Mac Guscette — OGILVIE

Mac GuscetteC Rome Emperors

Age 24 R/R 6'0" / 190 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION169 act + 18 ros · stats below = ROS only

showingROS

wRC+†56

AVG/OBP/SLG.176 / .222 / .235

PA18

HR0

K%22

BB%6

BABIP243

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 30 / POW 25

Toolsscout grade

CONTACT30

scouting grade only

POWER25

scouting grade only

EYE25

scouting grade only

SPEED40

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	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
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		$-0.3M	+$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. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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)
2024	22	A+	Rome Emperors	—	42	35	5	2	0	0	5	2	2	0	0	143	286	200	486	57	152	5	12	244	51	-2	+0	—	—	+1	-0.2
2025	23	A+	Rome Emperors	—	178	161	28	4	1	1	11	29	3	0	1	174	240	230	470	56	201	16	6	217	33	-14	-0	—	—	+4	-1.1
2025	23	A	Augusta GreenJackets	—	92	75	22	7	1	1	14	15	2	0	1	293	418	453	871	160	350	16	15	388	149	+5	-0	—	—	+2	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A+ MLE	Rome Emperors	—	42	37	5	2	0	0	3	3	2	0	0	135	238	189	427	54	135	7	7	189	14	-4	+0	—	—	+1	-0.3
2025	23	A+ MLE	Rome Emperors	—	178	165	24	3	1	1	7	40	3	0	1	145	194	194	388	48	170	22	4	170	1	-21	-0	—	—	+4	-1.8
2025	23	A MLE	Augusta GreenJackets	—	92	80	19	6	1	1	9	22	2	0	1	237	330	375	705	138	297	24	10	298	88	-1	-0	—	—	+2	0.0
2024	22	A+ MLE	Rome Emperors	—	42	37	5	2	0	0	3	3	2	0	0	135	238	189	427	54	147	7	7	189	14	—	—	—	—	—	—
2024	22	A+ RAW	Rome Emperors	—	42	35	5	2	0	0	5	2	2	0	0	143	286	200	486	57	152	5	12	244	14	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	270	245	43	9	2	2	16	61	5	0	2	176	241	253	494	78	220	23	6	214	31	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	270	236	50	11	2	2	25	44	5	0	2	212	301	301	602	89	247	16	9	275	31	—	—	—	—	—	—
2024	22	A+ MLE	Rome Emperors	—	42	37	5	2	0	0	3	3	2	0	0	135	238	189	427	54	135	7	7	189	14	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	270	247	43	9	2	2	16	61	5	0	2	174	241	251	492	77	213	23	6	214	31	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A+ MLE	Rome Emperors	—	42	37	5	2	0	0	3	3	2	0	0	135	238	189	427	54	135	7	7	189	14	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	270	247	43	9	2	2	16	61	5	0	2	174	241	251	492	77	213	23	6	214	31	—	—	—	—	—	—
YTD	24	A+ MLE	ATL	—	169	148	26	3	0	4	13	35	7	0	0	176	274	277	551	101	200	21	8	250	55	-9	+0	+0	+3	+4	-0.2
▸ 2026 season
YTD	24	A+ RAW	ATL	—	169	142	30	4	0	5	19	26	7	0	0	211	333	345	678	134	223	15	11	313	55	—	—	—	—	—	—
ROS	24	A+ MLE	ATL	0%	18	17	3	1	0	0	1	4	0	0	0	176	222	235	458	59	243	22	6	251	56	-1	+0	+0	+0	+0	-0.0
TOT	24	A+ MLE	ATL	—	187	165	29	4	0	4	14	39	7	0	0	176	269	273	542	97	203	21	7	250	55	-10	+0	+0	+3	+4	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	ATL	30%	263	239	49	9	1	4	17	57	5	3	1	205	272	301	573	96	250	22	6	262	64	-11	+0	+0	+5	+6	-0.1
2028	26	MLB MLE	ATL	44%	332	301	63	12	1	6	22	72	6	4	1	209	277	316	592	106	253	22	7	269	68	-13	+0	+0	+6	+7	0.1
2029	27	MLB MLE	ATL	49%	367	332	71	13	2	7	25	80	7	5	2	214	283	328	611	114	254	22	7	271	70	-13	+0	+0	+7	+8	0.2
2030	28	MLB MLE	ATL	52%	388	351	74	14	2	7	27	85	7	5	2	211	281	322	602	111	255	22	7	272	70	-14	+0	-1	+7	+8	0.1
2031	29	MLB MLE	ATL	51%	393	355	74	14	1	7	28	87	7	5	2	208	279	313	592	104	254	22	7	270	69	-15	+0	-1	+7	+9	-0.0
2032	30	MLB MLE	ATL	51%	395	357	74	14	1	7	28	89	7	5	2	207	278	311	589	104	253	23	7	267	67	-16	+0	-2	+7	+9	-0.2
2027	25	MLB CTX	ATL	30%	80	73	15	3	0	1	5	17	2	1	0	205	275	288	563	82	250	21	6	248	64	-3	+0	+0	+1	+2	-0.0
2028	26	MLB CTX	ATL	44%	147	133	28	5	1	3	10	32	3	2	1	211	281	331	612	120	253	22	7	255	68	-6	+0	+0	+3	+3	0.0
2029	27	MLB CTX	ATL	49%	180	163	34	6	1	3	12	39	3	2	1	209	275	313	588	104	254	22	7	258	70	-6	+0	+0	+3	+4	0.1
2030	28	MLB CTX	ATL	52%	200	180	38	7	1	4	14	44	4	2	1	211	283	328	611	117	255	22	7	258	70	-7	+0	-0	+4	+4	0.0
2031	29	MLB CTX	ATL	51%	202	182	39	7	1	4	14	45	4	2	1	214	285	330	615	115	254	22	7	257	69	-8	+0	-1	+4	+4	-0.0
2032	30	MLB CTX	ATL	51%	203	183	38	7	1	3	14	46	4	2	1	208	279	306	585	98	253	23	7	254	67	-8	+0	-1	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1012	914	192	35	5	18	69	223	20	11	5	210	280	318	599	108	257	22	7	256	63	-38	+0	-2	+18	+22	-0.0
/ 162G	—	A+C		—	650	587	123	22	3	12	44	143	13	7	3	210	280	319	598	109	255	22	7	256	63	-25	+0	-1	+12	+14	-0.0
Career	—	MLE		—	2468	2234	456	88	10	40	167	538	46	27	12	204	273	306	580	102	249	22	7	261	63	-82	+1	-4	+38	+47	0.0
/ 162G	—	MLE		—	650	588	121	23	3	11	44	142	12	7	3	206	275	311	586	105	251	22	7	261	63	-25	+0	-1	+12	+14	0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.5	1,013	18	12	209	276	316	+18	+12	0.8	0.8
/162	664	12	8	+11.9	+7.9	0.5	pk7: 1
#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
Mac Guscette (OGILVIE)	24	30	25	40	25	195/264/279	84	243	3	2	22%	6%	56	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Pagnozzi 2007 · AA	24	37	38→40	43→40	39	181/239/262	81	264	5	4	32%	6%	42	-2.9	197/247/275	78	277	6	4	29%	5%	47	-2.5	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Jairo Rodriguez 2012 · A	23	39	35→30	46→30	41	187/226/248	61	230	3	5	20%	4%	33	-3.6	212/256/271	59	265	3	3	20%	5%	49	-2.4	213/256/261	47	260	2	1	18%	4%	45	-0.9
✕Rocky Gale 2012 · AA	24	38→46	37→40	41→30	40	186/234/250	64	246	5	5	26%	5%	36	-3.3	204/236/261	57	250	4	4	19%	4%	39	-3.1	255/282/304	49	309	1	1	17%	3%	63	-0.6
✕Erick Castillo 2017 · A	24	40	35→30	47→30	38	190/231/241	51	243	3	4	23%	4%	33	-3.6	205/251/269	64	264	4	3	23%	5%	47	-2.5	191/250/230	39	236	3	0	20%	4%	36	-0.9
✕Adam Weisenburger 2013 · AA	24	43	36→40	43→30	46	202/277/267	66	268	4	5	25%	8%	58	-1.7	217/296/304	87	281	6	4	23%	8%	74	-0.6	216/301/298	83	274	6	2	21%	8%	72	-0.3
✕Richard Mercado 2007 · A	24	40	37→45	45→30	41	195/242/273	78	270	4	5	29%	6%	45	-2.7	211/263/296	85	276	6	4	24%	6%	58	-1.7	210/263/287	77	267	6	0	23%	6%	55	-0.7
✕Roberto Baldoquin 2018 · A	24	42	37→30	43→45	38	201/246/268	67	287	5	8	31%	5%	45	-2.7	214/261/289	75	300	4	7	29%	5%	55	-1.9	212/267/270	58	291	2	4	26%	5%	51	-1.1
✕Riccio Torrez 2014 · AA	24	41→35	40	47→45	40	199/257/291	92	247	8	5	23%	4%	56	-1.9	205/257/299	94	273	7	8	27%	4%	57	-1.8	159/183/231	72	226	4	4	31%	2%	8	-1.0
✕Camden Duzenack 2019 · A	24	39→36	39→50	46→50	41	191/253/278	87	253	5	11	26%	6%	51	-2.2	186/241/310	124	254	15	9	32%	5%	55	-2.0	211/259/339	128	274	14	10	28%	5%	64	-0.6
✕Jeremy Dowdy 2014 · A	24	43	37→40	45→30	40	205/249/276	71	284	4	5	28%	6%	48	-2.5	223/277/300	77	281	5	4	21%	7%	64	-1.3	225/284/301	76	272	5	1	18%	7%	63	-0.5
✕Braeden Schlehuber 2012 · AA	24	38	40→45	44→40	40	188/234/280	92	227	8	5	22%	4%	44	-2.8	207/253/314	107	248	11	5	21%	4%	59	-1.6	202/248/301	99	236	10	3	19%	3%	53	-0.9
✕Stephen McGee 2015 · A	24	41	36→40	44→30	48	195/279/260	65	269	4	4	27%	9%	57	-1.8	202/281/288	86	287	7	4	29%	9%	64	-1.3	198/284/292	94	281	8	1	30%	10%	64	-0.5
✕Connor Justus 2019 · AA	24	39→38	38→40	42→45	46	188/272/267	79	265	6	8	29%	8%	57	-1.8	177/251/244	67	256	4	8	30%	7%	43	-2.8	152/224/201	49	226	2	6	31%	7%	21	-2.7
✕Ricardo Valenzuela 2015 · A	24	43	37→30	45→50	43	204/256/274	69	260	4	4	22%	6%	51	-2.3	204/258/266	62	255	4	3	20%	6%	49	-2.4	224/272/272	48	261	5	0	16%	6%	54	-0.7
✕Cam Balego 2019 · A	24	44→40	37→45	42→30	41	208/263/284	76	277	4	5	25%	5%	56	-1.9	212/289/322	110	277	11	4	26%	7%	75	-0.5	203/289/317	114	260	14	1	26%	8%	72	-0.5
✕J.J. Franco 2016 · A	24	46	37→30	38→45	42	219/272/288	69	289	5	6	25%	6%	59	-1.6	206/269/263	57	283	2	5	25%	8%	53	-2.1	217/294/253	36	302	0	4	26%	10%	58	-0.6
✕Austin Rei 2018 · A	24	37	39→40	37→40	39	179/255/268	89	273	6	4	34%	7%	51	-2.3	192/266/285	93	283	7	5	32%	7%	58	-1.7	179/259/266	87	256	8	2	31%	8%	49	-0.8
✕Claudio Finol 2023 · AA	23	38	37→40	50→45	40	186/240/263	77	257	4	8	28%	6%	42	-2.9	207/267/299	92	292	8	10	30%	7%	61	-1.5	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Andrés Alvarez 2021 · A	24	41→31	37→45	48→50	42	196/261/270	74	275	4	7	29%	7%	52	-2.2	202/269/324	122	288	13	15	33%	8%	68	-1.0	182/251/303	121	254	14	15	33%	8%	55	-1.1
✕Chuck Moorman 2018 · A	24	41	38→40	38→30	37	200/234/279	80	266	6	3	27%	4%	43	-2.8	195/249/289	94	296	9	4	35%	6%	52	-2.2	141/206/215	74	259	6	0	45%	8%	17	-1.4

Career Stats + Projections

Career Comps

Career Path Comps