	9	42	121	10	11	3	224	332	363	695	140	326	32	11	308	94	—	—	—	—	—	—
2024	19	A RAW	3 teams	—	375	313	85	19	1	14	49	87	10	11	3	272	385	473	858	201	333	23	13	381	94	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	544	482	104	24	2	10	56	185	3	27	6	216	301	336	637	120	324	34	10	286	80	—	—	—	—	—	—
2025	20	A+ RAW	2 teams	—	544	458	122	29	3	13	79	143	3	27	6	266	377	428	805	162	357	26	15	361	80	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	591	533	138	18	2	25	46	180	5	26	6	259	324	441	765	182	337	30	8	329	109	—	—	—	—	—	—
2026	21	AA RAW	2 teams	—	591	512	147	20	2	30	67	149	5	26	6	287	375	510	885	223	344	25	11	385	109	—	—	—	—	—	—
2023	18	ROK MLE	ACL Cubs	—	43	38	7	0	0	2	5	19	0	3	1	184	279	342	621	158	299	44	12	284	78	—	—	—	—	—	—
2024	19	A MLE	3 teams	—	375	320	72	18	0	9	42	121	10	11	3	225	332	366	697	141	326	32	11	308	94	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	544	480	104	24	2	10	56	185	3	27	6	217	301	338	639	121	320	34	10	286	80	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	591	535	138	18	2	25	46	180	5	26	6	258	324	439	763	181	328	30	8	329	109	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	3 teams	—	375	320	72	18	0	9	42	121	10	11	3	225	332	366	697	141	326	32	11	308	94	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	544	480	104	24	2	10	56	185	3	27	6	217	301	338	639	121	320	34	10	286	80	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	591	535	138	18	2	25	46	180	5	26	6	258	324	439	763	181	328	30	8	329	109	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	DET	12%	648	582	134	23	2	21	57	190	4	19	4	231	304	388	692	157	301	29	9	308	95	-4	+2	+2	-7	+14	1.0
▸ 2027 — real world (MLB)
2027	22	MLB CTX	DET	12%	38	35	7	1	0	1	3	11	0	1	0	227	300	378	678	151	296	29	8	303	95	-0	+0	+0	-0	+1	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	DET	60%	571	512	121	21	2	20	50	164	4	17	4	235	308	399	708	164	302	29	9	314	99	-1	+2	+2	-6	+12	0.9
2029	24	MLB MLE	DET	73%	597	535	128	22	2	22	53	168	4	17	4	240	314	416	729	176	303	28	9	323	105	+3	+2	+2	-6	+13	1.4
2030	25	MLB MLE	DET	78%	615	550	133	23	2	24	55	170	5	17	4	243	317	425	742	183	303	28	9	328	108	+6	+2	+2	-7	+13	1.7
2031	26	MLB MLE	DET	81%	627	561	137	23	2	26	56	173	5	16	4	244	318	430	748	186	303	28	9	330	110	+7	+2	+2	-7	+14	1.8
2032	27	MLB MLE	DET	80%	629	563	136	23	2	25	57	174	4	16	4	243	317	428	745	185	302	28	9	329	109	+6	+2	+2	-7	+14	1.8
2033	28	MLB MLE	DET	79%	626	561	135	23	2	25	56	175	4	14	3	241	315	423	738	182	301	28	9	326	107	+5	+2	+1	-7	+14	1.5
2034	29	MLB MLE	DET	77%	617	553	132	22	2	24	55	174	4	11	3	239	312	417	730	178	300	28	9	323	105	+3	+1	+1	-7	+13	1.2
2035	30	MLB MLE	DET	76%	607	544	129	22	2	23	54	173	4	9	3	236	309	410	719	174	298	29	9	318	102	+1	+1	+0	-7	+13	0.9
2036	31	MLB MLE	DET	76%	594	534	125	21	2	22	52	172	3	6	3	232	304	400	705	168	296	29	9	313	98	-2	+0	-1	-6	+13	0.4
2037	32	MLB MLE	DET	75%	576	518	117	19	2	20	50	169	3	3	4	227	298	388	686	161	292	29	9	305	93	-5	-1	-2	-6	+12	-0.1
2038	33	MLB MLE	DET	75%	546	492	108	17	1	18	46	164	3	4	5	221	291	373	664	152	287	30	8	296	87	-9	-1	-2	-6	+12	-0.6
2028	23	MLB CTX	DET	60%	341	306	70	12	1	11	30	98	2	10	2	230	304	389	693	158	297	29	9	309	99	-0	+1	+1	-4	+7	0.6
2029	24	MLB CTX	DET	73%	435	390	93	16	2	16	39	122	3	12	3	235	310	405	714	169	298	28	9	317	105	+2	+1	+1	-5	+9	1.0
2030	25	MLB CTX	DET	78%	482	432	102	17	2	18	43	134	4	13	3	238	312	414	726	176	298	28	9	322	108	+5	+1	+2	-5	+10	1.3
2031	26	MLB CTX	DET	81%	505	451	108	18	2	20	45	139	4	13	3	239	314	419	732	180	297	28	9	324	110	+6	+1	+2	-5	+11	1.5
2032	27	MLB CTX	DET	80%	501	447	106	18	2	19	45	139	4	13	3	238	313	416	729	178	297	28	9	323	109	+5	+1	+2	-5	+11	1.4
2033	28	MLB CTX	DET	79%	496	445	106	18	2	19	45	139	3	11	3	236	311	412	723	175	296	28	9	320	107	+4	+1	+1	-5	+11	1.2
2034	29	MLB CTX	DET	77%	477	428	101	17	2	18	43	135	3	9	2	234	308	406	714	172	295	28	9	317	105	+3	+1	+1	-5	+10	1.0
2035	30	MLB CTX	DET	76%	463	416	96	16	1	17	41	132	3	7	2	231	305	399	703	167	293	29	9	312	102	+1	+1	+0	-5	+10	0.7
2036	31	MLB CTX	DET	76%	449	404	91	15	1	16	39	130	3	5	2	227	300	389	690	162	291	29	9	307	98	-1	+0	-1	-5	+10	0.3
2037	32	MLB CTX	DET	75%	434	391	87	14	1	15	38	128	2	3	3	222	294	378	672	155	287	29	9	300	93	-4	-1	-1	-5	+9	-0.1
2038	33	MLB CTX	DET	75%	410	370	80	13	1	13	35	123	2	3	3	216	287	363	650	147	282	30	9	291	87	-7	-1	-2	-4	+9	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4993	4480	1040	174	17	182	443	1419	33	99	29	232	306	400	706	168	296	28	9	313	100	+13	+8	+6	-53	+108	8.4
/ 162G	—	A+C		—	650	583	136	23	2	24	58	185	4	13	4	233	307	403	710	170	297	28	9	313	100	+2	+1	+1	-7	+14	1.1
Career	—	MLE		—	8478	7585	1787	307	26	305	761	2475	63	207	59	236	311	404	714	168	306	29	9	317	100	+14	+11	+8	-74	+150	11.2
/ 162G	—	MLE		—	650	582	137	24	2	23	58	190	5	16	5	235	311	402	713	167	306	29	9	317	100	+1	+1	+1	-7	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#2Todd Frazierlast yr '20 career totals — 10 seasons, 4,909 PA	7.4	4,909	218	73	242	319	448	+18	+35	27.6	26.2
/162	664	29	10	+2.4	+4.7	3.7	pk7: 25
#3Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24
#4Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
#5Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	7.6	5,032	191	99	238	307	413	+12	+9	17.6	15.9
/162	664	25	13	+1.5	+1.2	2.3	pk7: 14
#6Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15

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
Zyhir Hope (OGILVIE)	22	45→49	57→62	58→57	56	229/302/385	155	301	10	10	29%	9%	95	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Colby Rasmus 2008 · AA	21	45→54	53→65	54→50	47	233/303/412	180	281	20	15	25%	8%	101	+1.4	238/304/402	164	285	19	12	23%	8%	99	+1.2	243/309/466	223	315	29	3	32%	8%	116	+1.9
✕Jarred Kelenic 2021 · AA	22	45→54	54→60	53→50	43	235/291/415	180	301	21	14	29%	7%	97	+1.1	229/294/412	183	290	21	13	27%	8%	97	+1.1	230/297/414	184	294	20	15	28%	8%	99	+1.1
●Oneil Cruz 2022 · AAA	23	50→57	54→60	57→60	41	254/303/442	188	332	22	21	30%	6%	107	+1.9	239/302/430	191	317	23	20	30%	8%	104	+1.6	242/319/436	194	325	25	34	32%	10%	113	+2.0
●Chris Young 2006 · AA	22	46→48	56→60	55	47	238/309/441	203	302	22	23	28%	9%	110	+2.1	236/301/437	201	274	23	20	23%	8%	106	+1.8	238/319/427	189	288	21	17	24%	10%	111	+2.3
✕Bo Naylor 2023 · AAA	23	42→46	50→55	54→50	49	211/301/366	155	290	17	16	32%	10%	90	+0.6	217/302/391	174	272	21	10	27%	10%	96	+1.0	206/293/384	178	246	22	6	26%	10%	92	+0.5
●Matt McLain 2023 · AA	23	41→51	50→55	59→55	48	209/297/370	161	292	17	24	33%	10%	89	+0.5	248/327/426	178	332	20	21	29%	9%	113	+2.3	229/312/388	159	300	18	22	28%	9%	98	+1.1
✕Daulton Varsho 2019 · A	23	47→50	47→60	55→50	42	235/292/365	130	303	15	18	27%	6%	86	+0.3	241/303/411	170	281	19	17	21%	7%	101	+1.4	227/293/421	194	258	25	15	23%	8%	100	+1.1
●Trent Grisham 2020 · MLB	23	44→49	51→60	53→55	52	225/309/387	162	281	18	13	26%	10%	97	+1.1	234/320/411	177	288	20	14	25%	10%	107	+1.8	213/319/407	194	233	27	6	22%	13%	107	+1.3
★Pete Crow-Armstrong 2024 · MLB	22	49→53	50→65	58→60	41	242/302/404	162	326	17	28	30%	6%	99	+1.2	241/295/438	197	295	24	32	26%	6%	104	+1.6	247/308/475	228	288	29	35	25%	7%	118	+2.8
✕Graham Pauley 2024 · AA	23	50→52	52→55	53→50	48	253/317/427	174	298	20	14	22%	8%	109	+2.0	220/288/373	153	268	17	10	24%	8%	86	+0.3	202/274/352	149	245	16	9	24%	8%	75	-0.3
✕Everson Pereira 2023 · AA	22	47→49	52→55	54→50	39	232/288/405	173	334	20	16	36%	7%	93	+0.8	228/292/381	153	338	18	15	35%	7%	90	+0.6	220/292/370	150	322	19	15	35%	8%	84	+0.1
●Derek Fisher 2017 · AAA	23	46→52	49→55	55	46	225/299/371	146	316	17	20	32%	9%	90	+0.6	234/306/405	171	327	21	18	33%	9%	100	+1.3	231/307/412	181	317	23	18	33%	9%	100	+1.0
✕Austin Wells 2023 · AA	24	43→44	52→55	57→50	48	221/305/386	165	294	19	14	30%	10%	96	+1.0	218/292/386	168	268	20	8	26%	9%	91	+0.7	211/285/386	175	250	21	5	25%	8%	89	+0.4
●Josh Lowe 2022 · AAA	24	48→57	51→55	58→60	46	239/306/402	163	322	19	25	31%	9%	99	+1.3	253/309/420	167	358	18	28	32%	7%	104	+1.6	254/307/424	170	356	18	33	32%	7%	104	+1.4
●Brian Goodwin 2013 · AA	22	47→52	46→60	48→50	49	233/308/370	136	299	14	13	26%	9%	93	+0.8	220/293/335	115	302	9	13	28%	9%	79	-0.2	243/307/436	194	312	22	11	28%	8%	108	+1.1
●Jazz Chisholm Jr. 2020 · AA	22	39→49	53→60	54→60	38	203/265/376	173	304	22	14	39%	7%	79	-0.2	231/293/420	189	313	23	20	32%	7%	99	+1.2	247/318/446	199	301	28	36	27%	9%	115	+2.1
✕Brett Jackson 2012 · AAA	23	48→53	49→55	55	45	234/306/391	157	333	16	19	33%	9%	97	+1.1	195/269/331	136	331	13	17	41%	8%	70	-0.9	170/248/295	125	306	12	17	45%	8%	52	-1.5
★Gunnar Henderson 2023 · MLB	22	51→56	50→60	56→55	49	244/328/411	167	344	17	15	32%	10%	109	+2.0	260/336/467	207	319	24	16	25%	10%	125	+3.2	263/338/474	211	310	25	18	23%	9%	129	+3.8
✕Akil Baddoo 2022 · MLB	23	50→53	50	58→55	49	248/318/415	167	325	17	20	28%	9%	106	+1.8	229/307/372	143	303	14	23	27%	10%	93	+0.8	213/293/369	156	278	16	28	28%	10%	85	+0.2
✕Ceddanne Rafaela 2023 · AA	22	47→55	50→55	58→55	37	238/275/402	164	298	17	19	26%	4%	88	+0.4	245/282/399	154	307	17	23	25%	4%	90	+0.6	250/287/402	152	300	17	19	22%	4%	93	+0.8

Career Stats + Projections

Career Comps

Career Path Comps