Jonny McGill — OGILVIE

Jonny McGillOF Rancho Cucamonga Quakes

Age 24 L/R 5'11" / 210 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION344 act + 10 ros · stats below = ROS only

showingROS

wRC+†92

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP296

ISO121

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$8M ctrl surplus

Tools · ContractCON 43 / POW 40

Toolsscout grade

CONTACT43

scouting grade only

POWER40

scouting grade only

EYE61

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.8M	+$0.0M

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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	24	A MLE	LAA	—	344	296	69	11	2	6	40	88	8	20	6	233	340	345	685	111	312	26	12	306	93	-3	+2	+0	-2	+7	0.4
▸ 2026 season
YTD	24	A RAW	LAA	—	291	232	66	11	1	6	52	53	7	19	6	284	430	418	848	134	347	18	18	389	93	—	—	—	—	—	—
YTD	24	A+ RAW	LAA	—	53	46	11	3	1	1	6	12	1	1	0	239	340	413	753	174	303	23	11	338	93	—	—	—	—	—	—
ROS	24	A MLE	LAA	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		297	30	10	305	92	-0	+0	+0	-0	+0	0.0
TOT	24	A MLE	LAA	—	354	305	70	11	2	6	41	91	8	20	6	230	336	338	674	108	308	26	12	306	93	-3	+2	+0	-2	+8	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	LAA	30%	454	396	90	16	2	9	48	116	7	11	3	227	322	346	667	119	295	26	11	306	94	-3	+1	+0	-3	+10	0.5
2028	26	MLB MLE	LAA	44%	490	428	99	17	3	11	52	124	7	11	3	231	324	362	687	131	295	25	11	308	95	-3	+1	+0	-3	+11	0.6
2029	27	MLB MLE	LAA	49%	529	461	107	19	3	12	56	133	7	12	3	232	324	364	689	132	294	25	11	309	95	-3	+1	+0	-3	+11	0.7
2030	28	MLB MLE	LAA	51%	571	498	115	20	3	13	60	144	8	12	3	231	323	361	685	131	294	25	11	308	95	-4	+1	-1	-3	+12	0.6
2031	29	MLB MLE	LAA	51%	580	505	115	20	3	13	62	147	8	12	3	228	322	356	678	129	293	25	11	306	94	-4	+1	-1	-3	+13	0.5
2032	30	MLB MLE	LAA	51%	576	502	114	20	3	12	61	148	8	12	3	227	320	351	671	124	292	26	11	304	92	-6	+1	-2	-3	+12	0.2
2033	31	MLB MLE	LAA	56%	566	493	109	19	2	11	60	147	8	11	3	221	316	335	650	114	289	26	11	300	89	-8	+1	-3	-3	+12	-0.0
2027	25	MLB CTX	LAA	30%	137	119	28	5	1	3	15	35	2	3	1	235	331	370	701	134	295	26	11	296	94	-1	+0	+0	-1	+3	0.1
2028	26	MLB CTX	LAA	44%	216	188	44	8	1	5	23	54	3	5	1	234	327	367	694	133	294	25	11	298	95	-1	+1	+0	-1	+5	0.3
2029	27	MLB CTX	LAA	49%	259	226	52	9	1	6	27	65	4	6	2	230	323	358	681	128	294	25	10	299	95	-1	+0	+0	-2	+6	0.3
2030	28	MLB CTX	LAA	51%	294	257	58	10	1	7	31	74	4	6	2	226	318	354	673	128	293	25	11	298	95	-2	+0	-0	-2	+6	0.3
2031	29	MLB CTX	LAA	51%	299	261	59	10	1	7	32	76	4	6	2	226	320	352	672	126	292	25	11	296	94	-2	+0	-1	-2	+6	0.2
2032	30	MLB CTX	LAA	51%	297	259	58	10	1	6	32	76	4	6	2	224	319	340	658	116	291	26	11	294	92	-3	+0	-1	-2	+6	0.1
2033	31	MLB CTX	LAA	56%	315	274	62	11	1	7	34	82	4	6	2	226	321	350	671	124	288	26	11	290	89	-4	+0	-2	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1817	1584	361	63	7	41	194	462	25	38	12	228	322	354	676	126	294	25	11	296	93	-15	+3	-4	-11	+39	1.3
/ 162G	—	A+C		—	650	567	130	23	3	15	69	165	9	14	4	229	322	360	682	131	295	25	11	296	93	-5	+1	-1	-4	+14	0.5
Career	—	MLE		—	3776	3292	750	131	19	81	400	962	53	81	21	228	321	353	674	125	295	25	11	306	93	-31	+8	-7	-23	+82	3.0
/ 162G	—	MLE		—	650	567	129	23	3	14	69	166	9	14	4	228	321	353	674	125	295	26	11	306	93	-5	+1	-1	-4	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Will 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
#2Desmond 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
#3Michael 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
#4Gregory 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
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.2	2,136	45	46	227	316	352	-13	+0	2.9	2.8
/162	664	14	14	-4.0	+0.0	0.9	pk7: 3

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
Jonny McGill (OGILVIE)	24	43	40	55	61	224/322/341	116	297	6	12	26%	11%	92	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tucker Bradley 2022 · A	24	48→53	41→45	54→50	46	227/299/335	107	310	8	11	28%	8%	81	-0.1	243/306/369	126	316	11	15	25%	8%	91	+0.7	250/313/384	134	318	12	17	24%	8%	95	+0.6
✕Richie Palacios 2021 · A	24	47→53	45	52→55	43	234/285/355	121	299	12	11	26%	6%	80	-0.1	242/318/366	124	297	9	18	20%	9%	95	+1.0	240/320/367	128	284	10	17	18%	9%	94	+0.6
✕Matthew Acosta 2022 · A	24	45	43→45	53→50	47	217/290/334	118	298	10	9	29%	9%	78	-0.3	205/272/314	109	298	10	13	32%	8%	67	-1.1	179/250/276	97	261	10	16	34%	8%	48	-1.5
✕Terrin Vavra 2021 · A	24	47→48	43→45	47→50	49	230/289/341	110	276	10	12	20%	8%	78	-0.3	246/322/355	109	321	8	11	24%	9%	94	+0.9	258/340/363	104	339	6	11	23%	9%	99	+0.5
✕Logan Vick 2014 · A	23	48	41→45	51→50	54	226/318/331	106	305	7	15	26%	12%	88	+0.4	195/285/290	95	293	7	13	32%	11%	66	-1.1	147/250/227	80	231	5	13	35%	11%	38	-2.1
✕Spencer Packard 2022 · A	24	45→52	44→45	51→40	46	221/287/336	115	264	12	7	21%	6%	77	-0.3	237/308/366	129	282	14	5	20%	8%	92	+0.7	242/318/366	125	285	13	3	19%	8%	93	+0.6
✕Joe McCarthy 2017 · A	23	48→50	42→45	51→50	51	231/315/339	108	292	9	14	23%	9%	88	+0.5	219/305/338	119	289	9	12	25%	10%	84	+0.2	199/280/346	148	264	17	5	30%	9%	76	-0.2
✕Jeff Corsaletti 2007 · A	24	50→52	43→45	46→50	53	243/320/360	117	299	10	9	21%	10%	95	+0.9	236/314/344	108	289	8	11	20%	10%	88	+0.5	231/311/335	103	279	7	11	18%	9%	83	+0.1
✕Sherman Johnson 2015 · A	25	47→50	46→45	52→50	51	233/309/366	133	288	12	13	23%	9%	92	+0.7	205/284/311	106	257	9	15	22%	10%	70	-0.8	202/277/291	89	276	6	11	27%	9%	60	-0.9
✕Ka'ai Tom 2018 · A	24	45→48	43→50	52→50	46	220/282/340	120	279	10	15	24%	7%	76	-0.4	228/291/380	152	293	15	10	26%	7%	88	+0.5	214/288/369	154	277	16	7	28%	7%	83	+0.1
✕Cal Towey 2014 · A	24	50→49	45	53→50	54	233/343/370	136	320	11	10	28%	12%	106	+1.8	218/297/326	108	326	9	13	33%	8%	79	-0.2	209/288/314	105	319	9	14	34%	8%	71	-0.7
✕Dean Anna 2011 · A	24	44→54	43→45	50→45	50	215/286/327	113	265	10	7	23%	9%	75	-0.5	237/309/352	115	276	9	6	17%	8%	88	+0.5	248/320/361	114	286	9	4	16%	8%	94	+0.7
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
●Tyler Black 2023 · A	23	47→52	41→50	50→60	54	222/318/324	102	296	7	14	25%	11%	86	+0.3	235/326/374	139	303	12	30	24%	10%	100	+1.3	232/326/372	140	301	12	35	25%	10%	97	+0.8
✕River Town 2023 · A	24	40→38	45→40	55→50	46	202/283/328	125	257	12	15	26%	8%	75	-0.5	216/303/308	92	269	8	14	21%	9%	78	-0.3	215/312/285	70	264	6	15	19%	9%	74	-0.3
✕Kevin Watson Jr 2023 · A	24	45	46→50	56→50	47	212/305/344	132	321	13	13	35%	10%	86	+0.3	228/305/311	83	317	5	10	27%	9%	78	-0.3	243/324/290	48	330	0	8	24%	10%	79	-0.1
✕Brett Harris 2022 · A	24	44→52	44→45	49→50	43	218/288/335	117	294	12	11	29%	7%	78	-0.3	241/313/376	135	292	15	10	22%	8%	96	+1.0	238/318/367	129	288	14	9	21%	8%	93	+0.6
✕Brian Dinkelman 2008 · A	24	47→55	44→45	54→50	48	230/293/354	124	272	11	10	20%	7%	83	+0.1	240/300/349	109	284	7	8	17%	6%	84	+0.2	243/300/345	103	287	6	7	17%	6%	82	-0.0
✕Brett Nommensen 2011 · A	24	46	43→40	55	49	225/294/340	114	268	11	21	20%	8%	80	-0.1	238/313/336	98	293	7	16	20%	8%	86	+0.3	243/325/333	89	301	5	16	19%	8%	90	+0.3
✕Quincy Hamilton 2022 · A	24	46	40→50	51→50	46	220/296/311	91	301	8	15	28%	8%	75	-0.5	221/301/359	138	285	15	14	26%	9%	88	+0.4	208/293/354	146	263	17	14	27%	9%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps