Robbie Burnett — OGILVIE

Robbie BurnettOF Hudson Valley Renegades

Age 23 L/R 5'8" / 191 lbs A+ HR +14% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION177 act + 17 ros · stats below = ROS only

showingROS

wRC+†70

AVG/OBP/SLG.200 / .294 / .267

PA17

HR0

K%35

BB%12

BABIP288

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	22	A+	Hudson Valley Renegades	—	42	34	6	0	0	1	6	14	1	1	0	176	317	265	582	88	250	33	14	274	72	-1	+0	—	—	+1	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Hudson Valley Renegades	—	42	36	5	0	0	1	4	19	1	1	0	139	244	222	466	83	229	45	10	209	28	-4	+0	—	—	+1	-0.3
2025	22	A+ MLE	Hudson Valley Renegades	—	42	36	5	0	0	1	4	19	1	1	0	139	244	222	466	83	235	45	10	209	28	—	—	—	—	—	—
2025	22	A+ RAW	Hudson Valley Renegades	—	42	34	6	0	0	1	6	14	1	1	0	176	317	265	582	88	250	33	14	274	28	—	—	—	—	—	—
2025	22	A+ MLE	Hudson Valley Renegades	—	42	37	5	0	0	1	4	19	1	1	0	135	244	216	460	81	229	45	10	209	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A+ MLE	Hudson Valley Renegades	—	42	37	5	0	0	1	4	19	1	1	0	135	244	216	460	81	229	45	10	209	28	—	—	—	—	—	—
YTD	23	A+ MLE	NYY	—	177	153	26	6	0	4	22	70	1	6	0	170	278	288	566	118	275	40	12	259	61	-8	+1	+0	-1	+4	-0.4
▸ 2026 season
YTD	23	ROK RAW	NYY	—	22	19	7	2	0	3	2	5	1	0	0	368	455	947	1.402	579	364	23	9	580	61	—	—	—	—	—	—
YTD	23	A+ RAW	NYY	—	155	123	26	6	0	3	31	47	0	6	0	211	370	333	703	122	311	30	20	329	61	—	—	—	—	—	—
ROS	23	A+ MLE	NYY	0%	17	15	3	1	0	0	2	6	0	0	0	200	294	267	561	67	286	35	12	272	70	-1	+0	+0	-0	+0	-0.0
TOT	23	A+ MLE	NYY	—	194	168	29	7	0	4	24	76	1	6	0	173	280	286	566	113	281	39	12	260	62	-9	+1	+0	-1	+4	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	NYY	30%	199	176	36	7	1	4	19	63	2	3	1	205	289	324	613	119	287	32	10	281	76	-6	+0	+0	-1	+4	-0.2
2028	25	MLB MLE	NYY	44%	289	257	53	10	1	7	28	89	2	5	1	206	289	335	624	128	288	31	10	286	79	-7	+1	+0	-2	+6	-0.2
2029	26	MLB MLE	NYY	51%	351	311	66	13	1	9	34	107	3	6	1	212	296	347	643	135	288	30	10	289	81	-8	+1	+0	-2	+8	-0.1
2030	27	MLB MLE	NYY	52%	382	339	71	14	1	9	37	115	3	6	1	209	293	336	629	127	288	30	10	290	82	-8	+1	+0	-2	+8	-0.1
2031	28	MLB MLE	NYY	53%	400	354	75	14	2	10	39	121	4	6	1	212	297	347	645	136	287	30	10	288	81	-9	+1	-1	-2	+9	-0.3
2027	24	MLB CTX	NYY	30%	60	54	10	2	0	1	6	19	0	1	0	185	267	278	544	93	289	32	10	278	76	-2	+0	+0	-0	+1	-0.1
2028	25	MLB CTX	NYY	44%	128	114	25	5	1	3	12	39	1	2	0	219	299	360	659	140	290	30	9	283	79	-3	+0	+0	-1	+3	-0.1
2029	26	MLB CTX	NYY	51%	178	157	35	7	1	5	17	54	2	3	0	223	307	376	683	153	290	30	10	286	81	-4	+1	+0	-1	+4	-0.1
2030	27	MLB CTX	NYY	52%	200	177	38	7	1	5	19	60	2	3	0	215	298	350	648	136	290	30	10	287	82	-4	+1	+0	-1	+4	-0.1
2031	28	MLB CTX	NYY	53%	213	188	41	8	1	6	21	65	2	3	1	218	303	367	670	149	289	31	10	286	81	-5	+0	-0	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	779	690	149	29	4	20	75	237	7	12	1	216	299	357	656	141	295	30	10	286	79	-18	+2	-0	-5	+17	-0.4
/ 162G	—	A+C		—	650	576	124	24	3	17	63	198	6	10	1	215	300	356	656	141	294	30	10	286	79	-15	+2	-0	-4	+14	-0.3
Career	—	MLE		—	1680	1488	309	59	6	40	163	520	15	27	5	208	292	336	628	128	287	31	10	285	79	-38	+3	-1	-10	+35	-1.0
/ 162G	—	MLE		—	650	576	119	23	2	15	63	201	6	10	2	207	291	332	623	125	287	31	10	285	79	-15	+1	-0	-4	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Dustin 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
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.2	780	19	12	212	292	344	-5	+0	0.1	0.1
/162	664	16	10	-4.0	+0.0	0.1	pk7: 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
Robbie Burnett (OGILVIE)	23	—	—	—	—	197/282/309	112	286	2	2	33%	10%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Imanol Vargas 2021 · A	23	44→43	45→50	46→45	46	211/291/336	125	311	13	8	34%	10%	78	-0.3	206/287/361	155	334	19	4	40%	10%	83	+0.1	204/288/352	148	322	17	2	39%	10%	80	-0.1
✕Chris Meyers 2022 · A	23	40→45	41→50	51→40	45	197/267/298	101	259	8	11	26%	7%	61	-1.5	220/278/357	137	292	15	6	29%	6%	79	-0.2	222/283/366	144	287	17	3	28%	6%	80	-0.1
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Brian O'Grady 2015 · A	23	39→38	43→55	54→50	47	196/261/312	115	255	9	8	26%	8%	61	-1.5	190/272/302	112	268	10	14	30%	10%	64	-1.3	208/271/384	177	275	20	15	31%	7%	81	-0.0
✕Parker Meadows 2023 · AA	23	40→47	48→55	52→55	43	209/268/351	142	267	16	12	28%	7%	74	-0.6	223/290/379	156	286	16	20	27%	8%	88	+0.4	222/295/383	161	284	16	22	27%	9%	88	+0.4
✕Caleb Roberts 2023 · AA	23	40→46	42→50	50	42	193/272/298	105	296	9	12	35%	8%	63	-1.3	208/283/336	128	298	11	11	32%	8%	76	-0.4	203/278/333	131	282	12	10	30%	8%	71	-0.6
✕Jordan Patterson 2015 · A	23	43→49	43→50	48→50	40	213/276/317	104	284	11	13	28%	6%	69	-0.9	224/283/367	143	309	13	11	31%	5%	83	+0.1	221/280/376	155	306	15	9	31%	5%	81	-0.0
✕Matthew Sweeney 2011 · AA	23	42→40	44→50	48→45	41	205/265/320	115	290	11	4	32%	7%	65	-1.2	186/248/292	106	267	9	4	32%	7%	53	-2.1	153/220/256	104	215	9	1	32%	7%	31	-1.3
✕Chris Pieters 2018 · A	23	45	40→45	51→55	44	215/280/315	101	289	7	13	27%	7%	69	-0.9	208/260/300	92	298	6	11	30%	6%	58	-1.7	173/207/222	50	261	0	15	32%	4%	18	-0.8
✕Alexander Ovalles 2023 · AA	22	43→42	46→50	46→50	45	217/283/344	127	282	13	8	27%	8%	78	-0.3	214/280/320	106	310	10	11	32%	8%	71	-0.8	175/252/223	48	291	3	15	38%	9%	35	-0.7
✕Jose Brizuela 2016 · A	23	42→39	44→50	50→45	45	207/273/328	121	277	11	7	28%	8%	70	-0.8	210/268/335	125	296	14	5	32%	7%	70	-0.9	191/245/320	130	262	17	1	34%	6%	56	-0.8
✕Drew Robinson 2014 · A	22	43→42	43→55	49→50	46	207/288/323	116	304	10	8	33%	9%	75	-0.5	192/266/331	139	282	14	11	35%	9%	69	-0.9	208/288/362	155	321	16	12	38%	10%	81	-0.0
✕Isan Díaz 2019 · AAA	23	40→41	46→55	50→45	43	199/269/329	130	288	13	10	34%	8%	70	-0.9	212/283/357	145	286	16	6	30%	8%	81	-0.1	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Zach DeLoach 2022 · AA	23	45→51	46→45	45→50	43	222/287/358	136	309	13	7	31%	7%	82	-0.0	225/299/349	124	322	13	8	31%	9%	84	+0.2	223/301/339	116	322	12	10	32%	9%	81	-0.1
✕Anthony Seigler 2022 · A	23	41→39	42→45	44→55	45	197/273/305	109	295	9	6	34%	9%	65	-1.2	191/295/300	109	252	10	15	26%	12%	73	-0.6	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Jeisson Rosario 2023 · AA	23	45→49	42→45	47→50	49	215/293/323	108	288	9	12	27%	9%	76	-0.4	209/293/310	101	310	9	12	32%	10%	74	-0.6	195/287/283	88	301	8	12	34%	11%	63	-0.8
✕Kyler Fedko 2023 · A	23	43→42	42→50	51→55	47	210/284/319	109	280	9	10	27%	8%	72	-0.7	203/288/320	117	266	12	14	26%	10%	74	-0.5	197/276/341	144	245	18	22	27%	9%	73	-0.4
✕Brock Lundquist 2019 · A	23	45→44	47→50	48→45	42	226/292/358	133	301	15	4	29%	6%	84	+0.2	204/267/313	109	297	11	6	33%	7%	65	-1.2	178/244/272	94	268	9	6	35%	7%	44	-1.3
✕Byron Wiley 2010 · A	23	45→44	46→45	47→45	47	214/297/351	137	324	12	7	35%	10%	84	+0.2	214/290/337	123	332	13	8	36%	9%	78	-0.3	180/264/286	106	281	17	8	40%	9%	56	-0.6
✕Nicky Delmonico 2015 · A	23	40→47	47→50	46→45	43	206/271/340	134	280	15	8	31%	7%	72	-0.7	225/282/366	141	294	13	6	27%	7%	82	-0.0	230/299/381	151	284	16	4	24%	8%	89	+0.4

Career Stats + Projections

Career Comps

Career Path Comps