Edward Florentino

OF Greensboro Grasshoppers

Age 20 L/R 6'3" / 200 lbs A+ HR -15%K -5% Svc 0.0 · Ctrl thru 2034

Overview

A+PROSPECTMiLBFA 2035

OGV OFP45OGV rank#114ETA2028MLB%4%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Pirates G…	190	.260/.432/.459	5	8	60	—	.153/.300/.261
2025	18	A/ROKPIT	351	.290/.405/.548	16	35	94	—	.215/.303/.410
2026	19	A+/APIT	475	.235/.370/.509	27	11	87	—	.187/.281/.408
2027PROJMLE	20	MLBPIT	9	.206/.296/.405	0	0	100	0.0
2028PROJ45% MLB	21	MLBPIT	197	.212/.303/.418	9	6	106	0.5
2029PROJ62% MLB	22	MLBPIT	299	.217/.308/.427	13	9	110	0.9

Next 3 projected WAR 1.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$5M2033Arb-2$8M2034Arb-3$12M

Skills · percentileMiLB Statcast 2026 A+

ISO92

Chase%87

BB%77

wOBA68

wRC+63

Speed59

Career WAR4.3 WAR median (P10 -0.6 / P90 47, comp-based) · star 21% · didn't stick 44%

CompsEric Arce (age 20) · Andy Pages (age 21) · Jaff Decker (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†100

AVG/OBP/SLG.206 / .296 / .405

PA9

HR0

K%33

BB%11

BABIP255

ISO217

MLB%4%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$38M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Pre-Arb	$0.8M	+1.2	$8M	+$7M
2031	Pre-Arb	$0.9M	+1.4	$8M	+$8M
2032	Arb-1	$5M	+1.4	$8M	+$5M
2033	Arb-2	$8M	+1.4	$7M	+$3M
2034	Arb-3	$12M	+1.4	$7M	+$0.9M
Totals		$28M		$40M	+$25M

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)
2024	17	ROK	DSL Pirates Gold	—	190	146	38	10	2	5	38	36	6	8	2	260	432	459	890	199	314	19	20	402	60	—	—	—	—	—	—
2025	18	A	Bradenton Marauders	—	238	195	51	17	0	10	33	56	6	29	5	262	385	503	887	241	311	24	14	386	90	—	—	—	—	—	—
2025	18	ROK	FCL Pirates	—	113	95	33	6	2	6	16	22	1	6	1	347	446	642	1.089	295	397	19	14	465	103	—	—	—	—	—	—
2026	19	A+	Greensboro Grasshoppers	—	435	359	82	16	3	24	65	115	7	10	8	228	357	490	848	262	259	26	15	370	79	—	—	—	—	—	—
2026	19	A	Bradenton Marauders	—	40	28	9	3	0	3	11	7	0	1	2	321	513	750	1.263	429	316	18	28	512	179	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Pirates Gold	—	190	157	24	6	1	3	27	44	6	8	2	153	300	261	561	108	185	23	14	257	60	—	—	—	—	—	—
2025	18	A MLE	Bradenton Marauders	—	238	205	42	12	0	9	23	76	6	29	5	205	303	395	699	190	263	32	10	301	90	—	—	—	—	—	—
2025	18	ROK MLE	FCL Pirates	—	113	102	24	4	1	5	9	32	1	6	1	235	304	441	745	206	286	28	8	321	103	—	—	—	—	—	—
2026	19	A+ MLE	Greensboro Grasshoppers	—	435	384	68	12	2	21	40	151	7	10	8	177	267	383	650	206	214	35	9	285	79	—	—	—	—	—	—
2026	19	A MLE	Bradenton Marauders	—	40	31	9	3	0	3	8	10	0	1	2	290	436	677	1.113	387	278	25	20	433	179	—	—	—	—	—	—
2024	17	ROK MLE	DSL Pirates Gold	—	190	157	24	6	1	3	27	44	6	8	2	153	300	261	561	108	191	23	14	257	60	—	—	—	—	—	—
2024	17	ROK RAW	DSL Pirates Gold	—	190	146	38	10	2	5	38	36	6	8	2	260	432	459	890	199	314	19	20	402	60	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	351	307	66	16	1	13	32	108	7	35	6	215	303	401	704	186	279	31	9	307	94	—	—	—	—	—	—
2025	18	A RAW	2 teams	—	351	290	84	23	2	16	49	78	7	35	6	290	405	548	953	259	340	22	14	411	94	—	—	—	—	—	—
2026	19	A+ MLE	2 teams	—	475	415	77	15	2	24	48	160	7	11	10	186	281	405	686	219	225	34	10	297	87	—	—	—	—	—	—
2026	19	A+ RAW	2 teams	—	475	387	91	19	3	27	76	122	7	11	10	235	370	509	879	274	263	26	16	382	87	—	—	—	—	—	—
2024	17	ROK MLE	DSL Pirates Gold	—	190	155	24	6	1	3	27	44	6	8	2	155	300	265	565	110	185	23	14	257	60	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	351	309	66	16	1	13	32	108	7	35	6	214	303	398	702	184	270	31	9	307	94	—	—	—	—	—	—
2026	19	A+ MLE	2 teams	—	475	417	77	15	2	24	48	160	7	11	10	185	281	403	684	218	219	34	10	297	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Pirates Gold	—	190	155	24	6	1	3	27	44	6	8	2	155	300	265	565	110	185	23	14	257	60	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	351	309	66	16	1	13	32	108	7	35	6	214	303	398	702	184	270	31	9	307	94	—	—	—	—	—	—
2026	19	A+ MLE	2 teams	—	475	417	77	15	2	24	48	160	7	11	10	185	281	403	684	218	219	34	10	297	87	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	PIT	4%	585	514	108	22	3	27	58	177	8	15	6	208	298	418	716	210	255	30	10	316	100	+0	+1	-1	-4	+13	0.5
▸ 2027 — real world (MLB)
2027	20	MLB CTX	PIT	4%	9	8	1	0	0	0	1	3	0	0	0	206	296	405	702	200	255	33	11	311	100	+0	+0	-0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	PIT	45%	437	384	83	17	2	21	44	127	6	12	5	215	305	431	737	217	258	29	10	325	106	+3	+0	-1	-3	+9	1.0
2029	22	MLB MLE	PIT	62%	485	426	94	19	2	24	49	137	7	15	6	220	311	441	751	221	260	28	10	330	110	+6	+1	-0	-3	+11	1.4
2030	23	MLB MLE	PIT	68%	538	471	105	21	3	26	55	148	7	16	6	223	314	446	760	223	262	28	10	334	112	+8	+1	-0	-3	+12	1.7
2031	24	MLB MLE	PIT	70%	578	506	115	23	3	28	59	157	8	17	7	226	316	449	765	223	265	27	10	336	114	+9	+1	+0	-3	+13	2.0
2032	25	MLB MLE	PIT	70%	590	517	118	23	3	29	60	158	8	18	7	228	317	449	767	221	266	27	10	337	114	+10	+1	+0	-4	+13	2.0
2033	26	MLB MLE	PIT	71%	599	525	120	24	3	29	61	161	8	18	7	228	317	449	766	221	266	27	10	337	114	+10	+1	+0	-4	+13	2.1
2034	27	MLB MLE	PIT	69%	596	522	120	24	3	29	61	161	8	17	7	226	316	446	762	220	265	27	10	335	113	+9	+1	+0	-4	+13	2.0
2035	28	MLB MLE	PIT	69%	585	512	116	23	3	28	60	159	8	14	6	225	314	441	756	217	264	27	10	333	111	+8	+0	-1	-4	+13	1.7
2036	29	MLB MLE	PIT	67%	568	498	110	22	2	26	58	156	7	12	5	222	312	435	746	213	263	27	10	329	109	+6	+0	-1	-3	+12	1.4
2037	30	MLB MLE	PIT	66%	552	484	106	21	2	25	56	153	7	9	4	219	308	427	734	208	260	28	10	324	106	+4	+0	-2	-3	+12	1.1
2038	31	MLB MLE	PIT	65%	534	470	101	20	2	24	53	150	6	4	4	215	303	416	719	202	257	28	10	318	102	+1	-1	-3	-3	+12	0.6
2039	32	MLB MLE	PIT	65%	511	450	94	18	2	22	50	146	6	1	3	209	297	403	700	194	253	29	10	310	96	-2	-1	-3	-3	+11	0.1
2040	33	MLB MLE	PIT	65%	476	422	85	16	1	20	46	139	5	1	2	202	289	387	676	184	247	29	10	301	90	-6	-1	-4	-3	+10	-0.3
2028	21	MLB CTX	PIT	45%	197	172	37	8	1	9	20	57	3	6	2	212	303	418	721	206	258	29	10	319	106	+1	+0	-0	-1	+4	0.5
2029	22	MLB CTX	PIT	62%	299	263	56	12	1	13	30	84	4	9	3	217	308	427	735	210	260	28	10	325	110	+3	+1	-0	-2	+6	0.9
2030	23	MLB CTX	PIT	68%	368	323	72	15	2	17	37	101	5	11	4	221	311	433	744	212	263	27	10	328	112	+5	+1	-0	-2	+8	1.2
2031	24	MLB CTX	PIT	70%	403	353	79	17	2	18	41	109	6	12	5	223	314	436	750	212	265	27	10	330	114	+7	+0	+0	-2	+9	1.4
2032	25	MLB CTX	PIT	70%	415	364	82	17	2	19	42	111	6	12	5	225	315	436	751	211	267	27	10	331	114	+7	+0	+0	-2	+9	1.4
2033	26	MLB CTX	PIT	71%	423	371	83	17	2	19	43	113	6	12	5	225	315	436	750	211	267	27	10	331	114	+7	+0	+0	-3	+9	1.4
2034	27	MLB CTX	PIT	69%	413	363	81	17	2	18	42	111	5	12	5	224	314	433	747	209	266	27	10	329	113	+6	+0	+0	-2	+9	1.4
2035	28	MLB CTX	PIT	69%	402	353	78	16	2	18	41	109	5	10	4	222	312	428	740	206	265	27	10	327	111	+5	+0	-0	-2	+9	1.2
2036	29	MLB CTX	PIT	67%	380	333	73	15	2	16	39	104	5	8	4	219	309	422	731	203	263	27	10	323	109	+4	+0	-1	-2	+8	0.9
2037	30	MLB CTX	PIT	66%	363	319	68	14	1	15	37	101	4	6	3	216	306	414	720	198	261	28	10	319	106	+2	+0	-1	-2	+8	0.7
2038	31	MLB CTX	PIT	65%	348	306	65	14	1	14	35	98	4	3	2	212	301	404	705	192	258	28	10	313	102	+1	-0	-2	-2	+8	0.4
2039	32	MLB CTX	PIT	65%	331	291	60	12	1	13	33	95	4	0	2	207	295	391	686	185	253	29	10	305	96	-1	-1	-2	-2	+7	0.1
2040	33	MLB CTX	PIT	65%	307	271	55	11	1	12	30	90	3	0	1	200	287	376	663	176	247	29	10	296	90	-4	-0	-3	-2	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4649	4082	889	185	20	201	470	1283	60	101	45	218	308	421	728	203	262	28	10	322	105	+44	+2	-10	-28	+101	11.2
/ 162G	—	A+C		—	650	571	125	26	3	28	66	179	8	14	6	219	309	422	731	203	264	28	10	322	105	+6	+0	-1	-4	+14	1.6
Career	—	MLE		—	8275	7250	1573	316	36	381	840	2328	114	213	89	217	308	428	736	211	260	28	10	323	105	+65	+3	-16	-44	+157	17.0
/ 162G	—	MLE		—	650	569	124	25	3	30	66	183	9	17	7	218	309	431	740	213	261	28	10	323	105	+6	+0	-1	-4	+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 A+Greensboro Grasshoppers · 435 PAwOBA .364 → .285 (−79)K% 26.4% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.44%	÷1.000	×1.310	—	—	34.63%
BB% (unintentional) /PA	14.94%	÷1.000	×0.600	—	×1.042	9.34%
HBP% /PA	1.61%	—	×0.770	—	×1.042	1.29%
Singles /BIP	15.98%	÷1.000	×0.870	×0.950	×1.042	13.77%
Doubles /BIP	6.56%	÷1.000	×0.780	×0.950	×1.042	5.06%
Triples /BIP	1.23%	÷1.000	×0.850	×0.950	×1.042	1.03%
Home runs /BIP	9.84%	÷1.000	×0.880	—	×1.042	9.02%

Factors used: league row South Atlantic League. 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 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .364 → .285; ISO .262 → .227; BABIP .259 → .214. 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 ABradenton Marauders · 40 PAwOBA .512 → .433 (−79)K% 17.5% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.50%	÷1.000	×1.360	—	—	23.80%
BB% (unintentional) /PA	27.50%	÷1.000	×0.690	—	×1.030	19.54%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	14.29%	÷1.000	×0.920	—	×1.030	13.54%
Doubles /BIP	14.29%	÷1.000	×0.830	—	×1.030	12.21%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.030	0.00%
Home runs /BIP	14.29%	÷1.000	×0.800	—	×1.030	11.77%

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).

Result: wOBA .512 → .433; ISO .429 → .385; BABIP .316 → .278. 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 ABradenton Marauders · 238 PAwOBA .381 → .301 (−79)K% 23.5% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.000	×1.360	—	—	32.00%
BB% (unintentional) /PA	13.87%	÷1.052	×0.690	—	×1.045	9.50%
HBP% /PA	2.52%	—	×0.780	—	×1.045	2.05%
Singles /BIP	17.27%	÷0.993	×0.920	×0.950	×1.045	15.88%
Doubles /BIP	12.23%	÷1.084	×0.830	×0.950	×1.045	9.30%
Triples /BIP	0.00%	÷0.952	×0.910	×0.950	×1.045	0.00%
Home runs /BIP	7.19%	÷0.932	×0.800	—	×1.045	6.45%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 99, 2B 117, 3B 90, K 100, BB 110 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .381 → .301; ISO .241 → .197; BABIP .311 → .263. 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 ROKFCL Pirates · 113 PAwOBA .454 → .321 (−134)K% 19.5% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.47%	÷1.006	×1.440	—	—	27.87%
BB% (unintentional) /PA	13.27%	÷0.998	×0.620	—	×1.008	8.31%
HBP% /PA	0.88%	—	×0.720	—	×1.008	0.64%
Singles /BIP	26.03%	÷1.022	×0.820	×0.953	×1.008	20.05%
Doubles /BIP	8.22%	÷1.119	×0.720	×0.953	×1.008	5.07%
Triples /BIP	2.74%	÷0.950	×0.720	×0.953	×1.008	1.99%
Home runs /BIP	8.22%	÷1.000	×0.780	—	×1.008	6.46%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 104, 2B 124, 3B 90, K 101, BB 100 — 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 ×0.953.

Result: wOBA .454 → .321; ISO .295 → .214; BABIP .397 → .286. 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 Pirates Gold · 190 PAwOBA .391 → .257 (−134)K% 18.9% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.95%	÷1.011	×1.220	—	—	22.87%
BB% (unintentional) /PA	19.47%	÷0.971	×0.700	—	×1.008	14.15%
HBP% /PA	3.16%	—	×0.700	—	×1.008	2.23%
Singles /BIP	19.09%	÷1.024	×0.680	×0.950	×1.008	12.13%
Doubles /BIP	9.09%	÷1.084	×0.600	×0.950	×1.008	4.81%
Triples /BIP	1.82%	÷0.989	×0.600	×0.950	×1.008	1.06%
Home runs /BIP	4.55%	÷0.847	×0.470	—	×1.008	2.54%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 69, 1B 105, 2B 117, 3B 98, K 102, BB 94 — 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 ×0.950.

Result: wOBA .391 → .257; ISO .199 → .115; BABIP .314 → .185. 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
#1Jeromy Burnitz'93-'06 * career totals — 13 seasons, 6,579 PA	9.9	6,579	315	74	243*	330*	466*	-62	-31	22.9	21.7
/162	664	32	7	-6.3	-3.1	2.3	pk7: 20
#2Jay Brucelast yr '20 career totals — 13 seasons, 6,603 PA	9.9	6,603	318	65	245	314	469	-71	-54	19.6	19.5
/162	664	32	7	-7.1	-5.4	2.0	pk7: 19
#3Tom Brunansky'81-'94 * career totals — 13 seasons, 7,169 PA	10.8	7,169	271	69	243*	327*	457*	-77	-6	19.0	17.7
/162	664	25	6	-7.1	-0.5	1.8	pk7: 16
#4Rob Deer'84-'96 * career totals — 10 seasons, 4,512 PA	6.8	4,512	230	43	218*	322*	466*	-51	+17	16.9	16.3
/162	664	34	6	-7.4	+2.5	2.5	pk7: 16
#5Joey Gallolast yr '24 career totals — 9 seasons, 3,373 PA	5.1	3,373	207	32	195	320	459	-29	-11	13.5	14.1
/162	664	41	6	-5.6	-2.1	2.7	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.0	4,658	218	102	222	308	436	-28	-0	14.7	12.8
/162	664	31	14	-4.0	-0.1	2.1	pk7: 11
#6Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13

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
Edward Florentino (OGILVIE)	20	—	—	—	—	206/296/414	208	255	10	5	30%	10%	100	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eric Arce 2012 · A	20	41	55→60	47→30	47	214/312/402	188	287	23	4	32%	10%	103	+1.5	198/287/352	154	334	18	4	42%	10%	82	-0.0	140/248/285	145	254	20	0	49%	11%	51	-0.6
●Andy Pages 2022 · A	21	42→52	59→60	45→50	47	225/317/433	209	295	27	6	32%	10%	112	+2.2	225/305/404	179	293	21	7	29%	8%	100	+1.3	269/326/453	184	315	23	10	22%	6%	121	+2.8
✕Jaff Decker 2011 · A	21	48→52	55	45→55	52	242/334/429	186	315	22	7	29%	11%	116	+2.5	215/301/366	151	287	17	9	29%	10%	90	+0.6	231/308/347	116	299	10	13	24%	9%	86	+0.2
●Eddie Rosario 2012 · A	20	46→55	54→60	55→50	41	241/281/417	176	291	22	16	26%	5%	93	+0.8	249/287/392	143	310	13	10	23%	5%	89	+0.5	279/311/486	207	297	28	7	17%	4%	123	+2.9
●Mike Carp 2006 · A	20	41→51	53→55	44→40	38	215/291/382	168	295	22	4	34%	6%	91	+0.7	243/316/381	138	309	16	3	25%	7%	99	+1.2	261/324/446	185	321	23	4	25%	8%	116	+1.6
●Colby Rasmus 2008 · AA	21	45→54	53→65	54→50	47	233/303/412	180	281	20	15	25%	8%	101	+1.4	238/304/402	164	285	19	12	23%	8%	99	+1.2	243/309/466	223	315	29	3	32%	8%	116	+1.9
●Spencer Torkelson 2022 · AAA	22	43→45	57→60	45→40	51	229/318/434	206	277	25	6	27%	10%	112	+2.2	220/302/392	172	276	20	3	27%	10%	96	+1.0	227/317/425	198	291	25	1	30%	10%	110	+2.2
●Miguel Sanó 2013 · A	20	40→50	54→70	46→45	43	211/285/395	184	296	22	5	35%	9%	91	+0.6	230/313/454	224	319	28	7	35%	10%	114	+2.4	244/332/473	229	340	30	2	35%	11%	126	+2.9
●Tyler Soderstrom 2023 · AAA	21	46→52	55→60	44→40	38	238/286/425	187	315	24	3	32%	6%	97	+1.1	231/289/416	185	291	24	4	29%	7%	97	+1.1	249/327/456	208	287	26	4	23%	9%	120	+2.2
●Joey Gallo 2013 · A	19	42→36	62→70	53→45	46	223/309/453	231	315	31	8	38%	10%	113	+2.3	194/268/416	222	316	31	8	46%	9%	90	+0.6	208/323/509	301	256	43	6	37%	14%	126	+2.6
●Corey Patterson 2001 · MLB	21	45→54	53→55	47→60	46	233/302/403	170	288	21	12	27%	8%	99	+1.2	245/287/393	148	297	17	16	23%	4%	90	+0.6	263/300/434	170	320	18	24	23%	4%	105	+1.6
✕George Valera 2022 · AA	21	44→43	52→50	49→45	52	221/322/385	164	301	20	12	32%	12%	102	+1.5	215/299/365	150	300	18	6	32%	10%	88	+0.5	222/290/363	141	290	16	5	28%	8%	82	+0.0
✕Orelvis Martinez 2022 · A	20	40→36	58→60	47→40	42	217/283/421	203	278	26	5	32%	7%	96	+1.0	203/271/392	189	257	26	4	32%	7%	85	+0.2	194/265/382	188	239	26	3	31%	7%	79	-0.2
✕Eric Campbell 2006 · A	20	43→48	55	50	39	227/277/418	191	292	23	12	31%	6%	93	+0.8	227/274/398	171	258	22	9	22%	5%	87	+0.4	226/287/373	148	253	18	3	18%	7%	84	+0.1
●Lonnie Chisenhall 2010 · AA	21	43→53	52→55	47→45	42	225/273/392	167	271	20	4	25%	6%	85	+0.2	245/295/393	148	289	16	4	21%	5%	93	+0.8	265/317/428	163	306	18	4	19%	6%	110	+1.4
●Chris Carter 2009 · A	22	39→49	59→65	47→45	44	216/286/422	207	277	27	3	32%	8%	97	+1.1	235/310/433	198	303	25	6	30%	9%	108	+1.9	225/312/459	235	286	33	4	33%	11%	116	+2.4
●Javier Báez 2014 · AA	21	45→55	59→65	54→55	36	240/287/452	212	309	27	16	32%	4%	105	+1.7	235/281/410	175	321	23	17	33%	5%	93	+0.8	274/302/512	239	331	31	15	27%	4%	126	+3.0
✕Chris Lubanski 2006 · A	21	47→52	56→55	54→45	38	244/286/437	193	314	24	10	30%	5%	101	+1.4	234/288/392	158	303	16	7	27%	7%	90	+0.6	224/281/376	153	292	15	6	28%	7%	82	+0.0
✕Jarred Kelenic 2021 · AA	22	45→54	54→60	53→50	43	235/291/415	180	301	21	14	29%	7%	97	+1.1	229/294/412	183	290	21	13	27%	8%	97	+1.1	230/297/414	184	294	20	15	28%	8%	99	+1.1
★Cody Bellinger 2017 · AA	22	41→51	56→70	50	45	221/287/407	186	279	24	8	30%	8%	94	+0.9	259/330/502	243	304	31	13	25%	9%	131	+3.6	272/348/540	268	304	34	14	23%	10%	149	+5.2

Edward Florentino

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps