Owen Caissie

RF Miami Marlins

Age 25 L/R 6'4" / 190 lbs MLB HR -10%H -3% Svc 1.198 · Ctrl thru 2031

Overview

MLB40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	22	AAACHC	549	.278/.377/.472	19	11	91	—	.234/.313/.377
2025	23	AAACHC	433	.286/.387/.551	22	5	103	—	.241/.320/.420
2025	23	MLBCHC	27	.192/.222/.346	1	0	57	-0.5
2026	24	MLBMIA	330	.220/.295/.412	14	5	102	0.5
2027PROJ	25	MLBMIA	272	.213/.290/.386	10	5	97	0.3
2028PROJ82% MLB	26	MLBMIA	258	.215/.292/.394	10	4	99	0.4
2029PROJ82% MLB	27	MLBMIA	265	.213/.291/.391	10	4	98	0.4

Last 3 seasons WAR -0.0 · Next 3 projected WAR 1.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.198First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$2M2031Arb-3$2M

Skills · percentileStatcast 2025-2026

Barrel%90

Bat Spd85

Avg EV75

Speed71

xwOBA40

CompsJack Suwinski (age 25) · MJ Melendez (age 25) · Andrew Lambo (age 25)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†97

AVG/OBP/SLG.213 / .290 / .386

PA272

HR10

SB5

K%32

BB%9

BABIP282

ISO173

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$5M ctrl surplus

Tools · Contract

ToolsStatcast %ile · 2025-2026

CONTACT

xAVG

100.209

POWER

Barrel%

9014.1

Avg EV

7590.8

Bat Spd

8575.0

SPEED

Sprint

7128.3

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

Status Pre-Arb

MLB Debut 2025

Service 1.198 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2028	Pre-Arb	$0.8M	+0.4	$1M	+$0.8M
2029	Arb-1	$2M	+0.4	$1M	+$0.2M
2030	Arb-2	$2M	+0.2	$0.6M	+$0.0M (cut)
2031	Arb-3	$2M	—	—	—
Totals		$3M		$5M	+$2M

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)
2021	19	A	Myrtle Beach Pelicans	—	90	73	17	4	0	1	16	28	0	0	0	233	371	329	700	96	356	31	18	325	56	—	—	—	—	—	—
2021	19	ROK	ACL Cubs	—	136	109	38	7	1	6	26	39	1	1	2	349	478	596	1.074	248	500	29	19	468	96	—	—	—	—	—	—
2022	20	A+	South Bend Cubs	—	433	378	96	21	1	11	50	124	5	11	6	254	349	402	751	148	350	29	12	340	70	—	—	—	—	—	—
2022	20	INTL	Mesa Solar Sox	—	63	59	13	5	0	1	4	24	0	3	0	220	270	356	626	136	353	38	6	280	76	—	—	—	—	—	—
2023	21	AA	Tennessee Smokies	—	528	439	127	31	2	22	76	164	7	7	9	289	402	519	922	230	407	31	14	402	112	—	—	—	—	—	—
2024	22	AAA	Iowa Cubs	—	549	472	131	29	3	19	71	156	4	11	2	278	377	472	849	195	375	28	13	376	91	—	—	—	—	—	—
2025	23	MLB	Chicago Cubs	—	27	26	5	1	0	1	1	11	0	0	0	192	222	346	568	154	286	41	4	251	57	-1	+0	+1	-5	+1	-0.5
2025	23	AAA	Iowa Cubs	—	433	370	106	28	2	22	57	121	4	5	4	286	387	551	939	265	367	28	13	408	103	—	—	—	—	—	—
2026	24	MLB	Miami Marlins	—	330	291	64	14	0	14	27	123	4	5	1	220	295	412	707	192	309	37	8	307	102	+1	+1	-0	-4	+7	0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	357	317	69	15	0	15	28	134	4	5	1	218	289	407	696	189	307	38	8	303	91	-4	+1	+1	-8	+8	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	19	A MLE	Myrtle Beach Pelicans	—	90	77	14	3	0	1	12	40	0	0	0	182	292	260	552	78	337	44	13	251	56	—	—	—	—	—	—
2021	19	ROK MLE	ACL Cubs	—	136	120	28	5	1	4	15	57	1	1	2	233	324	392	715	158	393	42	11	310	96	—	—	—	—	—	—
2022	20	A+ MLE	South Bend Cubs	—	433	390	82	16	1	9	38	157	5	11	6	210	289	326	614	115	325	36	9	272	70	—	—	—	—	—	—
2023	21	AA MLE	Tennessee Smokies	—	528	464	119	29	2	17	51	199	7	7	9	256	339	438	777	181	390	38	10	334	112	—	—	—	—	—	—
2024	22	AAA MLE	Iowa Cubs	—	549	491	115	25	3	13	52	188	4	11	2	234	313	377	689	143	346	34	9	303	91	—	—	—	—	—	—
2025	23	MLB MLE	Chicago Cubs	—	27	26	5	1	0	1	1	11	0	0	0	192	222	346	568	154	286	41	4	252	57	-1	+0	+1	-5	+1	-0.5
2025	23	AAA MLE	Iowa Cubs	—	433	386	93	23	2	14	41	147	4	5	4	241	320	420	740	179	343	34	9	320	103	—	—	—	—	—	—
2026	24	MLB MLE	Miami Marlins	—	330	291	67	15	0	15	27	123	4	5	1	230	304	436	741	206	309	37	8	319	102	+1	+1	-0	-4	+7	0.5
2021	19	ROK MLE	2 teams	—	226	197	42	8	1	5	27	96	1	1	2	213	311	340	651	127	381	42	12	287	80	—	—	—	—	—	—
2021	19	ROK RAW	2 teams	—	226	182	55	11	1	7	42	67	1	1	2	302	436	489	925	187	440	30	19	411	80	—	—	—	—	—	—
2022	20	A+ MLE	2 teams	—	496	448	94	19	1	10	43	180	5	14	6	210	286	324	610	114	326	36	9	272	70	—	—	—	—	—	—
2022	20	A+ RAW	2 teams	—	496	437	109	26	1	12	54	148	5	14	6	249	339	396	735	146	350	30	11	332	70	—	—	—	—	—	—
2023	21	AA MLE	Tennessee Smokies	—	528	464	119	29	2	17	51	199	7	7	9	256	339	438	777	181	403	38	10	334	112	—	—	—	—	—	—
2023	21	AA RAW	Tennessee Smokies	—	528	439	127	31	2	22	76	164	7	7	9	289	402	519	922	230	407	31	14	402	112	—	—	—	—	—	—
2024	22	AAA MLE	Iowa Cubs	—	549	491	115	25	3	13	52	188	4	11	2	234	313	377	689	143	349	34	9	303	91	—	—	—	—	—	—
2024	22	AAA RAW	Iowa Cubs	—	549	472	131	29	3	19	71	156	4	11	2	278	377	472	849	195	375	28	13	376	91	—	—	—	—	—	—
2025	23	AAA MLE	2 teams	—	460	412	98	24	2	15	42	158	4	5	4	238	314	415	729	177	344	34	9	316	100	—	—	—	—	—	—
2025	23	AAA RAW	2 teams	—	460	396	111	29	2	23	58	132	4	5	4	280	378	538	916	258	362	29	13	399	100	—	—	—	—	—	—
2026	24	MLB MLE	Miami Marlins	—	330	291	67	15	0	15	27	123	4	5	1	230	304	436	741	206	323	37	8	319	102	+1	+1	-0	-4	+7	0.5
2026	24	MLB RAW	Miami Marlins	—	330	291	64	14	0	14	27	123	4	5	1	220	295	412	707	192	309	37	8	307	102	+1	+1	-0	-4	+7	0.5
2021	19	ROK MLE	2 teams	—	226	196	42	8	1	5	27	96	1	1	2	214	311	342	653	128	371	42	12	287	80	—	—	—	—	—	—
2022	20	A+ MLE	2 teams	—	496	445	94	19	1	10	43	180	5	14	6	211	286	326	612	115	325	36	9	272	70	—	—	—	—	—	—
2023	21	AA MLE	Tennessee Smokies	—	528	465	119	29	2	17	51	199	7	7	9	256	339	437	776	181	390	38	10	334	112	—	—	—	—	—	—
2024	22	AAA MLE	Iowa Cubs	—	549	488	115	25	3	13	52	188	4	11	2	236	313	379	692	143	346	34	9	303	91	—	—	—	—	—	—
2025	23	AAA MLE	2 teams	—	460	411	98	24	2	15	42	158	4	5	4	238	314	416	730	178	340	34	9	316	100	—	—	—	—	—	—
2026	24	MLB MLE	Miami Marlins	—	330	296	67	15	0	15	27	123	4	5	1	226	304	429	733	203	309	37	8	319	102	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	22	AAA MLE	Iowa Cubs	—	549	488	115	25	3	13	52	188	4	11	2	236	313	379	692	143	346	34	9	303	91	—	—	—	—	—	—
2025	23	AAA MLE	2 teams	—	460	411	98	24	2	15	42	158	4	5	4	238	314	416	730	178	340	34	9	316	100	—	—	—	—	—	—
2026	24	MLB MLE	Miami Marlins	—	330	296	67	15	0	15	27	123	4	5	1	226	304	429	733	203	309	37	8	319	102	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	MIA	100%	380	340	75	15	1	15	33	123	4	6	1	221	298	404	702	183	293	32	9	311	97	-2	+1	+1	-4	+8	0.5
▸ 2027 — real world (MLB)
2027	25	MLB CTX	MIA	100%	272	243	52	10	1	10	24	88	3	5	1	213	290	386	676	173	282	32	9	301	97	-1	+1	+1	-3	+6	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	26	MLB MLE	MIA	82%	315	282	63	13	1	13	27	102	3	5	1	223	299	414	713	191	293	32	9	315	99	-0	+1	+1	-3	+7	0.5
2029	27	MLB MLE	MIA	82%	323	289	64	13	1	13	28	105	3	5	1	222	298	411	709	189	292	33	9	313	98	-1	+1	+1	-3	+7	0.4
2030	28	MLB MLE	MIA	82%	324	290	64	13	1	13	28	106	3	4	1	219	296	405	701	186	291	33	9	310	96	-1	+0	+0	-3	+7	0.3
2031	29	MLB MLE	MIA	82%	314	281	62	12	1	13	27	104	3	3	1	217	293	398	691	182	289	33	9	306	93	-2	+0	-1	-3	+7	0.1
2032	30	MLB MLE	MIA	82%	305	273	59	12	1	12	26	102	3	2	1	213	289	390	678	177	286	33	9	301	90	-4	+0	-1	-3	+7	-0.2
2028	26	MLB CTX	MIA	82%	258	231	49	9	1	10	22	83	3	4	1	215	292	394	686	180	282	32	9	305	99	-0	+0	+1	-3	+6	0.4
2029	27	MLB CTX	MIA	82%	265	237	51	10	1	10	23	86	3	4	1	213	291	391	682	178	282	32	9	303	98	-1	+0	+1	-3	+6	0.4
2030	28	MLB CTX	MIA	82%	266	238	51	10	1	10	23	87	3	3	1	211	289	386	675	175	280	33	9	300	96	-1	+0	+0	-3	+6	0.2
2031	29	MLB CTX	MIA	82%	257	230	48	9	0	10	22	85	3	2	1	209	286	380	665	171	278	33	9	296	93	-2	+0	-0	-3	+6	0.0
2032	30	MLB CTX	MIA	82%	250	225	46	9	0	9	21	83	2	1	0	205	282	372	653	166	275	33	8	291	90	-3	+0	-1	-3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1653	1478	314	62	3	64	139	558	18	19	5	212	288	388	676	176	288	34	8	300	94	-11	+2	+1	-22	+36	0.6
/ 162G	—	A+C		—	650	581	123	24	1	25	55	219	7	7	2	212	288	386	673	174	287	34	8	300	94	-4	+1	+0	-9	+14	0.2
Career	—	MLE		—	4442	3961	901	194	15	150	402	1551	43	67	30	227	305	398	703	170	328	35	9	308	94	-13	+3	+2	-28	+48	1.1
/ 162G	—	MLE		—	650	580	131	28	2	22	59	227	6	10	4	226	304	395	699	169	325	35	9	308	94	-4	+1	+1	-8	+14	0.3

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.

2025 AAAIowa Cubs · 433 PAwOBA .399 → .320 (−78)K% 27.9% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.94%	÷0.989	×1.200	—	—	33.92%
BB% (unintentional) /PA	13.16%	÷1.005	×0.690	—	×1.050	9.49%
HBP% /PA	0.92%	—	×0.940	—	×1.050	0.91%
Singles /BIP	21.69%	÷0.949	×0.930	×0.998	×1.050	22.26%
Doubles /BIP	11.24%	÷1.033	×0.830	×0.998	×1.050	9.47%
Triples /BIP	0.80%	÷0.939	×0.970	×0.998	×1.050	0.87%
Home runs /BIP	8.84%	÷1.125	×0.700	—	×1.050	5.77%

Factors used: league row International League. Park (home-season share, regressed): HR 125, 1B 90, 2B 107, 3B 88, K 98, BB 101 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .399 → .320; ISO .265 → .186; BABIP .367 → .343. 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).

2024 AAAIowa Cubs · 549 PAwOBA .366 → .303 (−63)K% 28.4% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.42%	÷0.998	×1.200	—	—	34.18%
BB% (unintentional) /PA	12.39%	÷0.949	×0.690	—	×1.050	9.46%
HBP% /PA	0.73%	—	×0.940	—	×1.050	0.72%
Singles /BIP	25.32%	÷0.994	×0.930	×0.979	×1.050	24.36%
Doubles /BIP	9.18%	÷0.962	×0.830	×0.979	×1.050	8.14%
Triples /BIP	0.95%	÷1.000	×0.970	×0.979	×1.050	0.95%
Home runs /BIP	6.01%	÷1.079	×0.700	—	×1.050	4.09%

Factors used: league row International League. Park (home-season share, regressed): HR 116, 1B 99, 2B 92, 3B 100, K 100, BB 90 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .366 → .303; ISO .195 → .144; BABIP .375 → .346. 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).

2023 AATennessee Smokies · 528 PAwOBA .395 → .334 (−61)K% 31.1% → 37.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.06%	÷1.008	×1.220	—	—	37.61%
BB% (unintentional) /PA	14.39%	÷1.059	×0.680	—	×1.050	9.70%
HBP% /PA	1.33%	—	×0.840	—	×1.050	1.17%
Singles /BIP	26.18%	÷0.975	×0.920	×1.005	×1.050	26.05%
Doubles /BIP	11.27%	÷1.023	×0.910	×1.005	×1.050	10.58%
Triples /BIP	0.73%	÷0.966	×0.880	×1.005	×1.050	0.70%
Home runs /BIP	8.00%	÷1.082	×0.800	—	×1.050	6.21%

Factors used: league row SL. Park (home-season share, regressed): HR 116, 1B 95, 2B 105, 3B 93, K 102, BB 112 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .395 → .334; ISO .230 → .190; BABIP .407 → .390. 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).

2022 A+South Bend Cubs · 433 PAwOBA .331 → .272 (−59)K% 28.6% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.64%	÷1.003	×1.270	—	—	36.28%
BB% (unintentional) /PA	11.55%	÷0.986	×0.710	—	×1.042	8.67%
HBP% /PA	1.15%	—	×0.790	—	×1.042	0.95%
Singles /BIP	24.80%	÷1.010	×0.920	×1.018	×1.042	23.96%
Doubles /BIP	8.27%	÷1.020	×0.810	×1.018	×1.042	6.97%
Triples /BIP	0.39%	÷1.097	×0.850	×1.018	×1.042	0.32%
Home runs /BIP	4.33%	÷0.938	×0.800	—	×1.042	3.85%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 88, 1B 102, 2B 104, 3B 119, K 101, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .331 → .272; ISO .148 → .119; BABIP .350 → .325. 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).

2021 ROKACL Cubs · 136 PAwOBA .457 → .310 (−146)K% 28.7% → 41.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.68%	÷0.992	×1.440	—	—	41.61%
BB% (unintentional) /PA	19.12%	÷1.071	×0.620	—	×1.008	11.15%
HBP% /PA	0.74%	—	×0.720	—	×1.008	0.53%
Singles /BIP	34.29%	÷1.002	×0.820	×0.990	×1.008	28.01%
Doubles /BIP	10.00%	÷0.947	×0.720	×0.990	×1.008	7.59%
Triples /BIP	1.43%	÷0.947	×0.720	×0.990	×1.008	1.08%
Home runs /BIP	8.57%	÷1.014	×0.780	—	×1.008	6.64%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 100, 2B 89, 3B 89, K 98, BB 114 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .457 → .310; ISO .248 → .173; BABIP .500 → .393. 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).

2021 AMyrtle Beach Pelicans · 90 PAwOBA .321 → .251 (−70)K% 31.1% → 44.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.11%	÷0.961	×1.360	—	—	44.02%
BB% (unintentional) /PA	17.78%	÷0.963	×0.690	—	×1.045	13.32%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	26.67%	÷1.002	×0.920	—	×1.045	25.59%
Doubles /BIP	8.89%	÷0.923	×0.830	—	×1.045	8.35%
Triples /BIP	0.00%	÷0.977	×0.910	—	×1.045	0.00%
Home runs /BIP	2.22%	÷0.977	×0.800	—	×1.045	1.90%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 100, 2B 85, 3B 95, K 92, BB 93 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .321 → .251; ISO .096 → .074; BABIP .356 → .337. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Franklin Stubbs'84-'95 * career totals — 9 seasons, 2,899 PA	4.4	2,899	104	74	229*	301*	428*	-43	+18	6.0	6.2
/162	664	24	17	-9.8	+4.2	1.4	pk7: 6
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#4Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
/162	664	18	8	-5.5	-1.8	0.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,898	77	24	220	292	406	-20	-1	2.4	2.4
/162	664	27	9	-7.1	-0.2	0.8	pk7: 2
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#6Brian Hunter'91-'00 * career totals — 9 seasons, 1,742 PA	2.6	1,742	67	4	226*	288*	432*	-29	+4	0.1	0.8
/162	664	26	2	-11.1	+1.6	0.0	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
Owen Caissie (OGILVIE)	25	—	—	—	—	219/295/401	182	293	11	5	32%	9%	97	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jack Suwinski 2023 · MLB	25	40→43	56→60	45→50	46	215/296/406	191	289	25	8	34%	10%	97	+1.1	209/298/399	190	280	25	13	33%	10%	97	+1.1	198/293/382	184	263	24	15	33%	11%	91	+0.5
✕MJ Melendez 2024 · MLB	25	44→48	54→60	43→50	52	229/311/411	181	285	21	6	27%	10%	103	+1.6	209/278/388	179	269	20	10	29%	8%	86	+0.3	194/263/380	185	247	22	10	31%	8%	77	-0.3
✕Andrew Lambo 2014 · MLB	25	44→51	57→60	47→45	40	235/286/431	196	301	25	6	31%	6%	99	+1.3	238/285/414	176	296	21	6	26%	6%	95	+0.9	241/287/398	157	290	16	4	23%	6%	89	+0.2
✕Enmanuel Valdez 2024 · MLB	25	44→47	54→55	47→45	47	233/298/410	177	283	22	10	26%	8%	99	+1.2	215/280/367	152	258	18	7	24%	8%	82	-0.0	201/264/344	143	233	17	3	22%	7%	69	-0.5
✕Bobby Dalbec 2021 · MLB	26	39→42	58→60	42→50	43	212/294/410	198	292	27	5	36%	8%	98	+1.2	224/292/428	204	307	28	7	35%	7%	101	+1.4	212/285/410	198	297	28	9	37%	8%	94	+0.7
●Ryan Ward 2023 · AA	25	41→48	56→60	46→50	40	224/275/404	180	280	25	6	30%	6%	89	+0.5	221/277/397	176	284	22	10	29%	7%	88	+0.4	228/286/415	187	271	24	10	25%	7%	93	+0.8
✕Jason Cooper 2006 · AAA	25	42→40	54→55	42→45	41	223/284/400	177	297	22	6	32%	7%	91	+0.7	214/277/369	155	283	15	7	29%	7%	81	-0.1	207/275/358	152	266	13	7	27%	7%	76	-0.3
✕Rougned Odor 2020 · MLB	26	39→49	57→60	43→50	45	216/283/411	195	256	25	12	27%	8%	94	+0.9	207/276/393	186	248	25	7	28%	7%	87	+0.4	201/278/356	155	240	19	5	25%	7%	80	-0.1
✕Wladimir Balentien 2009 · MLB	25	41→48	54→60	44→50	45	221/283/398	177	269	22	9	27%	8%	91	+0.6	233/290/411	178	281	21	9	25%	7%	96	+1.0	236/293/416	180	281	21	10	24%	7%	99	+0.8
✕Jeff Larish 2009 · MLB	26	45	53→55	42→45	47	232/303/407	176	288	21	5	27%	8%	99	+1.3	229/300/398	169	300	20	4	29%	9%	97	+1.1	219/295/388	169	288	21	2	30%	9%	92	+0.4
✕Casper Wells 2011 · MLB	26	42→44	55→60	45→50	42	221/287/415	194	279	23	10	29%	7%	96	+1.0	226/296/407	181	287	20	8	28%	8%	97	+1.1	219/296/392	174	276	19	6	27%	8%	94	+0.4
✕Jabari Blash 2015 · AAA	26	38→41	53→60	46→50	43	201/285/373	172	278	21	10	35%	8%	86	+0.3	210/303/398	188	293	24	7	35%	10%	99	+1.2	202/308/391	189	286	24	5	36%	11%	97	+0.8
✕Joe Koshansky 2007 · AA	25	45→48	58→55	41→40	42	238/295/436	198	299	27	4	30%	7%	104	+1.6	225/287/400	175	313	22	4	34%	8%	93	+0.8	207/274/378	171	296	21	4	36%	8%	81	-0.0
✕Christin Stewart 2019 · MLB	25	43→48	54→55	49→45	48	224/300/401	177	279	22	3	28%	9%	97	+1.1	227/295/392	165	289	20	3	27%	8%	93	+0.8	206/284/366	160	277	20	5	32%	8%	83	+0.0
●Matt Wallner 2023 · MLB	25	45→48	54→60	46→45	43	218/305/401	183	337	22	7	39%	10%	99	+1.3	226/320/433	207	318	25	6	35%	9%	112	+2.2	221/320/445	224	297	28	5	33%	10%	115	+2.0
✕Taylor Trammell 2023 · MLB	25	45→48	53→55	49→55	47	229/304/403	174	298	20	15	29%	9%	99	+1.3	216/305/385	169	292	20	19	31%	11%	96	+1.0	201/299/368	166	270	20	20	31%	11%	89	+0.3
✕Matt Clark 2012 · AAA	25	44→45	53→55	40→30	42	231/289/398	167	303	22	2	31%	7%	93	+0.8	233/290/395	162	301	21	2	29%	7%	92	+0.7	223/279/384	161	274	22	0	27%	6%	84	+0.2
✕Josh Ockimey 2021 · AAA	25	40→46	54→50	42→30	49	205/301/384	179	295	22	4	36%	11%	94	+0.9	196/288/331	135	296	15	4	36%	11%	77	-0.3	177/275/300	123	265	14	2	36%	12%	63	-1.0
●Pedro Álvarez 2012 · MLB	25	45→48	52→65	43→45	45	231/300/401	170	310	20	3	31%	9%	97	+1.1	236/300/447	211	295	30	4	30%	8%	108	+1.9	236/300/460	224	282	33	4	29%	8%	112	+2.0
✕Greg Bird 2018 · MLB	25	44→49	55→60	45→30	52	235/315/426	191	269	23	4	22%	10%	109	+2.0	214/300/386	172	263	20	4	26%	10%	94	+0.9	184/263/334	150	228	19	1	28%	9%	67	-0.6

Owen Caissie

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps