Randy Florentino

Randy FlorentinoC Aberdeen IronBirds

Age 26 L/R 6'0" / 182 lbs A+ HR +8%BB -5% Svc 0.0 · Ctrl thru 2035 peak 0.4 · 2028

wRC+†68

AVG/OBP/SLG.216 / .276 / .328

PA136

HR2

K%25

BB%7

MLB%0%

trajectory · 10 yrs

0.5peak

2028

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	+0.3	$1M	+$0.5M
2031	Arb-3	$0.9M	+0.1	$0.5M	+$0.0M (cut)
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$-4M	-$7M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2018	18	ROK	DSL Rangers 2	249	213	47	13	4	5	31	73	1	8	8	.221	.322	.390	.712	.169	.302	29	12	.310	95	-1	-2	+0	+4	+7	0.9
2019	19	ROK	AZL Rangers	170	150	26	3	1	2	15	56	1	0	3	.173	.253	.247	.500	.073	.250	33	9	.220	27	-14	-1	+0	+3	+5	-0.8
2021	21	A	Down East Wood Ducks	174	156	17	4	0	2	13	72	1	2	2	.109	.182	.173	.355	.064	.176	41	7	.169	-12	-22	-0	+0	+3	+5	-1.5
2022	22	A+	Hickory Crawdads	180	161	31	3	1	3	13	57	1	2	0	.193	.257	.280	.537	.087	.269	32	7	.231	35	-13	+0	+0	+3	+5	-0.5
2023	23	A	3 teams	216	197	37	5	0	4	13	44	1	3	1	.188	.242	.274	.516	.086	.214	20	6	.228	33	-16	+0	+0	+4	+6	-0.6
2024	24	A+	Aberdeen IronBirds	143	139	26	6	1	1	3	40	1	1	2	.187	.210	.266	.476	.079	.255	28	2	.203	14	-14	-1	+0	+3	+4	-0.8
▸ 2026 Season
2026	26	MLB	BAL	136	125	27	5	1	2	9	34	1	2	1	.216	.274	.320	.594	.104	.276	25	7	.274	68	-5	+0	+0	+2	+4	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 10%	BAL	209	190	42	8	1	4	15	52	2	3	1	.221	.285	.337	.622	.116	.278	25	7	.279	72	-7	+0	+0	+4	+6	0.3
2028	28	MLB 20%	BAL	276	252	55	11	1	5	20	68	2	4	1	.218	.281	.329	.610	.111	.279	25	7	.281	73	-8	+0	-1	+5	+8	0.4
2029	29	MLB 33%	BAL	310	281	62	12	2	6	23	77	3	4	1	.221	.287	.342	.628	.121	.279	25	7	.281	73	-9	+0	-1	+6	+9	0.4
2030	30	MLB 43%	BAL	333	302	67	13	2	7	25	84	3	4	1	.222	.288	.348	.636	.126	.278	25	8	.279	72	-11	+0	-2	+6	+9	0.3
2031	31	MLB 52%	BAL	320	290	62	12	1	6	24	82	3	2	0	.214	.281	.324	.605	.110	.276	26	8	.275	69	-11	+0	-3	+6	+9	0.1
2032	32	MLB 64%	BAL	300	272	57	11	1	5	22	79	3	0	0	.210	.276	.312	.589	.103	.275	26	7	.271	65	-12	+0	-4	+5	+8	-0.1
2033	33	MLB 81%	BAL	268	244	51	10	1	4	20	72	2	0	0	.209	.274	.307	.582	.098	.273	27	7	.265	61	-12	+0	-4	+5	+8	-0.4
2034	34	MLB	BAL	224	204	41	8	1	3	16	62	2	0	0	.201	.266	.294	.560	.093	.272	28	7	.259	56	-11	+0	-5	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			3508	3176	648	124	18	59	262	952	27	35	21	.204	.270	.310	.581	.106	.268	27	7	.261	58	-167	-1	-20	+63	+99	-2.6
/ 162G	—			650	588	120	23	3	11	49	176	5	6	4	.204	.271	.310	.581	.105	.268	27	8	.261	58	-31	-0	-4	+12	+18	-0.5

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
2018	18	ROK	DSL Rangers 2	249	191	59	18	5	6	53	51	1	8	8	.309	.461	.550	1.011	.241	.384	20	21	.436	192	+26	-2	—	—	+7	3.2
2019	19	ROK	AZL Rangers	170	140	34	4	1	2	25	39	1	0	3	.243	.361	.329	.690	.086	.311	23	15	.315	99	-0	-1	—	—	+5	0.4
2021	21	A	Down East Wood Ducks	174	149	22	5	0	3	20	54	1	2	2	.148	.253	.242	.495	.094	.200	31	11	.230	34	-13	-0	—	—	+5	-0.9
2022	22	A+	Hickory Crawdads	180	153	37	3	1	4	21	44	1	2	0	.242	.337	.353	.690	.111	.306	24	12	.308	94	-1	+0	—	—	+5	0.4
2023	23	AA	Bowie Baysox	82	72	8	1	0	0	8	12	1	0	0	.111	.210	.125	.335	.014	.131	15	10	.170	-12	-10	+0	—	—	+2	-0.8
2023	23	A+	Aberdeen IronBirds	22	21	6	2	0	0	1	7	0	1	0	.286	.318	.381	.699	.095	.429	32	5	.313	98	-0	+0	—	—	+1	0.1
2023	23	A	Delmarva Shorebirds	112	97	28	4	0	4	11	14	0	2	1	.289	.361	.454	.815	.165	.289	12	10	.350	126	+3	+0	—	—	+3	0.7
2024	24	A+	Aberdeen IronBirds	143	137	36	9	1	1	5	30	1	1	2	.263	.294	.365	.659	.102	.330	21	3	.294	83	-3	-1	—	—	+4	0.1

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
Randy Florentino (OGILVIE)	26	—	—	—	—	.216/.276/.328	.112	.276	2	2	25%	7%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕César Salazar 2022 · AA	26	41→40	46→45	47→45	41	.210/.270/.338	.128	.259	15	8	25%	5%	68	-0.5	.209/.287/.342	.133	.251	16	8	23%	6%	77	+0.1	.201/.292/.321	.120	.236	14	6	21%	7%	72	-0.1
✕LJ Talley 2023 · AAA	26	45→47	46→45	53→50	44	.227/.283/.352	.125	.283	13	10	24%	6%	76	+0.1	.220/.284/.338	.118	.280	12	12	25%	8%	73	-0.1	.188/.271/.281	.093	.237	10	12	24%	10%	50	-0.6
✕Matt Wallach 2012 · AA	26	44	44→45	45→40	48	.217/.284/.331	.114	.254	11	4	19%	7%	72	-0.2	.207/.278/.300	.093	.266	10	5	25%	7%	62	-0.9	.184/.255/.245	.061	.249	8	2	28%	7%	35	-1.1
✕J.C. Escarra 2021 · A	26	41→46	43→45	49→45	44	.204/.261/.306	.102	.245	11	5	22%	6%	55	-1.4	.205/.277/.312	.107	.265	10	8	26%	7%	64	-0.8	.214/.291/.335	.121	.256	11	6	20%	8%	74	-0.0
✕Nick Fortes 2022 · MLB	25	43	45	47→45	45	.214/.278/.334	.119	.252	13	7	21%	6%	70	-0.3	.223/.283/.346	.123	.253	15	8	18%	6%	76	+0.0	.217/.272/.326	.109	.242	13	6	16%	5%	62	-0.5
✕Casey Stevenson 2014 · AAA	26	46	43→45	47→45	44	.226/.283/.332	.106	.276	11	7	22%	6%	71	-0.3	.212/.272/.305	.093	.260	8	8	21%	6%	59	-1.1	.179/.241/.237	.058	.217	3	5	18%	6%	30	-1.0
✕Cole Tucker 2022 · MLB	26	43→48	43→45	50→55	46	.212/.276/.327	.115	.274	11	12	26%	8%	67	-0.5	.205/.272/.298	.093	.294	8	12	30%	8%	58	-1.2	.195/.268/.269	.074	.290	5	11	32%	9%	47	-0.9
✕Tzu-Wei Lin 2020 · MLB	26	48→49	42→45	46→50	44	.233/.283/.342	.109	.301	8	10	25%	7%	72	-0.2	.211/.264/.309	.098	.293	9	13	29%	7%	56	-1.3	.140/.224/.229	.089	.198	11	18	34%	10%	17	-0.9
✕Ryan Mount 2013 · AA	26	44	46→50	50	39	.222/.264/.353	.130	.288	14	11	28%	5%	69	-0.4	.241/.288/.385	.144	.295	16	7	23%	6%	87	+0.8	.273/.320/.460	.187	.310	21	0	19%	6%	115	+0.8
✕Austin Davidson 2019 · AA	26	47→43	45	48→45	47	.232/.292/.360	.128	.280	12	7	21%	7%	82	+0.5	.217/.280/.327	.110	.282	9	6	25%	7%	69	-0.4	.189/.258/.274	.085	.255	6	1	26%	8%	43	-1.3
✕Shayne Fontana 2023 · AAA	26	41	44→45	45→55	45	.202/.287/.319	.117	.301	13	8	35%	9%	71	-0.3	.224/.301/.331	.107	.295	10	18	26%	8%	79	+0.3	.230/.306/.325	.095	.290	9	25	22%	7%	76	+0.1
✕Steven Lerud 2011 · AAA	26	42	43→45	45→40	43	.210/.278/.320	.110	.279	11	4	28%	7%	67	-0.5	.197/.266/.291	.094	.297	9	4	34%	7%	54	-1.4	.202/.293/.284	.082	.291	7	2	30%	9%	62	-0.3
✕Chad De La Guerra 2019 · AAA	26	45→50	44→50	49→45	40	.220/.271/.334	.114	.299	11	7	30%	6%	66	-0.6	.222/.279/.368	.146	.311	16	8	32%	7%	79	+0.3	.209/.277/.370	.161	.296	17	8	33%	8%	74	-0.0
✕Bryce Windham 2023 · AA	26	43	41→40	47→50	53	.211/.287/.306	.095	.253	8	6	20%	9%	66	-0.6	.226/.291/.317	.091	.293	6	11	23%	8%	70	-0.3	.240/.299/.327	.087	.320	3	15	24%	8%	73	-0.0
✕Beau Taylor 2016 · AA	26	40→46	41→45	44→30	44	.197/.264/.290	.093	.278	9	4	31%	8%	53	-1.5	.218/.287/.312	.094	.311	8	3	30%	8%	68	-0.5	.215/.303/.325	.110	.307	10	1	31%	11%	76	+0.0
✕Garrett Stubbs 2019 · AAA	26	48	41→45	54→50	48	.231/.293/.331	.101	.279	8	12	20%	7%	75	-0.0	.220/.289/.328	.108	.272	9	15	21%	8%	73	-0.1	.215/.306/.321	.106	.276	10	10	24%	11%	78	+0.0
✕Johnny Monell 2012 · AAA	26	44	47→50	45	44	.223/.280/.359	.136	.287	14	6	27%	7%	77	+0.1	.221/.285/.363	.142	.294	15	6	28%	8%	80	+0.4	.214/.281/.358	.144	.278	15	6	28%	8%	76	+0.0
✕Stevie Berman 2022 · AA	27	42	43→50	49→40	48	.208/.284/.316	.108	.260	11	7	24%	8%	69	-0.4	.206/.292/.328	.122	.270	13	5	27%	9%	76	+0.0	.190/.289/.313	.123	.250	14	1	28%	10%	69	-0.1
✕Logan Driscoll 2023 · A	25	42→45	45	49→40	41	.211/.275/.335	.124	.295	13	6	32%	7%	69	-0.4	.225/.281/.350	.125	.306	13	5	29%	6%	76	+0.0	.232/.286/.359	.127	.311	13	3	29%	5%	76	+0.1
✕Lance Zawadzki 2011 · MLB	26	47→49	42→45	53→50	44	.227/.281/.336	.109	.294	10	14	25%	7%	71	-0.3	.208/.250/.305	.097	.278	9	15	27%	5%	50	-1.8	.194/.230/.278	.084	.260	7	18	28%	4%	30	-1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)