Ben Rortvedt

C Oklahoma City Comets

Age 29 L/R 5'10" / 210 lbs AAA HR +8%BB -8% Svc 3.948 · Ctrl thru 2029

Overview

AAAArb-1FA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	26	MLBTB	328	.228/.317/.303	3	1	81	1.4
2025	27	AAALAD	137	.205/.306/.333	3	0	49	—	.180/.254/.270
2025	27	MLBLAD	128	.152/.240/.205	1	0	31	-0.1
2026	28	AAALAD	189	.240/.317/.395	6	3	55	—	.198/.258/.302
2026	28	MLBLAD	28	.185/.185/.185	0	0	-3	0.1
2027PROJ10% MLB	29	MLBLAD	19	.197/.269/.302	0	0	64	-0.0
2028PROJ27% MLB	30	MLBLAD	58	.194/.265/.294	1	0	61	-0.1

Last 3 seasons WAR 1.5 · Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.948First FA2030

2027Arb-1$0.2M2028Arb-2$0.4M2029Ext$0.6M

Skills · percentileStatcast 2024-2026

Bat Spd26

Speed20

Barrel%11

xwOBA10

Avg EV10

CompsAnthony Bemboom (age 29) · Jackson Williams (age 29) · Chadwick Tromp (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 5364vR 68

AVG/OBP/SLG.197 / .269 / .302

PA19

HR0

K%26

BB%5

BABIP249

ISO56

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · Splits · ContractCON 35 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT35

xAVG

100.199

POWER40

Barrel%

113.2

Avg EV

1084.8

Bat Spd

2668.8

EYE50

scouting grade only

SPEED40

Sprint

2026.0

Platoon Splits2024-2025 · 456 PA

vs LHP

vs RHP

Edge

391

—

wRC+

▶R

wOBA

256

267

▶R

ISO

017

078

▶▶R

BABIP

317

273

◀L

24.6%

24.3%

—

BB%

9.2%

10.0%

▶R

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

Status Arb-1

MLB Debut 2021

Service 3.948 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$0.2M	+0.0	$0.0M	+$0.0M (cut)
2028	Arb-2	$0.4M	—	—	—
2029	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2016	18	ROK	Elizabethton Twins	—	113	99	22	3	0	0	10	10	2	0	0	222	306	253	559	30	247	9	9	261	28	—	—	—	—	—	—
2017	19	A	Cedar Rapids Kernels	—	336	308	69	16	0	4	22	60	4	1	0	224	284	315	599	91	265	18	7	272	37	—	—	—	—	—	—
2018	20	A+	Fort Myers Miracle	—	196	172	43	7	1	4	21	29	2	0	0	250	338	372	711	122	279	15	11	322	78	—	—	—	—	—	—
2018	20	A	Cedar Rapids Kernels	—	157	145	40	9	2	1	10	35	1	1	0	276	327	386	713	110	355	22	6	318	59	—	—	—	—	—	—
2019	21	AA	Pensacola Blue Wahoos	—	226	197	47	8	0	5	23	51	5	0	0	239	333	355	689	117	296	23	10	315	63	—	—	—	—	—	—
2019	21	A+	Fort Myers Miracle	—	94	80	19	8	1	2	12	16	1	0	0	237	344	438	782	200	270	17	13	345	82	—	—	—	—	—	—
2021	23	MLB	Minnesota Twins	—	98	89	15	1	0	3	6	29	1	0	0	169	229	281	510	112	211	30	6	229	41	-7	+0	+7	+4	+2	0.6
2021	23	AAA	St. Paul Saints	—	136	122	31	6	0	5	10	35	3	0	0	254	326	426	752	172	313	26	7	334	65	—	—	—	—	—	—
2022	24	AAA	Scranton/Wilkes-Barre RailRiders	—	177	154	34	9	0	6	18	57	2	0	0	221	310	396	706	175	301	32	10	312	50	—	—	—	—	—	—
2022	24	A+	Hudson Valley Renegades	—	15	12	1	0	0	0	3	6	0	0	0	83	267	83	350		167	40	20	200	-29	—	—	—	—	—	—
2022	24	INTL	Leones del Escogido	—	41	35	4	1	0	0	6	12	0	1	1	114	244	143	387	29	174	29	15	200	21	—	—	—	—	—	—
2023	25	MLB	New York Yankees	—	79	68	8	1	0	2	11	19	0	0	0	118	241	221	461	103	128	24	14	223	35	-6	+0	+4	+4	+2	0.3
2023	25	AAA	Scranton/Wilkes-Barre RailRiders	—	124	105	30	5	0	6	16	31	3	2	0	286	395	505	900	219	353	25	13	399	103	—	—	—	—	—	—
2024	26	MLB	Tampa Bay Rays	—	328	290	66	13	0	3	34	88	4	1	0	228	317	303	621	76	317	27	10	289	81	-7	+0	+8	+6	+7	1.4
2025	27	MLB	Los Angeles Dodgers	—	128	112	17	3	0	1	11	23	2	0	0	152	240	205	445	54	182	18	9	210	31	-10	+0	+2	+5	+3	-0.1
2025	27	AAA	Oklahoma City Comets	—	137	117	24	6	0	3	14	43	3	0	1	205	306	333	639	128	284	31	10	288	49	—	—	—	—	—	—
2026	28	MLB	Los Angeles Dodgers	—	28	27	5	0	0	0	0	9	0	0	0	185	185	185	370		278	32	0	162	-3	-3	+0	+0	+4	+1	0.1
2026	28	AAA	Oklahoma City Comets	—	189	167	40	8	0	6	16	45	3	3	1	240	317	395	712	156	288	24	8	316	55	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	661	586	111	18	0	9	62	168	7	1	0	189	275	266	541	77	249	25	9	252	56	-34	+0	+21	+22	+14	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	18	ROK MLE	Elizabethton Twins	—	113	103	19	2	0	0	6	14	2	0	0	184	243	204	447	19	216	12	5	210	28	—	—	—	—	—	—
2017	19	A MLE	Cedar Rapids Kernels	—	336	313	60	12	0	3	17	84	4	1	0	192	243	259	501	67	247	25	5	223	37	—	—	—	—	—	—
2018	20	A+ MLE	Fort Myers Miracle	—	196	178	41	7	1	3	15	41	2	0	0	230	297	331	629	101	278	21	8	283	78	—	—	—	—	—	—
2018	20	A MLE	Cedar Rapids Kernels	—	157	148	35	7	2	1	7	49	1	1	0	236	276	331	607	95	333	31	4	256	59	—	—	—	—	—	—
2019	21	AA MLE	Pensacola Blue Wahoos	—	226	206	43	6	0	4	14	61	5	0	0	209	276	296	572	87	272	27	6	261	63	—	—	—	—	—	—
2019	21	A+ MLE	Fort Myers Miracle	—	94	83	17	8	1	1	9	24	1	0	0	205	290	361	652	157	268	26	10	289	82	—	—	—	—	—	—
2021	23	MLB MLE	Minnesota Twins	—	98	89	15	1	0	3	6	29	1	0	0	169	229	281	510	112	211	30	6	228	41	-7	+0	+7	+4	+2	0.6
2021	23	AAA MLE	St. Paul Saints	—	136	125	26	5	0	3	7	43	3	0	0	208	267	320	587	112	289	32	5	265	65	—	—	—	—	—	—
2022	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	177	160	29	8	0	4	12	68	2	0	0	181	247	306	553	125	263	38	7	242	50	—	—	—	—	—	—
2022	24	A+ MLE	Hudson Valley Renegades	—	15	13	1	0	0	0	2	8	0	0	0	77	200	77	277		131	53	13	125	-29	—	—	—	—	—	—
2023	25	MLB MLE	New York Yankees	—	79	68	8	1	0	2	11	19	0	0	0	118	241	221	461	103	128	24	14	220	35	-6	+0	+4	+4	+2	0.3
2023	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	124	110	27	5	0	4	11	37	3	2	0	245	331	400	731	155	333	30	9	321	103	—	—	—	—	—	—
2024	26	MLB MLE	Tampa Bay Rays	—	328	290	65	13	0	3	34	88	4	1	0	224	314	300	614	76	317	27	10	288	81	-7	+0	+8	+6	+7	1.4
2025	27	MLB MLE	Los Angeles Dodgers	—	128	112	17	3	0	1	11	23	2	0	0	152	240	205	445	54	182	18	9	214	31	-10	+0	+2	+5	+3	-0.1
2025	27	AAA MLE	Oklahoma City Comets	—	137	122	22	5	0	2	9	51	3	0	1	180	254	270	524	90	270	37	7	241	49	—	—	—	—	—	—
2026	28	MLB MLE	Los Angeles Dodgers	—	28	27	5	0	0	0	0	9	0	0	0	185	185	185	370		278	32	0	163	-3	-3	+0	+0	+4	+1	0.1
2026	28	AAA MLE	Oklahoma City Comets	—	189	172	34	6	0	4	11	54	3	3	1	198	258	302	560	105	253	29	6	249	55	—	—	—	—	—	—
2016	18	ROK MLE	Elizabethton Twins	—	113	103	19	2	0	0	6	14	2	0	0	184	243	204	447	19	213	12	5	210	28	—	—	—	—	—	—
2016	18	ROK RAW	Elizabethton Twins	—	113	99	22	3	0	0	10	10	2	0	0	222	306	253	559	30	247	9	9	261	28	—	—	—	—	—	—
2017	19	A MLE	Cedar Rapids Kernels	—	336	313	60	12	0	3	17	84	4	1	0	192	243	259	501	67	251	25	5	223	37	—	—	—	—	—	—
2017	19	A RAW	Cedar Rapids Kernels	—	336	308	69	16	0	4	22	60	4	1	0	224	284	315	599	91	265	18	7	272	37	—	—	—	—	—	—
2018	20	A+ MLE	2 teams	—	353	327	76	14	3	4	21	89	3	1	0	232	285	330	615	98	305	25	6	271	70	—	—	—	—	—	—
2018	20	A+ RAW	2 teams	—	353	317	83	16	3	5	31	64	3	1	0	262	333	379	712	117	312	18	9	320	70	—	—	—	—	—	—
2019	21	AA MLE	2 teams	—	320	289	60	14	1	5	23	85	6	0	0	208	280	315	595	107	274	27	7	269	68	—	—	—	—	—	—
2019	21	AA RAW	2 teams	—	320	277	66	16	1	7	35	67	6	0	0	238	336	379	716	141	288	21	11	324	68	—	—	—	—	—	—
2021	23	AAA MLE	2 teams	—	234	214	41	6	0	6	13	72	4	0	0	192	251	304	555	112	255	31	6	250	55	—	—	—	—	—	—
2021	23	AAA RAW	2 teams	—	234	211	46	7	0	8	16	64	4	0	0	218	286	365	651	147	271	27	7	290	55	—	—	—	—	—	—
2022	24	AAA MLE	3 teams	—	233	211	35	9	0	5	17	92	2	1	1	166	235	280	514	114	259	39	7	233	44	—	—	—	—	—	—
2022	24	AAA RAW	3 teams	—	233	201	39	10	0	6	27	75	2	1	1	194	296	333	629	139	270	32	12	285	44	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	203	178	35	6	0	6	22	56	3	2	0	197	296	331	627	135	250	28	11	282	77	—	—	—	—	—	—
2023	25	AAA RAW	2 teams	—	203	173	38	6	0	8	27	50	3	2	0	220	335	393	728	173	261	25	13	331	77	—	—	—	—	—	—
2024	26	MLB MLE	Tampa Bay Rays	—	328	290	65	13	0	3	34	88	4	1	0	224	314	300	614	76	312	27	10	288	81	-7	+0	+8	+6	+7	1.4
2024	26	MLB RAW	Tampa Bay Rays	—	328	290	66	13	0	3	34	88	4	1	0	228	317	303	621	76	317	27	10	289	81	-7	+0	+8	+6	+7	1.4
2025	27	AAA MLE	2 teams	—	265	234	39	8	0	3	20	74	5	0	1	167	247	239	486	73	225	28	8	228	41	—	—	—	—	—	—
2025	27	AAA RAW	2 teams	—	265	229	41	9	0	4	25	66	5	0	1	179	274	271	545	92	228	25	9	250	41	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	217	199	39	6	0	4	11	63	3	3	1	196	249	286	535	90	261	29	5	238	47	—	—	—	—	—	—
2026	28	AAA RAW	2 teams	—	217	194	45	8	0	6	16	54	3	3	1	232	300	366	666	134	287	25	7	296	47	—	—	—	—	—	—
2016	18	ROK MLE	Elizabethton Twins	—	113	104	19	2	0	0	6	14	2	0	0	183	243	202	445	19	216	12	5	210	28	—	—	—	—	—	—
2017	19	A MLE	Cedar Rapids Kernels	—	336	312	60	12	0	3	17	84	4	1	0	192	243	260	502	67	247	25	5	223	37	—	—	—	—	—	—
2018	20	A+ MLE	2 teams	—	353	326	76	14	3	4	21	89	3	1	0	233	285	331	616	98	302	25	6	271	70	—	—	—	—	—	—
2019	21	AA MLE	2 teams	—	320	288	60	14	1	5	23	85	6	0	0	208	280	316	596	108	271	27	7	269	68	—	—	—	—	—	—
2021	23	AAA MLE	2 teams	—	234	215	41	6	0	6	13	72	4	0	0	191	251	302	553	112	256	31	6	250	55	—	—	—	—	—	—
2022	24	AAA MLE	3 teams	—	233	212	35	9	0	5	17	92	2	1	1	165	235	278	513	113	253	39	7	233	44	—	—	—	—	—	—
2023	25	AAA MLE	2 teams	—	203	176	35	6	0	6	22	56	3	2	0	199	296	335	631	136	253	28	11	282	77	—	—	—	—	—	—
2024	26	MLB MLE	Tampa Bay Rays	—	328	287	65	13	0	3	34	88	4	1	0	226	314	303	617	77	317	27	10	288	81	—	—	—	—	—	—
2025	27	AAA MLE	2 teams	—	265	238	39	8	0	3	20	74	5	0	1	164	247	235	482	71	227	28	8	228	41	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	217	201	39	6	0	4	11	63	3	3	1	194	249	284	532	90	256	29	5	238	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	MLB MLE	Tampa Bay Rays	—	328	287	65	13	0	3	34	88	4	1	0	226	314	303	617	77	317	27	10	288	81	—	—	—	—	—	—
2025	27	AAA MLE	2 teams	—	265	238	39	8	0	3	20	74	5	0	1	164	247	235	482	71	227	28	8	228	41	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	217	201	39	6	0	4	11	63	3	3	1	194	249	284	532	90	256	29	5	238	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	LAD	10%	294	266	53	10	1	5	22	75	4	2	1	200	271	306	577	106	255	26	7	263	64	-13	+0	+0	+5	+6	0.1
▸ 2027 — real world (MLB)
2027	29	MLB CTX	LAD	10%	19	18	3	1	0	0	1	5	0	0	0	197	269	302	571	106	249	26	5	260	64	-1	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	LAD	27%	214	193	37	7	0	4	16	56	3	1	0	197	268	297	565	101	252	26	7	258	61	-10	+0	-2	+4	+5	-0.3
2028	30	MLB CTX	LAD	27%	58	53	10	2	0	1	4	15	1	0	0	194	265	294	559	101	247	26	7	255	61	-3	+0	-0	+1	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	719	639	121	20	0	10	66	183	8	1	0	189	273	268	541	78	249	25	9	252	58	-37	+0	+21	+23	+16	2.3
/ 162G	—	A+C		—	650	578	109	18	0	9	60	165	7	1	0	189	273	266	539	78	248	25	9	252	58	-33	+0	+19	+21	+14	2.1
Career	—	MLE		—	3002	2718	539	104	4	46	214	821	42	12	4	198	267	290	558	92	264	27	7	253	58	-52	+0	+20	+29	+23	2.1
/ 162G	—	MLE		—	650	589	117	23	1	10	46	178	9	3	1	199	267	292	559	93	265	27	7	253	58	-32	+0	+12	+18	+14	1.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAOklahoma City Comets · 189 PAwOBA .311 → .249 (−61)K% 23.8% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.000	×1.200	—	—	28.57%
BB% (unintentional) /PA	8.47%	÷1.000	×0.690	—	×0.982	5.74%
HBP% /PA	1.59%	—	×0.940	—	×0.982	1.47%
Singles /BIP	21.31%	÷1.000	×0.930	×1.002	×0.982	19.50%
Doubles /BIP	6.56%	÷1.000	×0.830	×1.002	×0.982	5.35%
Triples /BIP	0.00%	÷1.000	×0.970	×1.002	×0.982	0.00%
Home runs /BIP	4.92%	÷1.000	×0.700	—	×0.982	3.38%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .311 → .249; ISO .156 → .113; BABIP .288 → .253. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAAOklahoma City Comets · 137 PAwOBA .287 → .241 (−46)K% 31.4% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.39%	÷1.015	×1.200	—	—	37.10%
BB% (unintentional) /PA	10.22%	÷1.083	×0.690	—	×0.992	6.46%
HBP% /PA	2.19%	—	×0.940	—	×0.992	2.04%
Singles /BIP	20.27%	÷0.951	×0.930	×1.028	×0.992	20.21%
Doubles /BIP	8.11%	÷0.969	×0.830	×1.028	×0.992	7.09%
Triples /BIP	0.00%	÷1.150	×0.970	×1.028	×0.992	0.00%
Home runs /BIP	4.05%	÷0.956	×0.700	—	×0.992	2.94%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 90, 2B 94, 3B 130, K 103, BB 117 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .287 → .241; ISO .128 → .101; BABIP .284 → .270. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAAScranton/Wilkes-Barre RailRiders · 124 PAwOBA .389 → .321 (−68)K% 25.0% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.998	×1.200	—	—	30.07%
BB% (unintentional) /PA	12.90%	÷1.059	×0.690	—	×1.018	8.56%
HBP% /PA	2.42%	—	×0.940	—	×1.018	2.32%
Singles /BIP	25.68%	÷1.029	×0.930	×1.050	×1.018	24.79%
Doubles /BIP	6.76%	÷0.903	×0.830	×1.050	×1.018	6.64%
Triples /BIP	0.00%	÷1.048	×0.970	×1.050	×1.018	0.00%
Home runs /BIP	8.11%	÷1.017	×0.700	—	×1.018	5.68%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 106, 2B 81, 3B 110, K 100, BB 112 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .389 → .321; ISO .219 → .165; BABIP .353 → .333. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAAScranton/Wilkes-Barre RailRiders · 177 PAwOBA .308 → .242 (−66)K% 32.2% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.20%	÷1.001	×1.200	—	—	38.60%
BB% (unintentional) /PA	10.17%	÷1.066	×0.690	—	×1.033	6.80%
HBP% /PA	1.13%	—	×0.940	—	×1.033	1.10%
Singles /BIP	19.59%	÷1.047	×0.930	×0.986	×1.033	17.71%
Doubles /BIP	9.28%	÷0.988	×0.830	×0.986	×1.033	7.93%
Triples /BIP	0.00%	÷1.000	×0.970	×0.986	×1.033	0.00%
Home runs /BIP	6.19%	÷1.006	×0.700	—	×1.033	4.45%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 109, 2B 98, 3B 100, K 100, BB 113 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .308 → .242; ISO .175 → .131; BABIP .301 → .263. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 A+Hudson Valley Renegades · 15 PAwOBA .197 → .125 (−72)K% 40.0% → 51.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	40.00%	÷1.015	×1.310	—	—	51.60%
BB% (unintentional) /PA	20.00%	÷0.976	×0.600	—	×0.978	12.03%
HBP% /PA	0.00%	—	×0.770	—	×0.978	0.00%
Singles /BIP	16.67%	÷1.084	×0.870	—	×0.978	13.08%
Doubles /BIP	0.00%	÷0.895	×0.780	—	×0.978	0.00%
Triples /BIP	0.00%	÷1.028	×0.850	—	×0.978	0.00%
Home runs /BIP	0.00%	÷1.014	×0.880	—	×0.978	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 103, 1B 117, 2B 79, 3B 106, K 103, BB 95 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .197 → .125; ISO .000 → .000; BABIP .167 → .131. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAASt. Paul Saints · 136 PAwOBA .327 → .265 (−62)K% 25.7% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.74%	÷0.983	×1.200	—	—	31.42%
BB% (unintentional) /PA	7.35%	÷1.024	×0.690	—	×1.048	5.19%
HBP% /PA	2.21%	—	×0.940	—	×1.048	2.17%
Singles /BIP	22.99%	÷1.035	×0.930	×1.018	×1.048	22.05%
Doubles /BIP	6.90%	÷0.996	×0.830	×1.018	×1.048	6.13%
Triples /BIP	0.00%	÷0.900	×0.920	×1.018	×1.048	0.00%
Home runs /BIP	5.75%	÷1.121	×0.700	—	×1.048	3.76%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 107, 2B 99, 3B 80, K 97, BB 105 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .327 → .265; ISO .172 → .119; BABIP .313 → .289. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAPensacola Blue Wahoos · 226 PAwOBA .303 → .261 (−42)K% 22.6% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.57%	÷1.027	×1.220	—	—	26.80%
BB% (unintentional) /PA	8.85%	÷1.028	×0.680	—	×1.042	6.10%
HBP% /PA	2.21%	—	×0.840	—	×1.042	1.94%
Singles /BIP	23.29%	÷0.970	×0.920	×0.969	×1.042	22.31%
Doubles /BIP	5.48%	÷1.160	×0.910	×0.969	×1.042	4.34%
Triples /BIP	0.00%	÷0.900	×0.880	×0.969	×1.042	0.00%
Home runs /BIP	3.42%	÷1.000	×0.800	—	×1.042	2.85%

Factors used: league row SL. Park (home-season share, regressed): HR 100, 1B 94, 2B 132, 3B 80, K 105, BB 106 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .303 → .261; ISO .117 → .096; BABIP .296 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 A+Fort Myers Miracle · 94 PAwOBA .340 → .289 (−50)K% 17.0% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.02%	÷0.939	×1.420	—	—	25.73%
BB% (unintentional) /PA	12.77%	÷1.019	×0.750	—	×1.012	9.50%
HBP% /PA	1.06%	—	×0.930	—	×1.012	1.00%
Singles /BIP	12.50%	÷0.975	×0.920	—	×1.012	11.94%
Doubles /BIP	12.50%	÷0.908	×0.960	—	×1.012	13.38%
Triples /BIP	1.56%	÷0.900	×0.810	—	×1.012	1.42%
Home runs /BIP	3.12%	÷1.362	×0.880	—	×1.012	2.04%

Factors used: league row FSL. Park (home-season share, regressed): HR 172, 1B 95, 2B 82, 3B 80, K 88, BB 104 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .340 → .289; ISO .200 → .168; BABIP .270 → .268. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#4Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
/162	664	3	1	+11.8	+0.0	0.1	pk7: 1
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.1	710	10	1	191	275	275	+13	+21	-0.2	-0.2
/162	664	10	1	+11.9	+19.8	-0.2	pk7: -0
#6Mike Ryan'64-'74 * career totals — 9 seasons, 2,098 PA	3.2	2,098	28	4	196*	257*	311*	+38	+0	-1.9	-0.9
/162	664	9	1	+11.9	+0.0	-0.6	pk7: 0

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
Ben Rortvedt (OGILVIE)	29	35	40	40	50	198/269/303	105	255	3	2	26%	8%	64	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Bemboom 2019 · AAA	29	41	41→40	45	47	203/273/299	97	263	8	5	26%	8%	63	-1.3	203/268/319	116	264	13	5	27%	8%	66	-1.1	193/262/294	101	249	10	2	26%	8%	56	-0.6
✕Jackson Williams 2015 · MLB	29	42	43→45	42→40	44	207/263/315	107	265	11	5	26%	7%	63	-1.4	196/251/264	68	250	5	4	22%	6%	47	-2.6	179/231/221	42	228	2	1	21%	5%	27	-1.7
✕Chadwick Tromp 2024 · MLB	29	38	47→45	43→40	45	200/258/329	129	244	16	3	26%	7%	65	-1.2	209/263/314	105	273	11	4	26%	7%	63	-1.4	197/249/284	86	260	8	2	27%	6%	49	-1.0
✕Brian Jeroloman 2015 · AAA	30	39	38→40	39→40	45	190/254/262	73	257	7	4	28%	8%	47	-2.5	202/279/275	73	266	5	5	24%	9%	60	-1.6	190/285/229	40	248	0	0	21%	11%	51	-0.6
✕Tuffy Gosewisch 2013 · AAA	29	41→43	43→45	38→40	42	203/254/311	108	244	10	4	22%	5%	59	-1.6	211/250/312	101	253	8	5	20%	4%	57	-1.8	215/260/321	105	249	11	2	18%	5%	62	-0.5
✕Tres Barrera 2023 · MLB	28	43→44	43→45	40	46	214/281/318	103	271	11	3	24%	7%	71	-0.8	201/265/305	104	256	12	5	25%	7%	62	-1.4	169/235/249	80	216	11	2	27%	7%	36	-1.4
✕Steven Lerud 2014 · AAA	29	42	40→45	45→40	44	202/280/290	88	295	8	5	32%	8%	65	-1.2	214/292/300	86	298	7	4	28%	8%	71	-0.8	207/288/271	64	293	5	1	28%	8%	60	-0.6
✕Dan Butler 2016 · MLB	29	42→39	40→45	45→40	44	204/266/298	94	263	7	3	24%	6%	61	-1.5	216/280/312	96	277	8	3	23%	7%	69	-0.9	206/274/297	91	259	8	0	22%	7%	61	-0.6
✕Francisco Arcia 2019 · MLB	29	43	42→40	46→40	40	216/267/317	102	265	11	6	23%	4%	65	-1.2	205/248/293	88	256	8	7	23%	4%	52	-2.2	164/197/199	35	206	2	0	21%	3%	9	-2.2
✕Clint Sammons 2012 · AAA	29	35→45	45→40	44→45	43	184/244/295	111	226	14	8	26%	6%	52	-2.2	201/249/335	134	275	17	8	32%	5%	63	-1.4	145/172/258	113	185	19	0	35%	2%	13	-1.2
✕Tyler LaTorre 2012 · AAA	29	44	40→30	42→40	45	214/277/310	96	286	7	5	27%	7%	67	-1.1	214/273/309	95	290	8	6	27%	7%	65	-1.2	234/289/302	68	314	5	3	25%	7%	67	-0.3
✕Nash Knight 2022 · AAA	29	37→47	43→40	43→40	45	186/269/291	106	267	11	6	33%	9%	61	-1.5	201/280/306	105	325	9	6	37%	9%	68	-1.0	186/272/276	90	316	7	0	39%	9%	55	-1.0
✕Tony Cruz 2016 · MLB	29	43→39	42→45	40	45	212/259/316	104	252	9	4	20%	6%	61	-1.5	217/270/331	114	282	12	4	26%	6%	70	-0.9	215/270/315	100	283	11	2	27%	6%	64	-0.6
✕Dom Nuñez 2023 · MLB	28	37→46	45→50	46→45	48	187/270/313	125	257	12	4	31%	10%	65	-1.2	173/262/278	105	259	10	6	34%	10%	55	-1.9	138/238/230	92	217	9	4	38%	11%	36	-1.3
✕Cody Roberts 2024 · AAA	28	41	43→45	43→40	40	206/263/314	108	284	11	4	30%	6%	63	-1.4	216/272/313	97	334	8	8	35%	7%	66	-1.1	217/275/296	79	364	5	7	39%	7%	60	-0.4
✕John Suomi 2010 · AAA	29	43	46→50	40	44	217/260/349	132	241	13	3	17%	5%	70	-0.9	228/264/336	108	273	11	6	20%	4%	68	-1.0	228/262/323	94	251	10	3	14%	4%	60	-0.4
✕Koyie Hill 2008 · MLB	29	44→42	42→45	44→40	46	215/269/324	109	261	9	5	21%	7%	68	-1.0	222/273/344	122	285	11	4	25%	6%	74	-0.6	217/267/331	114	284	10	2	26%	6%	67	-0.6
✕Michael Papierski 2024 · MLB	28	43→45	43→40	41→40	50	213/292/317	105	271	11	3	25%	9%	75	-0.5	217/295/325	108	281	10	6	25%	9%	78	-0.3	198/286/286	88	257	7	2	24%	10%	65	-0.7
✕Guillermo Quiroz 2012 · MLB	30	42	43→45	40→50	39	208/253/321	112	278	10	3	28%	5%	60	-1.6	216/267/338	122	281	12	4	27%	6%	70	-0.8	212/260/325	113	270	12	1	26%	5%	62	-0.6
✕Eli Whiteside 2009 · AAA	29	41	44→50	43→40	39	210/248/322	112	257	12	6	24%	4%	59	-1.7	213/259/341	128	275	14	6	27%	5%	68	-1.0	206/254/338	132	266	14	3	28%	5%	65	-0.4

Ben Rortvedt

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps