| Crank Score Projections
 7/24/08
 
 
  The “Gut Feeling” is often synonymous with a sense 
                of desperation resulting from a lack of preparation. The Gut Check 
                is a huge proponent of studying the numbers, but there’s 
                a point where one can place too much emphasis on the wrong information. 
                This can result in the undervaluing or overlooking a player’s 
                potential. Therefore, The Weekly Gut Check is devoted to examining 
                the frame of reference behind certain number-driven guidelines 
                that fantasy football owners use to make decisions. 
 Although The Weekly Gut Check doesn’t claim to be psychic, 
                he does believe that he can dispel certain numbers biases and 
                help you make the best choices for your team. We’ll keep 
                a running tally of The Weekly Gut Check’s insights. This 
                way you can gauge his views as something to seriously consider, 
                or at least seriously consider running the opposite way as fast 
                as you can!
 
 
 The response to the new method for 
              scoring Crank has been overwhelmingly positive so I am going 
              to move forward with using it to project 2008 stats. I said I was 
              going to write about projecting rookies, but I’ll focus on 
              it next week when I provide my first complete set of 2008 projections 
              for all positions. This week, I’m going to show you how I 
              use an Average Value Theory-based method to making projections.
 In a nutshell, Crank Scores measure how often a player missed, 
                met, and exceeded, preset baselines of performance that a fantasy 
                owner needed to obtain a “quality start” from that 
                player. My theory is a fantasy owner will have more success in 
                a head-to-head league with a non-auction draft if he factors consistent 
                performance to desired baselines as a deciding factor among players 
                rather than simply picking which player is projected to have the 
                most points.  "I was asked on the forums to give an example of a team 
                of consistent players out-performing another squad with higher 
                fantasy totals at year's end, but was less consistent week to 
                week." The tables below show the following information:  
                 Two starting rosters
 Each player’s fantasy point average from 2007
 2007 Crank Score for each player
 The head-to-head record of each player
 The head-to-head record of each team If one of the players in a head to head scenario was on bye, 
                I used the average fantasy points of the mid-point non-starting 
                ranked player at each position to compete with the active player 
                from the other roster in a 1 QB, 2 RB, 3 WR, 1 TE lineup. That 
                means in a 12-team league, the substitute points were the 18th 
                ranked QB and TE and the 36th ranked RB and WR by fantasy points 
                per game:   Sub Par QB points = 14.9
 Sub Par RB points = 8.3
 Sub Par WR points = 5.1
 Sub Par TE points = 4
 I have to admit that this was a bit tougher to do than I expected, 
                because I tried to take this example to the extreme to prove a 
                point: Compile a team that had a lower 
                fantasy point per game average than its competitor, but still 
                won more head-to-head match ups. While it didn’t 
                take me more than a couple of hours to do, I took the extra time 
                to find players who were more consistent despite missing time 
                due to injury so it wasn’t simply a matter of the lower 
                average/more consistent team being healthier than the higher average/less 
                consistent squad. 
 
                 
                  | 
                       
                        | Team A | Fpts/Gm | Crank | Record | Team B | Fpts/Gm | Crank |   
                        | Brett Favre | 17.47 | 12 | F 9-8 | Ben Roethlisberger | 19.11 | 9 |   
                        | Willis McGahee | 12.8 | 20 | CP 
                          9-8 | Clinton Portis | 14.44 | 17 |   
                        | Joseph Addai | 15.57 | 31 | JA 
                          9-7-1 | Adrian Peterson | 17.06 | 30 |   
                        | Braylon Edwards | 14.06 | 35 | BE 
                          12-4-1 | Andre Johnson | 14.79 | 23 |   
                        | Wes Welker | 10.56 | 22 | WW 
                          10-5-2 | Anquan Boldin | 11.73 | 17 |   
                        | Greg Jennings | 12.62 | 29 | TH 
                          10-7 | Chad Johnson | 12.29 | 20 |   
                        | Kellen Winslow | 8.79 | 16 | KW 
                          8-7-2 | Antonio Gates | 9.53 | 12 |   
                        | Team Avg | 91.87 |  | A 9-8 | Team Avg | 98.95 |  |  |  Team B had a total point per game average that was over seven 
                points higher than Team A, but Team A actually edged Team B in 
                head to head match ups among its players. I cheated a bit with 
                Greg Jennings, who scored more per game than Chad Johnson, but 
                I used him as a Team A player because the fantasy points per game 
                averages between Jennings and Johnson were virtually the same, 
                but Jennings missed time and still was more consistent. I could 
                have made this a more dramatic difference if I gave Team B players 
                such as Ronnie Brown, Larry Johnson, or Steven Jackson, which 
                would have been more common. Here’s the actual head-to-head 
                breakdown. . 
 
                While a boom-bust player’s carry over points will help his 
              team compensate for any of his teammates’ poor showings, I 
              was actually being pretty kind by giving a significant number of 
              fantasy points to any players on bye or injured. This helped the 
              boom/bust team more than the more consistent squad. 
                  | 
                       
                        |  | Team A |  | Team B |   
                        | Wk | Fpts | Winner | FPts |   
                        | 1 | 70.4 | B | 125.4 |   
                        | 2 | 111.6 | B | 120.4 |   
                        | 3 | 104.3 | A | 78.1 |   
                        | 4 | 96.3 | A | 63.9 |   
                        | 5 | 76.9 | A | 62.3 |   
                        | 6 | 89.7 | A | 89.4 |   
                        | 7 | 83.1 | B | 96.5 |   
                        | 8 | 124.8 | A | 69.7 |   
                        | 9 | 112.6 | B | 118.5 |   
                        | 10 | 75.9 | A | 71.7 |   
                        | 11 | 89.4 | A | 76.2 |   
                        | 12 | 112.3 | A | 87.2 |   
                        | 13 | 71.7 | B | 88.3 |   
                        | 14 | 95.4 | A | 63.4 |   
                        | 15 | 59.7 | B | 90.9 |   
                        | 16 | 49.8 | B | 96.7 |   
                        | 17 | 57 | B | 94.8 |   
                        | Avg |  | A 9-8 |  |  |  In a real situation, one wouldn’t presume a fantasy owner 
                found a steady-productive player once Andre Johnson or Ronnie 
                Brown got hurt. Not everyone drafts depth effectively, nor do 
                they hit on waiver wire picks even 30% of the time.  Crank isn’t meant for you to try to pick players who score 
                fewer points per game, but to complement your search for high 
                scorers with consistency so you don’t have to rely upon 
                a big week from one or two players at the same time to keep your 
                team competitive. It’s unlikely you’ll face more than 
                three to five teams where the match ups aren’t more lopsided 
                among 50%-75% of the players in your starting lineup than this 
                example I went through here. To review from last week, the New Crank Score sports these differences 
                from the old method:   Missed games due to injury are factored into the New 
                Crank Score. 
 Elite and #1 quality games are no longer given more weight. 
                
 Fantasy points per game average no longer dominate the 
                formula. 
 The New Crank Score has a maximum number at each position. 
              
 We all know that projecting performance is not science, but a 
                craft. There are numerous variables that go into building a winning 
                roster. Examining consistency is only a small part of the equation, 
                but any edge can help you. I’m sure you have notice that 
                your fellow owners have become increasingly more knowledgeable 
                about the game and prepared on draft day and they incorporate 
                several factors into a draft plan: My method for projecting Crank Scores will include the factors 
                I mentioned earlier, plus incorporating two-year Crank scores 
                much like one would do to calculate two-year fantasy point totals 
                for the Average Value Theory. 
                This way at least the scores/stats/performances are accurate for 
                the ranking, even if the player selected for the ranking isn’t 
                correct.
 Here is the list of the top 32 QBs from a two-year measurement 
                of Crank scores. The table shows the old Crank and New Crank scores. 
                The players are sorted according to the new scores, but the number 
                next to the player’s name reflects his rank according to 
                the old score. 
 As I hear (and agree) all the time, last year’s stats 
                  do not mean this year’s performance. Yet, last year’s 
                  stats do help us make some educated decisions. For instance, 
                  Peyton Manning has been the top quarterback for the past two 
                  years, but Tom Brady’s 2007 vaulted him to a spot close 
                  behind. When one examines the Pats and the Colts offenses for 
                  question marks heading into the 2008 season, one can argue while 
                  New England lost Donté Stallworth to free agency and 
                  Ben Watson is still recovering from an injury, Marvin Harrison’s 
                  return remains an unknown and Peyton Manning will miss most 
                  of training camp. Since Stallworth and Watson were far less 
                  integral parts of the Pats offense compared to Harrison’s 
                  role with the Colts and Manning is a workaholic who will miss 
                  the continuity of practice he normally gets, I’m more 
                  inclined to believe Tom Brady is the best candidate for the 
                  top spot for 2008’s projections.  At the same time, counting on Brady to have consecutive, record-shattering 
                seasons is an improbable bet. This is where plugging in your top-rated 
                player into the best score for the two-year period mitigates this 
                problem. Instead of trying to predict Brady will have another 
                season where he achieves a New Crank Score of 25 (which was the 
                equivalent of 12 Elite Games, 15 #1 Games, and only 1 Sub Par 
                Game), inserting Brady into the #1 spot based on the two-year 
                average of 15.5 (the equivalent of 8 Elite Games, 12 #1 Games, 
                and 4 Sub Par Games) is a far more realistic expectation.  Here is preview of my 2008 Crank Projections for the top 5 QBs 
                based on this method. 
 What I’m doing with these projections is simply plugging 
                in the player who I believe will fulfill this two-year average 
                Crank Score. This is very similar to how the Average Value Theory 
                is applied. It’s a quicker method than projecting stats 
                and fantasy points, because the Elite, #1, and Subpar columns 
                are each fantasy point-driven. In this case, it’s for a 
                12-team league with 1 QB, 2 RBs, 3 WRs, 1 TE. For QBs here’s 
                how the points stack up:   An Elite game is at least 21.10 fantasy points. 
 A #1 game is at least 16.42 fantasy points.
 A Subpar game is less than 16.42 fantasy points. 
 Let’s use Tom Brady as an example to estimate his fantasy 
                points per game using these figures. If Brady has 8 Elite Games, 
                12 #1 Games, and 4 Subpar Games, then we know that those 8 Elite 
                Games also count among the #1 Games. Therefore there are only 
                4 #1 Games that didn’t score in the Elite category (12-4 
                = 8). To get an estimated fantasy point per game total for the 
                2008 season, I can simply do this calculation:  (8 Elite Games x 21.10 Fantasy Points) 
                  + (4 #1 Games x 16.42 Fantasy Points) + (4 Sub Par Games x 16.4) 
                  = 300.08 300.08 Fantasy Points/16 Games = 18.75 
                  Fantasy Points/Game The number looks too low for Tom Brady, doesn’t it? He 
                averaged 25.9 fantasy points per game lat year, scoring 114 addition 
                points than I credited him. In fact, Brady would have only been 
                the seventh-ranked QB last year with a total I calculated.  What you may not realize is that this total would have made Brady 
                the second-best fantasy quarterback overall in 2006 and the top 
                signal caller in 2005. If you believe quarterbacks performances 
                are trending upward, then my projection is too low. I don’t 
                believe this is the case.  Another criticism I anticipate is how close together these five 
                quarterbacks are two each other in terms of fantasy points per 
                game. This simplified calculation of fantasy points doesn’t 
                factor in how high or how low an Elite Game or Subpar Game can 
                be, respectively. I counter this point by cautioning you to use 
                the New Crank Score as the way you tier players, not fantasy points 
                per game. I’m simply looking for an estimation of fantasy 
                points per game; the Crank Score incorporates enough data for 
                me to see separation alone. The fact that Brady is four points 
                above Brees and six points above Manning is the significant number, 
                especially when I begin applying these rankings across all positions. 
               
                 
                  | 
                       
                        | Max Crank Scores 
                          By Position |   
                        |  | Max Elite | Max #1 | Max #2 | Max #3 | Max Crank |   
                        | 1 QB | 16 | 16 | N/A | N/A | 32 |   
                        | 2 RB | 16 | 16 | 16 | N/A | 48 |   
                        | 3 WR | 16 | 16 | 16 | 16 | 64 |   
                        | 1 TE | 16 | 16 | N/A | N/A | 32 |  |  Based the maximum Crank Score for each position, the most important 
                positions to have are RB and WR. Based on my experience, it’s 
                far easier to win a championship or at least field a playoff-caliber 
                squad with an average starter or play the match ups with a committee 
                of signal callers than it is to lack quality runners or receivers 
                in your starting lineup. Inherently the Crank Score prioritizes 
                which positions are important to draft.  Don’t mistake this table as reason to draft three receivers 
                in the first three rounds! You have to take this information and 
                apply it with common sense. The demand for runners is higher than 
                any other position in most leagues. This chart should support 
                your reasoning for avoiding the quarterback in the first three 
                to five rounds and opting for surer possibilities at receiver. 
               Why did I plug in these five quarterbacks into these spots? What 
                all five of these quarterbacks have in common is a quality receiving 
                corps with either a strong TE or excellent slot receiver as a 
                secondary option. Although Brady was phenomenal in 2008, there 
                has never been a quarterback in the history of the game to repeat 
                a top 20, all-time performance. Several have come close, but they 
                could not remain healthy for the season. Tempering expectations 
                on Brady will most likely save you from over valuing him. Drew 
                Brees gets a bump, because of his second-half tear in 2007, an 
                improved linebacker corps, no attrition at the skill positions, 
                and the addition of Jeremy Shockey. Manning slips for the reasons 
                I stated when comparing the Colts off-season to the Pats, but 
                it’s obviously not a big drop when you look at the number 
                of quality games I think he’ll have.  Next week, I’ll incorporate the New Crank Score projections 
                across all positions and provide analysis for the preseason fantasy 
                rankings. 
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