Logan Braunschweig

Logan BraunschweigOF Rome Emperors

Age 23 L/R 6'1" / 195 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION354 act + 9 ros · stats below = ROS only

showingROS

wRC+†59

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

PA9

HR0

K%33

BB%11

BABIP288

ISO79

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 42 / POW 37

Toolsscout grade

CONTACT42

scouting grade only

POWER37

scouting grade only

EYE59

scouting grade only

SPEED60

scouting grade only

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	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
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. 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+	Rome Emperors	—	101	85	25	3	1	0	14	18	2	4	2	294	406	353	759	59	373	18	14	354	125	+3	+0	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Rome Emperors	—	101	90	20	2	1	0	9	25	2	4	2	222	307	267	574	44	310	25	9	264	65	-4	+0	—	—	+2	-0.2
2025	22	A+ MLE	Rome Emperors	—	101	90	20	2	1	0	9	25	2	4	2	222	307	267	574	44	308	25	9	264	65	—	—	—	—	—	—
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	65	—	—	—	—	—	—
2025	22	A+ MLE	Rome Emperors	—	101	89	20	2	1	0	9	25	2	4	2	225	307	270	577	45	310	25	9	264	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A+ MLE	Rome Emperors	—	101	89	20	2	1	0	9	25	2	4	2	225	307	270	577	45	310	25	9	264	65	—	—	—	—	—	—
YTD	23	A+ MLE	ATL	—	354	314	63	7	1	2	34	106	2	17	8	201	283	248	531	48	293	30	10	245	52	-20	+0	+0	-2	+8	-1.5
▸ 2026 season
YTD	23	A+ RAW	ATL	—	214	172	44	6	0	3	39	41	2	12	4	256	399	343	742	87	320	19	18	347	52	—	—	—	—	—	—
YTD	23	AA RAW	ATL	—	140	125	24	2	1	0	12	42	0	5	4	192	263	224	487	32	282	30	9	225	52	—	—	—	—	—	—
ROS	23	A+ MLE	ATL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		288	33	11	255	59	-0	+0	+0	-0	+0	-0.0
TOT	23	A+ MLE	ATL	—	363	322	64	7	1	2	35	109	2	17	8	199	281	245	527	47	291	30	10	245	52	-21	+0	+0	-2	+8	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	ATL	30%	323	288	60	9	1	4	30	92	2	9	4	208	287	288	576	80	291	28	9	269	68	-12	+0	+0	-2	+7	-0.7
2028	25	MLB MLE	ATL	44%	379	337	72	11	2	6	36	106	3	10	4	214	295	312	607	98	291	28	9	277	73	-12	+0	+0	-2	+8	-0.6
2029	26	MLB MLE	ATL	51%	413	368	80	13	2	7	39	114	3	10	4	217	298	321	618	103	291	28	9	281	76	-12	+0	+0	-2	+9	-0.5
2027	24	MLB CTX	ATL	30%	98	88	18	3	0	1	9	28	1	3	1	205	286	273	558	68	291	29	9	263	68	-4	+0	+0	-1	+2	-0.2
2028	25	MLB CTX	ATL	44%	168	149	33	5	1	3	16	47	1	4	2	221	301	329	630	107	291	28	10	271	73	-5	+0	+0	-1	+4	-0.3
2029	26	MLB CTX	ATL	51%	210	186	41	6	1	4	20	58	2	5	2	220	303	328	631	108	291	28	10	275	76	-6	+0	+0	-1	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	476	423	92	14	2	8	45	133	4	12	5	217	299	317	616	99	296	28	9	271	72	-15	+0	+0	-3	+10	-0.7
/ 162G	—	A+C		—	650	578	126	19	3	11	61	182	5	16	7	218	298	318	616	100	296	28	9	271	72	-21	+1	+0	-4	+14	-1.0
Career	—	MLE		—	1225	1091	233	35	6	17	115	340	10	33	14	214	294	303	598	90	292	28	9	275	72	-36	+1	+0	-7	+24	-1.8
/ 162G	—	MLE		—	650	579	124	19	3	9	61	180	5	18	7	214	295	304	599	90	293	28	9	275	72	-21	+1	+0	-4	+14	-1.1

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
#2Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#3Dustin 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
#4Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#5Nick 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 1 projected seasons	0.7	476	7	12	215	293	311	-3	+0	-0.4	-0.2
/162	664	10	17	-4.0	+0.0	-0.5	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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)	23	37→42	32→37	55→60	59	199/281/264	64	288	1	6	30%	9%	59	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Ramiro Rodriguez 2021 · AA	23	43	40	51→50	49	206/287/303	97	281	7	18	28%	9%	70	-0.9	201/263/300	99	311	9	11	36%	7%	60	-1.6	148/212/219	71	239	8	8	39%	6%	19	-1.1
✕Saige Jenco 2018 · A	23	47	40	54→50	46	221/290/320	99	305	5	15	28%	8%	74	-0.6	212/285/295	83	318	5	12	31%	9%	67	-1.1	193/282/233	40	308	0	13	33%	11%	49	-0.8
✕Kameron Misner 2021 · A	23	46→43	39→50	54→55	47	217/293/305	88	307	6	13	29%	9%	72	-0.7	200/284/329	129	320	13	21	38%	10%	75	-0.5	189/285/327	138	300	14	26	38%	11%	72	-0.6
✕Matt Rudick 2022 · A	24	45→42	39→45	56→50	49	217/284/308	92	271	6	11	22%	8%	69	-0.9	210/297/315	105	263	8	14	22%	9%	76	-0.4	205/296/315	110	257	9	15	22%	9%	74	-0.4
✕Jake Thomas 2016 · A	23	44	39→30	49→50	47	210/289/293	83	281	7	8	26%	8%	68	-1.0	206/288/273	67	306	2	8	30%	10%	63	-1.3	200/292/257	57	304	1	8	30%	11%	59	-0.8
✕James Ramsay 2015 · A	23	43→53	38→40	58→50	46	201/270/296	95	279	4	19	28%	8%	61	-1.5	224/282/323	99	285	7	11	23%	7%	72	-0.7	229/285/325	97	283	8	8	21%	7%	70	-0.7
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Miguel Arrendell 2011 · A	23	43	38→30	50	50	204/283/278	75	275	5	13	26%	9%	62	-1.4	220/277/315	95	278	8	8	22%	7%	68	-1.0	233/284/329	97	269	9	2	17%	6%	70	-0.3
✕Travis Swaggerty 2021 · A	23	44	40→45	50→55	44	209/274/301	93	299	8	14	31%	8%	64	-1.3	211/276/321	110	298	9	18	30%	8%	69	-0.9	205/272/308	104	303	7	20	32%	8%	61	-0.7
✕Cam Coursey 2022 · A	23	44	38→40	52→55	48	208/273/289	81	264	5	16	22%	8%	61	-1.5	211/287/288	77	276	4	10	23%	9%	66	-1.1	197/290/254	56	258	2	4	22%	10%	59	-0.7
✕Nick Ward 2019 · A	23	43→44	39→40	52→50	47	204/283/297	93	286	5	10	29%	9%	67	-1.1	197/270/277	80	304	5	7	34%	8%	57	-1.8	192/275/262	70	277	7	15	31%	9%	55	-1.2
✕Kyle Von Tungeln 2014 · A	23	41	38→40	55	52	195/285/277	82	271	4	20	27%	11%	63	-1.3	204/274/281	77	314	4	13	33%	8%	59	-1.6	185/253/226	41	311	0	10	37%	8%	36	-0.9
✕T.J. Mittelstaedt 2011 · A	23	44→49	37→45	52→50	43	206/272/288	82	305	4	12	32%	8%	60	-1.6	203/284/320	117	316	11	14	35%	10%	73	-0.6	185/275/310	125	289	13	14	37%	11%	65	-0.9
✕Stephen Gaylor 2015 · A	23	47	37→30	52→55	39	219/266/296	77	308	4	9	29%	5%	59	-1.7	229/281/281	52	297	1	16	22%	6%	61	-1.5	228/281/269	40	297	1	19	22%	6%	54	-0.9
✕Ryan Aguilar 2018 · A	23	40→41	36→45	50	44	189/255/253	64	275	4	8	31%	8%	46	-2.6	185/256/276	91	300	8	7	38%	8%	52	-2.2	185/281/292	107	300	12	12	39%	10%	63	-0.9
✕Preston Beck 2014 · A	23	43→44	38→45	49→45	48	207/275/290	82	264	5	10	23%	8%	61	-1.5	213/279/322	109	270	9	8	23%	8%	71	-0.8	213/277/329	116	265	9	7	22%	7%	69	-0.7
✕Michael DeJesus 2006 · A	23	43→51	36→30	50→45	50	200/287/267	67	290	3	11	30%	10%	61	-1.5	224/299/284	60	278	4	7	19%	10%	70	-0.9	229/306/285	57	278	4	5	17%	10%	70	-0.6
✕Sean Shoffit 2008 · A	23	43	41→45	56→50	44	202/274/310	108	311	6	13	35%	9%	65	-1.2	195/266/303	108	315	8	14	37%	8%	61	-1.5	182/254/286	105	295	7	16	38%	8%	50	-1.1
✕Kai Murphy 2023 · A	22	45→40	39→40	53→50	44	214/273/301	87	294	6	12	28%	7%	63	-1.3	209/272/296	87	305	7	10	31%	7%	62	-1.4	198/270/265	67	268	5	11	26%	8%	52	-1.3

Career Stats + Projections

Career Comps

Career Path Comps