Andrew Knizner — OGILVIE

Andrew KniznerC Albuquerque Isotopes

Age 31 R/R 6'0" / 225 lbs AAA H +10%K -4% Svc 5.523 · Ctrl thru 2026 peak 0.3 · 2026

wRC+†vL 2766vR 31

AVG/OBP/SLG.204 / .273 / .316

PA262

HR5

K%21

BB%6

MLB%10%

Scouting · now → future

HIT

45→45

PWR

35→35

SPD

40→40

EYE

45↘30

trajectory · 10 yrs

0.1peak

2026

Contract

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

Status Arb-3

MLB Debut 2019

Service 5.523 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$1M	+0.3	$1M	+$0.2M
Totals		$1M		$1M	+$0.2M

Career Projections (MLE)

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	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
2016	21	ROK	Johnson City Cardinals	222	192	50	9	1	5	14	30	14	0	0	.260	.355	.396	.750	.135	.283	14	6	.316	100	+0	+0	+0	+4	+6	1.0
2017	22	AA	3 teams	465	437	114	23	1	11	18	73	6	1	2	.261	.299	.394	.693	.133	.289	16	4	.299	87	-7	-1	+0	+8	+13	1.4
2018	23	AA	2 teams	374	344	95	15	0	6	18	63	5	0	1	.276	.322	.372	.694	.096	.318	17	5	.302	89	-5	-0	+0	+7	+11	1.3
2019	24	AAA	2 teams	338	307	69	10	0	12	20	62	9	4	0	.225	.292	.375	.666	.150	.243	18	6	.292	81	-7	+1	-3	+6	+10	0.7
2020	25	MLB	St. Louis Cardinals	17	16	4	1	0	0	0	5	0	0	0	.250	.250	.312	.562	.062	.333	29	0	.244	45	-1	+0	+0	+0	+0	-0.0
2021	26	MLB	2 teams	205	179	30	7	0	1	22	43	4	1	0	.168	.273	.223	.497	.056	.215	21	11	.239	41	-14	+0	-3	+4	+6	-0.7
2022	27	MLB	St. Louis Cardinals	293	260	56	10	0	4	26	62	6	0	1	.215	.301	.300	.601	.085	.268	21	9	.274	68	-11	-0	-2	+5	+8	-0.0
2023	28	MLB	St. Louis Cardinals	241	224	54	12	0	10	12	62	3	2	0	.241	.289	.429	.717	.187	.288	26	5	.308	94	-2	+0	-4	+4	+7	0.6
2024	29	AAA	3 teams	239	224	39	5	0	3	9	63	4	1	0	.174	.219	.237	.456	.062	.225	26	4	.201	12	-24	+0	+1	+4	+7	-1.1
2025	30	AAA	2 teams	217	181	50	10	1	2	20	33	12	0	1	.276	.385	.376	.761	.099	.322	15	9	.343	121	+5	-0	+3	+4	+6	1.8
▸ 2026 Season (actual · ROS · total)
2026	31	AAA	Albuquerque Isotopes	33	28	4	0	0	2	4	8	1	0	0	.143	.273	.357	.630	.214	.111	24	12	.283	75	-1	+0	+0	+1	+1	0.1
ROS	31	MLB	COL	229	206	42	8	1	5	14	49	7	1	1	.204	.278	.325	.603	.121	.236	21	6	.270	65	-9	-0	+1	+4	+6	0.3
TOT	31	MLB	COL	262	234	46	8	1	7	18	57	8	1	1	.197	.277	.329	.606	.132	.228	22	7	.272	66	-10	-0	+1	+5	+7	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	COL	228	204	42	8	1	5	15	46	7	1	0	.206	.283	.328	.612	.123	.230	20	7	.271	66	-9	+0	-2	+4	+6	-0.0
2028	33	MLB 33%	COL	194	174	33	6	0	4	12	40	6	0	0	.190	.266	.293	.559	.103	.228	21	6	.265	61	-9	+0	-3	+3	+5	-0.3
2029	34	MLB 43%	COL	151	136	26	5	0	3	10	33	4	0	0	.191	.267	.294	.561	.103	.226	22	7	.259	56	-7	+0	-4	+3	+4	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			3413	3084	704	129	5	71	210	664	87	11	6	.228	.296	.342	.638	.114	.267	19	6	.283	75	-98	-0	-16	+61	+97	4.5
/ 162G	—			650	587	135	25	1	14	40	126	17	2	1	.230	.299	.348	.646	.118	.268	19	6	.283	75	-19	+0	-3	+12	+18	0.9

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2016	21	ROK	Johnson City Cardinals	222	185	59	12	1	6	21	21	14	0	0	.319	.427	.492	.919	.173	.331	9	9	.408	171	+18	+0	—	—	+6	2.4
2017	22	AA	Springfield Cardinals	202	182	59	13	0	4	14	27	2	0	1	.324	.379	.462	.840	.137	.355	13	7	.368	139	+9	-0	—	—	+6	1.5
2017	22	A	Peoria Chiefs	191	179	50	10	1	8	9	22	3	1	1	.279	.325	.480	.805	.201	.282	12	5	.354	129	+6	-0	—	—	+5	1.2
2017	22	INTL	Surprise Saguaros	72	67	24	3	0	3	4	11	1	0	0	.358	.403	.537	.940	.179	.396	15	6	.415	176	+6	+0	—	—	+2	0.8
2018	23	AAA	Memphis Redbirds	61	54	17	5	0	0	4	8	2	0	0	.315	.383	.407	.791	.093	.370	13	7	.353	128	+2	+0	—	—	+2	0.4
2018	23	AA	Springfield Cardinals	313	281	88	13	0	7	23	40	3	0	1	.313	.371	.434	.805	.121	.339	13	7	.355	130	+10	-0	—	—	+9	1.9
2019	24	MLB	St. Louis Cardinals	58	53	12	2	0	2	4	14	1	2	0	.226	.293	.377	.670	.151	.270	24	7	.302	89	-1	+0	-3	+6	+2	0.5
2019	24	AAA	Memphis Redbirds	280	246	68	10	0	12	24	37	8	2	0	.276	.360	.463	.823	.187	.281	13	9	.365	137	+12	+0	—	—	+8	2.0
2020	25	MLB	St. Louis Cardinals	17	16	4	1	0	0	0	5	0	0	0	.250	.250	.312	.562	.062	.333	29	0	.235	38	-1	+0	+0	+0	+0	-0.0
2021	26	MLB	St. Louis Cardinals	185	161	28	7	0	1	20	39	4	0	0	.174	.281	.236	.517	.062	.223	21	11	.249	49	-11	+0	-3	+4	+5	-0.5
2021	26	INTL	Tigres del Licey	20	17	5	1	0	0	3	2	0	1	0	.294	.400	.353	.753	.059	.333	10	15	.350	126	+1	+0	—	—	+1	0.1
2022	27	MLB	St. Louis Cardinals	293	260	56	10	0	4	26	62	6	0	1	.215	.301	.300	.601	.085	.268	21	9	.279	72	-9	-0	-2	+5	+8	0.1
2023	28	MLB	St. Louis Cardinals	241	224	54	11	0	10	12	62	3	2	0	.241	.289	.424	.713	.183	.288	26	5	.313	98	-1	+0	-4	+4	+7	0.7
2024	29	MLB	Texas Rangers	93	90	15	1	0	1	1	22	1	0	0	.167	.185	.211	.396	.044	.206	24	1	.178	-5	-11	+0	+1	+4	+3	-0.3
2024	29	AAA	Reno Aces	113	99	23	4	0	2	10	24	3	1	0	.232	.321	.333	.655	.101	.284	21	9	.300	88	-2	+0	—	—	+3	0.2
2024	29	INTL	Gigantes del Cibao	33	31	8	2	0	0	2	10	0	0	0	.258	.303	.323	.626	.065	.381	30	6	.285	76	-1	+0	—	—	+1	0.0
2025	30	MLB	San Francisco Giants	88	77	17	1	1	1	7	10	2	0	0	.221	.302	.299	.601	.078	.239	11	8	.273	67	-3	+0	+3	+4	+2	0.6
2025	30	AAA	Sacramento River Cats	129	98	37	11	0	1	19	18	10	0	1	.378	.520	.520	1.040	.143	.444	14	15	.461	211	+16	-0	—	—	+4	2.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			975	881	186	33	1	19	70	214	17	4	1	.211	.282	.316	.598	.104	.256	22	7	.272	66	-37	+0	-8	+28	+28	1.0

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 Knizner (OGILVIE)	31	45	35	40	30	.204/.273/.316	.112	.244	5	2	21%	6%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sharlon Schoop 2018 · AAA	31	42→44	43→40	44→45	42	.211/.257/.318	.107	.265	11	4	25%	5%	56	-1.3	.220/.278/.344	.124	.288	13	7	27%	6%	72	-0.2	.197/.269/.280	.084	.271	9	0	29%	7%	50	-0.3
✕Omir Santos 2012 · MLB	31	45→44	42→45	47→30	42	.222/.256/.322	.100	.256	10	4	19%	4%	56	-1.3	.221/.249/.313	.092	.283	7	4	24%	3%	50	-1.7	.226/.248/.310	.084	.294	5	0	25%	2%	47	-0.7
✕Carlos Maldonado 2010 · MLB	31	44→50	43→40	44→40	48	.220/.278/.330	.110	.261	12	5	20%	7%	69	-0.4	.208/.269/.310	.102	.270	10	6	25%	7%	59	-1.1	.185/.259/.279	.094	.244	10	2	27%	9%	46	-0.6
✕Matt Pagnozzi 2014 · MLB	31	40	41→45	42→40	42	.199/.255/.295	.096	.260	10	3	27%	6%	50	-1.8	.201/.257/.314	.113	.259	14	4	27%	6%	56	-1.3	.190/.248/.296	.106	.242	15	1	28%	6%	46	-0.8
✕Bryan Holaday 2018 · MLB	30	45	47→45	37→40	42	.226/.271/.359	.133	.262	14	3	20%	4%	73	-0.1	.227/.286/.345	.118	.263	12	4	18%	6%	76	+0.1	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Rocky Gale 2019 · AAA	31	48→46	38→40	43→30	42	.230/.269/.309	.079	.280	6	3	20%	4%	58	-1.2	.226/.258/.309	.083	.288	7	6	23%	4%	53	-1.5	.225/.254/.285	.060	.294	5	3	24%	3%	42	-0.7
✕Xorge Carrillo 2019 · AAA	30	45	42→40	45→30	41	.221/.269/.318	.097	.283	10	4	25%	5%	62	-0.9	.243/.300/.367	.124	.283	13	7	18%	6%	87	+0.8	.264/.325/.383	.119	.292	13	2	14%	6%	98	+0.6
✕Gregorio Petit 2016 · MLB	31	49→54	41→45	40→50	41	.236/.269/.334	.098	.282	8	4	20%	4%	65	-0.7	.232/.268/.328	.096	.289	7	6	21%	4%	63	-0.9	.236/.272/.313	.078	.295	4	7	21%	4%	57	-0.6
✕Julius Matos 2006 · MLB	31	47	41→40	42→40	41	.227/.259/.324	.097	.259	9	7	17%	3%	58	-1.2	.228/.267/.314	.086	.284	8	7	22%	4%	59	-1.1	.237/.277/.244	.007	.330	0	0	27%	5%	43	-0.4
✕Tuffy Gosewisch 2014 · MLB	30	42→44	43→45	39→40	41	.211/.253/.324	.113	.249	11	4	21%	4%	56	-1.3	.217/.259/.324	.107	.258	10	5	20%	5%	58	-1.2	.220/.265/.328	.108	.255	11	2	18%	5%	59	-0.4
✕Jose Heberto Felix 2019 · AAA	31	50	40	42→40	44	.238/.262/.318	.079	.253	8	6	11%	3%	56	-1.3	.233/.271/.335	.102	.260	11	8	15%	4%	66	-0.6	.235/.268/.309	.075	.257	9	3	13%	2%	54	-0.5
✕Tony Cruz 2017 · MLB	30	45→37	42→45	41→40	46	.219/.274/.320	.101	.276	9	5	24%	7%	63	-0.8	.218/.270/.342	.124	.289	14	5	29%	6%	68	-0.5	.219/.269/.342	.123	.294	15	0	30%	4%	67	-0.2
✕Chris Ashby 2006 · AAA	31	46	40	41→45	46	.220/.268/.307	.086	.254	8	5	17%	5%	58	-1.2	.230/.283/.331	.101	.272	10	6	19%	6%	71	-0.3	.231/.290/.329	.098	.273	11	3	19%	7%	70	-0.1
✕Cody Clark 2012 · AAA	30	44	45	43→40	44	.220/.268/.342	.121	.254	12	5	19%	5%	67	-0.5	.189/.232/.274	.085	.237	8	4	23%	5%	34	-2.8	.157/.197/.212	.055	.200	6	0	24%	4%	0	-1.9
✕Tyler Ladendorf 2019 · MLB	31	43→49	38→40	45→50	45	.205/.259/.282	.078	.254	6	8	22%	6%	48	-1.9	.209/.263/.314	.105	.272	10	8	26%	6%	58	-1.2	.192/.237/.331	.139	.245	18	2	30%	4%	50	-0.6
✕Jhonatan Solano 2017 · MLB	31	44	40→45	47→40	44	.210/.249/.294	.084	.237	8	4	16%	4%	46	-2.0	.217/.260/.308	.091	.245	8	6	15%	4%	55	-1.4	.217/.256/.296	.079	.234	7	0	11%	3%	47	-0.5
✕Yamid Haad 2009 · AAA	31	42	41→45	47→40	41	.206/.252/.299	.093	.261	9	7	25%	5%	49	-1.8	.226/.265/.331	.105	.288	10	5	24%	5%	63	-0.9	.236/.274/.340	.104	.296	10	2	23%	5%	67	-0.3
✕Dusty Brown 2012 · MLB	30	42	45	43→30	44	.212/.270/.334	.122	.272	12	4	26%	7%	66	-0.6	.213/.286/.364	.151	.271	16	6	26%	9%	82	+0.5	.184/.291/.331	.147	.224	15	0	25%	13%	76	+0.0
✕Alex Prieto 2007 · MLB	31	44	41→40	44→45	45	.215/.266/.309	.094	.269	9	9	23%	6%	57	-1.2	.219/.271/.326	.107	.269	9	9	21%	6%	64	-0.8	.219/.273/.332	.112	.262	8	5	19%	6%	61	-0.3
✕Javier Colina 2010 · AAA	31	47→52	44→45	45	43	.233/.274/.350	.117	.272	11	8	19%	5%	72	-0.2	.213/.253/.331	.118	.258	11	7	22%	5%	58	-1.2	.161/.187/.283	.122	.183	13	0	21%	2%	17	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)