Alex Birge — OGILVIE

Alex BirgeC Palm Beach Cardinals

Age 23 L/R 6'0" / 205 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION204 act + 27 ros · stats below = ROS only

showingROS

wRC+†56

AVG/OBP/SLG.167 / .259 / .208

PA27

HR0

K%41

BB%7

BABIP288

ISO42

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · Contract

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
2026	MiLB	still in minors · estimated debut 2031
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	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
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. 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	23	A MLE	STL	—	204	178	23	6	1	3	19	106	6	5	1	129	236	225	461	96	286	52	9	206	25	-18	+1	+0	+4	+4	-1.0
▸ 2026 season
YTD	23	A RAW	STL	—	176	149	26	6	1	4	21	66	6	3	1	174	301	309	610	134	278	38	12	286	25	—	—	—	—	—	—
YTD	23	A+ RAW	STL	—	28	22	5	2	0	0	5	9	0	2	0	227	370	318	689	91	357	32	18	313	25	—	—	—	—	—	—
ROS	23	A MLE	STL	0%	27	24	4	1	0	0	2	11	1	1	0	167	259	208	468	42	289	41	7	250	56	-1	+0	+0	+0	+1	-0.0
TOT	23	A MLE	STL	—	231	202	27	7	1	3	21	117	7	6	1	134	239	223	462	89	289	51	9	211	29	-20	+1	+0	+4	+5	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	STL	30%	402	359	65	13	2	8	33	153	7	6	2	181	263	295	558	114	288	38	8	258	61	-19	+0	+0	+7	+9	-0.3
2028	25	MLB MLE	STL	44%	490	437	83	17	3	10	41	180	9	8	2	190	273	311	584	121	288	37	8	265	65	-20	+1	+0	+9	+11	-0.0
2029	26	MLB MLE	STL	51%	520	462	90	18	3	12	44	187	9	8	2	195	278	325	602	130	288	36	8	269	68	-20	+1	+0	+9	+11	0.2
2030	27	MLB MLE	STL	52%	520	462	90	18	3	12	44	186	9	8	2	195	278	325	602	130	288	36	8	270	69	-19	+1	+0	+9	+11	0.2
2031	28	MLB MLE	STL	53%	520	461	90	18	3	12	45	187	9	8	2	195	280	325	605	130	288	36	9	269	68	-20	+1	-1	+9	+11	0.1
2032	29	MLB MLE	STL	53%	520	461	88	18	2	11	45	188	9	7	2	191	276	310	586	119	287	36	9	268	67	-20	+1	-1	+9	+11	-0.1
2033	30	MLB MLE	STL	52%	520	461	86	17	2	11	45	189	9	7	2	187	272	304	576	117	285	36	9	265	65	-21	+1	-2	+9	+11	-0.2
2027	24	MLB CTX	STL	30%	121	108	20	4	1	2	10	46	2	2	0	185	267	296	563	111	287	38	8	242	61	-6	+0	+0	+2	+3	-0.0
2028	25	MLB CTX	STL	44%	216	192	35	7	1	4	18	79	4	3	1	182	266	292	558	109	287	37	8	249	65	-9	+0	+0	+4	+5	-0.0
2029	26	MLB CTX	STL	51%	264	235	44	9	1	5	22	95	5	4	1	187	271	298	569	111	287	36	8	253	68	-10	+0	+0	+5	+6	0.1
2030	27	MLB CTX	STL	52%	273	243	46	9	1	6	23	98	5	4	1	189	273	309	582	119	287	36	8	255	69	-10	+0	+0	+5	+6	0.1
2031	28	MLB CTX	STL	53%	277	246	46	9	1	6	24	99	5	4	1	187	273	305	578	118	287	36	9	254	68	-10	+0	-0	+5	+6	0.1
2032	29	MLB CTX	STL	53%	273	242	46	9	1	6	24	98	5	4	1	190	277	310	587	120	286	36	9	252	67	-11	+0	-1	+5	+6	-0.0
2033	30	MLB CTX	STL	52%	271	241	44	9	1	5	23	98	5	3	1	183	268	290	558	108	284	36	8	249	65	-11	+0	-1	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1695	1507	281	56	7	34	144	613	31	24	6	186	271	301	572	114	285	36	8	251	66	-67	+2	-2	+30	+37	0.0
/ 162G	—	A+C		—	650	578	108	21	3	13	55	235	12	9	2	187	271	301	572	114	285	36	8	251	66	-26	+1	-1	+12	+14	0.0
Career	—	MLE		—	3519	3127	596	120	18	76	299	1281	62	53	14	191	274	313	588	123	291	36	8	266	66	-140	+5	-4	+63	+76	-0.1
/ 162G	—	MLE		—	650	578	110	22	3	14	55	237	11	10	3	190	273	311	585	121	290	36	8	266	66	-26	+1	-1	+12	+14	-0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#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
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#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 4 projected seasons	3.0	2,015	43	31	193	271	314	+36	+16	1.5	1.5
/162	664	14	10	+11.9	+5.3	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
Alex Birge (OGILVIE)	23	—	—	—	—	175/258/282	107	289	6	6	40%	8%	56	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jackson Cluff 2021 · A	24	40→30	42→45	51→60	40	198/263/305	106	283	9	12	32%	6%	61	-1.5	183/253/275	92	279	7	13	35%	7%	51	-2.2	179/271/301	122	264	12	28	34%	10%	62	-0.8
✕Jacob Wetzel 2023 · A	23	39→34	44→45	49→50	45	195/276/305	110	270	12	10	31%	8%	67	-1.1	191/265/303	112	284	10	13	34%	8%	61	-1.5	178/252/295	117	273	8	16	35%	8%	53	-1.1
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/254/321	133	272	15	10	35%	6%	62	-1.4	207/272/348	141	302	15	9	35%	6%	75	-0.5	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Cody Morissette 2023 · A	23	37→30	46→45	45→55	41	194/258/316	122	265	14	5	32%	7%	62	-1.4	182/235/295	113	244	13	11	30%	6%	49	-2.4	182/237/299	117	239	14	19	29%	6%	48	-1.4
✕Jose Brizuela 2016 · A	23	42→39	44→50	50→45	45	207/273/328	121	277	11	7	28%	8%	70	-0.8	210/268/335	125	296	14	5	32%	7%	70	-0.9	191/245/320	130	262	17	1	34%	6%	56	-0.8
✕Tyler Frost 2019 · A	23	37→33	47→50	48→50	38	192/250/330	138	280	15	6	36%	6%	62	-1.4	189/245/304	115	321	12	8	42%	6%	54	-2.0	164/220/265	100	296	10	9	46%	5%	34	-2.7
✕Carlos Soto 2022 · A	23	40	45	45→30	48	200/279/321	122	272	12	3	30%	9%	71	-0.8	196/272/310	114	293	10	5	34%	9%	66	-1.1	142/232/239	97	223	7	0	37%	10%	34	-1.0
✕Mark Fleury 2011 · A	23	40	45	48→45	42	201/261/329	128	269	12	4	30%	7%	66	-1.1	201/276/300	99	299	7	6	32%	9%	65	-1.2	186/276/263	78	284	4	6	33%	10%	55	-0.7
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	178/243/275	96	258	9	4	33%	7%	47	-2.6	210/262/307	97	279	8	3	26%	6%	61	-1.5	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Tristan Gray 2019 · A	23	38→35	47→50	42→40	39	197/247/339	142	273	14	6	33%	6%	63	-1.4	201/266/339	138	261	15	4	28%	7%	70	-0.8	198/254/329	130	265	15	3	30%	6%	62	-0.9
✕Sicnarf Loopstok 2016 · A	23	40→37	49→50	53→50	39	207/268/353	146	287	16	9	33%	6%	74	-0.5	208/273/341	133	295	14	10	33%	6%	74	-0.6	202/274/346	144	284	16	9	33%	6%	75	-0.3
✕Randy Florentino 2023 · A	23	37	40→50	47→45	41	185/249/273	88	279	9	6	35%	8%	49	-2.4	200/248/288	88	265	8	6	26%	6%	51	-2.3	188/228/265	77	236	7	4	24%	5%	36	-1.0
✕Kevin Padlo 2019 · A	23	36→40	44→50	45→50	43	180/261/297	117	271	11	7	36%	9%	59	-1.6	201/279/356	155	288	17	9	34%	9%	80	-0.2	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Kellin Deglan 2015 · A	23	36→35	48→50	46→40	38	192/250/329	137	270	16	3	34%	6%	62	-1.4	188/236/309	121	289	15	4	39%	5%	52	-2.2	178/246/286	108	276	12	2	38%	6%	48	-0.7
✕Jason Lopez 2021 · A	23	40	43→50	46→45	38	201/248/313	112	281	10	7	32%	5%	57	-1.8	196/259/294	98	295	9	10	34%	8%	57	-1.8	166/232/250	84	247	9	10	35%	8%	35	-0.9
✕Sean Coughlin 2008 · A	23	40→37	41→50	43→30	41	194/262/294	99	288	9	3	34%	7%	58	-1.7	212/283/340	128	259	14	2	23%	8%	77	-0.3	209/282/337	128	246	15	1	21%	8%	76	-0.2
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Nathan Perry 2022 · A	23	39	43→45	46→30	42	195/264/305	111	265	10	5	29%	7%	62	-1.4	209/267/325	116	270	12	6	27%	6%	68	-1.0	193/247/301	107	232	15	2	24%	6%	52	-0.7
✕Blake Hunt 2022 · AA	23	35	43→45	49→40	39	180/241/289	109	274	11	4	37%	7%	49	-2.4	201/257/318	117	274	12	4	30%	6%	62	-1.4	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Torsten Boss 2014 · A	23	41→38	41→45	48→45	42	201/259/302	101	285	9	6	32%	7%	59	-1.7	193/261/307	114	299	12	5	37%	8%	61	-1.5	150/233/267	117	237	14	1	40%	9%	40	-1.6

Career Stats + Projections

Career Comps

Career Path Comps