Eric Bitonti — OGILVIE

Eric Bitonti1B Wisconsin Timber Rattlers

Age 20 L/R 6'5" / 218 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION513 act + 9 ros · stats below = ROS only

showingROS

wRC+†77

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%44

BB%11

BABIP303

ISO147

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$3M ctrl surplus

Tools · ContractCON 31 / POW 63

Toolsscout grade

CONTACT31

scouting grade only

POWER63

scouting grade only

EYE45

scouting grade only

SPEED36

scouting grade only

DEFENSE46

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	—	—	—
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2031	Arb-1	$2M	+0.3	$0.8M	+$0.0M (cut)
2032	Arb-2	$4M	+0.4	$1M	+$0.0M (cut)
2033	Arb-3	$5M	+0.4	$0.9M	+$0.0M (cut)
Totals		$0.9M		$3M	+$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)
2023	17	ROK	ACL Brewers	—	48	39	7	1	1	2	9	15	0	0	0	179	333	410	744	231	227	31	19	334	112	+1	+0	—	—	+1	0.2
2024	18	A	Carolina Mudcats	—	132	113	25	6	0	8	16	39	1	3	0	221	323	487	810	265	250	30	12	350	123	+4	+1	—	—	+3	0.7
2024	18	ROK	ACL Brewers	—	226	181	58	17	3	8	43	61	1	9	3	320	453	580	1.033	260	442	27	19	448	189	+24	+1	—	—	+5	3.0
2025	19	A	Carolina Mudcats	—	505	428	102	21	0	19	66	169	4	17	10	238	345	421	766	182	336	33	13	340	116	+10	-1	—	—	+11	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	ACL Brewers	—	48	42	5	1	1	1	6	22	0	0	0	119	229	262	491	143	181	46	12	217	33	-4	+0	—	—	+1	-0.3
2024	18	A MLE	Carolina Mudcats	—	132	119	18	4	0	6	10	55	1	3	0	151	223	336	559	185	203	42	8	247	53	-7	+1	—	—	+3	-0.4
2024	18	ROK MLE	ACL Brewers	—	226	199	40	10	2	6	25	88	1	9	3	201	293	362	655	161	320	39	11	294	85	-4	+1	—	—	+5	0.2
2025	19	A MLE	Carolina Mudcats	—	505	452	78	15	0	12	42	232	4	17	10	173	249	285	534	113	296	46	8	240	49	-31	-1	—	—	+11	-2.1
2023	17	ROK MLE	ACL Brewers	—	48	42	5	1	1	1	6	22	0	0	0	119	229	262	491	143	211	46	12	217	33	—	—	—	—	—	—
2023	17	ROK RAW	ACL Brewers	—	48	39	7	1	1	2	9	15	0	0	0	179	333	410	744	231	227	31	19	334	33	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	358	318	59	15	2	12	35	142	2	12	3	186	270	358	629	173	281	40	10	277	73	—	—	—	—	—	—
2024	18	ROK RAW	2 teams	—	358	294	83	23	3	16	59	100	2	12	3	282	406	544	950	262	370	28	16	412	73	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	505	452	78	15	0	12	42	232	4	17	10	173	249	285	534	113	307	46	8	240	49	—	—	—	—	—	—
2025	19	A RAW	Carolina Mudcats	—	505	428	102	21	0	19	66	169	4	17	10	238	345	421	766	182	336	33	13	340	49	—	—	—	—	—	—
2023	17	ROK MLE	ACL Brewers	—	48	42	5	1	1	1	6	22	0	0	0	119	229	262	491	143	181	46	12	217	33	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	358	318	59	15	2	12	35	142	2	12	3	186	270	358	629	173	277	40	10	277	73	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	505	454	78	15	0	12	42	232	4	17	10	172	249	284	533	112	296	46	8	240	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	ACL Brewers	—	48	42	5	1	1	1	6	22	0	0	0	119	229	262	491	143	181	46	12	217	33	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	358	318	59	15	2	12	35	142	2	12	3	186	270	358	629	173	277	40	10	277	73	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	505	454	78	15	0	12	42	232	4	17	10	172	249	284	533	112	296	46	8	240	49	—	—	—	—	—	—
YTD	20	A+ MLE	MIL	—	513	446	87	20	1	19	57	229	2	24	1	195	289	372	661	177	330	45	11	289	82	-11	+4	+0	-9	+11	-0.5
▸ 2026 season
YTD	20	A+ RAW	MIL	—	489	400	108	25	1	25	81	161	2	24	1	270	395	525	920	255	379	33	17	399	82	—	—	—	—	—	—
YTD	20	AA RAW	MIL	—	24	20	3	2	0	0	1	10	0	0	0	150	190	250	440	100	231	42	4	174	82	—	—	—	—	—	—
ROS	20	A+ MLE	MIL	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		304	44	11	282	77	-0	+0	-0	-0	+0	-0.0
TOT	20	A+ MLE	MIL	—	522	454	88	20	1	19	58	233	2	24	1	194	288	368	656	174	329	45	11	289	81	-12	+4	-0	-9	+11	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIL	35%	554	487	95	20	1	20	59	229	3	13	2	195	286	363	649	168	311	41	11	291	83	-11	+2	-2	-10	+12	-0.9
2028	22	MLB MLE	MIL	49%	598	526	107	22	1	23	63	238	4	13	2	203	293	380	674	177	313	40	11	303	92	-6	+2	-2	-11	+13	-0.4
2029	23	MLB MLE	MIL	54%	615	541	115	23	2	26	65	236	4	13	1	213	302	407	708	194	312	38	11	313	98	-1	+2	-2	-11	+13	0.2
2030	24	MLB MLE	MIL	55%	627	551	120	24	2	28	67	237	4	12	1	218	307	421	728	203	312	38	11	320	102	+2	+2	-2	-11	+14	0.5
2031	25	MLB MLE	MIL	56%	634	557	121	24	2	29	68	238	4	11	1	217	307	424	731	206	313	38	11	323	105	+4	+2	-2	-11	+14	0.6
2032	26	MLB MLE	MIL	56%	639	560	123	24	2	30	70	240	4	11	1	220	311	430	741	211	313	38	11	325	106	+5	+2	-2	-11	+14	0.7
2033	27	MLB MLE	MIL	55%	637	558	122	24	2	30	70	240	4	10	1	219	310	430	740	211	313	38	11	325	106	+5	+2	-2	-11	+14	0.7
2034	28	MLB MLE	MIL	55%	631	552	119	24	1	29	70	238	4	9	1	216	308	420	729	205	312	38	11	324	105	+4	+1	-2	-11	+14	0.6
2035	29	MLB MLE	MIL	53%	621	543	116	23	1	28	69	236	4	8	1	214	307	414	721	201	312	38	11	322	104	+3	+1	-3	-11	+13	0.4
2036	30	MLB MLE	MIL	53%	609	532	113	22	1	28	68	233	4	7	1	212	306	415	722	203	310	38	11	320	102	+2	+1	-4	-11	+13	0.1
2037	31	MLB MLE	MIL	52%	595	520	109	22	1	26	66	229	4	6	1	210	303	406	709	196	308	38	11	316	100	-0	+1	-4	-11	+13	-0.1
2038	32	MLB MLE	MIL	52%	576	504	104	20	1	25	64	224	3	5	1	206	299	399	698	192	304	39	11	311	96	-3	+1	-5	-10	+12	-0.5
2039	33	MLB MLE	MIL	56%	547	478	96	18	1	23	61	216	3	4	0	201	295	387	682	186	299	39	11	304	92	-5	+1	-6	-10	+12	-0.8
2040	34	MLB MLE	MIL	51%	499	438	85	16	1	20	55	200	3	3	0	194	288	372	660	178	293	40	11	295	86	-8	+1	-6	-9	+11	-1.2
2027	21	MLB CTX	MIL	35%	191	168	33	7	0	7	20	79	1	5	1	196	286	363	649	167	310	41	10	290	83	-4	+1	-1	-3	+4	-0.3
2028	22	MLB CTX	MIL	49%	290	255	53	11	1	12	31	115	2	6	1	208	299	400	699	192	311	40	11	302	92	-3	+1	-1	-5	+6	-0.2
2029	23	MLB CTX	MIL	54%	334	293	62	12	1	15	36	128	2	7	1	212	302	413	715	201	311	38	11	312	98	-1	+1	-1	-6	+7	0.1
2030	24	MLB CTX	MIL	55%	348	306	66	13	1	16	37	131	2	7	1	216	304	422	726	206	311	38	11	318	102	+1	+1	-1	-6	+8	0.2
2031	25	MLB CTX	MIL	56%	355	312	68	13	1	17	38	133	2	6	1	218	307	429	736	212	312	37	11	322	105	+2	+1	-1	-6	+8	0.3
2032	26	MLB CTX	MIL	56%	359	315	69	13	1	18	39	135	2	6	1	219	309	438	747	219	312	38	11	323	106	+3	+1	-1	-6	+8	0.4
2033	27	MLB CTX	MIL	55%	352	308	67	13	1	17	39	132	2	6	1	218	309	432	741	214	312	38	11	324	106	+3	+1	-1	-6	+8	0.4
2034	28	MLB CTX	MIL	55%	346	303	67	13	1	17	38	131	2	5	1	221	312	439	751	218	311	38	11	323	105	+2	+1	-1	-6	+7	0.3
2035	29	MLB CTX	MIL	53%	332	290	63	12	1	16	37	126	2	4	1	217	310	431	741	214	311	38	11	321	104	+2	+0	-2	-6	+7	0.2
2036	30	MLB CTX	MIL	53%	320	279	61	12	1	15	36	122	2	4	0	219	312	430	742	211	309	38	11	318	102	+1	+1	-2	-6	+7	0.1
2037	31	MLB CTX	MIL	52%	310	270	57	11	1	14	35	119	2	3	0	211	306	415	721	204	307	38	11	315	100	-0	+1	-2	-6	+7	-0.1
2038	32	MLB CTX	MIL	52%	299	262	55	10	1	14	33	116	2	3	0	210	303	416	719	206	303	39	11	309	96	-1	+1	-3	-5	+6	-0.2
2039	33	MLB CTX	MIL	56%	306	267	53	10	0	13	34	121	2	2	0	199	294	382	676	184	298	40	11	303	92	-3	+0	-3	-5	+7	-0.5
2040	34	MLB CTX	MIL	51%	257	226	44	8	0	11	28	103	1	2	0	195	286	376	662	181	292	40	11	294	86	-4	+0	-3	-5	+6	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4399	3854	818	158	11	202	481	1691	26	66	9	212	304	416	720	204	310	38	11	314	95	-3	+10	-22	-79	+95	0.1
/ 162G	—	A+C		—	650	569	121	23	2	30	71	250	4	10	1	213	304	418	723	206	311	38	11	314	95	-0	+1	-3	-12	+14	0.0
Career	—	MLE		—	9302	8167	1688	337	22	390	999	3634	58	154	27	207	298	397	694	190	309	39	11	308	95	-11	+19	-42	-150	+182	-0.3
/ 162G	—	MLE		—	650	571	119	24	2	27	70	254	4	11	2	208	300	399	699	191	313	39	11	308	95	-1	+2	-3	-12	+14	-0.0

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
#2Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28
#3Todd 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
#4Evan Gattislast yr '18 career totals — 6 seasons, 2,662 PA	4.0	2,662	139	3	248	300	476	+30	+20	17.0	17.0
/162	664	35	1	+7.6	+4.9	4.2	pk7: 17
#5Rougned 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	6.6	4,402	193	66	212	300	410	+45	-11	17.4	14.4
/162	664	29	10	+6.8	-1.7	2.6	pk7: 11
#6Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13

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
Eric Bitonti (OGILVIE)	20	20→31	45→63	30→36	45	186/275/346	160	304	11	11	42%	10%	77	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Nolan Gorman 2019 · A	19	43	54→60	38→45	41	219/282/393	174	319	23	4	37%	8%	88	+0.5	203/256/343	140	302	16	4	36%	6%	68	-1.0	216/289/434	218	283	32	7	35%	9%	100	+1.1
✕Abimelec Ortiz 2023 · A	21	36→40	50→55	43→40	40	192/263/338	146	272	19	7	36%	7%	70	-0.9	212/273/389	177	283	23	4	33%	7%	85	+0.2	209/275/391	181	265	24	2	30%	7%	83	+0.1
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Max Stassi 2011 · A	20	38→43	44→55	43→40	36	188/246/302	115	306	13	4	41%	7%	54	-2.0	212/268/347	135	291	16	4	31%	6%	73	-0.6	215/301/376	160	280	21	0	29%	10%	91	+0.3
✕Isan Díaz 2017 · A	21	42→41	47→55	45	43	209/274/349	140	296	13	8	33%	8%	75	-0.5	202/272/339	137	292	15	8	34%	8%	72	-0.7	206/286/370	164	268	21	5	30%	9%	80	-0.1
●Ryan McMahon 2015 · A	20	42→52	46→55	43→45	39	208/265/341	134	306	12	6	35%	6%	70	-0.8	232/285/381	149	336	14	7	33%	6%	86	+0.3	230/313/394	163	297	19	6	28%	10%	99	+1.3
✕Albert Fabian 2023 · A	21	36→45	49→50	40→45	36	192/252/337	145	289	18	5	39%	6%	65	-1.2	202/259/338	136	267	16	5	30%	6%	68	-1.0	218/273/337	119	267	13	8	23%	6%	71	-0.3
✕Nomar Mazara 2015 · AA	20	41→51	46→55	43→40	42	207/268/335	128	286	13	3	32%	7%	70	-0.9	244/303/380	136	299	16	2	23%	7%	93	+0.8	252/315/424	173	294	21	3	22%	8%	100	+1.2
✕Brandon Allen 2006 · A	20	41→47	46→55	45→50	39	205/269/333	128	304	14	7	36%	7%	70	-0.8	203/247/346	143	288	16	6	34%	5%	64	-1.3	223/306/403	180	284	21	9	28%	10%	97	+1.0
✕Rudy van Heydoorn 2009 · A	20	39	43→45	42→50	48	193/294/300	106	278	11	10	32%	10%	73	-0.6	183/264/287	104	286	10	6	37%	8%	58	-1.7	153/236/254	101	237	11	2	38%	9%	40	-0.9
✕Iverson Leonardo 2022 · A	20	41	44→50	47→50	41	198/276/319	121	305	10	9	36%	8%	70	-0.9	189/268/291	102	310	9	8	39%	8%	61	-1.5	158/247/253	95	261	8	8	39%	9%	43	-0.7
✕Eric Haase 2015 · A	22	38→42	48→60	42→40	37	197/247/340	144	288	16	3	37%	6%	63	-1.3	192/249/351	159	292	17	4	39%	6%	67	-1.1	217/276/424	207	286	30	2	35%	7%	91	+0.5
●Jay Bruce 2006 · A	19	41→51	46→65	42→50	39	205/258/335	129	297	14	8	35%	6%	65	-1.2	243/288/416	173	325	18	9	29%	6%	96	+1.0	254/334/470	216	299	27	7	24%	10%	115	+2.5
✕Roberto De La Cruz 2012 · A	20	35	49→60	38→30	30	191/226/334	143	269	18	2	37%	3%	54	-2.0	197/227/306	109	284	12	3	34%	3%	47	-2.5	171/186/251	80	246	10	0	35%	1%	15	-2.1
✕Michael Burgess 2010 · A	21	38→42	49→50	44→45	37	199/258/346	148	290	18	7	37%	6%	69	-0.9	207/271/350	143	279	16	4	30%	7%	74	-0.5	213/261/361	148	264	15	2	25%	6%	72	-0.5
✕Nick Weglarz 2008 · A	20	43→47	50	44→45	46	218/295/370	152	303	18	3	33%	9%	88	+0.5	224/308/371	147	285	16	5	25%	10%	93	+0.8	221/310/371	150	271	15	5	23%	10%	93	+0.6
●Mike Carp 2006 · A	20	39→49	52→55	44→40	38	209/283/371	162	286	22	4	34%	6%	85	+0.2	233/304/366	133	295	15	3	25%	7%	91	+0.7	260/323/444	184	320	22	4	25%	8%	113	+1.5
✕Joe Mack 2023 · A	20	42→43	43→55	46→45	50	197/299/302	105	318	11	4	38%	12%	75	-0.5	201/265/313	112	282	13	3	32%	7%	64	-1.3	212/275/370	158	272	21	4	30%	7%	79	-0.2
✕Brian Sanchez 2017 · A	21	42	49→60	46→45	38	211/273/359	147	309	16	4	36%	6%	77	-0.3	193/245/302	109	300	10	4	37%	6%	53	-2.1	135/188/204	69	221	4	0	39%	6%	7	-1.0
✕Sam Huff 2018 · A	20	40	44→55	46→45	37	195/255/311	116	314	12	4	40%	7%	59	-1.6	193/236/327	134	312	16	6	42%	4%	56	-1.9	214/277/388	174	309	26	1	38%	7%	83	+0.0

Career Stats + Projections

Career Comps

Career Path Comps