Eric Bitonti — OGILVIE

Eric BitontiSS Wisconsin Timber Rattlers

Age 20 L/R 6'5" / 218 lbs A+ BB +10%HR +7% Svc 0.0 · Ctrl thru 2035 peak 2.4 · 2032

wRC+†59

AVG/OBP/SLG.176 / .252 / .319

PA320

HR10

SB8

K%43

BB%9

MLB%0%

Scouting · now → future

HIT

20↗31

PWR

45↗63

SPD

30↗36

FLD

35↗46

EYE

54↘45

trajectory · 10 yrs

2.8peak

2032

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	Arb-2	$0.9M	+1.9	$17M	+$16M
2031	Arb-3	$0.9M	+2.3	$21M	+$20M
2032	Ext / FA-deal	$0.9M	+2.4	$23M	+$22M
2033	Ext / FA-deal	$5M	+2.4	$24M	+$19M
2034	Ext / FA-deal	$8M	+2.3	$23M	+$15M
2035	Ext / FA-deal	$10M	+2.0	$21M	+$10M
Totals		$26M		$129M	+$103M

Career Projections (MLE)

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	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
2023	17	ROK	ACL Brewers	48	42	6	1	1	2	6	23	0	0	0	.143	.250	.357	.607	.214	.235	48	12	.222	28	-4	+0	+0	+1	+1	-0.2
2024	18	ROK	2 teams	358	318	59	14	3	12	35	142	2	12	3	.186	.270	.362	.632	.176	.281	40	10	.278	71	-12	+1	+0	+4	+10	0.3
2025	19	A	Carolina Mudcats	505	453	78	14	0	13	41	234	4	17	10	.172	.247	.289	.536	.117	.305	46	8	.240	42	-33	-1	+0	+5	+14	-1.4
▸ 2026 Season (actual · ROS · total)
2026	20	A+	Wisconsin Timber Rattlers	61	52	9	2	0	2	9	27	0	3	0	.173	.295	.327	.622	.154	.304	44	15	.261	58	-3	+1	+0	+1	+2	0.0
ROS	20	MLB	MIL	259	232	41	8	1	8	24	112	1	5	2	.177	.257	.323	.580	.147	.291	43	9	.263	60	-12	+0	-2	+3	+7	-0.3
TOT	20	MLB	MIL	320	284	50	10	1	10	33	139	1	8	2	.176	.264	.324	.588	.148	.294	43	10	.263	59	-15	+1	-2	+3	+9	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	MIL	546	486	91	17	2	18	51	219	4	11	3	.187	.270	.342	.611	.154	.290	40	9	.276	69	-19	+1	-3	+6	+15	0.0
2028	22	MLB 28%	MIL	597	531	104	19	2	22	57	232	4	11	3	.196	.279	.363	.642	.168	.295	39	10	.289	79	-14	+1	-3	+6	+17	0.7
2029	23	MLB 48%	MIL	634	562	114	21	2	25	62	241	5	11	3	.203	.288	.381	.669	.178	.298	38	10	.300	88	-9	+1	-4	+7	+18	1.3
2030	24	MLB 63%	MIL	658	582	122	22	2	28	66	245	5	11	2	.210	.296	.399	.694	.189	.299	37	10	.308	94	-4	+1	-4	+7	+19	1.9
2031	25	MLB 80%	MIL	670	591	125	22	2	30	69	248	5	10	2	.212	.299	.408	.707	.196	.301	37	10	.314	98	-1	+1	-4	+7	+19	2.3
2032	26	MLB 94%	MIL	675	594	127	23	2	31	71	250	5	9	2	.214	.303	.416	.719	.202	.302	37	11	.317	100	+0	+1	-4	+7	+19	2.4
2033	27	MLB	MIL	674	593	125	22	2	30	71	251	5	9	2	.211	.300	.406	.707	.196	.302	37	11	.317	101	+0	+1	-4	+7	+19	2.4
2034	28	MLB	MIL	668	587	124	22	2	30	71	250	5	7	1	.211	.302	.409	.711	.198	.301	37	11	.316	100	-0	+1	-5	+7	+19	2.3
2035	29	MLB	MIL	657	577	120	21	2	29	70	247	5	6	1	.208	.299	.402	.701	.194	.300	38	11	.313	98	-1	+1	-5	+7	+19	2.0
2036	30	MLB	MIL	646	567	117	21	2	28	69	245	5	5	0	.206	.298	.399	.697	.192	.298	38	11	.310	96	-3	+1	-6	+7	+18	1.8
2037	31	MLB	MIL	632	554	113	20	2	27	68	243	5	4	0	.204	.297	.394	.690	.190	.297	38	11	.307	93	-5	+1	-7	+7	+18	1.4
2038	32	MLB	MIL	613	539	109	19	2	26	65	239	4	2	0	.202	.293	.390	.682	.187	.295	39	11	.302	89	-8	+0	-7	+7	+17	1.0
2039	33	MLB	MIL	584	513	100	17	1	24	62	231	4	2	0	.195	.287	.372	.659	.177	.293	40	11	.296	85	-10	+0	-8	+6	+17	0.6
2040	34	MLB	MIL	535	470	89	15	1	21	56	216	4	2	0	.189	.281	.360	.641	.170	.290	40	10	.289	79	-12	+0	-8	+6	+15	0.1
2041	35	MLB	MIL	478	422	78	13	1	18	50	198	3	2	0	.185	.276	.348	.624	.164	.287	41	10	.281	73	-15	+0	-8	+5	+14	-0.4
2042	36	MLB	MIL	416	367	66	11	1	15	43	177	3	2	0	.180	.271	.338	.609	.158	.284	43	10	.271	66	-16	+0	-9	+4	+12	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			10853	9580	1908	342	33	437	1107	4243	78	138	34	.199	.287	.379	.666	.179	.297	39	10	.297	85	-178	+14	-90	+116	+308	17.3
/ 162G	—			650	574	114	20	2	26	66	254	5	8	2	.199	.287	.376	.663	.178	.296	39	10	.297	85	-11	+1	-5	+7	+18	1.0

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	114	+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	126	+4	+1	—	—	+4	0.8
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	201	+26	+1	—	—	+6	3.3
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	118	+10	-1	—	—	+14	2.5

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
Eric Bitonti (OGILVIE)	20	20→31	45→63	30→36	45	.176/.252/.319	.143	.289	10	5	43%	9%	57	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Nolan Gorman 2021 · A	21	40→43	48→60	43→45	37	.201/.259/.345	.145	.302	16	3	38%	6%	65	-0.7	.224/.278/.400	.176	.300	24	6	33%	7%	88	+0.9	.225/.289/.424	.199	.290	29	6	33%	8%	95	+1.2
●MJ Melendez 2019 · A	20	37→47	48→60	44→50	35	.191/.247/.335	.144	.299	15	5	40%	6%	57	-1.2	.179/.239/.336	.157	.290	19	6	43%	7%	55	-1.4	.220/.307/.417	.197	.267	25	4	27%	11%	100	+1.7
✕Abimelec Ortiz 2023 · A	21	36→39	50→60	43→40	41	.192/.265/.337	.145	.271	19	7	35%	8%	66	-0.6	.210/.271/.394	.184	.280	25	4	34%	7%	83	+0.6	.207/.272/.399	.191	.261	26	2	31%	7%	82	+0.4
✕Max Stassi 2011 · A	20	39→43	45→55	43→40	38	.194/.254/.315	.121	.302	13	5	39%	7%	55	-1.4	.211/.269/.347	.136	.289	16	4	31%	6%	69	-0.4	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
●Will Benson 2019 · A	21	30→40	47→55	47→55	44	.163/.256/.291	.128	.251	16	9	40%	10%	51	-1.7	.179/.262/.333	.154	.273	19	14	39%	10%	64	-0.8	.221/.322/.401	.180	.313	18	26	32%	12%	102	+1.4
✕Mason Martin 2019 · A	20	37→32	47→60	42→45	39	.183/.261/.313	.130	.309	16	4	43%	8%	59	-1.1	.188/.257/.369	.181	.297	23	4	42%	7%	72	-0.2	.174/.236/.364	.190	.267	24	5	43%	6%	59	-1.0
✕Albert Fabian 2023 · A	21	37→34	49→50	41→40	37	.195/.255/.340	.145	.291	18	5	38%	6%	62	-0.9	.201/.258/.341	.140	.265	17	5	30%	6%	64	-0.8	.199/.257/.331	.132	.246	16	3	26%	6%	58	-0.5
✕Dérmis Garcia 2017 · A	19	34→38	46→60	40→45	36	.170/.241/.291	.121	.303	15	3	46%	8%	44	-2.1	.182/.243/.347	.165	.292	22	5	43%	7%	59	-1.1	.183/.253/.369	.186	.280	27	8	43%	8%	67	-0.3
●Ryan McMahon 2015 · A	20	41→51	46→55	43→45	39	.206/.261/.343	.136	.298	13	6	34%	6%	65	-0.7	.230/.283/.380	.150	.335	15	7	34%	6%	84	+0.6	.230/.314/.391	.161	.298	19	6	28%	10%	98	+1.6
✕Michael Chavis 2016 · A	20	35→45	46→60	45	33	.185/.226/.311	.126	.279	13	7	38%	4%	42	-2.3	.206/.253/.358	.152	.281	18	5	33%	5%	66	-0.6	.235/.292/.438	.203	.304	29	3	32%	6%	100	+1.1
✕Roberto De La Cruz 2012 · A	20	35	48→60	37→30	30	.188/.223/.321	.132	.274	17	2	38%	3%	43	-2.2	.197/.227/.311	.114	.276	13	3	33%	3%	42	-2.3	.177/.191/.259	.083	.244	10	0	32%	1%	8	-1.9
●Trayce Thompson 2012 · A	21	34→44	49→65	45→50	35	.182/.236/.327	.145	.268	17	6	38%	6%	51	-1.7	.189/.248/.341	.152	.276	18	13	37%	6%	59	-1.1	.209/.298/.431	.221	.291	31	7	37%	10%	102	+1.1
●Nomar Mazara 2015 · AA	20	39→49	46→55	43→40	41	.201/.260/.331	.130	.277	14	3	32%	7%	62	-0.9	.235/.294/.373	.138	.289	16	2	24%	7%	86	+0.8	.249/.312/.421	.172	.290	21	3	22%	8%	99	+1.5
✕Eric Haase 2015 · A	22	39→41	48→65	42→40	38	.201/.253/.347	.146	.286	16	3	35%	6%	63	-0.9	.194/.252/.355	.161	.294	18	4	39%	6%	65	-0.7	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
✕Michael Burgess 2010 · A	21	38→42	50→55	44→45	37	.200/.258/.351	.152	.288	19	6	37%	6%	66	-0.6	.206/.269/.351	.145	.280	17	4	31%	7%	71	-0.3	.211/.258/.365	.155	.264	17	2	27%	6%	68	-0.3
✕Agustín Ramírez 2022 · A	20	37→45	43→55	44→50	39	.188/.245/.301	.113	.275	11	4	34%	6%	47	-1.9	.223/.286/.366	.143	.284	16	11	26%	8%	82	+0.5	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Isan Díaz 2017 · A	21	41→40	46→55	45	43	.207/.273/.343	.136	.289	13	8	32%	8%	70	-0.3	.201/.272/.338	.137	.290	15	8	34%	8%	69	-0.4	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Nick Weglarz 2008 · A	20	42→47	50	44→45	44	.214/.284/.368	.153	.292	19	3	32%	8%	82	+0.5	.225/.307/.378	.153	.286	17	5	26%	10%	94	+1.3	.225/.314/.383	.158	.275	17	5	24%	10%	97	+1.0
✕Brandon Allen 2006 · A	20	42→47	46→55	45→50	39	.207/.270/.333	.127	.307	14	7	36%	7%	66	-0.6	.200/.242/.345	.145	.281	17	6	34%	5%	58	-1.2	.223/.306/.403	.181	.284	22	9	28%	10%	96	+1.4
●Chris Parmelee 2008 · A	20	39→49	46→50	45	39	.197/.254/.326	.129	.287	14	6	35%	7%	58	-1.2	.208/.282/.349	.141	.290	15	4	32%	9%	76	+0.0	.250/.315/.397	.146	.295	16	1	20%	8%	100	+1.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)