Alan Roden — OGILVIE

Alan RodenLF St. Paul Saints

INJURED · Reassigned to Minors (RM)

Age 26 L/R 5'11" / 215 lbs AAA BB +3% Svc 1.000 · Ctrl thru 2030 peak 0.7 · 2027

wRC+†vL 97100vR 63

AVG/OBP/SLG.216 / .292 / .338

PA138

HR3

K%19

BB%7

xwOBA.227

Barrel%2.0%

MLB%55%

Scouting · now → future

HIT

46→46

PWR

38↗41

SPD

51→51

FLD

55→55

EYE

50↘45

trajectory · 10 yrs

0.5peak

2027

Barrel%

102.0

xwOBA

100.227

Avg EV

1586.4

Whiff%

540.105

Chase%

330.350

Speed

5827.8

Bat Spd

3870.1

Contract

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

Status Pre-Arb

MLB Debut 2025

Service 1.000 yrs.days

Team Control Through 2030

First FA Year 2031

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2027	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2028	Arb-1	$1M	+0.6	$3M	+$1M
2029	Arb-2	$2M	+0.5	$2M	+$0.4M
2030	Arb-3	$2M	+0.3	$1M	+$0.0M (cut)
Totals		$6M		$10M	+$4M

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	22	A	Dunedin Blue Jays	115	96	20	4	0	1	11	18	5	5	1	.208	.321	.281	.603	.073	.237	16	10	.288	79	-3	+1	+0	-1	+3	-0.0
2023	23	A+	2 teams	532	467	128	25	2	8	43	86	21	24	4	.274	.362	.388	.749	.113	.321	16	8	.327	109	+5	+3	+0	-6	+15	1.8
2024	24	AAA	2 teams	530	472	124	23	3	13	43	93	11	14	1	.263	.338	.407	.745	.144	.300	18	8	.325	107	+4	+2	+0	-6	+15	1.6
2025	25	MLB	2 teams	295	262	62	12	2	5	19	53	10	5	2	.237	.313	.355	.668	.118	.274	18	6	.296	85	-5	+0	+2	-3	+8	0.2
▸ 2026 Season (actual · ROS · total)
2026	26	AAA	St. Paul Saints	87	74	18	3	0	3	12	17	1	2	1	.243	.356	.405	.762	.162	.278	20	14	.327	108	+1	+0	+0	-1	+2	0.2
ROS	26	MLB	MIN	51	46	10	2	0	1	4	10	1	1	0	.217	.294	.326	.620	.109	.254	20	8	.298	86	-1	+0	+0	-1	+1	0.0
TOT	26	MLB	MIN	138	120	28	5	0	4	16	27	2	3	1	.233	.333	.375	.708	.142	.270	20	12	.316	100	+0	+0	+0	-1	+4	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 73%	MIN	372	325	75	14	2	9	36	61	8	8	2	.231	.322	.369	.692	.138	.252	16	10	.309	94	-2	+1	+1	-4	+11	0.6
2028	28	MLB 81%	MIN	386	338	78	14	2	10	37	65	8	8	2	.231	.321	.373	.694	.142	.254	17	10	.309	94	-2	+1	+1	-4	+11	0.6
2029	29	MLB 88%	MIN	385	338	76	14	2	9	37	67	7	7	2	.225	.314	.358	.672	.133	.255	17	10	.307	93	-3	+1	-0	-4	+11	0.5
2030	30	MLB 94%	MIN	384	337	76	14	2	9	37	69	7	6	1	.226	.315	.359	.674	.134	.255	18	10	.305	91	-4	+1	-1	-4	+11	0.3
2031	31	MLB	MIN	369	324	72	13	1	9	35	68	7	4	1	.222	.311	.352	.663	.130	.253	18	9	.301	88	-5	+0	-2	-4	+10	0.1
2032	32	MLB	MIN	350	308	67	12	1	8	33	66	6	2	0	.218	.305	.341	.646	.123	.252	19	9	.296	85	-6	+0	-2	-4	+10	-0.2
2033	33	MLB	MIN	320	281	60	11	1	7	30	63	6	1	0	.214	.303	.335	.637	.121	.250	20	9	.291	81	-7	+0	-3	-3	+9	-0.4
2034	34	MLB	MIN	276	243	50	9	1	5	26	56	5	0	0	.206	.296	.313	.608	.107	.248	20	9	.284	76	-8	+0	-4	-3	+8	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			4365	3837	898	167	19	94	391	775	102	85	16	.234	.321	.361	.682	.127	.268	18	9	.306	93	-36	+11	-8	-47	+124	4.4
/ 162G	—			650	571	134	25	3	14	58	115	15	13	2	.235	.321	.363	.683	.128	.269	18	9	.306	93	-5	+2	-1	-7	+18	0.7

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
2022	22	A	Dunedin Blue Jays	115	90	21	4	0	1	17	13	5	5	1	.233	.384	.311	.695	.078	.253	11	15	.324	106	+1	+1	—	—	+3	0.5
2023	23	AA	New Hampshire Fisher Cats	209	174	54	6	1	6	26	32	8	9	2	.310	.423	.460	.883	.149	.350	15	12	.397	162	+15	+1	—	—	+6	2.2
2023	23	A+	Vancouver Canadians	323	268	86	23	1	4	42	32	13	15	2	.321	.437	.459	.895	.138	.353	10	13	.405	168	+25	+2	—	—	+9	3.7
2024	24	AAA	Buffalo Bisons	286	245	77	15	3	9	35	41	4	8	0	.314	.408	.510	.919	.196	.345	14	12	.404	167	+22	+2	—	—	+8	3.2
2024	24	AA	New Hampshire Fisher Cats	244	206	55	11	1	7	29	34	7	6	1	.267	.376	.432	.808	.165	.287	14	12	.362	135	+10	+1	—	—	+7	1.8
2025	25	MLB	Minnesota Twins	153	136	26	6	1	2	8	37	6	1	1	.191	.267	.294	.561	.103	.240	24	5	.254	53	-8	-0	+2	-3	+4	-0.5
2025	25	AAA	Buffalo Bisons	142	121	40	9	1	3	16	13	4	4	1	.331	.426	.496	.921	.165	.349	9	11	.408	170	+11	+0	—	—	+4	1.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			153	136	26	6	1	2	8	37	6	1	1	.191	.267	.294	.561	.103	.240	24	5	.254	53	-8	-0	+2	-3	+4	-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
Alan Roden (OGILVIE)	26	46	38→41	51	45	.216/.292/.338	.123	.249	3	3	19%	7%	78	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeff Duncan 2005 · MLB	26	43→46	41→45	53→60	50	.211/.291/.309	.098	.272	9	17	25%	9%	69	-0.4	.230/.296/.332	.102	.300	10	19	25%	8%	76	+0.1	.230/.297/.313	.083	.301	8	21	25%	7%	70	-0.2
✕Carlos Alvarez 2014 · AAA	26	46	45	46→45	47	.226/.287/.350	.124	.279	12	7	23%	8%	77	+0.1	.234/.306/.341	.107	.284	9	8	19%	9%	83	+0.6	.249/.327/.336	.087	.300	6	6	18%	9%	89	+0.4
●TJ Friedl 2022 · MLB	26	46→53	45→50	51→55	47	.226/.295/.355	.129	.265	13	15	20%	7%	82	+0.5	.240/.312/.394	.154	.274	16	19	18%	8%	100	+1.7	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
✕Nate Spears 2011 · AAA	26	48→55	44→45	49→50	51	.234/.301/.354	.120	.270	11	9	18%	8%	85	+0.7	.214/.286/.334	.120	.264	12	11	22%	8%	73	-0.1	.206/.271/.309	.103	.274	9	8	27%	8%	57	-0.5
✕Jeff Fiorentino 2009 · MLB	26	49→54	44→50	48→50	48	.241/.299/.353	.112	.290	12	10	21%	7%	83	+0.6	.243/.302/.367	.124	.295	11	13	20%	8%	88	+0.9	.242/.306/.376	.134	.286	12	13	19%	8%	90	+0.8
✕Luis González 2022 · AAA	26	43→50	44→45	50	46	.214/.276/.327	.113	.266	13	17	25%	7%	67	-0.5	.235/.308/.353	.118	.305	11	18	25%	9%	87	+0.8	.237/.315/.348	.110	.302	10	20	23%	9%	85	+0.3
✕Jeff Salazar 2008 · MLB	27	47→51	44→50	53→55	51	.231/.300/.361	.130	.275	10	16	20%	9%	85	+0.7	.230/.296/.357	.127	.274	12	17	20%	8%	83	+0.6	.216/.278/.329	.113	.256	13	21	21%	7%	66	-0.4
✕Erik Komatsu 2014 · MLB	26	49→59	40→45	45→50	51	.235/.298/.326	.091	.271	8	12	17%	8%	76	+0.0	.197/.260/.299	.102	.260	11	11	27%	8%	53	-1.5	.161/.230/.253	.092	.212	10	11	28%	8%	27	-1.7
✕Reese McGuire 2021 · MLB	26	43→52	45	49→45	44	.218/.269/.337	.120	.261	13	7	22%	6%	67	-0.5	.238/.286/.341	.103	.297	8	5	21%	6%	74	-0.1	.252/.299/.340	.088	.322	4	3	22%	5%	78	+0.1
✕Logan Schafer 2013 · MLB	26	50→57	42→45	51→50	45	.240/.290/.355	.114	.277	8	15	17%	5%	79	+0.3	.219/.275/.328	.109	.263	7	12	19%	6%	66	-0.6	.211/.272/.297	.086	.259	5	7	19%	7%	52	-0.9
✕Alexi Amarista 2015 · MLB	26	49→59	41→45	52→55	48	.233/.278/.329	.096	.262	8	12	15%	6%	67	-0.5	.225/.274/.308	.083	.264	7	13	17%	6%	60	-1.0	.233/.270/.292	.060	.283	5	14	19%	5%	49	-0.6
✕Conner Capel 2023 · MLB	26	44→45	47→45	50→55	48	.223/.289/.361	.138	.267	15	16	23%	8%	82	+0.5	.213/.284/.337	.124	.272	13	20	25%	8%	73	-0.1	.201/.273/.315	.114	.258	13	23	26%	8%	60	-0.7
✕Nick Maton 2023 · MLB	26	44→41	47→50	48→45	47	.217/.294/.358	.141	.288	13	7	28%	9%	83	+0.6	.217/.305/.366	.149	.274	17	5	26%	10%	90	+1.0	.205/.305/.354	.149	.253	18	3	26%	11%	84	+0.3
✕Steele Walker 2022 · AAA	26	42→46	45	47→50	43	.214/.266/.338	.124	.259	13	10	23%	6%	66	-0.6	.210/.265/.331	.121	.256	14	10	23%	6%	63	-0.8	.198/.257/.310	.112	.238	13	9	23%	6%	51	-0.6
✕Kyle Isbel 2023 · MLB	26	45→51	47→50	53→55	44	.225/.286/.364	.139	.284	14	19	26%	6%	81	+0.4	.228/.281/.358	.130	.277	12	14	21%	6%	77	+0.1	.230/.281/.348	.118	.274	10	11	19%	6%	71	-0.2
●Cedric Hunter 2014 · AAA	26	48→57	46→55	45→50	48	.234/.284/.367	.133	.256	12	9	15%	6%	80	+0.4	.246/.291/.397	.151	.273	16	10	16%	5%	92	+1.2	.246/.287/.385	.139	.273	16	10	17%	5%	83	+0.4
✕Garin Cecchini 2017 · MLB	26	44→54	39→45	50→55	42	.214/.262/.296	.082	.270	7	12	23%	5%	52	-1.6	.219/.253/.316	.097	.275	8	10	23%	4%	53	-1.5	.221/.243/.322	.101	.282	6	5	24%	2%	48	-1.0
✕Jason Romano 2005 · MLB	26	43	43→45	54→50	45	.214/.270/.321	.107	.271	11	17	25%	7%	63	-0.9	.232/.281/.350	.118	.283	11	10	21%	6%	75	-0.0	.255/.296/.373	.118	.310	9	9	20%	5%	84	+0.3
✕Mitch Maier 2008 · MLB	26	47→55	45→50	47→50	41	.236/.272/.366	.131	.278	12	9	20%	4%	75	-0.0	.247/.300/.355	.108	.292	9	10	18%	7%	84	+0.6	.256/.321/.357	.101	.302	7	10	17%	8%	90	+0.8
✕Charles Thomas 2006 · MLB	27	46→50	44→45	52→50	49	.225/.302/.344	.119	.269	11	15	20%	8%	82	+0.5	.223/.283/.314	.091	.283	9	13	23%	7%	66	-0.6	.221/.276/.292	.070	.286	8	11	24%	6%	53	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)