Dante Nori

OF Reading Fightin Phils

Age 22 L/L 5'9" / 190 lbs AA HR +14% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP40OGV rank#273ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	APHI	66	.240/.424/.280	0	4	70	—	.204/.348/.241
2025	20	AA/A+/A/INTL2 orgs	621	.264/.367/.376	5	54	82	—	.232/.310/.328
2026	21	AA/A+/INTL2 orgs	368	.225/.313/.332	3	19	68	—	.228/.286/.322
2027PROJMLE	22	MLBPHI	4	.248/.311/.347	0	0	86	0.0
2028PROJ35% MLB	23	MLBPHI	166	.253/.317/.369	2	7	93	0.2
2029PROJ47% MLB	24	MLBPHI	242	.256/.321/.383	4	10	97	0.5

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$3M2032Arb-2$6M2033Arb-3$7M

Skills · percentileMiLB Statcast 2026 AA

Z-Con%95

Whiff%90

K%89

Speed87

Chase%46

BB%38

Career WAR0.2 WAR median (P10 -0.3 / P90 15, comp-based) · star 6% · didn't stick 66%

CompsGarin Cecchini (age 22) · Maikel Garcia (age 22) · Hak-Ju Lee (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†86

AVG/OBP/SLG.248 / .311 / .347

PA4

HR0

K%25

BB%8

BABIP301

ISO89

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$7M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2031	Arb-1	$3M	+0.7	$2M	+$0.0M (cut)
2032	Arb-2	$6M	+0.7	$2M	+$0.0M (cut)
2033	Arb-3	$7M	+0.5	$1M	+$0.0M (cut)
Totals		$2M		$10M	+$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)
2024	19	A	Clearwater Threshers	—	66	50	12	0	1	0	16	14	0	4	2	240	424	280	704	40	333	21	24	344	70	—	—	—	—	—	—
2025	20	AA	Reading Fightin Phils	—	22	21	4	0	1	0	1	2	0	2	1	190	227	286	513	95	211	9	5	229	36	—	—	—	—	—	—
2025	20	A+	Jersey Shore BlueClaws	—	53	43	12	2	0	0	8	8	1	13	2	279	404	326	729	47	333	15	15	338	72	—	—	—	—	—	—
2025	20	A	Clearwater Threshers	—	502	423	111	16	11	4	66	75	4	37	7	262	367	381	748	118	306	15	13	335	80	—	—	—	—	—	—
2025	20	INTL	Surprise Saguaros	—	44	39	12	2	0	1	5	7	0	2	1	308	386	436	822	128	355	16	11	370	137	—	—	—	—	—	—
2026	21	AA	Reading Fightin Phils	—	306	275	67	13	5	3	28	50	2	17	7	244	318	360	678	116	288	16	9	306	73	—	—	—	—	—	—
2026	21	A+	Jersey Shore BlueClaws	—	17	16	2	0	0	0	1	2	0	0	0	125	176	125	301		143	12	6	148	-37	—	—	—	—	—	—
2026	21	INTL	Surprise Saguaros	—	45	34	4	1	1	0	11	9	0	2	1	118	333	206	539	88	160	20	24	275	72	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	A MLE	Clearwater Threshers	—	66	54	11	0	1	0	12	19	0	4	2	204	348	241	589	37	301	29	18	271	70	—	—	—	—	—	—
2025	20	AA MLE	Reading Fightin Phils	—	22	21	4	0	1	0	1	2	0	2	1	190	227	286	513	95	221	9	5	222	36	—	—	—	—	—	—
2025	20	A+ MLE	Jersey Shore BlueClaws	—	53	46	12	2	0	0	5	10	1	13	2	261	346	304	651	43	299	19	9	275	72	—	—	—	—	—	—
2025	20	A MLE	Clearwater Threshers	—	502	442	102	14	11	3	47	96	4	37	7	231	310	333	643	102	278	19	9	286	80	—	—	—	—	—	—
2026	21	AA MLE	Reading Fightin Phils	—	306	282	66	12	5	2	21	61	2	17	7	234	292	333	625	99	291	20	7	276	73	—	—	—	—	—	—
2026	21	A+ MLE	Jersey Shore BlueClaws	—	17	16	2	0	0	0	1	3	0	0	0	125	176	125	301		126	18	6	114	-37	—	—	—	—	—	—
2024	19	A MLE	Clearwater Threshers	—	66	54	11	0	1	0	12	19	0	4	2	204	348	241	589	37	314	29	18	271	70	—	—	—	—	—	—
2024	19	A RAW	Clearwater Threshers	—	66	50	12	0	1	0	16	14	0	4	2	240	424	280	704	40	333	21	24	344	70	—	—	—	—	—	—
2025	20	A MLE	4 teams	—	621	550	127	17	13	3	56	117	5	54	11	231	308	325	633	95	284	19	9	283	77	—	—	—	—	—	—
2025	20	A RAW	4 teams	—	621	526	139	20	12	5	80	92	5	54	11	264	367	376	743	112	307	15	13	334	77	—	—	—	—	—	—
2026	21	AA MLE	3 teams	—	368	341	78	13	6	3	24	72	2	19	8	229	283	328	612	100	282	20	7	267	67	—	—	—	—	—	—
2026	21	AA RAW	3 teams	—	368	325	73	14	6	3	40	61	2	19	8	225	313	332	646	108	268	17	11	295	67	—	—	—	—	—	—
2024	19	A MLE	Clearwater Threshers	—	66	54	11	0	1	0	12	19	0	4	2	204	348	241	589	37	301	29	18	271	70	—	—	—	—	—	—
2025	20	A MLE	4 teams	—	621	555	127	17	13	3	56	117	5	54	11	229	308	323	630	94	278	19	9	283	77	—	—	—	—	—	—
2026	21	AA MLE	3 teams	—	368	339	78	13	6	3	24	72	2	19	8	230	283	330	614	100	282	20	7	267	67	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Clearwater Threshers	—	66	54	11	0	1	0	12	19	0	4	2	204	348	241	589	37	301	29	18	271	70	—	—	—	—	—	—
2025	20	A MLE	4 teams	—	621	555	127	17	13	3	56	117	5	54	11	229	308	323	630	94	278	19	9	283	77	—	—	—	—	—	—
2026	21	AA MLE	3 teams	—	368	339	78	13	6	3	24	72	2	19	8	230	283	330	614	100	282	20	7	267	67	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	PHI	2%	433	394	97	17	6	3	33	80	3	18	5	248	310	346	656	98	301	18	8	295	86	-7	+2	+1	-3	+9	0.2
▸ 2027 — real world (MLB)
2027	22	MLB CTX	PHI	2%	4	4	1	0	0	0	0	1	0	0	0	248	311	347	658	99	301	25	0	296	86	-0	+0	+0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	PHI	35%	473	430	108	18	7	6	37	87	3	20	6	252	316	366	682	114	301	18	8	305	93	-4	+2	+1	-3	+10	0.6
2029	24	MLB MLE	PHI	47%	521	471	120	20	7	8	41	95	4	22	7	255	320	379	699	124	302	18	8	312	97	-2	+2	+1	-3	+11	1.0
2030	25	MLB MLE	PHI	52%	555	502	129	22	8	9	44	102	4	23	7	256	322	386	707	130	302	18	8	315	100	-0	+2	+1	-3	+12	1.2
2031	26	MLB MLE	PHI	54%	580	524	135	23	8	11	47	108	4	24	7	256	322	388	710	133	301	19	8	316	100	+0	+2	+2	-3	+13	1.3
2032	27	MLB MLE	PHI	54%	599	541	138	24	8	11	49	113	4	24	7	254	321	387	708	133	300	19	8	315	100	-0	+2	+2	-4	+13	1.3
2033	28	MLB MLE	PHI	54%	594	537	135	23	7	11	48	114	4	21	7	252	319	382	701	130	299	19	8	313	98	-2	+1	+1	-4	+13	1.0
2034	29	MLB MLE	PHI	53%	580	524	131	22	7	10	47	113	4	18	6	250	316	376	692	126	298	19	8	309	95	-3	+1	+0	-3	+13	0.7
2035	30	MLB MLE	PHI	52%	564	510	126	21	7	9	45	111	4	14	5	247	312	368	680	121	296	20	8	304	92	-5	+1	-1	-3	+12	0.4
2036	31	MLB MLE	PHI	52%	379	344	83	14	4	6	30	76	2	6	3	242	307	358	665	116	293	20	8	298	88	-5	+0	-2	-2	+8	-0.1
2028	23	MLB CTX	PHI	35%	166	151	37	6	2	2	13	30	1	7	2	253	317	369	686	116	302	18	8	307	93	-1	+1	+0	-1	+4	0.2
2029	24	MLB CTX	PHI	47%	242	219	56	9	3	4	19	44	2	10	3	256	321	383	704	126	302	18	8	314	97	-1	+1	+1	-1	+5	0.5
2030	25	MLB CTX	PHI	52%	288	261	67	11	4	5	23	53	2	12	4	257	323	390	713	133	302	18	8	318	100	-0	+1	+1	-2	+6	0.6
2031	26	MLB CTX	PHI	54%	315	285	73	12	4	6	25	59	2	13	4	257	323	393	716	136	301	19	8	319	100	+0	+1	+1	-2	+7	0.7
2032	27	MLB CTX	PHI	54%	325	294	74	12	4	6	26	61	2	13	4	256	322	392	714	136	301	19	8	318	100	-0	+1	+1	-2	+7	0.7
2033	28	MLB CTX	PHI	54%	322	291	73	12	4	6	26	62	2	11	4	254	320	387	707	133	300	19	8	315	98	-1	+1	+0	-2	+7	0.5
2034	29	MLB CTX	PHI	53%	308	278	71	12	4	6	25	60	2	9	3	251	317	380	697	129	298	19	8	311	95	-2	+1	+0	-2	+7	0.4
2035	30	MLB CTX	PHI	52%	296	268	67	11	4	5	24	58	2	7	3	248	313	372	685	124	297	20	8	306	92	-3	+0	-0	-2	+6	0.2
2036	31	MLB CTX	PHI	52%	197	178	43	7	2	3	16	40	1	3	1	244	308	362	670	118	294	20	8	300	88	-3	+0	-1	-1	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2459	2225	561	92	31	43	197	467	16	85	28	252	317	379	697	127	300	19	8	313	92	-11	+6	+3	-15	+53	3.7
/ 162G	—	A+C		—	650	588	147	24	8	11	52	123	4	22	7	250	315	374	689	124	298	19	8	313	92	-3	+2	+1	-4	+14	1.0
Career	—	MLE		—	6110	5519	1368	225	86	88	496	1166	41	258	79	248	315	368	682	120	298	19	8	304	92	-25	+13	+6	-30	+110	7.4
/ 162G	—	MLE		—	650	587	145	24	9	9	53	124	4	27	8	247	314	365	678	118	297	19	8	304	92	-3	+2	+1	-4	+14	1.0

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 AAReading Fightin Phils · 306 PAwOBA .298 → .276 (−23)K% 16.3% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.34%	÷1.000	×1.220	—	—	19.93%
BB% (unintentional) /PA	9.15%	÷1.000	×0.700	—	×1.042	6.67%
HBP% /PA	0.65%	—	×0.850	—	×1.042	0.58%
Singles /BIP	20.44%	÷1.000	×0.970	×1.025	×1.042	21.19%
Doubles /BIP	5.78%	÷1.000	×0.860	×1.025	×1.042	5.31%
Triples /BIP	2.22%	÷1.000	×0.950	×1.025	×1.042	2.26%
Home runs /BIP	1.33%	÷1.000	×0.780	—	×1.042	1.08%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .298 → .276; ISO .116 → .106; BABIP .288 → .291. 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+Jersey Shore BlueClaws · 17 PAwOBA .144 → .114 (−30)K% 11.8% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.000	×1.310	—	—	15.41%
BB% (unintentional) /PA	5.88%	÷1.000	×0.600	—	×1.012	3.57%
HBP% /PA	0.00%	—	×0.770	—	×1.012	0.00%
Singles /BIP	14.29%	÷1.000	×0.870	—	×1.012	12.58%
Doubles /BIP	0.00%	÷1.000	×0.780	—	×1.012	0.00%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.012	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×1.012	0.00%

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 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .144 → .114; ISO .000 → .000; BABIP .143 → .126. 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 AClearwater Threshers · 502 PAwOBA .331 → .286 (−45)K% 14.9% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.94%	÷1.065	×1.360	—	—	19.07%
BB% (unintentional) /PA	13.15%	÷0.975	×0.690	—	×1.015	9.45%
HBP% /PA	0.80%	—	×0.780	—	×1.015	0.63%
Singles /BIP	22.99%	÷1.030	×0.920	×1.003	×1.015	20.91%
Doubles /BIP	4.60%	÷0.975	×0.830	×1.003	×1.015	3.98%
Triples /BIP	3.16%	÷0.923	×0.910	×1.003	×1.015	3.17%
Home runs /BIP	1.15%	÷1.083	×0.800	—	×1.015	0.86%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 106, 2B 95, 3B 85, K 113, BB 95 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .331 → .286; ISO .118 → .109; BABIP .306 → .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 A+Jersey Shore BlueClaws · 53 PAwOBA .337 → .275 (−62)K% 15.1% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.09%	÷1.002	×1.310	—	—	19.73%
BB% (unintentional) /PA	15.09%	÷1.093	×0.600	—	×1.027	8.51%
HBP% /PA	1.89%	—	×0.770	—	×1.027	1.49%
Singles /BIP	28.57%	÷0.966	×0.870	—	×1.027	26.42%
Doubles /BIP	5.71%	÷1.073	×0.780	—	×1.027	4.27%
Triples /BIP	0.00%	÷1.150	×0.850	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.045	×0.880	—	×1.027	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 109, 1B 93, 2B 115, 3B 130, K 100, BB 119 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .337 → .275; ISO .047 → .037; BABIP .333 → .299. 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 AAReading Fightin Phils · 22 PAwOBA .223 → .222 (0)K% 9.1% → 10.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷1.016	×1.220	—	—	10.91%
BB% (unintentional) /PA	4.55%	÷0.982	×0.700	—	×1.050	3.40%
HBP% /PA	0.00%	—	×0.850	—	×1.050	0.00%
Singles /BIP	15.79%	÷0.968	×0.970	—	×1.050	16.62%
Doubles /BIP	0.00%	÷1.004	×0.860	—	×1.050	0.00%
Triples /BIP	5.26%	÷0.959	×0.950	—	×1.050	5.47%
Home runs /BIP	0.00%	÷1.036	×0.780	—	×1.050	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 94, 2B 101, 3B 92, K 103, BB 96 — 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).

Result: wOBA .223 → .222; ISO .095 → .098; BABIP .211 → .221. 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 AClearwater Threshers · 66 PAwOBA .338 → .271 (−67)K% 21.2% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷0.982	×1.360	—	—	29.37%
BB% (unintentional) /PA	24.24%	÷0.973	×0.690	—	×1.030	17.72%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	30.56%	÷1.042	×0.920	—	×1.030	27.78%
Doubles /BIP	0.00%	÷0.938	×0.830	—	×1.030	0.00%
Triples /BIP	2.78%	÷1.132	×0.910	—	×1.030	2.30%
Home runs /BIP	0.00%	÷1.115	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 108, 2B 88, 3B 126, K 96, BB 95 — 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 .338 → .271; ISO .040 → .032; BABIP .333 → .301. 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
#1Eric Byrneslast yr '09 career totals — 8 seasons, 3,440 PA	5.2	3,440	106	125	260	321	441	-21	+3	14.9	15.2
/162	664	20	24	-4.1	+0.6	2.9	pk7: 16
#2Dan Gladden'83-'93 * career totals — 11 seasons, 4,962 PA	7.5	4,962	74	222	268*	324*	407*	-33	+36	14.2	14.1
/162	664	10	30	-4.4	+4.8	1.9	pk7: 14
#3Gerardo Parralast yr '21 career totals — 12 seasons, 5,290 PA	8.0	5,290	90	97	275	322	403	-51	+11	12.3	12.3
/162	664	11	12	-6.3	+1.4	1.5	pk7: 12
#4Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#5Billy Hatcher'84-'95 * career totals — 10 seasons, 4,752 PA	7.2	4,752	54	218	261*	310*	385*	-20	-5	4.9	6.8
/162	664	8	30	-2.9	-0.7	0.7	pk7: 9
#6Miguel Dilone'74-'85 * career totals — 8 seasons, 2,182 PA	3.3	2,182	6	265	260*	315*	355*	-20	+15	4.0	5.1
/162	664	2	81	-6.1	+4.7	1.2	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.7	2,464	41	86	253	315	380	-15	+15	4.9	4.7
/162	664	11	23	-4.0	+4.0	1.3	pk7: 5

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
Dante Nori (OGILVIE)	22	—	—	—	—	245/308/343	98	301	1	9	19%	8%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Garin Cecchini 2013 · A	22	54→64	39→45	59→55	45	253/309/350	97	329	5	27	24%	7%	87	+0.4	256/323/360	104	336	7	16	24%	8%	95	+1.0	249/317/347	98	328	7	13	24%	8%	87	+0.3
●Maikel Garcia 2022 · A	22	51→58	39→45	58→60	51	240/305/333	93	302	5	22	21%	9%	82	-0.0	250/306/350	100	317	7	27	22%	8%	86	+0.3	260/322/390	130	293	10	24	14%	8%	102	+1.4
✕Hak-Ju Lee 2013 · AA	22	53→59	38→40	59→55	46	250/303/339	90	320	4	24	22%	7%	82	+0.0	226/285/311	85	308	5	23	26%	7%	70	-0.9	201/259/269	69	292	5	20	31%	7%	48	-1.2
●Ezequiel Carrera 2009 · A	22	50→60	39→45	57→60	46	235/297/328	93	300	6	20	23%	7%	78	-0.3	268/329/345	77	338	3	25	20%	8%	93	+0.8	279/339/344	65	344	2	32	18%	7%	94	+0.7
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	227/302/334	107	261	9	17	17%	8%	82	+0.0	255/308/340	85	288	5	13	13%	7%	84	+0.2	264/325/346	82	304	4	14	13%	8%	92	+0.6
✕Rey Fuentes 2013 · AA	22	47→57	38→40	57→60	40	220/273/301	81	311	5	27	30%	6%	63	-1.4	261/313/355	94	344	7	29	24%	6%	90	+0.6	283/333/378	95	362	7	33	22%	6%	99	+0.9
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8
●Sal Frelick 2022 · A	22	53→63	40→45	56→55	49	250/311/350	101	314	7	17	22%	8%	88	+0.5	269/331/377	108	313	8	19	15%	8%	102	+1.5	271/336/373	101	313	6	20	15%	8%	101	+1.2
✕Jace Peterson 2013 · A	23	53→57	37→50	60→55	52	247/312/333	86	296	3	27	17%	8%	84	+0.2	251/316/352	101	306	6	23	18%	8%	91	+0.6	239/315/386	147	295	14	19	23%	9%	98	+0.8
✕Chandler Simpson 2023 · A	22	48→58	38→30	56→70	48	226/293/312	85	299	4	17	24%	8%	73	-0.6	267/311/317	50	307	1	59	12%	6%	80	-0.2	302/334/348	46	335	0	63	9%	5%	94	+0.8
●Ender Inciarte 2013 · A	22	52→62	37→45	56→60	48	245/292/327	83	291	2	22	16%	6%	76	-0.4	261/301/344	83	298	5	27	13%	5%	82	+0.0	292/338/390	98	325	7	19	12%	6%	107	+1.9
✕Hoy Park 2018 · A	22	44→52	39→45	58→55	46	208/280/301	93	279	6	17	26%	8%	66	-1.1	228/306/313	85	303	5	16	24%	9%	78	-0.3	234/324/332	98	306	8	17	24%	11%	88	+0.3
●Mallex Smith 2014 · A	21	49→59	37→45	58→65	48	231/303/301	70	302	5	34	24%	8%	75	-0.5	263/326/356	93	344	5	44	23%	8%	95	+1.0	278/341/377	99	360	5	52	22%	8%	102	+1.1
✕Micah Johnson 2014 · AA	23	52→61	40→45	63→60	43	247/296/348	101	326	6	35	25%	6%	82	-0.0	261/306/358	97	336	6	28	23%	6%	88	+0.4	261/307/352	91	337	6	27	23%	6%	84	+0.1
●Zac Veen 2024 · AA	22	44→53	41→55	60	45	211/282/314	103	302	8	34	31%	8%	70	-0.8	229/289/373	144	306	14	25	28%	7%	86	+0.3	243/302/419	176	316	18	22	28%	7%	98	+0.8
●Brett Bateman 2024 · A	22	51→61	37→30	54→55	55	238/324/309	70	307	4	18	22%	11%	84	+0.2	252/333/313	61	337	3	21	23%	11%	88	+0.5	267/352/328	61	355	3	23	23%	11%	96	+0.8
✕Brandon Roberts 2007 · A	22	53→61	37→40	56→55	43	250/297/318	68	311	4	28	20%	5%	76	-0.4	257/305/325	68	314	4	19	18%	5%	80	-0.1	277/332/344	68	330	4	22	16%	5%	92	+0.4
✕Carlos Mendoza 2022 · A	22	52→56	37→40	55	58	239/338/313	74	288	3	18	17%	11%	91	+0.7	238/338/308	70	305	3	14	20%	11%	91	+0.6	246/335/334	88	300	7	18	19%	10%	93	+0.6
✕Davis Bradshaw 2019 · A	21	52	37→40	59→50	45	244/299/321	78	309	3	20	21%	6%	77	-0.3	225/271/288	63	293	2	11	23%	4%	59	-1.7	271/323/338	67	341	3	10	20%	5%	87	+0.2
●Michael Bourn 2006 · AA	23	54→62	39→45	57→65	45	253/305/341	88	332	6	24	25%	7%	84	+0.1	250/305/340	90	322	6	37	22%	7%	84	+0.1	273/334/374	101	348	5	38	21%	8%	103	+1.7

Dante Nori

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps