Logan Braunschweig

OF Rome Emperors

Age 24 L/R 6'1" / 195 lbs A+ Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	A+ATL	101	.294/.406/.353	0	4	56	—	.220/.297/.264
2026	23	AA/A+ATL	354	.229/.346/.293	3	17	46	—	.199/.274/.257
2027PROJMLE	24	MLBATL	1	.191/.264/.258	0	0	50	-0.0
2028PROJ30% MLB	25	MLBATL	73	.195/.269/.274	1	2	55	-0.3
2029PROJ44% MLB	26	MLBATL	128	.199/.273/.285	2	3	59	-0.4

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030Ext$0.0M2031Ext$0.9M2032Ext$0.9M2033Ext$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 AA

Chase%83

Speed41

Whiff%37

BB%31

Z-Con%24

K%22

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsTim Arakawa (age 24) · Jake Skole (age 24) · Aaron Knapp (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†50

AVG/OBP/SLG.191 / .264 / .258

PA1

HR0

K%31

BB%8

BABIP279

ISO75

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 38 / POW 32

Toolsscout grade

CONTACT38

scouting grade only

POWER32

scouting grade only

EYE52

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
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	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
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
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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+	Rome Emperors	—	101	85	25	3	1	0	14	18	2	4	2	294	406	353	759	59	373	18	14	354	56	—	—	—	—	—	—
2026	23	AA	Columbus Clingstones	—	140	125	24	2	1	0	12	42	0	5	4	192	263	224	487	32	282	30	9	225	13	—	—	—	—	—	—
2026	23	A+	Rome Emperors	—	214	172	44	6	0	3	39	41	2	12	4	256	399	343	742	87	320	19	18	347	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Rome Emperors	—	101	91	20	2	1	0	8	24	2	4	2	220	297	264	561	44	292	24	8	251	56	—	—	—	—	—	—
2026	23	AA MLE	Columbus Clingstones	—	140	129	22	2	1	0	8	51	0	5	4	171	219	202	421	31	262	36	6	188	13	—	—	—	—	—	—
2026	23	A+ MLE	Rome Emperors	—	214	188	41	5	0	3	23	54	2	12	4	218	310	293	602	74	284	25	11	269	68	—	—	—	—	—	—
2025	22	A+ MLE	Rome Emperors	—	101	91	20	2	1	0	8	24	2	4	2	220	297	264	561	44	299	24	8	251	56	—	—	—	—	—	—
2025	22	A+ RAW	Rome Emperors	—	101	85	25	3	1	0	14	18	2	4	2	294	406	353	759	59	373	18	14	354	56	—	—	—	—	—	—
2026	23	A+ MLE	2 teams	—	354	317	63	7	1	3	31	105	2	17	8	199	274	256	530	57	284	30	9	237	47	—	—	—	—	—	—
2026	23	A+ RAW	2 teams	—	354	297	68	8	1	3	51	83	2	17	8	229	346	293	639	64	305	23	14	299	47	—	—	—	—	—	—
2025	22	A+ MLE	Rome Emperors	—	101	90	20	2	1	0	8	24	2	4	2	222	297	267	564	44	292	24	8	251	56	—	—	—	—	—	—
2026	23	A+ MLE	2 teams	—	354	318	63	7	1	3	31	105	2	17	8	198	274	255	529	57	275	30	9	237	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A+ MLE	Rome Emperors	—	101	90	20	2	1	0	8	24	2	4	2	222	297	267	564	44	292	24	8	251	56	—	—	—	—	—	—
2026	23	A+ MLE	2 teams	—	354	318	63	7	1	3	31	105	2	17	8	198	274	255	529	57	275	30	9	237	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	ATL	0%	380	342	66	11	2	3	32	119	3	9	3	191	264	258	522	67	279	31	8	242	50	-23	+1	+0	-2	+8	-0.8
▸ 2027 — real world (MLB)
2027	24	MLB CTX	ATL	0%	1	1	0	0	0	0	0	0	0	0	0	191	264	258	522	67	279	0	0	242	50	-0	+0	+0	-0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	ATL	30%	240	216	41	7	1	2	20	74	2	5	2	195	269	274	543	78	280	31	8	250	55	-13	+0	+0	-1	+5	-0.9
2029	26	MLB MLE	ATL	44%	289	261	52	9	1	4	24	88	2	6	3	199	273	285	558	86	281	30	8	256	59	-14	+0	+0	-2	+6	-1.0
2028	25	MLB CTX	ATL	30%	73	66	13	2	0	1	6	22	1	2	1	195	269	274	543	78	280	30	8	250	55	-4	+0	+0	-0	+2	-0.3
2029	26	MLB CTX	ATL	44%	128	115	24	4	1	2	11	39	1	3	1	199	273	285	558	86	281	30	9	256	59	-6	+0	+0	-1	+3	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	201	181	37	6	1	3	17	61	2	5	2	204	280	298	578	94	288	30	8	254	53	-10	+0	+0	-1	+4	-0.7
/ 162G	—	A+C		—	650	585	119	19	3	10	55	197	6	16	6	203	278	297	576	94	286	30	8	254	53	-33	+1	+0	-4	+14	-2.2
Career	—	MLE		—	1192	1072	212	31	5	11	100	356	10	37	17	198	272	267	539	69	283	30	8	246	53	-39	+0	+0	-4	+16	-2.8
/ 162G	—	MLE		—	650	585	116	17	3	6	55	194	5	20	9	198	273	268	542	70	284	30	8	246	53	-35	+0	+0	-4	+14	-2.4

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 A+Rome Emperors · 214 PAwOBA .339 → .269 (−71)K% 19.2% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.16%	÷1.000	×1.310	—	—	25.10%
BB% (unintentional) /PA	18.22%	÷1.000	×0.600	—	×0.988	10.80%
HBP% /PA	0.93%	—	×0.770	—	×0.988	0.71%
Singles /BIP	26.72%	÷1.000	×0.870	×1.050	×0.988	24.11%
Doubles /BIP	4.58%	÷1.000	×0.780	×1.050	×0.988	3.71%
Triples /BIP	0.00%	÷1.000	×0.850	×1.050	×0.988	0.00%
Home runs /BIP	2.29%	÷1.000	×0.880	—	×0.988	1.99%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .339 → .269; ISO .087 → .076; BABIP .320 → .284. 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 AAColumbus Clingstones · 140 PAwOBA .223 → .188 (−35)K% 30.0% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷1.000	×1.220	—	—	36.60%
BB% (unintentional) /PA	8.57%	÷1.000	×0.680	—	×1.012	5.90%
HBP% /PA	0.00%	—	×0.840	—	×1.012	0.00%
Singles /BIP	25.30%	÷1.000	×0.920	×1.002	×1.012	23.60%
Doubles /BIP	2.41%	÷1.000	×0.910	×1.002	×1.012	2.22%
Triples /BIP	1.20%	÷1.000	×0.880	×1.002	×1.012	1.07%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.012	0.00%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .223 → .188; ISO .032 → .028; BABIP .282 → .262. 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+Rome Emperors · 101 PAwOBA .345 → .251 (−94)K% 17.8% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.82%	÷0.983	×1.310	—	—	23.75%
BB% (unintentional) /PA	13.86%	÷1.020	×0.600	—	×0.998	8.14%
HBP% /PA	1.98%	—	×0.770	—	×0.998	1.52%
Singles /BIP	31.34%	÷1.098	×0.870	×1.009	×0.998	25.00%
Doubles /BIP	4.48%	÷1.173	×0.780	×1.009	×0.998	3.00%
Triples /BIP	1.49%	÷1.075	×0.850	×1.009	×0.998	1.19%
Home runs /BIP	0.00%	÷0.819	×0.880	—	×0.998	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 64, 1B 120, 2B 135, 3B 115, K 97, BB 104 — 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 ×1.009.

Result: wOBA .345 → .251; ISO .059 → .043; BABIP .373 → .292. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sam Fuld'07-'15 * career totals — 6 seasons, 1,535 PA	2.3	1,535	12	67	230*	314*	336*	-10	+29	3.7	4.0
/162	664	5	29	-4.3	+12.7	1.6	pk7: 4
#2Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#3Jake 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
#4James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 1
#5Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
#6Dave McCarty'93-'05 * career totals — 9 seasons, 1,647 PA	2.5	1,647	36	9	233*	295*	365*	-26	+16	-1.1	0.5
/162	664	15	4	-10.5	+6.6	-0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.3	202	2	4	198	269	282	-1	+0	-0.5	-0.3
/162	664	8	15	-4.0	+0.0	-1.7	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
Logan Braunschweig (OGILVIE)	24	38	32	55	52	189/262/256	67	279	2	5	31%	8%	50	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tim Arakawa 2017 · AAA	24	44→42	36→30	48→50	49	206/276/275	68	269	4	10	24%	9%	59	-1.7	214/279/294	80	299	7	12	28%	8%	63	-1.3	210/277/273	63	306	8	13	32%	8%	59	-0.8
✕Jake Skole 2016 · AA	24	40→47	39→40	51→50	43	195/259/277	82	279	6	13	31%	8%	53	-2.1	196/255/297	101	307	10	13	37%	7%	56	-1.9	150/208/247	97	249	13	10	44%	6%	26	-1.6
✕Aaron Knapp 2019 · A	24	43→36	36→30	54→55	48	198/282/262	63	297	3	20	32%	10%	59	-1.7	200/272/276	76	307	6	17	33%	9%	57	-1.8	174/245/237	63	275	5	19	36%	8%	37	-1.9
✕Rashad Crawford 2018 · AA	24	42→45	39→40	54→55	40	205/254/293	87	281	6	17	28%	6%	53	-2.1	210/260/289	79	298	6	16	30%	6%	55	-1.9	209/259/276	67	300	5	17	31%	6%	49	-1.5
✕Alvaro Rondon 2015 · A	24	44	36→30	53→55	40	211/252/282	71	282	3	10	26%	5%	50	-2.3	219/263/286	67	285	2	16	22%	5%	55	-1.9	230/269/283	53	289	0	27	19%	5%	55	-0.6
✕Patrick Biondi 2015 · A	24	44	36→30	50→60	45	210/268/277	67	279	3	15	25%	7%	55	-1.9	229/282/293	64	305	3	25	24%	6%	64	-1.3	235/292/289	54	313	2	32	24%	7%	64	-0.8
✕Jeff Gelalich 2015 · A	24	41→44	38→40	51→55	41	198/258/273	75	290	5	13	32%	7%	51	-2.2	197/261/269	72	341	4	16	40%	7%	51	-2.2	187/254/247	60	349	2	19	43%	7%	42	-1.3
✕Brennan Gowens 2014 · A	24	44→49	35→30	47→50	44	207/261/268	61	279	2	11	26%	6%	51	-2.3	210/267/285	75	287	3	13	26%	7%	57	-1.8	176/232/236	61	241	0	20	25%	6%	30	-0.8
✕Carlos Sepulveda 2021 · A	24	45	34→30	49→45	47	210/273/263	53	280	2	12	24%	8%	55	-2.0	210/278/281	71	273	4	7	23%	8%	61	-1.5	191/263/253	62	247	4	3	23%	8%	46	-1.3
✕Donta' Williams 2023 · A	24	43→34	39→40	56→55	47	200/283/291	91	291	6	21	31%	9%	65	-1.2	186/272/268	82	283	5	20	33%	9%	57	-1.8	166/256/236	71	255	5	20	33%	9%	42	-1.2
✕Dionis Paulino 2018 · A	24	46	37→40	49→50	41	214/268/290	76	311	4	11	31%	7%	58	-1.7	213/256/309	96	317	9	9	34%	5%	58	-1.7	199/226/299	100	289	14	9	36%	3%	41	-0.9
✕Terence Doston 2024 · AA	23	46	36→30	52→55	42	219/276/281	62	295	4	20	26%	6%	59	-1.6	213/271/286	73	275	5	17	23%	7%	59	-1.7	189/251/225	35	236	3	24	20%	7%	36	-0.8
✕Joseph Daris 2016 · A	24	46	38→40	55→50	39	218/261/298	81	293	4	15	26%	5%	57	-1.8	203/252/286	83	297	5	11	31%	5%	52	-2.2	170/222/234	64	265	3	7	35%	5%	26	-1.8
✕Evan Marzilli 2015 · AA	24	44→46	39→40	48→50	42	209/272/298	89	301	5	10	31%	7%	62	-1.4	206/280/290	84	296	4	13	29%	8%	63	-1.3	201/283/278	77	286	4	15	28%	9%	60	-1.0
✕Rian Kiniry 2011 · AA	24	44→46	37→30	50→55	38	210/249/280	70	283	5	20	27%	4%	49	-2.4	200/252/270	70	271	4	19	26%	6%	48	-2.5	186/244/245	59	250	3	21	25%	7%	37	-1.8
✕Angel Zarate 2024 · A	25	45	37→40	53→50	44	214/279/292	78	292	4	14	27%	7%	63	-1.3	207/276/289	82	269	6	14	23%	8%	62	-1.4	159/247/204	45	192	3	19	18%	9%	34	-0.8
✕Jameson Hannah 2022 · AA	24	48→47	38→40	50	38	220/272/302	82	330	4	12	33%	6%	63	-1.4	238/292/325	87	330	6	16	28%	7%	76	-0.4	263/317/337	74	346	5	17	24%	7%	85	+0.0
✕Cole Bauml 2017 · A	24	41→46	36→30	48→45	38	195/244/257	61	284	3	7	31%	5%	42	-2.9	210/257/272	62	288	2	7	26%	5%	50	-2.3	213/261/269	56	290	1	8	25%	6%	48	-2.2
✕Roberto Caro 2018 · AA	24	43→40	36→40	53→60	42	197/266/271	73	305	2	16	34%	8%	54	-2.0	215/283/294	79	309	3	27	29%	8%	65	-1.2	215/285/288	74	303	3	35	28%	8%	63	-0.9
✕Jake Thomas 2017 · A	24	42	37→30	48→50	44	199/266/270	71	279	4	7	28%	8%	54	-2.0	212/299/285	73	320	3	9	31%	11%	70	-0.8	207/318/264	57	323	1	10	31%	14%	71	-0.4

Logan Braunschweig

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps