Logan Poteet

C Myrtle Beach Pelicans

Age 23 R/R 6'1" / 215 lbs A HR -8% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#350ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	A+/INTL2 orgs	37	.167/.189/.306	1	0	8	—	.118/.118/.294
2026	22	A+/ACHC	386	.265/.377/.528	21	1	79	—	.196/.280/.377
2027PROJMLE	23	MLBCHC	457	.213/.292/.383	16	5	89	0.8
2028PROJ30% MLB	24	MLBCHC	90	.217/.295/.386	3	1	91	0.3
2029PROJ48% MLB	25	MLBCHC	167	.219/.297/.389	6	1	93	0.6

Next 3 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

ISO89

wOBA68

wRC+65

BB%52

Chase%33

Z-Con%22

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsKyle Wilson (age 23) · Marcos Castañon (age 24) · Michael McKenry (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†89

AVG/OBP/SLG.211 / .290 / .379

PA210

HR7

K%32

BB%9

ISO169

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$35M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$0.7M	+0.1	$0.2M	+$0.0M (cut)
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$6M	+$4M

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 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	21	A+	South Bend Cubs	—	17	17	3	0	0	1	0	8	0	0	0	176	176	353	529	176	250	47	0	229	-14	—	—	—	—	—	—
2025	21	INTL	Mesa Solar Sox	—	20	19	3	2	0	0	1	6	0	0	0	158	200	263	463	105	231	30	5	209	27	—	—	—	—	—	—
2026	22	A+	South Bend Cubs	—	152	133	34	12	0	7	18	53	0	0	0	256	344	504	848	248	365	35	12	369	72	—	—	—	—	—	—
2026	22	A	Myrtle Beach Pelicans	—	234	191	52	8	1	14	38	74	2	1	0	272	398	545	943	272	358	32	16	407	84	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	South Bend Cubs	—	17	17	2	0	0	1	0	10	0	0	0	118	118	294	412	176	220	59	0	147	-14	—	—	—	—	—	—
2026	22	A+ MLE	South Bend Cubs	—	152	138	27	9	0	5	13	67	0	0	0	196	265	370	634	174	321	44	9	274	72	—	—	—	—	—	—
2026	22	A MLE	Myrtle Beach Pelicans	—	234	204	40	6	1	10	25	101	2	1	0	196	290	382	672	186	298	43	11	293	84	—	—	—	—	—	—
2025	21	INTL MLE	2 teams	—	37	37	4	0	0	1	0	21	0	0	0	108	108	189	297	81	200	57	0	147	-14	—	—	—	—	—	—
2025	21	INTL RAW	2 teams	—	37	36	6	2	0	1	1	14	0	0	0	167	189	306	495	139	238	38	3	218	-14	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	386	342	67	15	1	15	38	168	2	1	0	196	280	377	657	181	319	44	10	286	79	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	386	324	86	20	1	21	56	127	2	1	0	265	377	528	905	262	361	33	15	392	79	—	—	—	—	—	—
2025	21	INTL MLE	2 teams	—	37	37	4	0	0	1	0	21	0	0	0	108	108	189	297	81	220	57	0	147	-14	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	386	343	67	15	1	15	38	168	2	1	0	195	280	376	656	181	307	44	10	286	79	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	INTL MLE	2 teams	—	37	37	4	0	0	1	0	21	0	0	0	108	108	189	297	81	220	57	0	147	-14	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	386	343	67	15	1	15	38	168	2	1	0	195	280	376	656	181	307	44	10	286	79	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CHC	0%	457	409	86	16	2	16	42	145	3	5	1	213	292	383	675	169	283	32	9	300	89	-6	+1	+2	+8	+10	0.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CHC	30%	294	263	57	11	1	11	27	92	2	3	1	216	295	387	682	171	284	31	9	303	91	-3	+0	+1	+5	+6	1.0
2029	25	MLB MLE	CHC	48%	348	311	68	13	2	12	32	107	2	3	1	218	297	389	686	171	285	31	9	305	93	-3	+0	+1	+6	+8	1.3
2030	26	MLB MLE	CHC	58%	377	336	74	14	2	13	35	114	3	3	1	219	298	390	688	171	285	30	9	306	93	-3	+0	+2	+7	+8	1.4
2031	27	MLB MLE	CHC	62%	390	348	77	14	2	14	36	117	3	3	1	219	298	388	686	169	284	30	9	305	93	-3	+0	+2	+7	+8	1.4
2032	28	MLB MLE	CHC	65%	391	349	76	14	2	13	36	117	3	2	1	219	297	385	681	166	284	30	9	303	91	-4	+0	+1	+7	+8	1.3
2033	29	MLB MLE	CHC	64%	383	342	75	14	2	13	35	115	3	2	1	216	294	378	672	162	282	30	9	300	89	-5	+0	+0	+7	+8	1.1
2034	30	MLB MLE	CHC	64%	374	335	70	13	1	12	34	114	2	1	2	213	290	370	660	157	280	30	9	295	86	-6	-1	-0	+7	+8	0.8
2035	31	MLB MLE	CHC	64%	342	306	64	12	1	11	31	105	2	2	2	209	285	360	646	151	276	31	9	289	82	-7	-0	-1	+6	+7	0.4
2036	32	MLB MLE	CHC	64%	303	271	55	10	1	9	27	95	2	2	2	204	279	348	627	144	272	31	9	281	76	-8	-0	-2	+5	+7	0.1
2028	24	MLB CTX	CHC	30%	90	81	16	3	0	3	8	28	1	1	0	217	295	386	682	169	287	31	9	303	91	-1	+0	+0	+2	+2	0.3
2029	25	MLB CTX	CHC	48%	167	149	33	6	1	6	15	51	1	1	0	219	297	389	686	170	288	31	9	305	93	-1	+0	+1	+3	+4	0.6
2030	26	MLB CTX	CHC	58%	220	196	43	8	1	8	20	67	2	2	0	220	298	389	688	169	288	30	9	306	93	-2	+0	+1	+4	+5	0.8
2031	27	MLB CTX	CHC	62%	242	216	47	9	1	8	22	73	2	2	1	220	298	388	686	167	287	30	9	305	93	-2	+0	+1	+4	+5	0.9
2032	28	MLB CTX	CHC	65%	253	226	49	10	1	8	23	76	2	1	1	220	298	384	681	164	287	30	9	303	91	-3	-0	+1	+5	+5	0.8
2033	29	MLB CTX	CHC	64%	247	220	48	9	1	8	23	74	2	1	1	217	295	377	672	160	285	30	9	300	89	-3	-0	+0	+4	+5	0.7
2034	30	MLB CTX	CHC	64%	240	214	46	9	1	7	22	73	2	1	1	214	291	369	660	155	283	30	9	295	86	-4	-0	-0	+4	+5	0.5
2035	31	MLB CTX	CHC	64%	219	196	42	8	1	7	20	68	1	1	2	210	286	359	645	150	279	31	9	289	82	-5	-1	-1	+4	+5	0.2
2036	32	MLB CTX	CHC	64%	194	174	37	7	1	6	17	61	1	1	1	204	280	347	626	142	275	31	9	281	76	-5	-0	-1	+3	+4	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1872	1672	361	69	8	61	170	571	14	11	7	216	294	376	670	160	286	31	9	299	87	-26	-1	+1	+33	+41	4.9
/ 162G	—	A+C		—	650	581	125	24	3	21	59	198	5	4	2	215	293	375	669	160	285	30	9	299	87	-9	-0	+0	+12	+14	1.7
Career	—	MLE		—	3835	3428	727	138	16	131	350	1232	25	24	13	212	290	376	666	164	286	32	9	296	87	-47	-1	+4	+61	+74	9.4
/ 162G	—	MLE		—	650	581	123	23	3	22	59	209	4	4	2	212	289	375	664	164	285	32	9	296	87	-9	-0	+1	+12	+14	1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AMyrtle Beach Pelicans · 234 PAwOBA .400 → .293 (−107)K% 31.6% → 43.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.62%	÷1.000	×1.360	—	—	43.01%
BB% (unintentional) /PA	15.81%	÷1.000	×0.690	—	×0.990	10.80%
HBP% /PA	0.85%	—	×0.780	—	×0.990	0.66%
Singles /BIP	24.79%	÷1.000	×0.920	×0.960	×0.990	21.68%
Doubles /BIP	6.84%	÷1.000	×0.830	×0.960	×0.990	5.39%
Triples /BIP	0.85%	÷1.000	×0.910	×0.960	×0.990	0.74%
Home runs /BIP	11.97%	÷1.000	×0.800	—	×0.990	9.48%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .400 → .293; ISO .272 → .197; BABIP .358 → .298. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+South Bend Cubs · 152 PAwOBA .362 → .274 (−88)K% 34.9% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.87%	÷1.000	×1.270	—	—	44.28%
BB% (unintentional) /PA	11.84%	÷1.000	×0.710	—	×0.998	8.39%
HBP% /PA	0.00%	—	×0.790	—	×0.998	0.00%
Singles /BIP	18.75%	÷1.000	×0.920	×1.031	×0.998	17.76%
Doubles /BIP	15.00%	÷1.000	×0.810	×1.031	×0.998	12.51%
Triples /BIP	0.00%	÷1.000	×0.850	×1.031	×0.998	0.00%
Home runs /BIP	8.75%	÷1.000	×0.800	—	×0.998	6.99%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .362 → .274; ISO .248 → .181; BABIP .365 → .321. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+South Bend Cubs · 17 PAwOBA .221 → .147 (−74)K% 47.1% → 56.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.06%	÷1.051	×1.270	—	—	56.86%
BB% (unintentional) /PA	0.00%	÷1.042	×0.710	—	×1.012	0.00%
HBP% /PA	0.00%	—	×0.790	—	×1.012	0.00%
Singles /BIP	22.22%	÷1.021	×0.920	—	×1.012	20.26%
Doubles /BIP	0.00%	÷1.000	×0.810	—	×1.012	0.00%
Triples /BIP	0.00%	÷0.900	×0.850	—	×1.012	0.00%
Home runs /BIP	11.11%	÷1.106	×0.800	—	×1.012	8.13%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 121, 1B 104, 2B 100, 3B 80, K 110, BB 108 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .221 → .147; ISO .176 → .105; BABIP .250 → .220. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Kelly Shoppachlast yr '13 career totals — 8 seasons, 1,839 PA	2.8	1,839	70	1	225	314	417	+33	+14	11.3	11.5
/162	664	25	0	+11.9	+5.0	4.1	pk7: 12
#4Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	pk7: 9
#5George Mitterwald'66-'77 * career totals — 9 seasons, 2,919 PA	4.4	2,919	76	14	235*	294*	396*	+47	-1	6.5	7.4
/162	664	17	3	+10.7	-0.2	1.5	pk7: 8
#6Tim Laudner'81-'89 * career totals — 8 seasons, 2,268 PA	3.4	2,268	77	3	222*	292*	409*	+34	-1	6.0	6.1
/162	664	23	1	+9.8	-0.3	1.8	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,082	70	14	216	290	379	+37	+12	6.4	5.9
/162	664	22	4	+11.9	+3.8	2.0	pk7: 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
Logan Poteet (OGILVIE)	23	—	—	—	—	211/290/379	168	283	7	2	32%	9%	89	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kyle Wilson 2006 · A	23	46	55→60	38→30	38	239/286/424	185	309	24	4	31%	5%	98	+1.2	216/259/333	117	277	12	4	26%	4%	66	-1.1	194/230/280	86	245	7	0	24%	2%	40	-1.4
✕Marcos Castañon 2023 · A	24	38→48	51→50	38→40	46	201/294/355	155	278	19	2	33%	10%	86	+0.3	220/281/359	139	288	16	3	28%	7%	80	-0.1	222/277/356	134	285	15	2	27%	6%	76	-0.3
✕Michael McKenry 2009 · A	24	42→47	52→55	38→40	47	222/296/395	173	273	20	4	27%	8%	95	+0.9	222/285/357	135	279	14	3	25%	8%	81	-0.1	248/321/426	177	294	23	2	23%	9%	111	+0.8
✕Andy Marte 2006 · MLB	22	45→49	53→55	37→40	52	233/305/408	175	268	20	3	22%	10%	101	+1.4	228/278/386	158	268	18	3	22%	6%	85	+0.2	240/289/401	161	270	19	2	19%	6%	92	+0.4
✕Tyler Ogle 2016 · A	25	41→43	50	36→30	50	215/293/365	150	260	19	2	25%	9%	86	+0.3	211/278/346	135	271	15	5	27%	7%	76	-0.4	174/243/288	114	217	12	0	25%	6%	49	-0.6
✕Ian Rice 2018 · AA	24	39→40	51→50	41→30	50	208/291/361	154	264	19	3	29%	10%	85	+0.2	201/283/316	115	282	12	3	31%	9%	72	-0.7	183/271/276	93	265	9	1	32%	9%	58	-0.9
●Tom Murphy 2014 · AA	23	42→38	50→65	42→45	39	211/276/367	156	300	17	5	34%	6%	81	-0.1	212/267/380	168	296	20	5	34%	6%	80	-0.1	247/319/462	214	314	30	2	30%	9%	119	+1.2
✕Deivy Grullón 2019 · AA	23	47→45	49→55	41→30	37	238/271/379	141	306	18	2	28%	4%	81	-0.1	230/281/398	168	322	23	4	34%	6%	90	+0.6	211/270/386	176	299	25	1	37%	7%	80	-0.1
✕Michael Wing 2012 · A	23	49→50	47→55	35→40	41	245/290/379	135	305	14	4	24%	5%	88	+0.4	214/254/333	119	280	11	5	27%	4%	63	-1.3	224/265/377	153	286	16	4	27%	4%	77	-0.2
✕Julian Leon 2019 · AAA	23	40	48→45	38→30	43	201/288/338	137	303	17	3	37%	9%	79	-0.2	188/279/300	112	310	11	5	39%	9%	67	-1.1	129/234/211	82	231	8	0	44%	10%	30	-1.6
✕Victor Bericoto 2024 · AA	22	44→49	50	41→40	42	226/280/376	150	296	19	3	30%	7%	84	+0.1	235/281/359	124	312	14	4	28%	6%	80	-0.2	240/285/353	113	317	13	3	27%	5%	77	-0.3
✕Jabari Henry 2015 · A	24	42→41	52→55	41→45	49	217/297/388	171	275	20	6	28%	9%	93	+0.8	188/261/333	145	260	17	6	33%	8%	68	-1.0	153/227/285	132	210	17	5	35%	8%	41	-1.8
●Mark Vientos 2023 · MLB	23	48→51	55→60	37→30	40	242/299/424	182	337	25	2	35%	7%	102	+1.5	248/306/443	195	322	25	2	30%	7%	109	+2.0	247/307/448	201	309	26	1	28%	7%	110	+1.8
●Ryan Lavarnway 2011 · AA	23	46	51→55	44→30	44	232/301/393	161	302	19	2	29%	8%	96	+1.0	237/301/389	152	290	18	2	24%	7%	95	+0.9	237/299/380	143	282	17	1	22%	7%	91	+0.5
✕Nick Hundley 2008 · AA	24	41→45	50→55	39→40	45	214/272/365	151	255	17	3	24%	7%	78	-0.3	223/279/378	155	271	18	4	24%	7%	84	+0.1	252/317/421	169	318	16	4	25%	8%	108	+1.0
✕Sergio Pedroza 2007 · A	23	42→46	56→60	38→45	48	221/315/416	195	294	24	3	32%	10%	107	+1.8	229/303/389	160	305	18	7	29%	8%	96	+1.0	227/297/375	148	293	16	7	27%	7%	88	+0.3
✕Nathan Hickey 2023 · A	23	43→40	54→50	43→40	51	219/317/402	183	298	22	3	32%	12%	104	+1.6	202/283/351	149	288	17	4	34%	10%	80	-0.2	186/266/323	137	264	16	3	34%	9%	65	-1.0
✕Joey Bart 2020 · AA	23	43	53→55	45→40	38	228/270/395	166	287	21	7	29%	5%	84	+0.2	235/289/374	139	337	16	5	33%	6%	86	+0.3	251/343/392	142	332	17	1	27%	10%	112	+1.0
✕Max Stassi 2014 · AA	23	44→45	52→55	44→40	40	232/283/398	167	288	20	4	27%	5%	91	+0.6	212/258/336	124	293	14	3	32%	5%	66	-1.1	216/302/377	161	281	21	0	29%	10%	94	+0.4
✕Travis Denker 2007 · A	21	45→51	49→50	37→45	54	228/313/371	143	268	17	3	22%	10%	95	+1.0	231/301/358	127	283	12	5	21%	9%	87	+0.4	228/292/363	135	273	14	6	21%	7%	83	+0.1

Logan Poteet

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps