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ARLINGTON, Texas -- Yu Darvish will get some extra rest before his next start after throwing 126 pitches in another near no-hitter. The Texas Rangers announced Sunday that Darvish will not start as scheduled Wednesday at Houston. The right-hander from Japan will instead pitch the series opener at home Friday against Toronto in place of lefty Martin Perez, who reported discomfort in his left elbow after not making it out of the fourth inning Saturday night in his third consecutive bad start. "I dont know because I dont know the particulars," manager Ron Washington responded when about his level of concern on Perez. "Weve just got to wait and see what the evaluation proves out." Perez allowed six runs and 14 runners (nine hits, four walks and a hit batter) in 3 2-3 innings of an 8-3 loss to Boston. Since the end of his 26-inning scoreless streak over three games, Perez (4-3) has given up 19 runs over 13 1-3 innings in his past three games, raising his ERA from 1.42 to 4.38. Perez will stay in Arlington for MRI and treatment instead of going with the team to Houston. The pitcher said he has never had elbow trouble in the past. "Im not nervous. I want to keep working and get in a good situation," Perez said after the Rangers 5-2 loss to Boston on Sunday. "I want to make sure everything is good. Its day to day." Darvish came within one out of a no-hitter Friday night in the series opener against the Red Sox before slugger David Ortiz grounded a clean single with two outs in the ninth on the aces 126th and final pitch. That was just short of his career high of 130 pitches. Nick Tepesch was scratched from his scheduled start Sunday for Triple-A Round Rock, and is slated to pitch for Texas on Wednesday in Darvishs spot before the Rangers have a scheduled day off Thursday. Tepesch was 4-6 in 19 games (17 starts) as a rookie last year for the Rangers, but has spent this season at Round Rock. The right-hander is 5-1 with a 1.58 ERA in seven starts for the Express. Right-hander Scott Baker and infielder Josh Wilson both cleared outright waivers after being designated for assignment Thursday. Baker, who pitched 5 1-3 innings in relief in his Rangers debut Wednesday, accepted an assignment to Triple-A Round Rock. The Rangers were still waiting for a decision from Wilson, who can refuse the move. The extra rest for Darvish could also be good news for the Astros. Darvish was within one out of a perfect game during his first start of 2013 in Houston when Marwin Gonzalez singled through the pitchers legs. Darvish then lost a no-hit bid with one out in the eighth inning against the Astros last August. Last month in Arlington, Darvish retired the first 15 Astros batters and pitched eight scoreless innings in what became a 1-0 Texas win in 12 innings. 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Gonzalez homered, doubled and singled in his return to the lineup, and the Colorado Rockies snapped a five-game losing streak with a 13-4 victory over the Chicago Cubs on Wednesday night.An awful lot of digital ink has been spilled on Patrick Roys 2013-14 Colorado Avalanche this summer, a team that more or less defied woeful play at five-on-five by riding unsustainable shooting and save percentages. Largely because we have seen a model of this team before, many analysts are expecting some form of regression a€“ the 2011-12 Minnesota Wild and 2012-13 Toronto Maple Leafs have provided ample case studies in the importance of getting the right side of possession. Perhaps more accurately, they have provided lessons on why teams must not rely on volatile percentages to rack up wins. What makes this Colorado team interesting is two-fold. Firstly, theyre teeming with young and developing talent, which could help stave off that regression to a degree. Secondly, we have only seen one year of real success from this club. The season before, Colorado played to a 67-point pace and finished dead last in the Western Conference. Since we have data on teams dating back to 2007, its not particularly difficult to investigate relationships between sets of data. Correlations of subsequent seasons can tell us what kind of adjustments to make, if any, when trying to forecast future output. What I went ahead and did prior to this post was pull out Year 1 vs. Year 2 data for a variety of team-level even-strength numbers from 2007 to 2012 and dropped them in the table below. Repeatability is an r-squared number that tells us the percent of variance explained - the higher the r-squared number (up to 1.0), the more repeatable of a skill it is: Category Repeatability EV Shooting Percentage 0.00 EV Save Percentage 0.13 EV Goal For% 0.19 EV Fenwick% 0.33 EV Corsi% 0.38 EV Score-Adjusted Fenwick% (SAF%) 0.39 You are reading the above correctly. A teams even-strength shooting percentage over one year tells us absolutely nothing about how that team will shoot the following year. Save percentage is slightly more telling than shooting percentage, but ultimately, its a number youre going to want to heavily regress. As you go down the list, the correlations in data run tighter and the numbers dont need to be regressed as heavily. None of this bodes well for Colorado, a team that rode high percentages and carried terrible territorial control. One other note on the above - youll see that the r-squared between EV GoalFor% in the first year and EV GoalFor% in the subsequent year is 0.19. While EV GoalFor% is a better predictor of future EV GoalFor% than both EV Fenwick% and EV Corsi%, it is not a better predictor than EV Score-Adjusted Fenwick%. That said, lets look at some comparables for the Colorado Avalanche - teams that picked up 90 or more points (my random cut-off line separating average teams from good ones) who also carried sub-par possession numbers at even-strength. Well use equations generated for the year-one to year-two correlations to create an estimated number, and then compare it against the teams actual number. First, lets do the percentages at even-strength: Y1 EVSH% Est. Y2 EVSH% Actual Y2 EVSH% 2007 Pittsburgh 8.96% 7.89% 9.76% 2007 Montreal 8.73% 7.88% 8.23% 2007 Minnesota 8.39% 7.88% 7.50% 2008 Florida 8.35% 7.88% 7.71% 2008 Montreal 8.23% 7.88% 7.58% 2009 Colorado 8.84% 7.89% 7.93% 2010 Carolina 8.05% 7.88% 7.26% 2010 Dallas 8.72% 7.89% 7.62% 2010 Anaheim 7.79% 7.87% 7.99% 2013 Colorado 8.77% 7.89% ? AVERAGE 8.48% 7.88% 7.95% Its almost stunning how identical the expected year two and actual year two percentages are on both ends of the rink. The takeaway from this is simple: one year of shooting percentage data tells us absolutely nothing, andd regressing it all the way to the league average will give us a much better forecast of whats to come.dddddddddddd Y1 EVSV% Est. Y2 EVSV% Actual Y2EVSV% 2007 Pittsburgh 93.29% 92.55% 92.40% 2007 Montreal 92.53% 92.28% 92.27% 2007 Minnesota 92.25% 92.18% 92.70% 2008 Florida 93.27% 92.54% 93.13% 2008 Montreal 92.27% 92.19% 92.90% 2009 Colorado 92.62% 92.31% 91.35% 2010 Carolina 92.45% 92.25% 92.34% 2010 Dallas 92.49% 92.27% 92.05% 2010 Anaheim 92.32% 92.21% 91.66% 2013 Colorado 93.07% 92.47% ? AVERAGE 92.66% 92.33% 92.31% The same can be said for save percentage data - taking our year one data and pulling it back 87 per cent to the league average gives us a more accurate guess as to whats to come. Using that regression for forecasting purposes, expect Colorado to shoot around 7.89 per cent for next year at evens and stop around 92.47 per cent of the shots. Now, lets break away from shooting and save percentages and look at possession rates. We know Score-Adjusted Fenwick% is the most repeatable of these metrics. Lets repeat the above exercise with the same Colorado comparables, and try to pindown where Colorado will finish at evens this season. Ive included a fourth column in here to identify the change in points from Year 1 to Year 2. Y1 SAF% Est. Y2 SAF% Actual Y2 SAF% Points Change 2007 Pittsburgh 46.70% 48.05% 49.21% -3 2007 Montreal 47.22% 48.36% 47.56% -11 2007 Minnesota 47.77% 48.68% 47.39% -9 2008 Florida 46.18% 47.75% 45.66% -16 2008 Montreal 47.60% 48.58% 46.78% -5 2009 Colorado 46.33% 47.83% 46.38% -27 2010 Carolina 47.18% 48.34% 47.18% -9 2010 Dallas 47.60% 48.58% 47.60% -6 2010 Anaheim 45.46% 47.32% 45.46% -20 2013 Colorado 47.18% 48.34% ? ? AVERAGE 46.92% 48.18% 47.02% -11.78 You should first notice that regression seems less important with our possession numbers than the shooting/save percentages above. Thata€?s because possession is a repeatable skill - or in this case, the lack of possession is a repeatable skill. Every team that can be considered a comparable for Colorado 2013-14 was out-shot in Year 1 and Year 2 - in most cases, decisively. And, ita€?s impossible to ignore that column on the right, where every single percentage-good, possession-bad team of recent history saw a fall in the standings. The average fall for those nine teams was in the double digits, and the one team that didna€?t take a massive hit - 2007 Pittsburgh - improved their possession numbers by almost three full percentage points. Not only are those percentages running against the Avs, but they also go into next season missing their two best possession forwards from last season, with Paul Stastny signing in St. Louis and P.A. Parenteau traded to Montreal. Further, its difficult to project improved possession numbers when the Avalanche brain trust doesnt seem inclined to dig into possession-based analytics. This does not bode well for Patrick Roya€?s team. Ita€?s a virtual lock that their shooting and save percentages will climb down from their heights of last year, which means that their Goal% - last year, it was at 53.6 per cent - is in real trouble. The million dollar question is how far the Avs will fall - knocking them down by the average (-11.78) would likely still see them finish in the post-season, but their margin for error will be extremely tight this year. ' ' '