Ryan Vogelsong

PosP

B/TR/R

Born1977-07-22

Age (2027)50

No MLB projection yet. Career stats below are historical.

Overview

MLBSPLAST SEASON 2016

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2014	37	MLBSF	32	32	185	4.00	3.64	19.4%	7.2%	3.9
2015	38	MLBSF	33	22	135	4.67	4.38	18.1%	9.4%	1.6
2016	39	MIX3 levels	28	18	104	4.40	4.83	15.4%	9.2%	0.7	K 16.7% · BB 10.4% · FIP 4.79
2017	40	No MLB games played
2018	41	No MLB games played
2019	42	No MLB games played
2020	43	No MLB games played
2021	44	No MLB games played
2022	45	No MLB games played
2023	46	No MLB games played
2024	47	No MLB games played
2025	48	No MLB games played
2026	49	No MLB games played

Last 3 seasons WAR 6.2

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2014	37	MLBSF	66	.115/.156/.148	0	0	-19	-0.8
2015	38	MLBSF	45	.139/.162/.250	1	0	-9	-0.5
2016	39	MLBPIT	23	.053/.143/.053	0	0	-45	-0.4
2017	40	No MLB games played
2018	41	No MLB games played
2019	42	No MLB games played
2020	43	No MLB games played
2021	44	No MLB games played
2022	45	No MLB games played
2023	46	No MLB games played
2024	47	No MLB games played
2025	48	No MLB games played
2026	49	No MLB games played

Last 3 seasons WAR -1.7

Contract

No contract data on file.

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
2000	23	MLB MLE	San Francisco Giants	4	0	6	24	6	2	0	0%	1.5	25.0%	8.3%	16.7%	0.0%	0.00	2.04	+0.2
2000	23	MLB RAW	San Francisco Giants	4	0	6	24	6	2	0	0%	1.5	25.0%	8.3%	16.7%	0.0%	0.00	2.10	+0.2
2001	24	MLB MLE	Pittsburgh Pirates	15	2	35	164	24	19	6	13%	2.3	14.6%	11.6%	3.0%	3.7%	6.75	5.34	-0.3
2001	24	MLB RAW	Pittsburgh Pirates	15	2	35	164	24	19	6	13%	2.3	14.6%	11.6%	3.0%	3.7%	6.75	5.61	-0.4
2003	26	MLB MLE	Pittsburgh Pirates	6	5	22	108	15	6	1	83%	3.7	13.9%	5.6%	8.3%	0.9%	6.55	3.14	+0.6
2003	26	MLB RAW	Pittsburgh Pirates	6	5	22	108	15	6	1	83%	3.7	13.9%	5.6%	8.3%	0.9%	6.55	3.15	+0.6
2004	27	MLB MLE	Pittsburgh Pirates	31	26	133	610	92	60	22	84%	4.3	15.1%	9.8%	5.2%	3.6%	6.50	5.05	+0.5
2004	27	MLB RAW	Pittsburgh Pirates	31	26	133	610	92	60	22	84%	4.3	15.1%	9.8%	5.2%	3.6%	6.50	5.22	+0.3
2005	28	MLB MLE	Pittsburgh Pirates	44	0	81	369	52	39	5	0%	1.8	14.1%	10.6%	3.5%	1.4%	4.43	3.99	+0.5
2005	28	MLB RAW	Pittsburgh Pirates	44	0	81	369	52	39	5	0%	1.8	14.1%	10.6%	3.5%	1.4%	4.43	4.06	+0.5
2006	29	MLB MLE	Pittsburgh Pirates	20	0	38	178	27	14	2	0%	1.9	15.2%	7.9%	7.3%	1.1%	6.39	3.43	+0.5
2006	29	MLB RAW	Pittsburgh Pirates	20	0	38	178	27	14	2	0%	1.9	15.2%	7.9%	7.3%	1.1%	6.39	3.47	+0.5
2011	34	MLB MLE	San Francisco Giants	30	28	180	752	139	55	15	93%	6.0	18.5%	7.3%	11.2%	2.2%	2.71	3.65	+3.8
2011	34	MLB RAW	San Francisco Giants	30	28	180	752	139	55	15	93%	6.0	18.5%	7.3%	11.2%	2.0%	2.71	3.56	+4.0
2012	35	MLB MLE	San Francisco Giants	31	31	190	788	158	55	17	100%	6.1	20.1%	7.0%	13.1%	2.3%	3.37	3.57	+4.2
2012	35	MLB RAW	San Francisco Giants	31	31	190	788	158	55	17	100%	6.1	20.1%	7.0%	13.1%	2.2%	3.37	3.47	+4.5
2013	36	MLB MLE	San Francisco Giants	19	19	104	467	67	36	15	100%	5.5	14.3%	7.7%	6.6%	3.5%	5.73	4.77	+0.7
2013	36	MLB RAW	San Francisco Giants	19	19	104	467	67	36	15	100%	5.5	14.3%	7.7%	6.6%	3.2%	5.73	4.73	+0.8
2014	37	MLB MLE	San Francisco Giants	32	32	185	780	151	56	18	100%	5.8	19.4%	7.2%	12.2%	2.5%	4.00	3.74	+3.7
2014	37	MLB RAW	San Francisco Giants	32	32	185	780	151	56	18	100%	5.8	19.4%	7.2%	12.2%	2.3%	4.00	3.64	+3.9
2015	38	MLB MLE	San Francisco Giants	33	22	135	598	108	56	17	67%	4.1	18.1%	9.4%	8.7%	3.1%	4.67	4.45	+1.5
2015	38	MLB RAW	San Francisco Giants	33	22	135	598	108	56	17	67%	4.1	18.1%	9.4%	8.7%	2.8%	4.67	4.38	+1.6
2016	39	MIX MLE	3 levels	28	18	104	448	69	41	15	64%	3.7	16.7%	10.4%	6.3%	3.2%	4.40	4.79	+0.7
2016	39	MIX RAW	3 levels	28	18	104	448	69	41	15	64%	3.7	15.4%	9.2%	6.3%	3.3%	4.40	4.83	+0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			289	179	1190	5204	900	436	129	62%	4.1	17.3%	8.4%	8.9%	2.5%	4.48	4.10	+18.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		289	179	1190	5204	900	436	129	62%	4.1	17.3%	8.4%	8.9%	2.5%	4.48	4.06	+18.9
/ 200 IP	—	RAW		49	30	200	875	151	73	22	62%	4.1	17.3%	8.4%	8.9%	2.5%	4.48	4.06	+3.2
Career	—	MLE		293	183	1212	5286	914	445	139	62%	4.1	17.3%	8.4%	8.9%	2.6%	4.45	4.15	+18.4
/ 200 IP	—	MLE		48	30	200	872	151	73	23	62%	4.1	17.3%	8.4%	8.9%	2.6%	4.45	4.15	+3.1

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.

2016 AAAIndianapolis Indians · 11 IPFIP 6.52 → 7.33 (+0.81)K% 9.5% → 8.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	9.52%	—	×0.880	8.38%
BB% (unintentional) /BF	2.38%	—	×1.050	2.50%
HR / BF /BF	7.14%	÷0.933	×1.100	8.42%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 87).

Result: FIP 6.52 → 7.33, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 AAAltoona Curve · 11 IPFIP 4.26 → 4.73 (+0.47)K% 10.0% → 8.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	10.00%	—	×0.810	8.10%
BB% (unintentional) /BF	5.00%	—	×1.100	5.50%
HR / BF /BF	2.50%	÷1.016	×1.200	2.95%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 103).

Result: FIP 4.26 → 4.73, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).