Derlin Figueroa — OGILVIE

Derlin Figueroa1B Quad Cities River Bandits

Age 22 L/R 6'0" / 163 lbs A+ HR -5%BB +4% Svc 0.0 · Ctrl thru 2035

wRC+†56

AVG/OBP/SLG.199 / .260 / .304

PA320

HR6

SB9

K%30

BB%7

MLB%0%

Scouting · now → future

HIT

50→50

PWR

35→35

SPD

50→50

EYE

44↗45

trajectory · 10 yrs

-0.5peak

2030

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	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$-2M		$-23M	-$20M

Underwater contract
Projected production over the remaining contract is worth -$20M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2021	17	ROK	DSL LAD Bautista	167	146	16	2	1	0	15	61	2	2	4	.110	.202	.137	.339	.027	.180	37	9	.168	-13	-21	-1	+0	-3	+5	-2.1
2022	18	ROK	DSL LAD Mega	169	152	33	3	1	7	11	53	3	8	4	.217	.283	.388	.671	.171	.277	31	7	.288	79	-4	+0	+0	-3	+5	-0.2
2023	19	ROK	ACL Royals	157	138	29	9	0	4	18	42	1	6	3	.210	.306	.362	.668	.152	.272	27	11	.298	86	-2	+0	+0	-3	+4	-0.1
2024	20	A	Columbia Fireflies	492	452	77	13	2	11	30	160	3	15	7	.170	.227	.281	.508	.111	.231	33	6	.221	27	-40	+0	+0	-9	+14	-3.6
2025	21	A	2 teams	482	438	82	13	2	5	33	136	3	24	4	.187	.249	.260	.509	.073	.254	28	7	.230	34	-36	+3	+0	-9	+14	-2.8
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Quad Cities River Bandits	51	48	10	1	0	2	2	20	1	2	1	.208	.255	.354	.609	.146	.308	39	4	.258	56	-3	+0	+0	-1	+1	-0.2
ROS	22	MLB	KC	269	247	49	8	1	5	18	83	2	7	2	.198	.258	.300	.558	.101	.276	31	7	.258	56	-13	+1	+0	-5	+8	-1.0
TOT	22	MLB	KC	320	295	59	9	1	7	20	103	3	9	3	.200	.258	.308	.566	.108	.280	32	6	.258	56	-16	+1	+0	-6	+9	-1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	KC	539	490	105	19	2	12	40	137	4	13	4	.214	.279	.335	.614	.120	.270	25	7	.278	71	-18	+1	+0	-10	+15	-1.1
2028	24	MLB 26%	KC	575	520	115	20	3	14	45	144	5	14	4	.221	.289	.352	.641	.131	.272	25	8	.285	77	-15	+1	+0	-10	+16	-0.8
2029	25	MLB 44%	KC	597	539	120	21	3	15	48	147	5	14	4	.223	.292	.356	.648	.134	.274	25	8	.290	80	-13	+1	+0	-11	+17	-0.6
2030	26	MLB 59%	KC	608	548	123	22	3	16	50	150	5	14	4	.224	.295	.363	.658	.139	.275	25	8	.293	82	-12	+1	+0	-11	+17	-0.5
2031	27	MLB 76%	KC	611	550	123	22	3	16	51	151	5	13	4	.224	.295	.362	.657	.138	.275	25	8	.293	82	-12	+1	+0	-11	+17	-0.5
2032	28	MLB 84%	KC	607	546	121	21	3	16	51	151	5	12	3	.222	.294	.359	.653	.137	.274	25	8	.292	82	-13	+1	-1	-11	+17	-0.6
2033	29	MLB 90%	KC	599	538	118	21	2	15	51	151	5	11	3	.219	.293	.349	.642	.130	.274	25	9	.290	80	-14	+1	-1	-11	+17	-0.8
2034	30	MLB	KC	589	529	115	20	2	15	50	150	5	10	2	.217	.291	.348	.639	.130	.272	25	8	.287	78	-15	+1	-2	-11	+17	-1.0
2035	31	MLB	KC	575	517	111	19	2	14	49	149	4	7	1	.215	.288	.340	.628	.126	.271	26	9	.283	75	-16	+1	-3	-10	+16	-1.2
2036	32	MLB	KC	557	501	106	18	2	13	47	148	4	5	0	.212	.284	.333	.618	.122	.269	27	8	.278	71	-18	+1	-4	-10	+16	-1.5
2037	33	MLB	KC	527	474	98	17	2	11	44	143	4	4	0	.207	.280	.321	.600	.114	.267	27	8	.273	67	-20	+1	-4	-9	+15	-1.8
2038	34	MLB	KC	479	433	88	15	2	10	40	134	3	3	0	.203	.275	.316	.592	.113	.266	28	8	.266	62	-21	+1	-5	-9	+14	-2.0
▸ Career Totals (MLE all levels + projections)
Career	—			8599	7758	1629	283	36	199	691	2290	68	182	53	.210	.280	.333	.613	.123	.269	27	8	.275	69	-304	+15	-20	-154	+244	-22.3
/ 162G	—			650	586	123	21	3	15	52	173	5	14	4	.210	.280	.333	.612	.123	.269	27	8	.275	69	-23	+1	-1	-12	+18	-1.7

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
2021	17	ROK	DSL LAD Bautista	167	134	22	3	2	0	27	40	2	2	4	.164	.313	.216	.529	.052	.224	24	16	.256	54	-9	-1	—	—	+5	-0.5
2022	18	ROK	DSL LAD Mega	169	142	42	5	1	9	21	35	3	8	4	.296	.398	.535	.933	.239	.330	21	12	.403	166	+13	+0	—	—	+5	1.8
2023	19	ROK	ACL Royals	157	128	42	14	0	5	28	29	1	6	3	.328	.452	.555	1.007	.227	.394	18	18	.442	197	+17	+0	—	—	+4	2.2
2024	20	A	Columbia Fireflies	492	431	96	16	3	13	49	108	3	15	7	.223	.305	.364	.669	.142	.263	22	10	.298	86	-8	+0	—	—	+14	0.7
2025	21	A+	Quad Cities River Bandits	213	188	37	5	0	2	21	62	1	13	2	.197	.281	.255	.536	.059	.276	29	10	.249	49	-12	+2	—	—	+6	-0.5
2025	21	A	Columbia Fireflies	269	231	62	11	3	4	30	40	2	11	2	.268	.356	.394	.750	.126	.305	15	11	.333	113	+4	+1	—	—	+8	1.3

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
Derlin Figueroa (OGILVIE)	22	50	35	50	45	.199/.260/.304	.105	.272	6	7	30%	7%	55	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Troy Montgomery 2017 · A	22	47→56	43→40	50	45	.227/.289/.343	.116	.293	11	12	26%	7%	76	+0.1	.230/.296/.328	.098	.309	8	13	26%	8%	75	-0.0	.237/.307/.326	.089	.321	6	14	26%	9%	76	+0.1
✕Carlos Rodríguez 2023 · A	22	46→56	38→40	51→50	44	.219/.278/.304	.084	.299	5	16	27%	7%	61	-1.0	.248/.301/.330	.082	.302	4	15	18%	7%	77	+0.1	.252/.303/.325	.073	.294	4	16	15%	7%	73	-0.1
✕Juan Silva 2013 · A	22	45→47	42→45	48→55	46	.215/.287/.318	.103	.305	9	12	30%	9%	69	-0.4	.227/.304/.329	.102	.305	8	23	26%	10%	79	+0.3	.224/.305/.319	.095	.293	7	29	24%	10%	74	-0.1
✕Ezequiel Pagan 2022 · A	22	45→54	41→45	52→50	39	.217/.265/.319	.102	.282	8	10	25%	4%	59	-1.1	.236/.287/.347	.111	.288	11	10	21%	5%	76	+0.1	.230/.283/.333	.103	.277	11	12	21%	5%	68	-0.3
✕Conner Capel 2019 · A	22	41→45	44→45	47→55	44	.208/.266/.330	.122	.270	11	11	27%	7%	63	-0.8	.210/.262/.328	.118	.279	12	11	28%	6%	61	-1.0	.216/.288/.339	.123	.271	13	19	24%	8%	71	-0.2
✕Darrell Ceciliani 2012 · A	22	45→54	39→45	52→55	43	.216/.271/.300	.084	.284	6	16	25%	6%	57	-1.2	.239/.286/.335	.096	.320	7	18	26%	5%	72	-0.2	.253/.292/.362	.109	.339	9	26	27%	4%	80	+0.2
✕Tristan Peters 2022 · A	22	45→50	40→45	53→50	43	.211/.278/.307	.096	.320	7	12	34%	8%	63	-0.9	.226/.293/.347	.121	.288	9	13	23%	8%	79	+0.3	.223/.294/.351	.128	.277	10	12	22%	8%	77	+0.1
✕Kier Meredith 2022 · A	22	43	37→30	51→60	45	.202/.271/.271	.070	.286	4	11	29%	8%	50	-1.7	.211/.307/.281	.070	.293	4	26	27%	8%	69	-0.4	.229/.340/.278	.049	.305	3	35	22%	10%	80	+0.1
✕Mike Daniel 2007 · A	22	39→49	42→45	48→50	42	.193/.256/.293	.100	.274	10	11	32%	7%	50	-1.8	.232/.283/.346	.114	.314	11	14	28%	6%	74	-0.1	.239/.288/.351	.112	.317	11	15	27%	6%	75	+0.0
✕Forrest Wall 2018 · A	22	45→55	40→45	51→70	43	.218/.268/.312	.094	.281	8	16	25%	6%	59	-1.1	.218/.277/.327	.109	.305	10	19	30%	7%	67	-0.5	.260/.332/.371	.111	.354	9	50	27%	9%	98	+1.0
✕Drew Vettleson 2013 · A	22	46→50	43→45	50	43	.225/.277/.337	.112	.300	11	13	28%	7%	69	-0.4	.219/.263/.326	.107	.301	9	8	29%	6%	60	-1.0	.206/.247/.310	.104	.288	8	7	30%	5%	47	-1.2
✕Mike Papi 2015 · A	22	39→47	41→45	50→45	50	.193/.270/.290	.097	.251	9	7	26%	9%	56	-1.3	.198/.278/.306	.108	.280	9	6	30%	9%	63	-0.8	.211/.294/.337	.126	.280	14	4	28%	10%	76	+0.1
✕Daryl Jones 2009 · AA	22	47→55	42→45	52→50	44	.228/.294/.335	.107	.298	10	16	26%	7%	77	+0.1	.226/.292/.328	.102	.300	8	12	26%	7%	74	-0.1	.215/.284/.311	.095	.286	8	10	26%	7%	63	-0.5
✕Andrew Aplin 2013 · A	22	43→53	44→40	48→55	41	.217/.255/.331	.114	.263	11	12	23%	5%	59	-1.1	.226/.297/.320	.094	.266	7	18	17%	9%	73	-0.1	.235/.313/.320	.085	.277	6	23	16%	10%	79	+0.3
✕BJ Boyd 2015 · A	22	43→53	38→45	49→50	44	.205/.260/.283	.078	.271	5	11	25%	7%	48	-1.9	.239/.284/.323	.084	.302	5	11	22%	5%	68	-0.5	.261/.310/.376	.115	.317	11	10	21%	5%	90	+0.6
✕JT Schwartz 2022 · A	22	43→46	39→45	51→45	48	.206/.278/.293	.087	.258	5	9	21%	8%	59	-1.1	.221/.281/.324	.103	.283	8	6	24%	7%	68	-0.5	.222/.295/.336	.114	.269	10	6	21%	8%	75	-0.0
✕Chris Pieters 2018 · A	23	46	40→45	52→55	46	.219/.288/.317	.098	.289	6	14	25%	7%	69	-0.4	.209/.262/.298	.089	.296	6	11	29%	6%	53	-1.5	.174/.209/.223	.049	.263	0	15	32%	4%	8	-0.8
✕James Adduci 2007 · A	22	47→57	40→45	49→60	43	.222/.277/.318	.096	.300	6	8	27%	7%	64	-0.8	.244/.293/.312	.068	.340	3	16	27%	6%	69	-0.4	.251/.306/.362	.111	.318	11	27	23%	7%	86	+0.6
✕Ernie De La Trinidad 2018 · A	22	45→54	43→40	49→40	43	.218/.280/.338	.120	.280	9	6	25%	6%	71	-0.3	.229/.295/.322	.093	.287	8	4	22%	7%	73	-0.1	.222/.290/.312	.090	.287	10	4	25%	6%	68	-0.3
✕Chris Meyers 2022 · A	23	41→46	42→50	51→40	45	.201/.269/.304	.103	.264	9	11	26%	7%	59	-1.1	.222/.280/.362	.140	.293	16	7	29%	6%	79	+0.3	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)