Axiel Plaz — OGILVIE

Axiel PlazC Greensboro Grasshoppers

Age 20 R/R 5'11" / 165 lbs A+ BB +7% Svc 0.0 · Ctrl thru 2035 peak 3.7 · 2033

wRC+†99

AVG/OBP/SLG.201 / .280 / .354

PA264

HR9

SB5

K%34

BB%8

MLB%0%

Scouting · now → future

HIT

40→40

PWR

57→57

SPD

24→24

FLD

42→42

EYE

46↗51

trajectory · 10 yrs

3.6peak

2031

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
2026	MiLB	still in minors · estimated debut 2030
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	Arb-2	$0.9M	+3.4	$31M	+$30M
2031	Arb-3	$0.9M	+3.6	$33M	+$32M
2032	Ext / FA-deal	$0.9M	+3.6	$34M	+$33M
2033	Ext / FA-deal	$7M	+3.7	$36M	+$29M
2034	Ext / FA-deal	$11M	+3.5	$35M	+$24M
2035	Ext / FA-deal	$16M	+3.3	$34M	+$18M
Totals		$38M		$205M	+$167M

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
2022	16	ROK	DSL PIT Gold	86	72	20	8	1	2	9	24	4	2	0	.278	.388	.500	.888	.222	.383	28	10	.352	128	+3	+0	+0	+2	+2	0.7
2023	17	ROK	FCL Pirates	131	107	10	2	1	1	13	64	10	0	1	.093	.254	.159	.413	.065	.209	49	10	.187	1	-15	-0	+0	+2	+4	-0.9
2024	18	A	2 teams	306	271	40	9	0	11	26	125	4	1	0	.148	.233	.303	.535	.155	.207	41	8	.235	38	-21	+0	+0	+5	+9	-0.7
2025	19	A	3 teams	334	299	59	12	0	11	22	91	8	1	0	.197	.271	.348	.618	.151	.238	27	7	.272	67	-13	+0	+0	+6	+9	0.3
▸ 2026 Season (actual · ROS · total)
2026	20	A+	Greensboro Grasshoppers	70	65	21	4	0	2	3	20	2	3	0	.323	.371	.477	.848	.154	.442	29	4	.355	130	+2	+1	+0	+1	+2	0.6
ROS	20	MLB	PIT	194	174	38	8	0	6	14	64	4	2	0	.218	.292	.368	.659	.149	.306	33	7	.300	88	-3	+0	+0	+3	+5	0.7
TOT	20	MLB	PIT	264	239	59	12	0	8	17	84	6	5	0	.247	.313	.397	.710	.151	.345	32	6	.315	99	-0	+1	+0	+5	+7	1.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	PIT	332	295	68	13	1	11	27	102	7	4	0	.231	.310	.393	.703	.163	.309	31	8	.316	100	-0	+1	+0	+6	+9	1.7
2028	22	MLB 28%	PIT	426	378	90	17	1	16	36	128	9	5	0	.238	.319	.415	.734	.177	.310	30	8	.324	106	+3	+1	+0	+8	+12	2.4
2029	23	MLB 48%	PIT	486	430	103	19	1	19	43	142	10	5	0	.240	.323	.421	.744	.181	.310	29	9	.331	111	+6	+1	+0	+9	+14	3.1
2030	24	MLB 63%	PIT	520	458	112	21	1	21	47	149	10	4	0	.245	.328	.432	.760	.188	.310	29	9	.335	115	+9	+1	+0	+9	+15	3.4
2031	25	MLB 80%	PIT	520	457	112	21	1	21	48	148	10	4	0	.245	.330	.433	.763	.188	.311	28	9	.339	117	+10	+1	+0	+9	+15	3.6
2032	26	MLB 94%	PIT	520	455	112	21	1	21	49	148	11	3	0	.246	.334	.435	.769	.189	.311	28	9	.340	119	+11	+1	+0	+9	+15	3.6
2033	27	MLB	PIT	520	454	111	21	1	21	50	149	11	3	0	.244	.334	.434	.768	.189	.311	29	10	.340	119	+11	+1	+0	+9	+15	3.7
2034	28	MLB	PIT	520	455	110	20	1	21	50	150	10	2	0	.242	.330	.429	.759	.187	.311	29	10	.339	118	+10	+0	-0	+9	+15	3.5
2035	29	MLB	PIT	520	454	110	20	1	21	51	151	10	2	0	.242	.332	.430	.762	.187	.310	29	10	.337	116	+9	+0	-1	+9	+15	3.3
2036	30	MLB	PIT	520	454	109	20	1	21	51	153	10	1	0	.240	.330	.427	.757	.187	.309	29	10	.334	114	+8	+0	-2	+9	+15	3.1
2037	31	MLB	PIT	504	440	104	19	1	19	49	150	10	1	0	.236	.327	.414	.740	.177	.307	30	10	.330	111	+6	+0	-3	+9	+14	2.8
2038	32	MLB	PIT	478	420	98	18	1	18	46	145	9	1	0	.233	.322	.410	.732	.176	.305	30	10	.325	107	+4	+0	-3	+9	+14	2.3
2039	33	MLB	PIT	435	382	88	16	1	16	42	135	8	1	0	.230	.319	.403	.723	.173	.304	31	10	.320	103	+1	+0	-4	+8	+12	1.8
2040	34	MLB	PIT	379	333	74	13	1	13	36	121	7	0	0	.222	.311	.384	.696	.162	.302	32	9	.313	97	-1	+0	-5	+7	+11	1.2
2041	35	MLB	PIT	320	281	61	11	0	11	30	105	6	0	0	.217	.306	.374	.680	.157	.299	33	9	.305	91	-3	+0	-5	+6	+9	0.6
2042	36	MLB	PIT	261	230	47	8	0	8	24	89	5	0	0	.204	.293	.343	.637	.139	.296	34	9	.295	84	-5	+0	-6	+5	+7	0.1
2043	37	MLB	PIT	201	177	36	6	0	6	18	70	4	0	0	.203	.291	.339	.630	.136	.292	35	9	.285	76	-5	+0	-7	+4	+6	-0.3
2044	38	MLB	PIT	141	124	24	4	0	4	13	50	3	0	0	.194	.286	.323	.608	.129	.286	35	9	.273	67	-5	+0	-8	+3	+4	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8654	7600	1736	327	16	319	794	2653	180	42	1	.228	.316	.402	.718	.173	.303	31	9	.319	102	+21	+8	-43	+155	+245	39.4
/ 162G	—			650	571	131	25	1	24	60	199	14	3	0	.229	.318	.403	.721	.173	.304	31	9	.319	102	+2	+1	-3	+12	+18	3.0

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
2022	16	ROK	DSL PIT Gold	86	68	26	11	1	3	13	16	4	2	0	.382	.506	.706	1.212	.324	.460	19	15	.511	249	+14	+0	—	—	+2	1.8
2023	17	ROK	FCL Pirates	131	99	15	4	1	1	21	40	10	0	1	.152	.354	.242	.596	.091	.237	31	16	.298	86	-2	-0	—	—	+4	0.1
2024	18	A	Bradenton Marauders	281	242	50	11	0	15	32	82	3	1	0	.207	.307	.438	.745	.231	.235	29	11	.326	108	+2	+0	—	—	+8	1.1
2024	18	ROK	FCL Pirates	25	19	3	1	0	0	4	5	1	0	0	.158	.333	.211	.544	.053	.200	20	16	.265	61	-1	+0	—	—	+1	-0.0
2025	19	A+	Greensboro Grasshoppers	42	35	3	1	0	1	5	6	1	0	0	.086	.220	.200	.420	.114	.069	14	12	.202	13	-4	+0	—	—	+1	-0.3
2025	19	A	Bradenton Marauders	233	202	53	11	0	9	21	47	7	1	0	.262	.352	.450	.803	.188	.295	20	9	.354	129	+8	+0	—	—	+7	1.5
2025	19	INTL	Scottsdale Scorpions	59	48	17	0	0	0	10	8	0	0	0	.354	.466	.354	.820	.000	.415	14	17	.379	148	+3	+0	—	—	+2	0.5

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
Axiel Plaz (OGILVIE)	20	40	57	24	51	.201/.280/.354	.154	.279	9	2	34%	8%	78	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Travis Denker 2006 · A	20	45→52	52→50	38→45	49	.233/.303/.397	.164	.282	20	4	25%	9%	97	+1.5	.226/.299/.365	.139	.268	16	4	21%	9%	87	+0.8	.233/.308/.392	.159	.261	18	0	18%	8%	97	+0.8
●Nolan Gorman 2019 · A	19	43	54→60	39→45	41	.223/.285/.396	.173	.318	23	4	36%	8%	89	+1.0	.205/.259/.351	.146	.301	17	4	36%	6%	66	-0.6	.225/.289/.424	.199	.290	29	6	33%	8%	95	+1.2
●Mark Vientos 2022 · AAA	22	40→50	55→60	37→30	35	.218/.261/.399	.181	.292	25	3	35%	5%	81	+0.4	.243/.298/.442	.199	.327	27	2	33%	7%	107	+2.2	.246/.306/.451	.204	.321	28	0	31%	7%	109	+2.0
★Austin Riley 2017 · A	20	40→50	50→65	42→40	35	.207/.251/.361	.154	.300	18	4	37%	5%	66	-0.6	.223/.270/.391	.168	.312	22	3	34%	5%	82	+0.5	.273/.345/.498	.224	.325	30	1	25%	8%	136	+4.9
●Gary Sánchez 2012 · A	19	43→51	51→65	45	38	.220/.269/.377	.157	.304	20	4	34%	6%	78	+0.2	.225/.273/.367	.142	.295	17	6	29%	5%	76	+0.1	.232/.315/.480	.248	.254	37	1	26%	9%	119	+2.3
★Xander Bogaerts 2013 · AA	20	46→56	50→60	41→55	40	.235/.283/.391	.156	.298	18	4	28%	5%	87	+0.8	.256/.310/.394	.138	.321	14	6	24%	7%	98	+1.6	.293/.370/.507	.214	.325	27	7	18%	10%	148	+4.3
●Iván Herrera 2022 · AA	22	41→51	48→50	41→50	47	.213/.289/.342	.129	.274	17	4	28%	8%	77	+0.1	.236/.321/.368	.132	.306	14	9	26%	10%	97	+1.5	.278/.371/.439	.161	.339	19	13	22%	11%	132	+2.8
●Miguel Sanó 2013 · A	20	39→49	53→70	46→45	43	.208/.278/.385	.177	.285	21	5	34%	8%	84	+0.6	.226/.306/.449	.223	.311	28	7	35%	9%	112	+2.6	.243/.334/.470	.227	.340	31	2	35%	11%	124	+3.1
✕Max Stassi 2011 · A	20	39→43	45→55	43→40	38	.194/.254/.315	.121	.302	13	5	39%	7%	55	-1.4	.211/.269/.347	.136	.289	16	4	31%	6%	69	-0.4	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
●Derek Norris 2010 · A	21	42→52	52→55	45→50	47	.217/.293/.381	.164	.280	20	5	29%	9%	89	+0.9	.205/.301/.370	.165	.275	20	8	31%	11%	90	+1.0	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
●Ryan McMahon 2016 · A	21	45→55	50→55	39→45	38	.223/.277/.382	.159	.321	16	5	35%	6%	82	+0.5	.235/.287/.379	.144	.336	14	8	32%	6%	85	+0.7	.230/.314/.391	.161	.298	19	6	28%	10%	98	+1.6
✕Óscar Hernández 2014 · A	21	45	52→55	41→40	46	.234/.307/.396	.162	.276	20	4	23%	7%	99	+1.7	.206/.253/.320	.114	.268	10	4	26%	5%	55	-1.4	.188/.232/.316	.127	.234	15	3	26%	5%	42	-1.2
✕Eric Haase 2015 · A	22	39→41	48→65	42→40	38	.201/.253/.347	.146	.286	16	3	35%	6%	63	-0.9	.194/.252/.355	.161	.294	18	4	39%	6%	65	-0.7	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
✕Welington Castillo 2008 · A	21	45→55	44→60	42→30	39	.226/.274/.340	.114	.298	13	4	28%	5%	69	-0.4	.227/.267/.348	.121	.299	13	3	28%	4%	69	-0.4	.256/.312/.443	.187	.311	26	1	26%	7%	109	+1.6
●Jordan Diaz 2022 · A	21	48→56	49→55	42→30	44	.244/.289/.392	.148	.290	17	5	22%	6%	89	+1.0	.259/.299/.417	.158	.302	19	2	21%	5%	100	+1.7	.260/.302/.420	.160	.301	21	0	21%	5%	99	+1.3
✕Carter Kieboom 2018 · A	20	44→54	48→50	44→45	41	.224/.282/.368	.144	.295	16	5	29%	6%	81	+0.4	.233/.300/.366	.133	.307	15	6	27%	8%	87	+0.8	.230/.308/.354	.123	.305	14	5	27%	9%	84	+0.4
●Chris Carter 2008 · A	21	41→51	52→65	43→45	41	.215/.273/.380	.165	.279	21	3	31%	6%	81	+0.4	.225/.295/.427	.202	.289	26	5	31%	8%	102	+1.9	.221/.312/.438	.217	.288	29	4	33%	11%	106	+2.1
●Travis Snider 2008 · A	20	50→53	49→55	40→50	41	.246/.296/.400	.154	.339	16	5	31%	6%	94	+1.3	.245/.304/.414	.169	.339	19	5	31%	8%	102	+1.8	.244/.306/.422	.179	.324	22	5	30%	8%	101	+1.5
●Daniel Robertson 2014 · A	20	46→54	43→45	38→40	46	.227/.287/.337	.110	.280	10	4	22%	7%	74	-0.1	.243/.310/.355	.112	.303	9	3	22%	7%	89	+0.9	.234/.338/.350	.116	.305	12	4	25%	11%	96	+0.8
●Ryan Lavarnway 2010 · A	22	43→46	54→60	44→30	40	.225/.279/.406	.181	.298	21	4	32%	6%	89	+1.0	.233/.298/.402	.169	.294	21	2	27%	7%	96	+1.5	.231/.298/.387	.156	.283	20	1	25%	8%	91	+1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)