Ramon Landaeta

C Stockton Ports

Age 21 R/R 6'2" / 180 lbs A HR -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1379ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKOAK	116	.247/.371/.330	1	2	26	—	.147/.250/.176
2025	19	ROKOAK	156	.282/.390/.427	3	0	52	—	.180/.260/.266
2026	20	A/ROKOAK	238	.284/.361/.462	7	0	60	—	.204/.262/.320
2027PROJMLE	21	MLBOAK	348	.202/.269/.303	5	4	62	0.0
2028PROJ34% MLB	22	MLBOAK	64	.213/.280/.326	1	1	67	0.0
2029PROJ48% MLB	23	MLBOAK	134	.217/.284/.335	2	2	70	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

ISO48

Chase%46

wOBA38

BB%36

wRC+32

K%19

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsMatt Kennelly (age 22) · Darwin Rivera (age 21) · Jonathan Meyer (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 139 proj PA

wRC+†62

AVG/OBP/SLG.200 / .267 / .300

PA139

HR2

K%30

BB%7

ISO101

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE55

scouting grade only

SPEED35

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Arb-1	$0.6M	—	—	—
2036	Arb-2	$5M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.6M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2023	17	ROK	DSL Athletics	—	88	76	19	1	0	3	11	27	0	1	0	250	345	382	726	132	340	31	12	327	21	—	—	—	—	—	—
2024	18	ROK	DSL Athletics	—	116	97	24	5	0	1	18	35	1	2	0	247	371	330	701	82	377	30	16	328	26	—	—	—	—	—	—
2025	19	ROK	ACL Athletics	—	156	131	37	10	0	3	23	44	0	0	1	282	390	427	817	145	395	28	15	364	52	—	—	—	—	—	—
2026	20	A	Stockton Ports	—	125	110	28	6	1	2	13	39	1	0	1	255	339	382	721	127	371	31	10	324	58	—	—	—	—	—	—
2026	20	ROK	ACL Athletics	—	113	98	31	6	1	5	10	39	1	0	2	316	385	551	936	235	448	35	9	395	63	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Athletics	—	88	79	12	1	0	1	8	33	0	1	0	152	230	203	432	51	222	38	9	199	21	—	—	—	—	—	—
2024	18	ROK MLE	DSL Athletics	—	116	102	15	3	0	0	13	43	1	2	0	147	250	176	426	29	248	37	11	207	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Athletics	—	156	139	25	6	0	2	15	64	0	0	1	180	260	266	526	86	307	41	10	245	52	—	—	—	—	—	—
2026	20	A MLE	Stockton Ports	—	125	114	23	5	1	1	9	53	1	0	1	202	266	289	556	88	359	42	7	254	58	—	—	—	—	—	—
2026	20	ROK MLE	ACL Athletics	—	113	102	21	4	1	3	6	56	1	0	2	206	257	353	610	147	344	50	5	261	63	—	—	—	—	—	—
2023	17	ROK MLE	DSL Athletics	—	88	79	12	1	0	1	8	33	0	1	0	152	230	203	432	51	239	38	9	199	21	—	—	—	—	—	—
2023	17	ROK RAW	DSL Athletics	—	88	76	19	1	0	3	11	27	0	1	0	250	345	382	726	132	340	31	12	327	21	—	—	—	—	—	—
2024	18	ROK MLE	DSL Athletics	—	116	102	15	3	0	0	13	43	1	2	0	147	250	176	426	29	254	37	11	207	26	—	—	—	—	—	—
2024	18	ROK RAW	DSL Athletics	—	116	97	24	5	0	1	18	35	1	2	0	247	371	330	701	82	377	30	16	328	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Athletics	—	156	139	25	6	0	2	15	64	0	0	1	180	260	266	526	86	307	41	10	245	52	—	—	—	—	—	—
2025	19	ROK RAW	ACL Athletics	—	156	131	37	10	0	3	23	44	0	0	1	282	390	427	817	145	395	28	15	364	52	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	238	216	44	8	1	5	15	109	2	0	3	204	262	319	581	116	364	46	6	257	60	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	238	208	59	12	2	7	23	78	2	0	3	284	361	462	822	178	406	33	10	358	60	—	—	—	—	—	—
2023	17	ROK MLE	DSL Athletics	—	88	80	12	1	0	1	8	33	0	1	0	150	230	200	430	50	222	38	9	199	21	—	—	—	—	—	—
2024	18	ROK MLE	DSL Athletics	—	116	101	15	3	0	0	13	43	1	2	0	149	250	178	428	30	248	37	11	207	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Athletics	—	156	140	25	6	0	2	15	64	0	0	1	179	260	264	524	86	307	41	10	245	52	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	238	219	44	8	1	5	15	109	2	0	3	201	262	315	577	114	352	46	6	257	60	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Athletics	—	116	101	15	3	0	0	13	43	1	2	0	149	250	178	428	30	248	37	11	207	26	—	—	—	—	—	—
2025	19	ROK MLE	ACL Athletics	—	156	140	25	6	0	2	15	64	0	0	1	179	260	264	524	86	307	41	10	245	52	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	238	219	44	8	1	5	15	109	2	0	3	201	262	315	577	114	352	46	6	257	60	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	OAK	0%	348	316	63	12	2	5	26	104	3	4	2	202	269	303	572	101	280	30	7	260	62	-16	+0	+0	+6	+8	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	OAK	34%	186	168	35	7	1	3	14	54	2	2	1	207	274	316	590	109	281	29	8	267	67	-7	+0	+0	+3	+4	-0.0
2029	23	MLB MLE	OAK	48%	276	251	52	10	1	5	21	79	2	3	1	210	278	325	603	115	283	29	8	272	70	-10	+0	+0	+5	+6	0.1
2030	24	MLB MLE	OAK	53%	352	319	68	13	2	7	27	100	3	4	1	213	282	332	614	119	284	28	8	277	73	-11	+0	+0	+6	+8	0.3
2031	25	MLB MLE	OAK	55%	392	355	77	15	2	8	31	110	3	4	2	215	284	337	621	121	284	28	8	279	75	-12	+0	+0	+7	+8	0.4
2032	26	MLB MLE	OAK	56%	416	376	82	16	2	9	33	115	4	4	2	216	286	340	625	123	284	28	8	281	77	-12	+0	+0	+7	+9	0.5
2033	27	MLB MLE	OAK	55%	425	384	83	16	2	9	34	118	4	4	2	215	285	337	622	122	284	28	8	280	76	-12	+0	+0	+8	+9	0.5
2034	28	MLB MLE	OAK	55%	425	385	83	16	2	9	34	119	3	3	2	214	283	332	615	119	283	28	8	277	74	-13	-0	-1	+8	+9	0.3
2035	29	MLB MLE	OAK	58%	416	377	79	15	2	8	33	118	3	3	2	211	280	326	606	115	281	28	8	273	71	-14	-0	-1	+7	+9	0.1
2036	30	MLB MLE	OAK	60%	404	367	75	14	2	7	31	116	3	2	3	208	276	318	594	110	279	29	8	269	68	-15	-1	-2	+7	+9	-0.2
2028	22	MLB CTX	OAK	34%	64	58	12	3	0	1	5	19	1	1	0	213	280	326	606	113	291	30	8	273	67	-3	+0	+0	+1	+1	0.0
2029	23	MLB CTX	OAK	48%	134	122	26	5	1	2	10	39	1	2	1	217	284	335	619	119	292	29	7	279	70	-5	+0	+0	+2	+3	0.1
2030	24	MLB CTX	OAK	53%	186	168	38	8	1	4	14	53	2	2	1	219	287	342	629	123	294	28	8	283	73	-6	+0	+0	+3	+4	0.1
2031	25	MLB CTX	OAK	55%	215	194	43	9	1	4	17	60	2	2	1	221	290	347	637	125	294	28	8	286	75	-6	+0	+0	+4	+5	0.2
2032	26	MLB CTX	OAK	56%	232	210	47	10	1	5	18	64	2	2	1	223	291	350	641	127	294	28	8	288	77	-6	+0	+0	+4	+5	0.3
2033	27	MLB CTX	OAK	55%	234	211	47	10	1	5	19	65	2	2	1	222	290	347	638	126	293	28	8	286	76	-7	+0	+0	+4	+5	0.3
2034	28	MLB CTX	OAK	55%	232	210	47	10	1	5	18	65	2	2	1	220	288	343	631	123	292	28	8	284	74	-7	+0	-0	+4	+5	0.2
2035	29	MLB CTX	OAK	58%	241	218	48	10	1	5	19	68	2	2	1	217	285	336	621	119	291	28	8	280	71	-8	+0	-1	+4	+5	0.0
2036	30	MLB CTX	OAK	60%	243	220	47	10	1	4	19	70	2	1	2	214	281	328	610	114	288	29	8	275	68	-9	-1	-1	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1781	1611	355	75	8	35	139	503	16	16	9	220	289	342	631	122	296	28	8	282	68	-57	-0	-2	+32	+39	1.0
/ 162G	—	A+C		—	650	588	129	27	3	13	51	184	6	6	3	219	289	342	631	122	294	28	8	282	68	-21	-0	-1	+12	+14	0.4
Career	—	MLE		—	4029	3645	756	145	18	75	319	1220	31	34	21	207	277	319	596	111	287	30	8	269	68	-113	-1	-4	+61	+74	1.8
/ 162G	—	MLE		—	650	588	122	23	3	12	51	197	5	5	3	207	276	318	594	111	287	30	8	269	68	-21	-0	-1	+12	+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.

2026 AStockton Ports · 125 PAwOBA .318 → .254 (−64)K% 31.2% → 42.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.20%	÷1.000	×1.360	—	—	42.43%
BB% (unintentional) /PA	10.40%	÷1.000	×0.690	—	×1.030	7.39%
HBP% /PA	0.80%	—	×0.780	—	×1.030	0.64%
Singles /BIP	26.76%	÷1.000	×0.920	×1.050	×1.030	26.63%
Doubles /BIP	8.45%	÷1.000	×0.830	×1.050	×1.030	7.59%
Triples /BIP	1.41%	÷1.000	×0.910	×1.050	×1.030	1.39%
Home runs /BIP	2.82%	÷1.000	×0.800	—	×1.030	2.32%

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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .318 → .254; ISO .127 → .097; BABIP .371 → .359. 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 ROKACL Athletics · 113 PAwOBA .398 → .261 (−137)K% 34.5% → 49.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.51%	÷1.000	×1.440	—	—	49.70%
BB% (unintentional) /PA	8.85%	÷1.000	×0.620	—	×0.995	5.46%
HBP% /PA	0.88%	—	×0.720	—	×0.995	0.63%
Singles /BIP	32.20%	÷1.000	×0.820	×1.004	×0.995	26.38%
Doubles /BIP	10.17%	÷1.000	×0.720	×1.004	×0.995	7.32%
Triples /BIP	1.69%	÷1.000	×0.720	×1.004	×0.995	1.22%
Home runs /BIP	8.47%	÷1.000	×0.780	—	×0.995	6.58%

Factors used: level-wide ROK 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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .398 → .261; ISO .235 → .150; BABIP .448 → .344. 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 ROKACL Athletics · 156 PAwOBA .360 → .245 (−115)K% 28.2% → 41.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.21%	÷0.983	×1.440	—	—	41.33%
BB% (unintentional) /PA	14.74%	÷0.971	×0.620	—	×1.008	9.48%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	27.59%	÷1.039	×0.820	×1.016	×1.008	22.28%
Doubles /BIP	11.49%	÷1.020	×0.720	×1.016	×1.008	8.30%
Triples /BIP	0.00%	÷0.989	×0.720	×1.016	×1.008	0.00%
Home runs /BIP	3.45%	÷0.926	×0.780	—	×1.008	2.93%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 108, 2B 104, 3B 98, K 97, BB 94 — 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 ×1.016.

Result: wOBA .360 → .245; ISO .145 → .100; BABIP .395 → .307. 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 DSLDSL Athletics · 116 PAwOBA .321 → .207 (−113)K% 30.2% → 37.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.17%	÷0.991	×1.220	—	—	37.16%
BB% (unintentional) /PA	15.52%	÷0.994	×0.700	—	×1.008	11.01%
HBP% /PA	0.86%	—	×0.700	—	×1.008	0.61%
Singles /BIP	29.03%	÷0.975	×0.680	×0.967	×1.008	19.72%
Doubles /BIP	8.06%	÷0.951	×0.600	×0.967	×1.008	4.96%
Triples /BIP	0.00%	÷0.905	×0.600	×0.967	×1.008	0.00%
Home runs /BIP	1.61%	÷1.215	×0.470	—	×1.008	0.63%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 95, 2B 90, 3B 81, K 98, BB 99 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .321 → .207; ISO .082 → .042; BABIP .377 → .248. 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 DSLDSL Athletics · 88 PAwOBA .322 → .199 (−124)K% 30.7% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.68%	÷0.994	×1.220	—	—	37.66%
BB% (unintentional) /PA	12.50%	÷1.030	×0.700	—	×1.022	8.69%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	30.61%	÷1.031	×0.680	×1.012	×1.022	20.89%
Doubles /BIP	2.04%	÷1.138	×0.600	×1.012	×1.022	1.11%
Triples /BIP	0.00%	÷1.000	×0.600	×1.012	×1.022	0.00%
Home runs /BIP	6.12%	÷1.039	×0.470	—	×1.022	2.83%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 128, 3B 100, K 99, BB 106 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .322 → .199; ISO .132 → .060; BABIP .340 → .222. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,918	38	18	213	278	330	+34	+24	2.3	2.3
/162	664	13	6	+11.9	+8.3	0.8	pk7: 2
#4Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#5Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#6Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-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
Ramon Landaeta (OGILVIE)	21	40	35	35	55	200/267/300	100	280	2	2	30%	7%	62	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Kennelly 2011 · A	22	42	40	34→40	41	209/253/296	87	273	8	3	26%	6%	54	-2.0	223/278/305	82	285	6	4	22%	6%	66	-1.1	232/288/295	62	293	2	2	20%	6%	64	-0.6
✕Darwin Rivera 2013 · A	21	42	40	37→30	38	206/249/294	88	289	8	2	31%	5%	53	-2.1	199/249/282	83	281	6	4	30%	5%	49	-2.4	155/200/218	63	212	5	0	29%	4%	14	-1.4
✕Jonathan Meyer 2012 · A	21	43→45	41→45	35→40	41	210/263/301	91	296	9	3	31%	6%	59	-1.6	213/255/302	89	281	9	3	26%	5%	57	-1.8	194/238/271	77	249	8	2	25%	5%	41	-1.9
✕Randy César 2016 · A	21	39→49	38→40	40	40	191/243/266	75	268	6	2	30%	6%	44	-2.8	214/255/298	84	323	8	3	34%	5%	55	-1.9	237/283/328	91	347	8	2	32%	6%	69	-0.6
✕J.J. D'Orazio 2023 · A	21	42→49	38→40	41→30	43	199/266/279	80	295	5	3	32%	8%	56	-1.9	216/265/310	94	296	8	3	28%	6%	62	-1.4	197/245/276	79	263	9	1	28%	5%	45	-1.0
✕Travis Harrison 2014 · A	21	43→50	43→40	41→45	42	209/282/320	110	300	11	3	32%	7%	72	-0.7	215/292/306	91	298	6	6	27%	8%	72	-0.7	209/291/292	83	290	4	7	27%	9%	67	-0.9
✕Anderson Hidalgo 2010 · A	21	46	41→45	41→50	48	222/284/323	102	278	9	5	23%	8%	73	-0.6	229/279/326	97	298	7	3	24%	6%	71	-0.8	223/272/315	92	288	6	1	24%	5%	63	-0.8
✕Randy Florentino 2021 · A	21	42	39→45	42→45	49	199/281/287	88	284	6	6	30%	10%	64	-1.3	180/242/262	82	268	8	5	34%	7%	43	-2.8	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Juan Fernandez 2019 · A	20	43→53	39→40	39→50	44	205/264/289	84	263	6	4	24%	6%	57	-1.8	211/270/305	94	274	8	5	25%	6%	63	-1.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Angel Acosta 2024 · A	21	42	38→40	40→50	48	201/276/279	78	249	5	5	20%	7%	60	-1.6	211/268/276	65	259	4	9	19%	6%	55	-1.9	219/273/273	54	263	4	11	17%	6%	55	-0.7
✕Diego Gonzalez 2024 · A	21	43	37→40	41→40	43	203/259/272	68	273	4	6	26%	6%	51	-2.2	192/262/262	70	275	6	4	30%	8%	51	-2.3	164/244/217	52	234	5	2	30%	8%	33	-1.2
✕Jose Gil 2008 · A	21	40	41→45	43→45	41	203/247/296	93	260	10	4	26%	5%	52	-2.2	209/248/305	96	272	8	7	26%	4%	55	-2.0	216/264/335	119	264	13	3	23%	5%	65	-0.5
✕Dante Bichette Jr. 2014 · A	21	43→49	40→45	43→40	41	210/265/299	89	288	8	3	29%	6%	60	-1.6	218/274/317	99	292	8	2	27%	7%	68	-1.0	242/301/331	90	300	7	3	21%	7%	77	-0.2
✕Gabriel Lino 2014 · A	21	41	42→40	41→30	36	200/252/309	109	301	9	4	35%	5%	57	-1.8	199/247/285	86	299	7	2	34%	5%	50	-2.3	206/255/293	86	293	6	0	30%	5%	53	-1.0
✕Niko Vasquez 2011 · A	22	42	41→50	40→45	48	202/284/306	104	289	8	3	31%	10%	70	-0.9	199/267/309	110	266	10	3	27%	8%	63	-1.3	220/276/351	131	285	16	6	28%	6%	74	-0.3
✕Omar Estévez 2019 · A	21	43	42→45	42→40	37	210/253/317	107	293	10	3	31%	5%	59	-1.6	215/266/322	107	302	10	3	30%	6%	65	-1.2	201/256/294	92	277	9	1	29%	6%	54	-1.1
✕David Rodríguez 2018 · A	22	41→44	37→40	40	41	199/257/271	72	272	5	3	28%	6%	51	-2.3	216/269/317	101	292	8	5	28%	6%	65	-1.2	203/261/320	118	275	14	4	30%	7%	61	-0.5
✕Cutter Dykstra 2009 · A	20	44→54	42→40	41→55	45	215/280/315	100	287	9	7	28%	8%	70	-0.9	213/274/291	78	300	6	14	29%	7%	61	-1.5	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Jose Meza 2024 · A	21	43→42	39→40	44→50	50	203/296/287	84	284	7	7	29%	10%	70	-0.8	197/287/295	98	292	9	10	33%	10%	69	-0.9	186/278/281	95	274	9	12	33%	9%	61	-1.1
✕Omar Martinez 2022 · A	21	38→37	40→45	40	50	183/281/271	88	263	8	4	31%	10%	61	-1.5	196/279/313	117	276	13	5	32%	9%	70	-0.9	176/253/289	113	268	15	1	38%	8%	53	-1.3

Ramon Landaeta

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps