Andrew Fischer

3B Biloxi Shuckers

Age 23 L/R 6'0" / 210 lbs AA HR +10%K +6% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP50OGV rank#31ETA2028MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	A+MIL	87	.311/.407/.446	1	8	82	—	.247/.326/.364
2026	22	AA/A+MIL	560	.273/.420/.654	48	9	127	—	.217/.331/.513
2027PROJMLE	23	MLBMIL	4	.236/.335/.503	0	0	131	0.0
2028PROJ43% MLB	24	MLBMIL	219	.238/.337/.503	14	3	131	1.3
2029PROJ62% MLB	25	MLBMIL	328	.239/.337/.501	20	5	131	2.0

Next 3 projected WAR 3.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$7M2032Arb-2$10M2033Arb-3$13M

Skills · percentileMiLB Statcast 2026 AA

ISO99

BB%96

wRC+95

wOBA94

Chase%74

Speed42

Career WAR0.0 WAR median (P10 -4.2 / P90 28, comp-based) · star 9% · didn't stick 67%

CompsGleyber Torres (age 23) · Kyle Schwarber (age 25) · Miguel Sanó (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†131

AVG/OBP/SLG.236 / .335 / .503

PA4

HR0

K%25

BB%12

BABIP288

ISO265

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$59M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.3	$10M	+$9M
2029	Pre-Arb	$0.8M	+2.0	$14M	+$13M
2030	Pre-Arb	$0.8M	+2.2	$14M	+$13M
2031	Arb-1	$7M	+2.2	$13M	+$9M
2032	Arb-2	$10M	+2.0	$11M	+$5M
2033	Arb-3	$13M	+1.7	$9M	+$2M
Totals		$33M		$70M	+$51M

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	21	A+	Wisconsin Timber Rattlers	—	87	74	23	5	1	1	11	22	1	8	2	311	407	446	853	135	423	25	13	379	82	—	—	—	—	—	—
2026	22	AA	Biloxi Shuckers	—	314	248	63	7	2	28	57	103	2	5	4	254	397	637	1.034	383	282	33	18	431	125	—	—	—	—	—	—
2026	22	A+	Wisconsin Timber Rattlers	—	246	191	57	10	1	20	45	82	7	4	5	298	449	675	1.124	377	402	33	18	472	129	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	77	19	4	1	1	8	30	1	8	2	247	326	364	689	117	360	34	9	289	82	—	—	—	—	—	—
2026	22	AA MLE	Biloxi Shuckers	—	314	266	56	6	2	24	39	126	2	5	4	211	316	519	835	308	247	40	12	353	125	—	—	—	—	—	—
2026	22	A+ MLE	Wisconsin Timber Rattlers	—	246	204	46	7	1	16	32	104	7	4	5	225	350	505	855	279	329	42	13	359	129	—	—	—	—	—	—
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	77	19	4	1	1	8	30	1	8	2	247	326	364	689	117	383	34	9	289	82	—	—	—	—	—	—
2025	21	A+ RAW	Wisconsin Timber Rattlers	—	87	74	23	5	1	1	11	22	1	8	2	311	407	446	853	135	423	25	13	379	82	—	—	—	—	—	—
2026	22	AA MLE	2 teams	—	560	470	102	14	3	39	71	230	9	9	9	217	331	509	839	291	299	41	13	356	127	—	—	—	—	—	—
2026	22	AA RAW	2 teams	—	560	439	120	17	3	48	102	185	9	9	9	273	420	654	1.074	380	333	33	18	449	127	—	—	—	—	—	—
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	78	19	4	1	1	8	30	1	8	2	244	326	359	685	115	360	34	9	289	82	—	—	—	—	—	—
2026	22	AA MLE	2 teams	—	560	475	102	14	3	39	71	230	9	9	9	215	331	503	834	288	283	41	13	356	127	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	78	19	4	1	1	8	30	1	8	2	244	326	359	685	115	360	34	9	289	82	—	—	—	—	—	—
2026	22	AA MLE	2 teams	—	560	475	102	14	3	39	71	230	9	9	9	215	331	503	834	288	283	41	13	356	127	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIL	2%	536	462	110	17	3	33	63	174	6	9	4	235	335	494	829	259	292	32	12	361	131	+19	+0	-2	+2	+12	1.4
▸ 2027 — real world (MLB)
2027	23	MLB CTX	MIL	2%	4	4	0	0	0	0	0	1	0	0	0	236	335	503	838	267	288	25	0	364	131	+0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIL	43%	507	437	104	16	2	31	59	161	6	8	4	238	336	495	831	258	293	32	12	362	131	+19	+0	-1	+2	+11	3.1
2029	25	MLB MLE	MIL	62%	526	454	108	17	2	31	61	164	6	8	4	239	336	493	829	254	293	31	12	361	131	+19	+0	-1	+2	+11	3.2
2030	26	MLB MLE	MIL	71%	533	461	110	18	2	31	61	164	6	7	4	239	336	488	824	250	292	31	11	359	129	+19	-0	-1	+2	+12	3.1
2031	27	MLB MLE	MIL	74%	532	461	110	18	2	30	60	162	6	7	4	238	334	481	815	243	291	30	11	356	127	+17	-0	-1	+2	+12	3.0
2032	28	MLB MLE	MIL	75%	526	456	109	18	2	29	59	159	6	6	4	236	331	473	803	236	290	30	11	352	124	+15	-0	-2	+2	+11	2.7
2033	29	MLB MLE	MIL	74%	516	448	105	17	2	28	58	157	5	5	4	234	328	466	794	232	288	30	11	348	122	+13	-1	-3	+2	+11	2.4
2034	30	MLB MLE	MIL	73%	506	440	102	16	2	27	56	156	5	5	5	230	324	457	781	227	285	31	11	343	118	+11	-1	-3	+2	+11	2.0
2035	31	MLB MLE	MIL	72%	494	432	98	16	2	25	54	154	5	3	10	226	319	446	765	221	281	31	11	337	114	+8	-3	-4	+2	+11	1.4
2036	32	MLB MLE	MIL	72%	482	423	93	14	2	24	52	153	4	4	13	220	313	433	745	213	276	32	11	329	109	+5	-4	-5	+2	+10	0.8
2037	33	MLB MLE	MIL	72%	392	344	73	11	1	19	42	126	3	2	35	213	305	416	721	203	270	32	11	319	102	+1	-14	-5	+1	+8	-0.8
2028	24	MLB CTX	MIL	43%	219	188	46	7	1	14	26	69	3	3	2	238	337	503	840	266	289	32	12	365	131	+8	-0	-1	+1	+5	1.3
2029	25	MLB CTX	MIL	62%	328	283	68	10	2	20	38	102	4	5	2	239	337	501	837	262	289	31	12	364	131	+12	+0	-1	+1	+7	2.0
2030	26	MLB CTX	MIL	71%	381	330	79	12	2	23	44	117	4	5	3	239	336	496	831	257	288	31	12	362	129	+13	-0	-1	+1	+8	2.2
2031	27	MLB CTX	MIL	74%	392	340	81	12	2	23	45	119	4	5	3	238	334	488	822	250	288	30	11	359	127	+13	-0	-1	+1	+8	2.2
2032	28	MLB CTX	MIL	75%	393	342	80	12	2	22	44	119	4	5	3	236	331	479	810	243	286	30	11	354	124	+11	-0	-1	+1	+9	2.0
2033	29	MLB CTX	MIL	74%	379	330	77	12	2	21	42	116	4	4	3	233	328	472	800	239	284	31	11	350	122	+10	-0	-2	+1	+8	1.7
2034	30	MLB CTX	MIL	73%	368	320	73	11	1	20	41	113	4	3	4	230	324	463	787	233	282	31	11	345	118	+8	-1	-2	+1	+8	1.4
2035	31	MLB CTX	MIL	72%	358	313	70	11	1	19	39	112	3	2	8	226	319	453	772	227	278	31	11	339	114	+6	-3	-3	+1	+8	1.0
2036	32	MLB CTX	MIL	72%	348	304	67	10	1	18	38	110	3	3	9	220	313	439	751	219	273	32	11	331	109	+4	-3	-3	+1	+8	0.6
2037	33	MLB CTX	MIL	72%	282	248	52	7	1	14	30	91	2	2	25	213	305	422	726	209	267	32	11	321	102	+1	-10	-4	+1	+6	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3448	2998	693	104	15	194	387	1068	35	37	62	231	326	470	796	239	284	31	11	349	122	+85	-17	-18	+12	+75	13.9
/ 162G	—	A+C		—	650	565	132	20	3	37	73	201	7	7	12	234	329	476	805	242	288	31	11	349	122	+16	-3	-3	+2	+14	2.6
Career	—	MLE		—	5871	5084	1176	186	24	328	666	1884	64	75	100	231	328	471	799	240	291	32	11	348	122	+135	-24	-27	+19	+113	22.1
/ 162G	—	MLE		—	650	563	131	21	3	36	74	209	7	8	11	233	329	472	802	240	295	32	11	348	122	+17	-3	-3	+2	+14	2.7

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 AABiloxi Shuckers · 314 PAwOBA .427 → .353 (−74)K% 32.8% → 40.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.80%	÷1.000	×1.220	—	—	40.02%
BB% (unintentional) /PA	17.52%	÷1.000	×0.680	—	×1.042	12.41%
HBP% /PA	0.64%	—	×0.840	—	×1.042	0.56%
Singles /BIP	17.93%	÷1.000	×0.920	×0.950	×1.042	16.33%
Doubles /BIP	4.83%	÷1.000	×0.910	×0.950	×1.042	4.35%
Triples /BIP	1.38%	÷1.000	×0.880	×0.950	×1.042	1.20%
Home runs /BIP	19.31%	÷1.000	×0.800	—	×1.042	16.10%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .427 → .353; ISO .383 → .328; BABIP .282 → .247. 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+Wisconsin Timber Rattlers · 246 PAwOBA .464 → .359 (−105)K% 33.3% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.000	×1.270	—	—	42.33%
BB% (unintentional) /PA	17.89%	÷1.000	×0.710	—	×1.012	12.85%
HBP% /PA	2.85%	—	×0.790	—	×1.012	2.27%
Singles /BIP	23.85%	÷1.000	×0.920	×0.950	×1.012	21.10%
Doubles /BIP	9.17%	÷1.000	×0.810	×0.950	×1.012	7.14%
Triples /BIP	0.92%	÷1.000	×0.850	×0.950	×1.012	0.75%
Home runs /BIP	18.35%	÷1.000	×0.800	—	×1.012	14.86%

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 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .464 → .359; ISO .377 → .292; BABIP .402 → .329. 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+Wisconsin Timber Rattlers · 87 PAwOBA .374 → .289 (−85)K% 25.3% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.29%	÷0.943	×1.270	—	—	34.05%
BB% (unintentional) /PA	12.64%	÷0.965	×0.710	—	×1.027	9.55%
HBP% /PA	1.15%	—	×0.790	—	×1.027	0.93%
Singles /BIP	30.77%	÷1.023	×0.920	×0.950	×1.027	26.99%
Doubles /BIP	9.62%	÷1.013	×0.810	×0.950	×1.027	7.50%
Triples /BIP	1.92%	÷0.900	×0.850	×0.950	×1.027	1.77%
Home runs /BIP	1.92%	÷1.246	×0.800	—	×1.027	1.27%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 149, 1B 105, 2B 103, 3B 80, K 89, BB 93 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .374 → .289; ISO .135 → .097; BABIP .423 → .360. 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
#1Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#2Rico Petrocelli'63-'76 * career totals — 12 seasons, 6,170 PA	9.3	6,170	210	10	258*	339*	470*	+43	-2	29.8	28.0
/162	664	23	1	+4.6	-0.2	3.2	pk7: 26
#3Howard Johnson'82-'95 * career totals — 14 seasons, 5,715 PA	8.6	5,715	228	231	246*	339*	473*	+18	-66	28.2	27.4
/162	664	26	27	+2.1	-7.7	3.3	pk7: 27
#4Todd Frazierlast yr '20 career totals — 10 seasons, 4,909 PA	7.4	4,909	218	73	242	319	448	+18	+35	27.6	26.2
/162	664	29	10	+2.4	+4.7	3.7	pk7: 25
#5Dean Palmer'89-'03 * career totals — 12 seasons, 5,513 PA	8.3	5,513	275	48	240*	312*	466*	-0	-57	18.1	17.7
/162	664	33	6	-0.0	-6.8	2.2	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.2	3,452	187	37	232	324	467	+12	-17	17.6	16.5
/162	664	36	7	+2.4	-3.2	3.4	pk7: 15
#6Travis Shawlast yr '21 career totals — 7 seasons, 2,671 PA	4.0	2,671	114	20	239	322	441	+4	+6	13.4	13.4
/162	664	28	5	+1.1	+1.6	3.3	pk7: 13

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
Andrew Fischer (OGILVIE)	23	—	—	—	—	233/332/490	257	292	13	3	32%	12%	131	+1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Gleyber Torres 2020 · MLB	23	50→55	60	45→50	48	269/328/483	214	305	30	7	23%	8%	126	+3.2	258/325/424	166	303	20	10	21%	9%	112	+2.2	259/345/399	140	294	17	6	17%	11%	114	+2.6
★Kyle Schwarber 2018 · MLB	25	42→49	66→70	43→45	53	236/331/485	248	284	35	4	30%	12%	128	+3.3	233/322/478	245	271	34	4	28%	11%	123	+3.0	231/350/489	258	271	37	5	29%	14%	136	+4.7
●Miguel Sanó 2016 · MLB	23	48→52	60→70	48→45	50	245/334/471	226	333	28	7	33%	11%	126	+3.2	241/323/458	217	343	29	3	35%	11%	119	+2.7	239/326/486	247	331	35	0	36%	11%	127	+2.5
★Adam Dunn 2004 · MLB	24	43→49	61→70	48→50	62	233/357/461	227	274	29	13	26%	15%	132	+3.6	245/360/513	268	287	35	7	27%	14%	144	+4.5	243/362/519	277	281	37	5	27%	15%	147	+5.4
●Russell Branyan 2001 · MLB	25	46→43	68→70	49→45	46	252/332/518	266	322	37	5	33%	9%	136	+3.9	234/319/471	237	318	32	4	35%	10%	120	+2.8	242/324/500	258	295	36	3	30%	10%	130	+2.5
●Eric Chavez 2001 · MLB	23	51→53	58→65	44→45	54	268/337/476	207	284	26	4	17%	9%	128	+3.3	274/328/504	230	289	29	7	17%	7%	131	+3.6	271/346/497	226	283	29	7	16%	10%	137	+4.2
●Joey Gallo 2019 · MLB	25	33→36	69→70	44→45	50	205/309/480	274	260	38	6	37%	12%	119	+2.7	214/329/474	260	282	36	7	35%	14%	125	+3.2	201/336/455	254	260	35	6	36%	16%	123	+1.9
●Jay Bruce 2010 · MLB	23	48→56	60→65	46→50	46	257/313/473	216	296	28	9	24%	7%	118	+2.7	254/320/462	208	297	26	8	23%	9%	118	+2.7	252/320/465	214	294	27	7	24%	9%	119	+2.8
●Eloy Jiménez 2020 · MLB	23	51→57	59→65	42→40	42	268/312/478	209	312	28	2	24%	6%	120	+2.8	267/316/471	204	318	28	2	25%	6%	120	+2.8	270/324/464	194	321	28	0	24%	7%	121	+1.4
★Mark Reynolds 2008 · MLB	24	49→56	57→65	43→50	44	253/315/457	204	329	25	3	30%	8%	116	+2.5	243/326/474	231	326	30	11	33%	10%	124	+3.1	229/324/470	241	302	33	13	34%	11%	123	+3.1
✕Francisco Alvarez 2023 · AAA	21	46→47	59→60	43→40	48	242/325/451	209	307	28	4	30%	9%	118	+2.7	235/309/436	201	288	27	4	28%	9%	109	+2.0	231/307/434	204	276	28	2	27%	9%	108	+1.3
●Andy Pages 2022 · A	21	42→52	59→60	45→50	47	225/317/433	209	295	27	6	32%	10%	112	+2.2	225/305/404	179	293	21	7	29%	8%	100	+1.3	269/326/453	184	315	23	10	22%	6%	121	+2.8
★Yordan Alvarez 2021 · MLB	24	52→55	70	45	50	281/353/560	279	328	38	5	26%	10%	153	+5.2	282/362/552	270	313	36	3	22%	10%	154	+5.3	292/382/569	278	301	38	2	17%	11%	166	+5.8
●Stephen Drew 2006 · AA	23	51→57	56→55	43→45	50	263/328/463	201	308	23	7	22%	8%	122	+2.9	257/308/420	163	296	16	6	18%	7%	103	+1.6	268/323/446	179	301	15	6	16%	7%	116	+2.6
★Cody Bellinger 2018 · MLB	23	44→54	64→70	52→50	47	245/313/487	242	292	33	12	29%	9%	122	+3.0	268/342/515	247	300	31	13	22%	10%	139	+4.1	271/351/521	250	294	31	14	20%	11%	146	+4.0
★Prince Fielder 2008 · MLB	24	49→59	66→70	44→45	53	270/348/530	260	283	35	5	20%	9%	145	+4.6	271/361/519	248	290	33	3	19%	11%	147	+4.7	274/377/519	245	291	32	1	18%	12%	153	+6.1
●Carlos Correa 2018 · MLB	23	55→61	57→60	50→55	54	285/356/488	204	324	25	10	20%	10%	137	+4.0	259/335/455	196	305	25	5	23%	10%	122	+3.0	263/344/444	182	303	22	0	20%	10%	124	+3.1
✕AJ Reed 2016 · AA	23	52→56	58→60	48→30	47	267/333/471	204	336	26	2	28%	9%	126	+3.2	229/299/416	187	301	24	2	31%	9%	101	+1.4	207/281/394	187	268	25	0	32%	9%	88	+0.4
●Miguel Montero 2006 · AA	23	51→58	56→55	44→40	43	269/317/459	190	300	25	4	20%	5%	117	+2.6	247/308/405	158	276	19	3	18%	7%	101	+1.4	267/343/423	156	316	17	0	20%	9%	119	+2.2
★Austin Riley 2022 · MLB	25	53→59	61→65	39→45	45	277/338/497	220	335	30	2	26%	7%	134	+3.8	275/342/505	230	326	30	3	24%	8%	137	+4.0	269/338/500	231	316	30	2	24%	8%	135	+4.1

Andrew Fischer

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps