Dante Nori — OGILVIE

Dante NoriOF Reading Fightin Phils

Age 21 L/L 5'9" / 190 lbs AA HR +11%H +4% Svc 0.0 · Ctrl thru 2034 peak 2.3 · 2031

wRC+†89

AVG/OBP/SLG.230 / .312 / .342

PA320

HR4

SB12

K%21

BB%10

MLB%2%

Scouting · now → future

HIT

35↗50

PWR

28↗34

SPD

67↘64

FLD

46↗59

EYE

56→56

trajectory · 10 yrs

2.3peak

2031

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
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+2.0	$17M	+$17M
2030	Arb-2	$0.9M	+2.2	$20M	+$19M
2031	Arb-3	$0.9M	+2.3	$21M	+$20M
2032	Ext / FA-deal	$5M	+2.3	$22M	+$17M
2033	Ext / FA-deal	$7M	+2.2	$22M	+$14M
2034	Ext / FA-deal	$9M	+1.9	$19M	+$10M
Totals		$24M		$121M	+$97M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2024	19	A	Clearwater Threshers	66	54	10	0	1	0	12	20	0	4	2	.185	.333	.222	.556	.037	.294	30	18	.264	60	-3	+0	+0	-0	+2	-0.2
2025	20	A	4 teams	621	546	125	19	12	3	60	121	5	54	11	.229	.311	.324	.635	.095	.284	19	10	.282	74	-18	+6	+0	-4	+18	0.2
▸ 2026 Season (actual · ROS · total)
2026	21	AA	Reading Fightin Phils	76	72	19	2	3	2	2	19	1	3	5	.264	.293	.458	.752	.194	.333	25	3	.302	89	-1	-1	+0	-0	+2	-0.1
ROS	21	MLB	PHI	244	219	52	8	4	4	21	52	2	9	4	.237	.310	.365	.675	.128	.292	21	9	.301	88	-3	+0	+0	-1	+7	0.3
TOT	21	MLB	PHI	320	291	71	10	7	6	23	71	3	12	9	.244	.306	.388	.694	.144	.302	22	7	.301	89	-4	-1	+0	-2	+9	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 12%	PHI	542	480	117	18	9	9	52	100	5	19	9	.244	.324	.375	.699	.131	.287	18	10	.313	98	-1	+0	+0	-3	+15	1.1
2028	23	MLB 29%	PHI	586	518	128	20	9	12	58	107	5	20	9	.247	.329	.390	.719	.143	.288	18	10	.320	103	+2	+0	+0	-4	+17	1.6
2029	24	MLB 46%	PHI	615	542	134	21	9	13	62	112	6	20	9	.247	.331	.391	.722	.144	.289	18	10	.325	107	+5	+0	+0	-4	+17	2.0
2030	25	MLB 61%	PHI	631	556	139	22	9	14	64	114	6	19	8	.250	.334	.397	.731	.147	.289	18	10	.328	109	+6	+1	+0	-4	+18	2.2
2031	26	MLB 78%	PHI	639	562	141	22	9	15	66	116	6	19	8	.251	.336	.402	.738	.151	.290	18	10	.330	110	+7	+1	+0	-4	+18	2.3
2032	27	MLB 93%	PHI	639	561	140	22	9	15	67	116	6	18	8	.250	.336	.401	.737	.152	.290	18	10	.330	110	+8	+0	+0	-4	+18	2.3
2033	28	MLB	PHI	634	556	138	22	9	14	67	117	6	17	7	.248	.335	.396	.731	.147	.289	18	11	.329	110	+7	+1	-0	-4	+18	2.2
2034	29	MLB	PHI	624	547	135	21	9	14	66	117	6	16	7	.247	.334	.395	.729	.148	.289	19	11	.326	108	+6	+0	-1	-4	+18	1.9
2035	30	MLB	PHI	614	538	132	21	9	13	65	117	6	15	6	.245	.333	.390	.724	.145	.288	19	11	.323	106	+4	+1	-2	-4	+17	1.7
2036	31	MLB	PHI	600	526	127	20	8	12	64	117	5	13	6	.241	.329	.378	.708	.137	.286	20	11	.320	103	+2	+0	-2	-4	+17	1.3
2037	32	MLB	PHI	581	509	121	19	8	11	62	116	5	12	6	.238	.326	.371	.698	.134	.285	20	11	.315	99	-0	+0	-3	-3	+16	0.9
2038	33	MLB	PHI	551	483	113	17	8	10	58	114	5	11	6	.234	.322	.364	.687	.130	.284	21	11	.310	95	-3	-0	-4	-3	+16	0.5
2039	34	MLB	PHI	504	442	102	15	7	9	53	108	4	11	5	.231	.319	.357	.676	.127	.282	21	11	.304	91	-5	+0	-5	-3	+14	0.1
2040	35	MLB	PHI	447	395	88	13	6	7	46	101	3	10	5	.223	.309	.339	.648	.116	.280	23	10	.296	85	-8	+0	-5	-3	+13	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			9138	8034	1942	300	135	175	943	1765	81	287	116	.242	.327	.378	.705	.136	.288	19	10	.317	100	+5	+11	-21	-55	+259	20.3
/ 162G	—			650	571	138	21	10	12	67	126	6	20	8	.242	.327	.377	.704	.135	.289	19	10	.317	100	+0	+1	-1	-4	+18	1.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2024	19	A	Clearwater Threshers	66	50	12	0	1	0	16	14	0	4	2	.240	.424	.280	.704	.040	.333	21	24	.344	122	+2	+0	—	—	+2	0.4
2025	20	AA	Reading Fightin Phils	22	21	4	0	1	0	1	2	0	2	1	.190	.227	.286	.513	.095	.211	9	5	.229	33	-2	+0	—	—	+1	-0.1
2025	20	A+	Jersey Shore BlueClaws	53	43	12	2	0	0	8	8	1	13	2	.279	.404	.326	.729	.047	.333	15	15	.338	117	+1	+2	—	—	+2	0.4
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	114	+8	+5	—	—	+14	2.7
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	141	+2	+0	—	—	+1	0.3

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)	21	35→50	28→34	67→64	56	.230/.312/.342	.112	.286	4	12	21%	10%	87	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Pinto 2023 · A	20	50	41→45	59→65	52	.234/.322/.340	.106	.284	6	29	19%	9%	90	+1.0	.231/.312/.347	.116	.294	10	19	23%	8%	88	+0.9	.235/.317/.335	.100	.305	7	18	23%	9%	81	+0.1
●Mallex Smith 2014 · A	21	49→59	37→45	58→65	48	.230/.300/.300	.070	.295	5	33	23%	8%	70	-0.3	.257/.321/.348	.091	.334	5	44	23%	8%	90	+1.0	.272/.334/.371	.099	.351	5	52	22%	8%	98	+1.2
●Evan Carter 2023 · AA	20	46→52	45→50	55	51	.224/.304/.359	.135	.280	11	21	23%	9%	87	+0.8	.231/.318/.378	.147	.301	14	21	26%	10%	98	+1.6	.227/.321/.379	.152	.295	16	24	26%	10%	96	+0.9
✕Brandon Roberts 2006 · A	21	49→59	39→40	57→55	43	.236/.287/.322	.086	.295	6	20	22%	5%	69	-0.4	.251/.298/.318	.067	.312	4	23	20%	5%	72	-0.2	.276/.331/.345	.070	.330	4	22	17%	5%	91	+0.6
✕Jakob Marsee 2023 · A	22	45→47	43→45	57→60	53	.214/.313/.328	.115	.295	9	20	28%	11%	84	+0.6	.215/.314/.338	.123	.272	13	32	24%	11%	87	+0.8	.209/.308/.338	.130	.260	14	40	24%	11%	81	+0.5
✕Nicky Lopez 2017 · A	22	47→57	42→40	56→55	51	.229/.303/.336	.107	.265	9	17	17%	8%	81	+0.4	.248/.301/.331	.083	.281	5	14	13%	6%	77	+0.1	.256/.317/.334	.078	.294	4	14	13%	8%	82	+0.4
✕Davis Bradshaw 2019 · A	21	52	37→40	58→50	45	.241/.297/.320	.079	.307	3	18	22%	6%	73	-0.1	.226/.272/.288	.062	.291	2	11	22%	4%	53	-1.5	.274/.326/.342	.068	.345	3	10	20%	5%	88	+0.5
●Andrés Giménez 2020 · AA	21	48→58	41→50	53→55	40	.229/.282/.336	.106	.295	8	23	24%	4%	72	-0.2	.246/.304/.386	.140	.311	14	24	25%	5%	95	+1.4	.262/.326/.420	.159	.312	17	25	21%	5%	108	+2.1
✕Forrest Wall 2016 · A	20	45→55	42→45	57→70	45	.220/.273/.329	.110	.277	8	17	23%	7%	66	-0.6	.218/.270/.313	.095	.291	8	18	26%	6%	59	-1.1	.260/.332/.371	.111	.354	9	50	27%	9%	98	+1.0
●CJ Abrams 2022 · AA	21	51→53	43→55	56→60	43	.247/.296/.367	.120	.312	8	21	23%	6%	85	+0.7	.247/.296/.379	.132	.295	13	29	20%	5%	89	+0.9	.248/.310/.428	.179	.287	18	35	20%	6%	104	+2.1
✕Masyn Winn 2023 · AA	21	45→53	43→50	61→55	44	.220/.278/.344	.124	.294	9	27	28%	7%	72	-0.2	.237/.291/.371	.134	.285	13	17	21%	7%	85	+0.7	.244/.299/.375	.131	.283	14	12	19%	6%	86	+0.8
●Luis Rengifo 2019 · AAA	22	48→55	42→50	56→55	47	.233/.294/.350	.117	.285	8	25	21%	7%	80	+0.4	.232/.300/.354	.122	.285	11	15	21%	8%	84	+0.6	.267/.318/.414	.147	.301	17	16	17%	6%	105	+1.6
●Michael Harris II 2022 · A	21	49→57	42→55	56→55	41	.237/.286/.348	.111	.312	9	19	26%	6%	76	+0.1	.271/.315/.439	.168	.332	18	21	23%	5%	112	+2.6	.278/.321/.456	.177	.328	21	21	21%	5%	116	+2.7
✕Dalton Pompey 2014 · A	21	44→54	40→45	57→55	46	.212/.280/.309	.097	.289	6	21	28%	8%	63	-0.8	.250/.309/.355	.105	.324	7	26	23%	7%	87	+0.8	.260/.318/.360	.100	.329	7	29	22%	7%	88	+0.8
✕Grégor Blanco 2006 · AA	22	48→58	42→45	57→60	46	.223/.297/.335	.112	.332	8	22	33%	9%	77	+0.1	.251/.327/.329	.078	.335	3	21	23%	10%	88	+0.9	.264/.341/.367	.103	.318	6	19	17%	10%	96	+1.1
✕Carlos Mendoza 2022 · A	22	52→56	36→40	55	57	.240/.334/.313	.073	.289	3	18	17%	10%	89	+0.9	.240/.343/.312	.072	.309	3	14	21%	12%	92	+1.2	.252/.341/.336	.084	.311	6	19	19%	9%	94	+0.9
✕Drew Cumberland 2010 · A	21	52	37→45	55	50	.245/.306/.325	.080	.283	4	17	15%	7%	78	+0.2	.265/.311/.386	.121	.314	10	19	18%	5%	96	+1.5	.307/.337/.452	.146	.361	14	25	18%	3%	121	+1.8
●Sal Frelick 2022 · A	22	52→60	41→45	55	48	.247/.306/.350	.103	.310	7	16	22%	8%	85	+0.7	.264/.324/.374	.110	.307	8	18	16%	7%	98	+1.6	.265/.329/.365	.100	.306	7	20	15%	8%	94	+1.1
●Maikel Garcia 2022 · A	22	50→56	39→45	58→60	50	.237/.300/.330	.093	.298	5	21	21%	8%	77	+0.1	.243/.299/.343	.100	.308	7	27	22%	7%	80	+0.4	.251/.312/.364	.113	.295	9	27	17%	8%	88	+1.0
●Garin Cecchini 2013 · A	22	51→61	39→45	58→55	44	.240/.292/.333	.093	.308	5	26	23%	6%	74	-0.1	.250/.315/.352	.102	.327	7	17	24%	8%	89	+1.0	.240/.307/.336	.096	.316	7	13	24%	8%	78	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)