MLS
MLS Carryover Minutes as a Predictor of Success
Meaningless statistic? You decide.
I got this idea from Tweed Thornton of Hot Time in Old Town. For a couple of years, Tweed ran a post at the end of the season showing the percentage of minutes played on each team by players that had been with the team the previous season. It’s an attempt to quantify whether the consistency of a roster could be correlated to team performance.
In the table below, the first two columns do exactly what Tweed did. So for the ‘End ’11′ column, the percentages reflect the number of minutes by 2010 carryover players. The twist I’ve added is to do the same at the beginning of the season. So the third column is a pretty close representation of the carryover minutes from 2012 players for each team. Note that the calculations are not perfect, but they should be pretty close.
In the first two columns, teams shaded in mauve, yeah I said it, mauve, did not qualify for the playoffs.
Some Observations
| Carryover Minutes | |||
|---|---|---|---|
| End ’11 | End ’12 | Begin ’13 | |
| CHI | 42.5% | 69.6% | 70.8% |
| CHV | 49.4% | 41.5% | 47.0% |
| CLB | 58.1% | 60.3% | 65.0% |
| COL | 80.5% | 58.7% | 57.7% |
| DAL | 66.8% | 69.4% | 59.4% |
| DC | 29.0% | 61.3% | 75.5% |
| HOU | 66.6% | 84.1% | 78.9% |
| KC | 62.2% | 83.1% | 74.8% |
| LA | 79.3% | 74.3% | 76.6% |
| MTL | - | 78.9% | |
| NE | 57.5% | 51.2% | 80.2% |
| NY | 63.6% | 46.7% | 55.4% |
| PHL | 49.7% | 69.9% | 74.7% |
| PTL | 57.1% | 65.4% | |
| RSL | 84.4% | 88.6% | 72.2% |
| SEA | 78.4% | 63.0% | 73.1% |
| SJ | 74.0% | 81.2% | 86.7% |
| TFC | 35.3% | 60.9% | 56.6% |
| VAN | 51.5% | 76.4% | |
| Missed Playoffs | |||
5th Annual Pundits’ MLS Prediction Post
Some Starters
This is the 5th year that I’ve posted the collated predictions by pundits of the soccersphere. The first two years I was posting for MLS Talk. I like to thank Chris over at MLS Talk for giving me the opportunity to join his fine group of blogs and allowing me to find a voice(of sorts) that I hope some readers have enjoyed. For MLS attendance geeks, check out the MLS Attendance page on OLR. Every regular season game in the history of MLS is in the database. It’s not perfect and if you have suggestions on how to improve it, please let me know. Thanks for reading and happy MLS’ing.
Take Me Out to the Ballgame – 2013 Prequel
With the 2013 MLS season just around the corner, here’s a look back at recent MLS attendance and a few other things. I’ll have my annual crystal ball post online later this week.
| 5 year comparison | ||||||||
|---|---|---|---|---|---|---|---|---|
| Avg | +/- | GP | ||||||
| 2008 | 16,460 | 210 | ||||||
| 2009 | 16,037 | -2.57% | 225 | |||||
| 2010 | 16,675 | 3.98% | 240 | |||||
| 2011 | 17,869 | 7.16% | 306 | |||||
| 2012 | 18,798 | 5.20% | 323 | |||||
| 2008 210 Game Season – 2009 225 Game Season 2010 240 Game Season – 2011 306 Game Season 2012 323 Game Season |
||||||||
| 5 year comparison | ||||
|---|---|---|---|---|
| Average | Median | %<10K | %>18k | |
| 2008 | 16,460 | 15,188 | 10.95% | 33.81% |
| 2009 | 16,037 | 14,686 | 14.67% | 31.11% |
| 2010 | 16,675 | 15,332 | 7.50% | 36.25% |
| 2011 | 17,869 | 17,639 | 5.56% | 48.69% |
| 2012 | 18,798 | 18,393 | 1.86% | 54.18% |
| MLS Attendance – Equal # of Home Games | |||||||
|---|---|---|---|---|---|---|---|
| 2011 | 2012 | ||||||
| Att | Cap | Att | Att +/- | GP | % of Cap | Cap | |
| Seattle | 38,495 | ?? | 43,104 | 11.97% | 17 | 96.66% | 44,594 |
| LA Galaxy | 23,335 | 86.43% | 23,136 | -0.85% | 17 | 85.69% | 27,000 |
| Montréal | NA | NA | 22,772 | NA | 17 | 71.15% | 32,005 |
| Houston | 17,694 | 80.28% | 20,946 | 18.38% | 17 | 95.04% | 22,039 |
| Portland | 18,827 | 101.07% | 20,438 | 8.56% | 17 | 100.00% | 20,438 |
| Vancouver | 20,408 | 97.18% | 19,475 | -4.57% | 17 | 92.74% | 21,000 |
| Sporting KC | 17,810 | 96.44% | 19,404 | 8.95% | 17 | 105.08% | 18,467 |
| Salt Lake | 17,594 | 87.94% | 19,087 | 8.49% | 17 | 95.40% | 20,008 |
| Red Bulls | 19,691 | 78.17% | 18,281 | -7.16% | 17 | 72.58% | 25,189 |
| Toronto | 20,267 | 92.21% | 18,155 | -10.42% | 17 | 82.60% | 21,978 |
| Philadelphia | 18,258 | 98.69% | 18,053 | -1.12% | 17 | 97.58% | 18,500 |
| Chicago | 14,273 | 78.92% | 16,407 | 14.95% | 17 | 82.03% | 20,000 |
| Colorado | 14,838 | 74.19% | 15,175 | 2.27% | 17 | 83.90% | 18,086 |
| Columbus | 12,185 | 59.57% | 14,397 | 18.15% | 17 | 70.38% | 20,455 |
| FC Dallas | 12,861 | 54.92% | 14,139 | 9.94% | 17 | 66.72% | 21,193 |
| NE Revs | 13,222 | 58.76% | 14,001 | 5.90% | 17 | 62.23% | 22,500 |
| D.C. United | 15,196 | 77.35% | 13,846 | -8.88% | 17 | 70.47% | 19,647 |
| San Jose | 11,858 | 112.67% | 13,293 | 12.10% | 17 | 86.81% | 15,313 |
| ChivasUSA | 14,830 | 68.41% | 13,056 | -11.96% | 17 | 69.45% | 18,800 |
Soccer Potpourri
MLS
- WV Hooligan: Making Sense of the Generation Adidas Program
- Brent Latham: The Chivas model doesn’t work in the United States
- Dan Loney: After Everyone’s Gone – MLS 1.0 is within measurable reach of its end
- The Lowry Lowdown: Insight on Trades as a Professional Footballer
The Business of Soccer
- Owen Gibson: Premier League TV deal in danger of perpetuating ‘a culture of greed’
- James Riach: Premier League clubs discuss plans to curb spending on player wages
- ESPN FC: Arsenal sign £150m deal with Emirates
Interesting Reads
- Michael Lewis: This writer did not want to cover soccer in the first place
- Dave Laidig: NASL: Recent History & Near Future
- Jonathan Wilson: Why are more goals being scored?
- Spirit of Mirko: CAF Club Coefficients
- SoccerLens: The Rise of the Hybrid Formation
- Bill Archer: Just Say No to Serbia
- Barney Ronay: NextGen is that rarest of things in football – a genuinely good idea
MLS Crystal Ball Revisited: 2012 Edition
Back in March, for the fourth year, I wrote a post with the preseason predictions of some of the most widely read soccer pundits. In all, I collected the predictions of 18 posts.
Now before anyone gets their pants in a wad, I am aware that things change during the season. Players get injured, others get signed, etc. So just keep in mind that this post is about what was known back in March and the pundits(and I) took our best shots with what was laid out before us.
Note I am also aware that some writers will say their lists are ‘power rankings’, not predictions. Fine, a rose by any other name, but when you say team X is #1, it’s fair to say that all things being equal in the writer’s mind, that team should finish with the most points, doncha think?
MLS Performance Bits
As MLS resumes action after the international break, here are some random stats. As usual, if you find any errors please let me know in the comment section. Enjoy.
The Player Performance bits are for those with at least 700 minutes played
You can generate your own Top 20 in Points, Goals, or Assists per 90 minutes for any season in league history on the MLS Player Statistics page of this site.
Team Bits – Scoring First and more
MLS teams’ point differential from 2011 after 303 games
Note: The 2011 season had 306 games
| Points Difference 2012 v 2011 | |||||
|---|---|---|---|---|---|
| 2012 | 2011 | Pts | |||
| Pts | PPG | Pts | PPG | Diff | |
| San Jose | 64 | 2.00 | 35 | 1.06 | 29 |
| Kansas City | 59 | 1.84 | 51 | 1.50 | 8 |
| Chicago | 56 | 1.75 | 43 | 1.26 | 13 |
| Real Salt Lake | 55 | 1.72 | 53 | 1.56 | 2 |
| DC United | 54 | 1.69 | 39 | 1.15 | 15 |
| NY Red Bull | 53 | 1.66 | 46 | 1.35 | 7 |
| Seattle | 52 | 1.68 | 60 | 1.82 | -8 |
| Los Angeles | 50 | 1.56 | 67 | 2.03 | -17 |
| Houston | 50 | 1.56 | 46 | 1.39 | 4 |
| Columbus | 49 | 1.53 | 47 | 1.38 | 2 |
| Vancouver | 42 | 1.31 | 28 | 0.82 | 14 |
| Dallas | 38 | 1.19 | 52 | 1.58 | -14 |
| Philadelphia | 36 | 1.16 | 48 | 1.41 | -12 |
| Colorado | 31 | 0.97 | 49 | 1.44 | -18 |
| Portland | 30 | 0.94 | 42 | 1.24 | -12 |
| New England | 29 | 0.91 | 28 | 0.82 | 1 |
| Chivas USA | 29 | 0.91 | 36 | 1.09 | -7 |
| Toronto FC | 22 | 0.69 | 33 | 0.97 | -11 |
How the CONCACAF Champions League has effected MLS teams
| CCL Impact on MLS Performance – ’12-13 | |||||
| Group Begins | After Group Play | ||||
|---|---|---|---|---|---|
| GP | PPG | GP | PPG | +/- | |
| Los Angeles | 23 | 1.43 | 32 | 1.56 | 8.90% |
| Real Salt Lake | 23 | 1.83 | 32 | 1.72 | -5.88% |
| Seattle | 21 | 1.62 | 31 | 1.68 | 3.61% |
| Houston | 22 | 1.68 | 32 | 1.56 | -7.09% |
| Toronto FC | 21 | 0.90 | 32 | 0.69 | -24.01% |
Wondo’s season is good enough for 10th all time in goals per 90 minutes, Alan Gordon is on track for 7th best all time.
| All Time Top 20 Goals/90(700 Minutes Minimum) | |||||||
|---|---|---|---|---|---|---|---|
| Team | Player | Mins | G | A | Pts | Pts/90 | Year |
| CLB | Stern John | 2170 | 26 | 5 | 57 | 1.078 | 1998 |
| COL | Wolde Harris | 1133 | 13 | 4 | 30 | 1.033 | 1998 |
| TB | Mamadou Diallo | 2405 | 26 | 4 | 56 | 0.973 | 2000 |
| TOR | Danny Koevermans | 756 | 8 | 1 | 17 | 0.952 | 2011 |
| TB | Roy Lassiter | 2580 | 27 | 4 | 58 | 0.942 | 1996 |
| LA | Carlos Ruiz | 2376 | 24 | 1 | 49 | 0.909 | 2002 |
| SJ | Alan Gordon | 1297 | 13 | 8 | 34 | 0.902 | 2012 |
| DC | Raul Diaz Arce | 2351 | 23 | 2 | 48 | 0.880 | 1996 |
| NE | Taylor Twellman | 2418 | 23 | 6 | 52 | 0.856 | 2002 |
| SJ | Chris Wondolowski | 2633 | 25 | 8 | 58 | 0.855 | 2012 |
| LA | Landon Donovan | 2136 | 20 | 9 | 49 | 0.843 | 2008 |
| DC | Jaime Moreno | 1725 | 16 | 8 | 40 | 0.835 | 1997 |
| MIA | Alex Pineda Chacon | 2055 | 19 | 9 | 47 | 0.832 | 2001 |
| CHI | Hristo Stoitchkov | 987 | 9 | 7 | 25 | 0.821 | 2000 |
| LA | Eduardo Hurtado | 2323 | 21 | 7 | 49 | 0.814 | 1996 |
| NY | Juan Pablo Angel | 2125 | 19 | 5 | 43 | 0.805 | 2007 |
| LA | Cobi Jones | 2136 | 19 | 13 | 51 | 0.801 | 1998 |
| NE | Joe-Max Moore | 1238 | 11 | 1 | 23 | 0.800 | 1996 |
| KC | Miklos Molnar | 1353 | 12 | 1 | 25 | 0.798 | 2000 |
| DAL | Jeff Cunningham | 1,918 | 17 | 8 | 42 | 0.798 | 2009 |
Soccer Potpourri
MLS
- US Soccer Players: Why isn’t MLS like Europe?
- Tony Edwards: Work Rate
- Tweed Thornton: MLS Carryover Minutes: Why Your Team May Not Have Enough
- The Best Eleven: MLS Bargain Goal Scoring Leaders
- The Scoring Third: Orlando City Stadium: Behind the Numbers
- nextSTL: LHM Seeks MSL Stadium as part of new vision for Union Station in St. Louis
- Steve Davis: MLS in Minnesota? Perhaps, but at what cost?
- Simon Borg: MLS officials discuss NYC expansion plans, eye on 2016
- Nick Green: Chivas USA appears to be turning its herd away
Interesting Reads
- Frank Dell’Apa: The United States now exports strikers, not goalkeepers
- ESPN FC: Role of the new No. 10 in the Premier League
- David James: Life outside of the Premier League bubble is a bit of a culture shock
- Frank Dell’Apa: Battle for soccer’s place in America is humming along nicely
- Jason Davis: Soccer Is America’s Sport of Now
- Independent: The Last Word: Blame is the game and everyone is primed to kick it into touch
- SoccerLens: FIFA Laws of the Game: Ambiguity, Uncertainty & Room For Interpretation
- Grant Wahl: Inside Barcelona: Success beyond trophies for club president Rosell
- SoccerLens: Soccer For Cartoons: How The Beautiful Game Was Made For Saturday Morning
Tournaments
- UEFA Champions League: UCL Group Stage Day 2 Update
- Europa League: Europa League Update
- AFC Champions League: Asian CL group phase update
- Copa Sudamericana: Copa Sudamericana
MLS Performance Bits
You can generate your own Top 20 in Points, Goals, or Assists per 90 minutes for any season in league history on the MLS Player Statistics page of this site.
MLS Performance Bits
The Player Performance bits are for those with at least 700 minutes played.
More MLS Top 20 Stuff
MLS Stat Stuff
In the course of filling in my database of player statistics, I started playing around with the data and have come up with the following tables(and added 2012). I think you’ll find it interesting, or I wouldn’t have bothered posting it. For me, I get a visual representation of the players that show consistency when on the offensive.
Each of the tables are based on a top 20 points per 90 minutes basis with a minimum of 700 minutes played.


