Tyson Ross

P Detroit Tigers

Age 40 RHP 6'5" / 254 lbs MLB

Overview

MLBSPLAST SEASON 2019

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2017	30	MIX3 levels	18	16	79	6.92	5.27	15.4%	14.0%	0.1	K 14.1% · BB 15.0% · FIP 5.46
2018	31	MLBSTL	31	23	150	4.15	4.11	19.2%	9.1%	2.3
2019	32	MLBDET	7	7	35	6.11	5.79	15.4%	11.1%	-0.2
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 2.3

Contract

No contract data on file.

Skills · percentileStatcast 2019

FB Velo10

K%10

xwOBA vs10

ERA—

FIP—

K%—

BB%—

K-BB%—

Proj IP—

Statcast · Contract

Statcast Percentiles

FB Velo

p1089.6

Whiff%

p1016.9%

p1015.4%

xwOBA vs

p100.392

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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)
2010	23	MLB MLE	Oakland Athletics	26	2	39	169	32	20	4	8%	1.5	18.9%	11.8%	7.1%	2.6%	5.49	4.43	+0.1
2010	23	MLB RAW	Oakland Athletics	26	2	39	169	32	20	4	8%	1.5	18.9%	11.8%	7.1%	2.4%	5.49	4.32	+0.1
2011	24	MLB MLE	Oakland Athletics	9	6	36	145	24	12	1	67%	4.0	16.6%	8.3%	8.3%	0.8%	2.75	3.17	+1.0
2011	24	MLB RAW	Oakland Athletics	9	6	36	145	24	12	1	67%	4.0	16.6%	8.3%	8.3%	0.7%	2.75	3.13	+1.0
2012	25	MLB MLE	Oakland Athletics	18	13	73	342	46	34	7	72%	4.1	13.5%	9.9%	3.5%	2.2%	6.50	4.46	+0.8
2012	25	MLB RAW	Oakland Athletics	18	13	73	342	46	34	7	72%	4.1	13.5%	9.9%	3.5%	2.0%	6.50	4.48	+0.8
2013	26	MLB MLE	San Diego Padres	35	16	125	504	119	40	8	46%	3.6	23.6%	7.9%	15.7%	1.5%	3.17	2.96	+2.4
2013	26	MLB RAW	San Diego Padres	35	16	125	504	119	40	8	46%	3.6	23.6%	7.9%	15.7%	1.6%	3.17	2.99	+2.4
2014	27	MLB MLE	San Diego Padres	31	31	196	811	195	70	13	100%	6.3	24.0%	8.6%	15.4%	1.6%	2.81	3.02	+5.9
2014	27	MLB RAW	San Diego Padres	31	31	196	811	195	70	13	100%	6.3	24.0%	8.6%	15.4%	1.6%	2.81	3.04	+5.8
2015	28	MLB MLE	San Diego Padres	33	33	196	823	212	81	9	100%	5.9	25.8%	9.8%	15.9%	1.1%	3.26	2.76	+6.6
2015	28	MLB RAW	San Diego Padres	33	33	196	823	212	81	9	100%	5.9	25.8%	9.8%	15.9%	1.1%	3.26	2.77	+6.6
2016	29	MIX MLE	2 levels	2	2	6	34	6	3	0	100%	3.0	17.6%	8.8%	8.8%	0.0%	16.50	2.73	+0.2
2016	29	MIX RAW	2 levels	2	2	6	34	6	3	0	100%	3.0	17.6%	8.8%	8.8%	0.0%	16.50	2.60	+0.2
2017	30	MIX MLE	3 levels	18	16	79	371	57	52	10	89%	4.4	14.1%	15.0%	-0.9%	3.0%	6.92	5.46	-0.0
2017	30	MIX RAW	3 levels	18	16	79	371	57	52	10	89%	4.4	15.4%	14.0%	1.3%	2.7%	6.92	5.27	+0.1
2018	31	MLB MLE	St. Louis Cardinals	31	23	150	634	122	58	17	74%	4.8	19.2%	9.1%	10.1%	2.9%	4.15	4.22	+2.1
2018	31	MLB RAW	St. Louis Cardinals	31	23	150	634	122	58	17	74%	4.8	19.2%	9.1%	10.1%	2.7%	4.15	4.11	+2.3
2019	32	MLB MLE	Detroit Tigers	7	7	35	162	25	18	7	100%	5.0	15.4%	11.1%	4.3%	4.5%	6.11	5.68	-0.1
2019	32	MLB RAW	Detroit Tigers	7	7	35	162	25	18	7	100%	5.0	15.4%	11.1%	4.3%	4.3%	6.11	5.79	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			203	142	905	3855	816	371	73	70%	4.5	21.2%	9.6%	11.5%	1.9%	4.04	3.58	+20.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		203	142	905	3855	816	371	73	70%	4.5	21.2%	9.6%	11.5%	1.9%	4.04	3.57	+20.0
/ 200 IP	—	RAW		45	31	200	852	180	82	16	70%	4.5	21.2%	9.6%	11.5%	1.9%	4.04	3.57	+4.4
Career	—	MLE		210	149	936	3995	833	392	79	71%	4.5	20.9%	9.8%	11.1%	2.0%	4.13	3.67	+20.0
/ 200 IP	—	MLE		45	32	200	854	178	84	17	71%	4.5	20.9%	9.8%	11.1%	2.0%	4.13	3.67	+4.4

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.

2017 AAARound Rock Express · 19 IPFIP 5.58 → 5.77 (+0.18)K% 12.9% → 11.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.94%	—	×0.880	11.39%
BB% (unintentional) /BF	12.94%	—	×1.050	13.59%
HR / BF /BF	3.53%	÷1.117	×1.100	3.48%

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 123).

Result: FIP 5.58 → 5.77, 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).

2017 AAFrisco RoughRiders · 12 IPFIP 2.40 → 2.84 (+0.44)K% 20.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.83%	—	×0.810	16.88%
BB% (unintentional) /BF	8.33%	—	×1.100	9.17%
HR / BF /BF	0.00%	÷1.089	×1.200	0.00%

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 118).

Result: FIP 2.40 → 2.84, 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).