Russ Canzler

PosLF

B/TR/R

Born1986-04-11

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	27	AAAPIT	523	.252/.346/.376	12	1	71	—	.221/.284/.328
2014	28	AAAPHI	441	.276/.353/.474	13	3	88	—	.234/.290/.403
2015	29	AAAPHI	432	.274/.335/.416	10	2	64	—	.222/.265/.335

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 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.

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)
2005	19	ROK	AZL Cubs	—	188	157	47	11	3	1	24	41	1	1	5	299	396	427	822	127	387	22	13	359	70	—	—	—	—	—	—
2007	21	A	Peoria Chiefs	—	503	460	124	24	2	7	35	88	2	12	8	270	324	376	700	107	316	17	7	312	61	—	—	—	—	—	—
2008	22	A+	Daytona Cubs	—	361	326	89	22	2	12	27	70	1	7	4	273	331	463	794	190	310	19	7	343	80	—	—	—	—	—	—
2009	23	AA	Tennessee Smokies	—	267	233	60	15	0	6	31	41	1	2	5	258	347	399	746	142	289	15	12	335	78	—	—	—	—	—	—
2009	23	A+	Daytona Cubs	—	108	100	27	8	1	2	7	24	0	2	0	270	318	430	748	160	333	22	6	328	63	—	—	—	—	—	—
2010	24	AA	Tennessee Smokies	—	411	355	102	28	4	21	46	95	5	5	4	287	377	566	943	279	332	23	11	404	99	—	—	—	—	—	—
2011	25	AAA	Durham Bulls	—	550	474	149	40	4	18	67	129	4	5	2	314	403	530	932	215	396	23	12	407	124	—	—	—	—	—	—
2012	26	MLB	Cleveland Indians	—	97	93	25	3	0	3	4	22	0	0	0	269	299	398	697	129	324	23	4	310	91	-1	+0	-3	-7	+2	-0.9
2012	26	AAA	Columbus Clippers	—	539	487	129	36	3	22	46	128	2	2	4	265	331	487	817	222	314	24	9	356	70	—	—	—	—	—	—
2013	27	AAA	Indianapolis Indians	—	523	452	114	16	2	12	62	101	3	1	1	252	346	376	722	124	297	19	12	325	71	—	—	—	—	—	—
2014	28	AAA	Lehigh Valley IronPigs	—	441	388	107	32	3	13	46	97	0	3	1	276	353	474	827	198	330	22	10	359	88	—	—	—	—	—	—
2015	29	AAA	Lehigh Valley IronPigs	—	432	394	108	24	1	10	35	78	1	2	4	274	335	416	751	142	318	18	8	334	64	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	97	93	25	3	0	3	4	22	0	0	0	269	299	398	697	129	324	23	4	310	96	-0	+0	-3	-7	+2	-0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	ROK MLE	AZL Cubs	—	188	167	38	8	2	1	14	59	1	1	5	228	291	317	609	90	322	31	7	272	70	—	—	—	—	—	—
2007	21	A MLE	Peoria Chiefs	—	503	472	110	20	2	5	23	120	2	12	8	233	272	316	587	83	291	24	5	259	61	—	—	—	—	—	—
2008	22	A+ MLE	Daytona Cubs	—	361	333	78	20	2	10	20	99	1	7	4	234	280	396	676	162	287	27	6	287	80	—	—	—	—	—	—
2009	23	AA MLE	Tennessee Smokies	—	267	243	56	14	0	5	21	50	1	2	5	230	294	350	644	119	267	19	8	284	78	—	—	—	—	—	—
2009	23	A+ MLE	Daytona Cubs	—	108	102	23	7	1	2	5	34	0	2	0	225	262	373	634	147	304	31	5	262	63	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	411	371	85	22	3	16	30	121	5	5	4	229	296	434	730	205	285	29	7	315	99	—	—	—	—	—	—
2011	25	AAA MLE	Durham Bulls	—	550	491	138	34	4	16	51	147	4	5	2	281	353	464	818	183	361	27	9	352	124	—	—	—	—	—	—
2012	26	MLB MLE	Cleveland Indians	—	97	94	25	3	0	3	3	22	0	0	0	266	289	394	682	128	324	23	3	302	91	-1	+0	-3	-7	+2	-0.9
2012	26	AAA MLE	Columbus Clippers	—	539	501	104	28	2	15	32	157	2	2	4	208	258	361	619	154	267	29	6	272	70	—	—	—	—	—	—
2013	27	AAA MLE	Indianapolis Indians	—	523	476	105	14	2	11	39	133	3	1	1	221	284	328	612	107	275	25	7	273	71	—	—	—	—	—	—
2014	28	AAA MLE	Lehigh Valley IronPigs	—	441	402	94	26	3	12	32	111	0	3	1	234	290	403	693	169	278	25	7	298	88	—	—	—	—	—	—
2015	29	AAA MLE	Lehigh Valley IronPigs	—	432	406	90	14	1	10	23	92	1	2	4	222	265	335	600	113	261	21	5	263	64	—	—	—	—	—	—
2005	19	ROK MLE	AZL Cubs	—	188	167	38	8	2	1	14	59	1	1	5	228	291	317	609	90	333	31	7	272	70	—	—	—	—	—	—
2005	19	ROK RAW	AZL Cubs	—	188	157	47	11	3	1	24	41	1	1	5	299	396	427	822	127	387	22	13	359	70	—	—	—	—	—	—
2007	21	A MLE	Peoria Chiefs	—	503	472	110	20	2	5	23	120	2	12	8	233	272	316	587	83	298	24	5	259	61	—	—	—	—	—	—
2007	21	A RAW	Peoria Chiefs	—	503	460	124	24	2	7	35	88	2	12	8	270	324	376	700	107	316	17	7	312	61	—	—	—	—	—	—
2008	22	A+ MLE	Daytona Cubs	—	361	333	78	20	2	10	20	99	1	7	4	234	280	396	676	162	298	27	6	287	80	—	—	—	—	—	—
2008	22	A+ RAW	Daytona Cubs	—	361	326	89	22	2	12	27	70	1	7	4	273	331	463	794	190	310	19	7	343	80	—	—	—	—	—	—
2009	23	AA MLE	2 teams	—	375	345	79	21	1	7	26	84	1	4	5	229	285	357	641	128	281	22	7	278	74	—	—	—	—	—	—
2009	23	AA RAW	2 teams	—	375	333	87	23	1	8	38	65	1	4	5	261	339	408	747	147	302	17	10	333	74	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	411	371	85	22	3	16	30	121	5	5	4	229	296	434	730	205	289	29	7	315	99	—	—	—	—	—	—
2010	24	AA RAW	Tennessee Smokies	—	411	355	102	28	4	21	46	95	5	5	4	287	377	566	943	279	332	23	11	404	99	—	—	—	—	—	—
2011	25	AAA MLE	Durham Bulls	—	550	491	138	34	4	16	51	147	4	5	2	281	353	464	818	183	367	27	9	352	124	—	—	—	—	—	—
2011	25	AAA RAW	Durham Bulls	—	550	474	149	40	4	18	67	129	4	5	2	314	403	530	932	215	396	23	12	407	124	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	636	595	129	31	2	18	35	179	2	2	4	217	263	366	629	150	276	28	6	277	73	—	—	—	—	—	—
2012	26	AAA RAW	2 teams	—	636	580	154	39	3	25	50	150	2	2	4	266	326	472	798	207	315	24	8	349	73	—	—	—	—	—	—
2013	27	AAA MLE	Indianapolis Indians	—	523	476	105	14	2	11	39	133	3	1	1	221	284	328	612	107	279	25	7	273	71	—	—	—	—	—	—
2013	27	AAA RAW	Indianapolis Indians	—	523	452	114	16	2	12	62	101	3	1	1	252	346	376	722	124	297	19	12	325	71	—	—	—	—	—	—
2014	28	AAA MLE	Lehigh Valley IronPigs	—	441	402	94	26	3	12	32	111	0	3	1	234	290	403	693	169	287	25	7	298	88	—	—	—	—	—	—
2014	28	AAA RAW	Lehigh Valley IronPigs	—	441	388	107	32	3	13	46	97	0	3	1	276	353	474	827	198	330	22	10	359	88	—	—	—	—	—	—
2015	29	AAA MLE	Lehigh Valley IronPigs	—	432	406	90	14	1	10	23	92	1	2	4	222	265	335	600	113	261	21	5	263	64	—	—	—	—	—	—
2015	29	AAA RAW	Lehigh Valley IronPigs	—	432	394	108	24	1	10	35	78	1	2	4	274	335	416	751	142	318	18	8	334	64	—	—	—	—	—	—
2005	19	ROK MLE	AZL Cubs	—	188	171	38	8	2	1	14	59	1	1	5	222	291	310	601	88	322	31	7	272	70	—	—	—	—	—	—
2007	21	A MLE	Peoria Chiefs	—	503	473	110	20	2	5	23	120	2	12	8	233	272	315	587	82	291	24	5	259	61	—	—	—	—	—	—
2008	22	A+ MLE	Daytona Cubs	—	361	337	78	20	2	10	20	99	1	7	4	231	280	392	671	160	287	27	6	287	80	—	—	—	—	—	—
2009	23	AA MLE	2 teams	—	375	345	79	21	1	7	26	84	1	4	5	229	285	357	641	128	278	22	7	278	74	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	411	373	85	22	3	16	30	121	5	5	4	228	296	432	727	204	285	29	7	315	99	—	—	—	—	—	—
2011	25	AAA MLE	Durham Bulls	—	550	490	138	34	4	16	51	147	4	5	2	282	353	465	819	184	361	27	9	352	124	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	636	594	129	31	2	18	35	179	2	2	4	217	263	367	630	150	276	28	6	277	73	—	—	—	—	—	—
2013	27	AAA MLE	Indianapolis Indians	—	523	476	105	14	2	11	39	133	3	1	1	221	284	328	612	107	275	25	7	273	71	—	—	—	—	—	—
2014	28	AAA MLE	Lehigh Valley IronPigs	—	441	406	94	26	3	12	32	111	0	3	1	232	290	399	689	167	278	25	7	298	88	—	—	—	—	—	—
2015	29	AAA MLE	Lehigh Valley IronPigs	—	432	405	90	14	1	10	23	92	1	2	4	222	265	336	601	114	261	21	5	263	64	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	97	93	25	3	0	3	4	22	0	0	0	269	299	398	697	129	324	23	4	310	82	-0	+0	-3	-7	+2	-0.8
/ 162G	—	A+C		—	650	623	167	20	0	20	27	147	0	0	0	268	298	396	695	128	322	23	4	310	82	-3	+0	-18	-46	+14	-5.4
Career	—	MLE		—	4420	4058	946	210	22	106	293	1145	20	42	38	233	288	374	662	141	295	26	7	289	82	-0	+0	-3	-7	+2	-0.8
/ 162G	—	MLE		—	650	597	139	31	3	16	43	168	3	6	6	233	288	375	663	142	294	26	7	289	82	-3	+0	-18	-46	+14	-5.4

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.

2015 AAALehigh Valley IronPigs · 432 PAwOBA .326 → .263 (−63)K% 18.1% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.06%	÷1.019	×1.200	—	—	21.26%
BB% (unintentional) /PA	7.87%	÷1.013	×0.690	—	×0.982	5.27%
HBP% /PA	0.23%	—	×0.940	—	×0.982	0.21%
Singles /BIP	23.10%	÷0.991	×0.930	×0.966	×0.982	20.55%
Doubles /BIP	7.59%	÷1.314	×0.830	×0.966	×0.982	4.55%
Triples /BIP	0.32%	÷0.921	×0.970	×0.966	×0.982	0.32%
Home runs /BIP	3.16%	÷0.845	×0.840	—	×0.982	3.09%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 98, 2B 163, 3B 84, K 104, BB 103 — 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 ×0.966.

Result: wOBA .326 → .263; ISO .142 → .116; BABIP .318 → .261. 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).

2014 AAALehigh Valley IronPigs · 441 PAwOBA .355 → .298 (−57)K% 22.0% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.00%	÷1.050	×1.200	—	—	25.15%
BB% (unintentional) /PA	10.20%	÷0.970	×0.690	—	×0.992	7.20%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.27%	÷1.006	×0.930	×0.959	×0.992	17.84%
Doubles /BIP	11.00%	÷0.999	×0.830	×0.959	×0.992	8.69%
Triples /BIP	1.03%	÷1.136	×0.970	×0.959	×0.992	0.84%
Home runs /BIP	4.47%	÷0.922	×0.840	—	×0.992	4.04%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 101, 2B 100, 3B 127, K 110, BB 94 — 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 ×0.959.

Result: wOBA .355 → .298; ISO .198 → .173; BABIP .330 → .278. 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).

2013 AAAIndianapolis Indians · 523 PAwOBA .317 → .273 (−44)K% 19.3% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.31%	÷0.909	×1.200	—	—	25.50%
BB% (unintentional) /PA	10.90%	÷1.012	×0.690	—	×1.003	7.46%
HBP% /PA	0.57%	—	×0.940	—	×1.003	0.54%
Singles /BIP	23.93%	÷0.978	×0.930	×0.988	×1.003	22.55%
Doubles /BIP	4.56%	÷0.954	×0.830	×0.988	×1.003	3.93%
Triples /BIP	0.57%	÷1.080	×0.970	×0.988	×1.003	0.51%
Home runs /BIP	3.42%	÷0.901	×0.840	—	×1.003	3.20%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 96, 2B 91, 3B 116, K 82, BB 102 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .317 → .273; ISO .124 → .112; BABIP .297 → .275. 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).

2012 AAAColumbus Clippers · 539 PAwOBA .348 → .272 (−76)K% 23.7% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.75%	÷0.974	×1.200	—	—	29.25%
BB% (unintentional) /PA	8.35%	÷0.998	×0.690	—	×1.018	5.87%
HBP% /PA	0.37%	—	×0.940	—	×1.018	0.36%
Singles /BIP	18.94%	÷1.002	×0.930	×0.952	×1.018	17.04%
Doubles /BIP	10.03%	÷0.999	×0.830	×0.952	×1.018	8.07%
Triples /BIP	0.84%	÷1.101	×0.970	×0.952	×1.018	0.71%
Home runs /BIP	6.13%	÷1.178	×0.840	—	×1.018	4.45%

Factors used: league row IL. Park (home-season share, regressed): HR 136, 1B 100, 2B 100, 3B 120, K 95, BB 100 — 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 ×0.952.

Result: wOBA .348 → .272; ISO .222 → .163; BABIP .314 → .267. 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).

2011 AAADurham Bulls · 550 PAwOBA .399 → .352 (−47)K% 23.5% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.45%	÷1.051	×1.200	—	—	26.77%
BB% (unintentional) /PA	12.18%	÷0.938	×0.690	—	×1.033	9.26%
HBP% /PA	0.73%	—	×0.940	—	×1.033	0.71%
Singles /BIP	25.22%	÷0.969	×0.930	×0.964	×1.033	24.10%
Doubles /BIP	11.59%	÷0.994	×0.830	×0.964	×1.033	9.64%
Triples /BIP	1.16%	÷1.017	×0.970	×0.964	×1.033	1.10%
Home runs /BIP	5.22%	÷0.960	×0.840	—	×1.033	4.71%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 94, 2B 99, 3B 103, K 110, BB 88 — 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 ×0.964.

Result: wOBA .399 → .352; ISO .215 → .191; BABIP .396 → .361. 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).

2010 AATennessee Smokies · 411 PAwOBA .398 → .315 (−83)K% 23.1% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.11%	÷0.960	×1.220	—	—	29.38%
BB% (unintentional) /PA	10.95%	÷1.048	×0.680	—	×1.012	7.19%
HBP% /PA	1.22%	—	×0.840	—	×1.012	1.03%
Singles /BIP	18.85%	÷0.988	×0.920	×0.976	×1.012	17.34%
Doubles /BIP	10.77%	÷1.126	×0.910	×0.976	×1.012	8.60%
Triples /BIP	1.54%	÷1.006	×0.880	×0.976	×1.012	1.33%
Home runs /BIP	8.08%	÷1.049	×0.800	—	×1.012	6.24%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 98, 2B 125, 3B 101, K 92, BB 110 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .398 → .315; ISO .279 → .216; BABIP .332 → .285. 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).

2009 AATennessee Smokies · 267 PAwOBA .326 → .284 (−42)K% 15.4% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.36%	÷1.000	×1.220	—	—	18.73%
BB% (unintentional) /PA	11.24%	÷1.000	×0.680	—	×1.027	7.85%
HBP% /PA	0.37%	—	×0.840	—	×1.027	0.32%
Singles /BIP	20.31%	÷1.000	×0.920	×0.989	×1.027	18.97%
Doubles /BIP	7.81%	÷1.000	×0.910	×0.989	×1.027	7.22%
Triples /BIP	0.00%	÷1.000	×0.880	×0.989	×1.027	0.00%
Home runs /BIP	3.12%	÷1.000	×0.800	—	×1.027	2.57%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .326 → .284; ISO .142 → .125; BABIP .289 → .267. 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).

2009 A+Daytona Cubs · 108 PAwOBA .322 → .262 (−60)K% 22.2% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.000	×1.420	—	—	31.56%
BB% (unintentional) /PA	6.48%	÷1.000	×0.750	—	×0.998	4.85%
HBP% /PA	0.00%	—	×0.930	—	×0.998	0.00%
Singles /BIP	21.05%	÷1.000	×0.920	×0.990	×0.998	19.13%
Doubles /BIP	10.53%	÷1.000	×0.960	×0.990	×0.998	9.98%
Triples /BIP	1.32%	÷1.000	×0.810	×0.990	×0.998	1.05%
Home runs /BIP	2.63%	÷1.000	×0.880	—	×0.998	2.31%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .322 → .262; ISO .160 → .131; BABIP .333 → .304. 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).