Andrew Fischer — OGILVIE

Andrew Fischer3B Biloxi Shuckers

Age 22 L/R 6'0" / 210 lbs AA HR +10%K +6% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION556 act + 9 ros · stats below = ROS only

showingROS

wRC+†119

AVG/OBP/SLG.250 / .333 / .625

PA9

HR0

K%33

BB%11

BABIP288

ISO375

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$65M ctrl surplus

Tools · ContractCON 47 / POW 60

Toolsscout grade

CONTACT47

scouting grade only

POWER60

scouting grade only

EYE51

scouting grade only

SPEED41

scouting grade only

DEFENSE43

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+1.4	$10M	+$10M
2028	Pre-Arb	$0.8M	+2.0	$14M	+$13M
2029	Pre-Arb	$0.8M	+2.3	$15M	+$14M
2030	Arb-1	$7M	+2.5	$15M	+$10M
2031	Arb-2	$12M	+2.5	$14M	+$7M
2032	Arb-3	$17M	+2.3	$12M	+$3M
Totals		$39M		$79M	+$56M

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	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	143	+4	+1	—	—	+2	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	77	17	3	1	1	8	31	1	8	2	221	302	325	627	104	348	36	9	274	72	-3	+1	—	—	+2	-0.0
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	77	17	3	1	1	8	31	1	8	2	221	302	325	627	104	348	36	9	274	72	—	—	—	—	—	—
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	72	—	—	—	—	—	—
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	78	17	3	1	1	8	31	1	8	2	218	302	321	623	103	348	36	9	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	87	78	17	3	1	1	8	31	1	8	2	218	302	321	623	103	348	36	9	274	72	—	—	—	—	—	—
YTD	22	AA MLE	MIL	—	556	468	96	13	3	37	69	234	9	9	9	205	319	483	802	278	285	42	12	343	118	+12	-2	+0	+2	+12	2.5
▸ 2026 season
YTD	22	A+ RAW	MIL	—	246	191	57	10	1	20	45	82	7	4	5	298	449	675	1.124	377	402	33	18	472	118	—	—	—	—	—	—
YTD	22	AA RAW	MIL	—	310	244	62	7	2	28	57	101	2	5	4	254	399	643	1.043	389	279	33	18	433	118	—	—	—	—	—	—
ROS	22	AA MLE	MIL	2%	9	8	2	0	0	1	1	3	0	0	0	250	333	625	958	375	288	33	11	344	119	+0	+0	-0	+0	+0	0.0
TOT	22	AA MLE	MIL	—	565	476	98	13	3	38	70	237	9	9	9	206	319	485	804	279	284	42	12	343	119	+12	-2	-0	+2	+12	2.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIL	49%	581	501	112	17	3	34	68	211	7	8	5	224	325	473	798	250	297	36	12	349	122	+15	-0	-2	+2	+13	2.8
2028	24	MLB MLE	MIL	65%	609	526	119	18	3	35	71	213	7	9	6	226	326	471	798	245	297	35	12	350	123	+17	-1	-2	+2	+13	3.0
2029	25	MLB MLE	MIL	73%	627	543	124	19	3	36	72	214	7	9	6	228	326	473	800	245	297	34	11	351	124	+18	-1	-2	+2	+14	3.2
2030	26	MLB MLE	MIL	76%	638	551	127	20	3	37	74	216	8	9	6	230	330	479	809	249	297	34	12	352	124	+18	-1	-2	+2	+14	3.2
2031	27	MLB MLE	MIL	76%	635	548	126	20	3	36	74	216	8	9	6	230	330	474	805	245	296	34	12	352	124	+18	-1	-2	+2	+14	3.2
2032	28	MLB MLE	MIL	76%	627	541	123	19	3	36	74	214	7	8	6	227	328	473	801	246	295	34	12	351	123	+17	-1	-3	+2	+14	3.0
2033	29	MLB MLE	MIL	74%	618	533	121	19	3	35	73	212	7	8	5	227	328	471	799	244	294	34	12	349	122	+16	-0	-4	+2	+13	2.8
2034	30	MLB MLE	MIL	73%	607	523	117	18	2	34	72	210	7	8	5	224	326	461	786	237	292	35	12	346	120	+15	-0	-4	+2	+13	2.6
2035	31	MLB MLE	MIL	73%	596	514	113	17	2	33	70	208	7	7	5	220	321	453	775	233	289	35	12	342	117	+12	-1	-5	+2	+13	2.2
2036	32	MLB MLE	MIL	72%	585	504	109	16	2	32	69	206	7	7	4	216	319	446	765	230	285	35	12	336	113	+9	-0	-5	+2	+13	1.9
2037	33	MLB MLE	MIL	72%	505	435	92	13	2	27	59	181	6	5	4	211	314	437	751	225	280	36	12	329	109	+5	-1	-6	+2	+11	1.2
2038	34	MLB MLE	MIL	68%	427	369	74	10	1	22	50	155	5	4	3	201	304	412	716	211	273	36	12	320	102	+1	-0	-6	+2	+9	0.5
2039	35	MLB MLE	MIL	63%	361	312	61	8	1	18	42	134	4	3	2	196	299	401	700	205	265	37	12	309	96	-2	-0	-7	+1	+8	0.0
2027	23	MLB CTX	MIL	49%	286	247	55	8	1	18	34	104	3	4	3	223	324	482	806	259	297	36	12	345	122	+8	-0	-1	+1	+6	1.4
2028	24	MLB CTX	MIL	65%	397	343	79	12	2	24	46	139	5	6	4	230	330	487	817	257	297	35	12	347	123	+11	-0	-1	+1	+9	2.0
2029	25	MLB CTX	MIL	73%	456	395	91	14	2	28	53	156	5	6	4	230	329	489	818	258	296	34	12	347	124	+13	-0	-2	+2	+10	2.3
2030	26	MLB CTX	MIL	76%	486	421	97	15	2	29	56	165	6	7	4	230	329	482	811	252	296	34	12	348	124	+14	-0	-2	+2	+11	2.5
2031	27	MLB CTX	MIL	76%	483	418	96	15	2	29	56	164	6	7	4	230	329	483	812	254	296	34	12	348	124	+14	-0	-2	+2	+10	2.5
2032	28	MLB CTX	MIL	76%	477	412	95	14	2	29	56	163	6	6	4	231	331	485	817	255	295	34	12	347	123	+13	-0	-2	+2	+10	2.3
2033	29	MLB CTX	MIL	74%	459	397	90	14	2	27	54	157	5	6	4	227	327	476	803	249	294	34	12	345	122	+12	-0	-3	+2	+10	2.1
2034	30	MLB CTX	MIL	73%	445	384	87	13	2	26	53	154	5	6	4	227	328	474	802	247	292	35	12	342	120	+11	-0	-3	+2	+10	1.9
2035	31	MLB CTX	MIL	73%	433	374	83	12	2	25	51	151	5	5	3	222	323	465	788	243	289	35	12	338	117	+9	-0	-4	+2	+9	1.6
2036	32	MLB CTX	MIL	72%	423	365	80	12	2	24	50	149	5	5	3	219	321	460	782	241	284	35	12	332	113	+7	-0	-4	+2	+9	1.4
2037	33	MLB CTX	MIL	72%	364	314	66	9	1	20	43	130	4	4	3	210	313	436	749	226	279	36	12	325	109	+4	-0	-4	+1	+8	0.8
2038	34	MLB CTX	MIL	68%	289	250	51	7	1	15	34	105	3	3	2	204	307	420	727	216	272	36	12	316	102	+1	-0	-4	+1	+6	0.4
2039	35	MLB CTX	MIL	63%	228	198	40	5	1	12	26	85	2	2	1	202	301	419	720	217	265	37	11	306	96	-1	+0	-4	+1	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5226	4518	1010	150	22	306	612	1822	60	67	43	224	324	470	794	246	292	35	12	339	118	+114	-4	-35	+19	+113	21.1
/ 162G	—	A+C		—	650	562	126	19	3	38	76	227	7	8	5	224	324	472	796	247	293	35	12	339	118	+14	-0	-4	+2	+14	2.6
Career	—	MLE		—	7512	6485	1437	217	32	417	877	2624	88	102	65	222	322	458	780	236	293	35	12	342	118	+161	-6	-51	+27	+161	29.8
/ 162G	—	MLE		—	650	561	125	19	3	36	76	227	8	9	6	223	324	460	784	237	296	35	12	342	118	+14	-1	-4	+2	+14	2.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curtis Grandersonlast yr '19 AS×3SS career totals — 15 seasons, 8,278 PA	12.5	8,278	344	153	249	337	466	-10	-4	47.5	42.0
/162	664	28	12	-0.8	-0.3	3.8	pk7: 36
#2Kyle Seagerlast yr '21 career totals — 11 seasons, 6,204 PA	9.3	6,204	242	55	251	321	442	+22	+55	35.4	32.4
/162	664	26	6	+2.4	+5.8	3.8	pk7: 29
#3Dan 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
#4Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28
#5Todd 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.9	5,229	292	66	223	320	461	+19	-22	27.0	23.0
/162	664	37	8	+2.4	-2.8	3.4	pk7: 19
#6Evan Gattislast yr '18 career totals — 6 seasons, 2,662 PA	4.0	2,662	139	3	248	300	476	+30	+20	17.0	17.0
/162	664	35	1	+7.6	+4.9	4.2	pk7: 17

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)	22	43→47	55→60	41	51	214/318/463	248	288	10	3	37%	12%	119	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Gleyber Torres 2020 · MLB	23	50→53	60	45→50	49	267/330/480	213	303	29	7	23%	8%	126	+3.2	257/327/422	165	301	20	10	21%	9%	112	+2.2	258/344/398	139	293	17	6	17%	11%	111	+2.3
●Andy Pages 2022 · A	21	41→51	58→55	45→50	46	221/312/425	204	289	27	6	32%	9%	108	+1.9	220/299/395	175	286	20	7	29%	8%	96	+1.0	266/322/445	180	311	23	10	22%	6%	115	+2.3
✕Francisco Alvarez 2022 · A	20	45	59→60	44→40	48	241/324/453	212	300	28	8	29%	9%	118	+2.7	229/305/429	200	282	27	4	29%	9%	106	+1.8	229/304/430	202	273	28	2	27%	9%	104	+1.1
●Cyle Hankerd 2007 · A	22	50→49	63→60	48→45	49	272/346/508	236	291	32	7	20%	7%	139	+4.2	231/287/339	108	272	10	3	18%	5%	78	-0.3	255/333/433	178	299	21	2	21%	6%	115	+1.4
●Miguel Sanó 2015 · AA	22	41→51	59→70	50→45	44	220/297/435	215	300	27	8	35%	9%	105	+1.7	242/328/460	218	341	28	4	34%	11%	121	+2.9	243/334/470	227	339	30	2	35%	11%	122	+2.7
✕Kellen Kulbacki 2009 · A	23	47→46	56→60	38→30	50	248/319/434	185	284	25	4	22%	8%	112	+2.2	220/275/335	115	265	12	6	21%	7%	72	-0.7	193/235/261	68	234	4	5	19%	5%	36	-0.8
●Mark Reynolds 2007 · AA	23	44→54	57→65	43→50	42	234/291/432	198	298	26	3	31%	7%	101	+1.4	253/326/470	217	340	27	8	32%	9%	122	+3.0	255/337/490	236	340	30	12	32%	10%	128	+3.4
★Chris Davis 2009 · MLB	23	49→53	62→65	45→40	38	259/301/492	233	327	31	6	31%	5%	119	+2.7	249/298/434	185	336	23	4	31%	6%	104	+1.6	239/338/503	264	295	37	3	31%	12%	126	+3.4
●Andy LaRoche 2006 · AA	22	48→55	57→55	47→45	44	256/305/446	191	293	26	8	23%	6%	109	+2.0	253/326/412	159	285	19	8	18%	9%	109	+2.0	244/331/387	143	269	17	7	16%	11%	101	+1.1
★Kyle Schwarber 2017 · MLB	24	49→48	58→70	45	52	253/338/459	206	319	27	6	28%	11%	124	+3.1	238/337/486	248	286	34	4	29%	12%	130	+3.5	233/355/495	262	275	38	5	29%	15%	133	+4.3
●Hunter Pence 2006 · A	23	51→61	58→60	46→50	45	266/316/466	200	313	27	7	24%	7%	118	+2.7	271/317/468	197	318	22	11	22%	6%	118	+2.7	284/345/474	190	323	22	10	19%	8%	127	+3.7
●Stephen Drew 2006 · AA	23	50→57	55	43→45	49	259/324/456	196	304	22	7	22%	8%	118	+2.7	256/310/417	161	295	15	6	18%	7%	104	+1.6	271/331/452	181	305	15	6	16%	8%	114	+2.5
●Pedro Álvarez 2010 · AA	23	47	54→65	45	43	240/296/422	182	318	23	4	32%	8%	100	+1.3	234/302/415	181	315	22	3	31%	9%	101	+1.4	241/313/470	229	291	33	4	29%	9%	111	+2.0
✕Jaff Decker 2011 · A	21	46→49	54→55	45→55	51	235/324/415	180	304	22	7	29%	10%	109	+2.0	209/292/354	145	278	16	9	29%	10%	84	+0.1	221/295/327	106	285	9	13	24%	9%	76	-0.3
●Miguel Montero 2006 · AA	23	51→59	56→55	44→40	43	266/313/453	188	296	25	4	20%	5%	114	+2.4	244/307/399	155	273	19	3	18%	7%	99	+1.3	272/357/433	161	325	17	0	20%	10%	117	+2.1
●Jay Bruce 2010 · MLB	23	47→54	58→65	45→50	46	252/309/460	209	291	27	9	24%	7%	114	+2.4	256/330/465	209	301	26	8	23%	10%	123	+3.0	254/334/470	216	299	27	7	24%	10%	115	+2.5
✕Eloy Jiménez 2020 · MLB	23	49→55	58→65	42→40	42	263/306/465	202	305	27	2	24%	6%	114	+2.4	265/314/468	203	316	28	2	25%	6%	118	+2.7	269/323/463	194	320	28	0	24%	7%	119	+1.3
✕Kyle Manzardo 2023 · AA	23	50→43	57→60	44→40	51	259/331/460	200	296	24	4	22%	9%	122	+2.9	225/301/409	184	266	22	3	24%	9%	99	+1.3	222/304/411	189	270	24	2	27%	9%	100	+1.1
●Eric Chavez 2001 · MLB	23	52→54	58→65	44→45	57	272/349/482	210	289	26	4	17%	11%	133	+3.7	279/344/512	233	296	29	7	17%	9%	139	+4.1	276/364/507	231	291	29	7	16%	12%	134	+4.0
✕Zach Borenstein 2014 · A	24	49→54	59→60	48→50	42	258/311/473	214	311	27	9	26%	6%	118	+2.7	234/283/384	150	314	16	9	29%	6%	86	+0.3	215/269/359	144	312	14	9	34%	7%	74	-0.4

Career Stats + Projections

Career Comps

Career Path Comps