Jake Munroe

3B Rocket City Trash Pandas

Age 23 R/R 6'2" / 230 lbs AA K +5%HR +4% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

OGV OFP40OGV rank#218ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ASEA	56	.244/.358/.333	0	4	57	—	.213/.302/.298
2026	22	AA/A+/INTL2 orgs	562	.286/.409/.496	20	8	109	—	.245/.341/.416
2027PROJMLE	23	MLBLAA	4	.240/.325/.394	0	0	105	0.0
2028PROJ32% MLB	24	MLBLAA	144	.242/.327/.400	4	2	107	0.5
2029PROJ49% MLB	25	MLBLAA	230	.243/.327/.402	7	3	108	0.8

Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$3M2034Arb-2$3M+1

Skills · percentileMiLB Statcast 2026 AA

wRC+92

wOBA90

K%83

Chase%71

ISO66

Whiff%65

Career WAR0.0 WAR median (P10 -0.3 / P90 18, comp-based) · star 4% · didn't stick 71%

CompsAlec Bohm (age 23) · Logan O'Hoppe (age 23) · Luis Urías (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†105

AVG/OBP/SLG.240 / .325 / .394

PA4

HR0

K%25

BB%9

BABIP286

ISO158

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$31M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Arb-1	$3M	+0.7	$2M	+$0.4M
2034	Arb-2	$3M	+0.5	$1M	+$0.0M (cut)
2035	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$14M	+$10M

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	Inland Empire 66ers	—	56	45	11	2	1	0	7	10	1	4	0	244	358	333	692	89	306	18	12	304	57	—	—	—	—	—	—
2026	22	AA	Rocket City Trash Pandas	—	277	232	73	15	1	8	30	50	11	6	2	315	418	491	909	177	365	18	11	400	116	—	—	—	—	—	—
2026	22	A+	Tri-City Dust Devils	—	239	194	50	15	0	11	33	40	10	1	1	258	392	505	898	247	271	17	14	394	94	—	—	—	—	—	—
2026	22	INTL	Mesa Solar Sox	—	46	32	8	4	0	1	10	8	1	1	0	250	442	469	911	219	269	17	22	384	146	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Inland Empire 66ers	—	56	47	10	2	1	0	5	13	1	4	0	213	302	298	600	85	261	23	9	252	57	—	—	—	—	—	—
2026	22	AA MLE	Rocket City Trash Pandas	—	277	241	67	14	1	7	21	61	11	6	2	278	363	432	794	154	324	22	8	339	116	—	—	—	—	—	—
2026	22	A+ MLE	Tri-City Dust Devils	—	239	204	42	12	0	9	23	54	10	1	1	206	316	397	714	191	223	23	10	307	94	—	—	—	—	—	—
2025	21	A MLE	Inland Empire 66ers	—	56	47	10	2	1	0	5	13	1	4	0	213	302	298	600	85	286	23	9	252	57	—	—	—	—	—	—
2025	21	A RAW	Inland Empire 66ers	—	56	45	11	2	1	0	7	10	1	4	0	244	358	333	692	89	306	18	12	304	57	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	562	483	117	28	1	17	48	125	22	8	3	242	338	410	748	168	287	22	9	324	106	—	—	—	—	—	—
2026	22	AA RAW	3 teams	—	562	458	131	34	1	20	73	98	22	8	3	286	409	496	904	210	319	17	13	396	106	—	—	—	—	—	—
2025	21	A MLE	Inland Empire 66ers	—	56	50	10	2	1	0	5	13	1	4	0	200	302	280	582	80	261	23	9	252	57	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	562	487	117	28	1	17	48	125	22	8	3	240	338	407	745	166	277	22	9	324	106	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Inland Empire 66ers	—	56	50	10	2	1	0	5	13	1	4	0	200	302	280	582	80	261	23	9	252	57	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	562	487	117	28	1	17	48	125	22	8	3	240	338	407	745	166	277	22	9	324	106	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	LAA	2%	511	449	109	23	2	14	43	112	14	8	2	242	326	396	722	154	288	22	8	323	105	+3	+1	-1	+2	+11	0.8
▸ 2027 — real world (MLB)
2027	23	MLB CTX	LAA	2%	4	4	1	0	0	0	0	1	0	0	0	240	325	394	719	154	286	25	0	322	105	+0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	LAA	32%	455	401	97	20	2	13	39	99	12	6	2	244	328	401	729	158	289	22	9	326	107	+4	+0	-1	+2	+10	1.5
2029	25	MLB MLE	LAA	49%	472	417	102	21	2	14	40	103	12	6	2	244	329	404	732	159	290	22	8	327	108	+4	+0	-1	+2	+10	1.6
2030	26	MLB MLE	LAA	59%	477	421	103	21	2	14	41	104	12	6	2	244	328	403	731	159	289	22	9	327	107	+4	+0	-1	+2	+10	1.6
2031	27	MLB MLE	LAA	62%	476	421	102	21	2	14	41	105	11	6	2	243	327	401	727	158	289	22	9	325	106	+3	+0	-1	+2	+10	1.5
2032	28	MLB MLE	LAA	65%	470	416	100	21	2	13	40	104	11	5	2	241	324	396	720	155	288	22	9	322	104	+2	+0	-2	+2	+10	1.3
2033	29	MLB MLE	LAA	64%	462	409	98	20	2	13	40	104	10	4	2	239	321	390	711	151	286	23	9	318	102	+1	+0	-3	+2	+10	1.0
2034	30	MLB MLE	LAA	64%	453	402	93	19	1	12	38	103	10	4	2	235	317	381	699	146	284	23	8	314	98	-1	+0	-3	+2	+10	0.7
2035	31	MLB MLE	LAA	64%	443	394	90	18	1	11	37	103	9	3	6	231	312	371	683	140	281	23	8	307	94	-3	-2	-4	+2	+10	0.2
2036	32	MLB MLE	LAA	64%	379	337	75	15	1	9	31	90	8	3	6	225	306	357	663	132	276	24	8	299	89	-5	-2	-4	+1	+8	-0.2
2028	24	MLB CTX	LAA	32%	144	127	31	6	1	4	12	31	4	2	1	242	327	400	726	157	287	22	8	325	107	+1	+0	-0	+1	+3	0.5
2029	25	MLB CTX	LAA	49%	230	202	50	10	1	7	20	50	6	3	1	243	327	402	729	159	287	22	9	326	108	+2	+0	-1	+1	+5	0.8
2030	26	MLB CTX	LAA	59%	280	247	60	12	1	8	24	61	7	4	1	243	327	402	729	159	287	22	9	326	107	+2	+0	-1	+1	+6	0.9
2031	27	MLB CTX	LAA	62%	297	262	64	13	1	9	26	65	7	4	1	242	325	399	725	158	286	22	9	324	106	+2	+0	-1	+1	+6	1.0
2032	28	MLB CTX	LAA	65%	304	268	65	13	1	9	26	67	7	3	1	240	323	395	718	155	285	22	9	321	104	+2	+0	-1	+1	+7	0.8
2033	29	MLB CTX	LAA	64%	298	264	62	12	1	8	25	67	7	3	1	237	320	388	708	151	284	22	8	317	102	+1	+0	-2	+1	+6	0.7
2034	30	MLB CTX	LAA	64%	291	258	60	12	1	8	25	66	6	3	2	234	316	380	696	146	282	23	9	312	98	-1	-0	-2	+1	+6	0.5
2035	31	MLB CTX	LAA	64%	284	252	57	11	1	7	24	66	6	2	4	229	311	369	680	140	278	23	8	306	94	-2	-1	-3	+1	+6	0.1
2036	32	MLB CTX	LAA	64%	243	216	48	9	1	6	20	57	5	2	4	224	305	356	660	132	274	23	8	298	89	-3	-1	-3	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2371	2096	497	98	9	66	202	530	55	26	16	237	320	387	707	150	285	22	9	317	102	+4	-1	-13	+8	+51	5.1
/ 162G	—	A+C		—	650	575	136	27	2	18	55	145	15	7	4	237	319	384	704	148	284	22	8	317	102	+1	-0	-3	+2	+14	1.4
Career	—	MLE		—	4915	4332	1032	215	18	136	418	1099	124	58	30	238	323	390	713	152	287	22	9	319	102	+11	-2	-21	+15	+93	9.8
/ 162G	—	MLE		—	650	573	136	28	2	18	55	145	16	8	4	237	321	387	709	150	285	22	8	319	102	+2	-0	-3	+2	+14	1.5

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 AARocket City Trash Pandas · 277 PAwOBA .396 → .339 (−57)K% 18.1% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.05%	÷1.000	×1.220	—	—	22.02%
BB% (unintentional) /PA	10.83%	÷1.000	×0.680	—	×1.027	7.56%
HBP% /PA	3.97%	—	×0.840	—	×1.027	3.43%
Singles /BIP	26.92%	÷1.000	×0.920	×0.950	×1.027	24.17%
Doubles /BIP	8.24%	÷1.000	×0.910	×0.950	×1.027	7.32%
Triples /BIP	0.55%	÷1.000	×0.880	×0.950	×1.027	0.47%
Home runs /BIP	4.40%	÷1.000	×0.800	—	×1.027	3.61%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +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 .396 → .339; ISO .177 → .153; BABIP .365 → .324. 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+Tri-City Dust Devils · 239 PAwOBA .386 → .307 (−79)K% 16.7% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.74%	÷1.000	×1.350	—	—	22.59%
BB% (unintentional) /PA	13.81%	÷1.000	×0.710	—	×0.998	9.78%
HBP% /PA	4.18%	—	×0.810	—	×0.998	3.38%
Singles /BIP	15.58%	÷1.000	×0.910	×0.950	×0.998	13.45%
Doubles /BIP	9.74%	÷1.000	×0.830	×0.950	×0.998	7.66%
Triples /BIP	0.00%	÷1.000	×0.820	×0.950	×0.998	0.00%
Home runs /BIP	7.14%	÷1.000	×0.830	—	×0.998	5.92%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .386 → .307; ISO .247 → .201; BABIP .271 → .223. 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 AInland Empire 66ers · 56 PAwOBA .303 → .252 (−51)K% 17.9% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.008	×1.360	—	—	24.08%
BB% (unintentional) /PA	12.50%	÷1.011	×0.690	—	—	8.53%
HBP% /PA	1.79%	—	×0.780	—	—	1.39%
Singles /BIP	22.86%	÷1.066	×0.920	—	—	19.72%
Doubles /BIP	5.71%	÷1.065	×0.830	—	—	4.46%
Triples /BIP	2.86%	÷0.997	×0.910	—	—	2.61%
Home runs /BIP	0.00%	÷1.036	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 113, 2B 113, 3B 99, K 102, BB 102 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .303 → .252; ISO .089 → .079; BABIP .306 → .261. 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
#1Jeimer Candelariolast yr '25 career totals — 9 seasons, 3,576 PA	5.4	3,576	110	19	237	316	412	+8	-5	12.7	13.0
/162	664	20	4	+1.6	-0.9	2.4	pk7: 13
#2Jim Lefebvre'65-'72 * career totals — 8 seasons, 3,417 PA	5.1	3,417	74	8	250*	327*	411*	+11	-10	13.0	13.0
/162	664	14	2	+2.1	-2.0	2.5	pk7: 13
#3Yangervis Solartelast yr '19 career totals — 6 seasons, 2,645 PA	4.0	2,645	75	6	258	315	408	+9	+3	9.4	9.4
/162	664	19	2	+2.4	+0.7	2.4	pk7: 9
#4Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#5Don Wert'63-'71 * career totals — 8 seasons, 4,346 PA	6.5	4,346	77	22	251*	323*	379*	+16	-20	6.5	7.2
/162	664	12	3	+2.5	-3.1	1.0	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.6	2,375	66	25	239	319	391	+8	-10	7.5	7.1
/162	664	18	7	+2.4	-2.8	2.1	pk7: 7
#6Leo Gomez'90-'96 * career totals — 6 seasons, 2,238 PA	3.4	2,238	79	4	238*	329*	430*	+5	-20	6.2	6.2
/162	664	23	1	+1.4	-6.1	1.8	pk7: 6

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
Jake Munroe (OGILVIE)	23	—	—	—	—	239/324/392	153	288	6	3	22%	8%	105	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Alec Bohm 2020 · AA	23	49→56	49→50	46→45	49	245/302/395	150	277	16	6	18%	7%	96	+1.0	261/316/385	124	320	12	6	21%	7%	99	+1.2	273/325/420	147	304	15	4	15%	6%	111	+2.0
✕Logan O'Hoppe 2023 · MLB	23	46→48	53→55	45	50	238/315/406	168	271	22	7	21%	8%	104	+1.6	238/301/417	179	290	25	5	26%	7%	101	+1.4	230/285/405	175	287	26	2	29%	6%	94	+0.6
●Luis Urías 2020 · MLB	23	51→61	47→55	47→45	50	248/327/387	140	308	14	6	23%	9%	104	+1.6	242/326/400	158	294	18	6	23%	9%	107	+1.8	239/331/399	160	283	19	4	21%	10%	109	+1.3
✕Brendan Rodgers 2020 · MLB	23	50→55	47→50	47→45	41	247/295/386	139	307	15	7	25%	5%	91	+0.7	250/300/391	141	303	15	4	22%	6%	95	+0.9	257/312/394	138	302	14	0	19%	6%	101	+1.0
✕Jordan Diaz 2024 · MLB	23	52→59	51→55	37→30	43	263/303/420	157	304	19	2	20%	5%	103	+1.5	260/310/421	161	307	20	4	22%	6%	105	+1.7	276/327/444	168	323	22	0	21%	6%	113	+1.6
●Alejandro Kirk 2022 · MLB	23	50→57	51→50	47→40	55	252/328/416	163	272	18	4	15%	9%	111	+2.1	262/340/389	127	281	14	2	12%	10%	109	+2.0	260/341/374	114	279	12	0	11%	10%	106	+1.3
●James Darnell 2011 · AA	24	50→52	49→55	45→40	52	251/323/402	152	294	16	5	20%	9%	105	+1.7	242/309/408	166	282	19	5	21%	8%	102	+1.5	243/314/429	186	272	24	3	20%	8%	108	+1.1
✕Michael McKenry 2008 · A	23	46→47	54→55	41→40	49	238/309/421	183	282	21	7	24%	9%	105	+1.7	223/292/377	154	278	17	4	25%	8%	88	+0.5	248/321/426	177	294	23	2	23%	9%	111	+0.8
✕Eddys Leonard 2024 · AAA	23	46→47	48→50	43→50	42	229/293/371	141	294	15	5	27%	6%	88	+0.4	218/274/363	145	273	17	10	26%	5%	79	-0.2	210/266/358	149	254	18	11	25%	5%	72	-0.5
✕Carter Kieboom 2021 · MLB	23	49→55	45→50	45	50	237/321/360	124	314	13	6	27%	10%	96	+1.0	220/309/338	118	282	14	5	25%	9%	86	+0.3	232/294/332	100	301	11	8	25%	7%	75	-0.3
✕Chad Huffman 2008 · AA	23	49→52	51→50	42→45	48	251/323/410	159	300	19	3	23%	8%	107	+1.9	238/312/369	131	297	14	4	23%	8%	94	+0.9	231/303/384	152	286	16	6	24%	8%	92	+0.5
✕Haydn McGeary 2024 · AA	24	48	47→50	46→45	48	234/313/369	135	313	15	7	28%	9%	95	+0.9	204/272/316	112	311	13	8	36%	8%	67	-1.1	171/234/291	120	258	16	8	39%	7%	47	-1.7
●Ryan Lavarnway 2011 · AA	23	46	51→55	44→30	44	232/301/393	161	302	19	2	29%	8%	96	+1.0	237/301/389	152	290	18	2	24%	7%	95	+0.9	237/299/380	143	282	17	1	22%	7%	91	+0.5
✕Connor Norby 2023 · AAA	23	46→51	52→55	49→50	45	236/302/402	166	297	20	12	27%	7%	98	+1.2	247/306/406	159	329	18	11	29%	7%	100	+1.3	247/320/404	157	334	17	14	30%	8%	104	+1.4
✕Andrew Knizner 2018 · AA	23	51	46→50	42→40	45	252/300/380	128	281	13	3	16%	5%	92	+0.7	251/302/372	121	289	13	4	18%	5%	91	+0.7	238/302/344	106	277	12	2	18%	6%	84	+0.1
✕Max Stassi 2014 · AA	23	44→45	52→55	44→40	40	232/283/398	167	288	20	4	27%	5%	91	+0.6	212/258/336	124	293	14	3	32%	5%	66	-1.1	216/302/377	161	281	21	0	29%	10%	94	+0.4
✕Nick Weglarz 2011 · AAA	23	47→48	50	43→45	53	238/325/401	163	288	17	5	23%	10%	106	+1.8	213/303/353	140	307	15	5	33%	10%	88	+0.4	183/284/307	124	286	14	2	37%	11%	68	-0.5
●Christian Vázquez 2014 · AA	23	51→55	43→50	42→45	49	245/307/354	108	297	10	6	20%	8%	88	+0.4	246/300/333	87	307	6	4	20%	7%	80	-0.1	259/309/407	148	296	18	8	19%	7%	102	+1.0
✕Brian Rey 2022 · AAA	24	49	45→50	39→45	44	243/305/364	121	282	13	7	19%	5%	91	+0.6	224/280/326	102	278	10	9	22%	5%	72	-0.7	195/243/268	73	241	6	9	21%	2%	41	-0.8
✕David Freitas 2012 · A	23	47→57	45	45→40	51	233/309/354	122	288	13	3	23%	9%	90	+0.6	225/290/344	119	274	12	2	22%	7%	80	-0.1	269/329/382	113	323	10	0	19%	7%	101	+0.7

Jake Munroe

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps