Find out from our stats which England League One teams have yielded the biggest profit and whiš¼ch teams are the ones to avoid for the current season with our handy Profit & Loss tables.
Check out our KickForm site for the very latest and most in-depth tips, odds and predictions on all the top European football leagues, including England Premier League, Spain La Liga tips, Italy Serie A, Germany 1. Bundesliga predictions and France Ligue 1!
If you're looking for a betting site to place bets on, don't forget to visit our UK betting sites list, or else click here for theĀ latest free bet offers!
England League One Stats Table
Overall
Home
Away
INFO
To find these stats faster nexšt time, search āTPP English League One Profiš¬t & Loss Statsā on Google. If the stats on this page have not updated, then please .
England League One Profit & Loss Stats
The purpose of our England League One Profit & Loss tables isā to see how much each team would have returned had you backed them to win every game with Ā£10 level stakes. You can then spot, at a glance, who has been š§providing the best value over the course of the campaign.
The table below ranš ks all 24 League One sides based on profitability (#1 beinš¦©g most profitable).
You can select (using the tabs) to see data based on āOverallā results (Home & Away form combined), āHomeā results (home form only) and āAwayā results (away forš°m only). The data is updated every day.
Key
-
P/L ā Total profit or loss if Ā£10 wašs staked on this team to win everyš game.
-
ROI (Return On Investment) ā Total profit or loss as a % of total stakes if šøĀ£10 was staked on this team to win every game.
Important: If āthe sšÆtats on this page haven't updated then please .
How Are The Profit & Loss Figures Calculated
As mentioned earlier, the Profit & Loss (P/L) statistics are calculated as if you were to back each team to win every game with Ā£10 stakes using odds from bet365. The data iš°s then added together cumulatively throughout the season to give the total profit or loss each team would gave geneš®rated.
ROI (Return On Investment) is calculated by dividing the total Profit/Losź¦s by the number of matches played and then converted into a percentage.
What Other Stats Do We Provide?
Match Stats
Betting Stats
Profit & Loss Stats
Streaks & Trends
League One Key Stats
After sifting through plenty of data, these are the key League 1 stats weāve identified as ą¹being valuable for punters. Of course, youāll have āto decide which numbers are relevant and how to use them.
Previous League One Winners
Season | Winner | Runner Up | Playoff Winner |
---|---|---|---|
2019-20 | Coventry City | Rotherham United | Wycombe Wanderers |
2018/19 | Luton Town | Barnsley | Charlton Athletic |
2017/18 | Wigan Athletic | Blackburn Rovers | Rotherham United |
2016/17 | Sheffield United | Bolton Wanderers | Millwall |
2015/16 | Wigan Athletic | Burton Albion | Barnsley |
2014/15 | Bristol City | Milton Keynes Dons | Preston North End |
2013/14 | Wolverhampton Wanderers | Brentford | Rotherham United |
2012/13 | Doncaster Rovers | AFC Bournemouth | Yeovil Town |
2011/12 | Charlton Athletic | Sheffield Wednesday | Huddersfield Town |
2010/11 | Brighton & Hove Albion | Southampton | Peterborough United |
2009/10 | Norwich City | Leeds United | Millwall |
2008/09 | Leicester City | Peterborough United | Scunthorpe United |
2007/08 | Swansea City | Nottingham Forest | Doncaster Rovers |
2006/07 | Scunthorpe United | Bristol City | Blackpool |
2005/06 | Southend United | Colchester United | Barnsley |
2004/05 | Luton Town | Hull City | Sheffield Wednesday |
Average Number of Goals Scored in League 1 Stats
Season | Matches Played | Goals Scored | Average Goals per Game |
---|---|---|---|
2019/20 | 400 | 1044 | 2.61 |
2018/19 | 522 | 1462 | 2.65 |
2017/18 | 522 | 1401 | 2.54 |
2016/17 | 522 | 1417 | 2.57 |
2015/16 | 522 | 1457 | 2.64 |
2014/15 | 522 | 1464 | 2.65 |
2013/14 | 522 | 1473 | 2.67 |
2012/13 | 522 | 1367 | 2.48 |
Over the last 8 seasons, League 1 has seen an average of 2.6 goals per game. This is on par with the EFL Championship, which has averaged 2.61 goals per match, and is slightly lower than the Premier League, which has averaged 2.73 goals per match during the same period. If youāre wondering why less matches were played in 19/20 ā COVID-19 forced the season to end prematurely and final league standings were calculated via Points per Matchš.
League 1 Stats – Home/Away Goals & Win Percentage Stats (All Teams)
Season | Average Home Goals per Match | Home Wins (%) | Average Away Goals per Match | Away Wins (%) |
---|---|---|---|---|
2019/20 | 1.50 | 46% | 1.11 | 26% |
2018/19 | 1.43 | 42% | 1.22 | 32% |
2017/18 | 1.38 | 42% | 1.16 | 31% |
2016/17 | 1.46 | 45% | 1.11 | 27% |
2015/16 | 1.45 | 43% | 1.19 | 32% |
2014/15 | 1.41 | 40% | 1.24 | 33% |
2013/14 | 1.46 | 44% | 1.20 | 30% |
2012/13 | 1.34 | 40% | 1.13 | 33% |
Of course, as is the case in mosą½§t leagues, League 1 home teams tend to win more matches than away teams. There are numerous factors which contribute to this. The crowd is often cited as the biggest one, though the exact relationship between crowd size and home support remains unclear according to a study by . Other commonly mentioned factors include familiar surroundings, travel time, pitch size and referee bias.
League 1 Stats – Champions ā Points Stats
Season | Champions | Points | Points per Game | Runner Up Points |
---|---|---|---|---|
2019/20 | Coventry | 67 | 1.97 | 62 |
2018/19 | Luton Town | 94 | 2.04 | 91 |
2017/18 | Wigan Athletic | 98 | 2.13 | 96 |
2016/17 | Sheffield United | 100 | 2.17 | 86 |
2015/16 | Wigan Athletic | 87 | 1.89 | 85 |
2014/15 | Bristol City | 99 | 2.15 | 91 |
2013/14 | Wolverhampton | 103 | 2.24 | 94 |
2012/13 | Doncaster | 84 | 1.83 | 83 |
Excluding the COVID-hit š19/20 season, League one champions have averaged 95 points while the runners up have averaged 89.4 points. Using Coventryās points per game average of 1.97 in 2019/20, we can estimate that they would have finished the season wš¦¹ith a total of 91 points, while runners up Rotherham would have finished with 81 points.
League 1 Stats – Champions Home/Away Win Percentage
Season | Champions | Home Win Percentage | Home Total Points | Away Win Percentage | Away Total Points |
---|---|---|---|---|---|
2019/20 | Coventry | 64.7% | 38 | 41.18% | 29 |
2018/19 | Luton Town | 69.57% | 55 | 47.83% | 39 |
2017/18 | Wigan Athletic | 56.52% | 47 | 69.57% | 51 |
2016/17 | Sheffield United | 73.91% | 54 | 56.52% | 46 |
2015/16 | Wigan Athletic | 60.87% | 48 | 43.48% | 39 |
2014/15 | Bristol City | 69.57% | 53 | 56.52% | 46 |
2013/14 | Wolverhampton | 73.91% | 55 | 60.87% | 48 |
2012/13 | Doncaster | 43.48% | 35 | 65.22% | 49 |
In 6 of the last 8 seasons, the League One champions have picked up more points at home than on the roadąµ©. The biggest home tallies were amassed by Luton (18/19) and Wolves (13/14), who both got 55 points. Wigan Athletic picked up the most away points durinā±g the 2017/18 season when they got 51 points, amounting for a substantial 69.57% of their total points that year.
League One Stats – Champions Goals Stats
Season | Champions | Goals Scored | Goals per Game |
---|---|---|---|
2019/20 | Coventry | 48 | 1.41 |
2018/19 | Luton Town | 90 | 1.96 |
2017/18 | Wigan Athletic | 89 | 1.93 |
2016/17 | Sheffield United | 92 | 2 |
2015/16 | Wigan Athletic | 82 | 1.78 |
2014/15 | Bristol City | 96 | 2.08 |
2013/14 | Wolverhampton | 89 | 1.93 |
2012/13 | Doncaster | 62 | 1.35 |
League One champions have scored an average of 1.8 goals per game over the past 8 seasons. Doncasterās surprisingly low 1.35 average sticks out like a sore thumb here – they āonlyā found the net 62 times that year, 20 goals less than any other team who played a full season during this period. On the other hand, Bristol Cityās 96 goals works out to an average of 2.08 goals per game, the highest of all these teams.
League One Stats – Champions Defence Stats
Season | Champions | Goals Conceded | Goals Conceded per Game | Clean Sheets |
---|---|---|---|---|
2019/20 | Coventry | 30 | 0.88 | 14 |
2018/19 | Luton Town | 42 | 0.91 | 20 |
2017/18 | Wigan Athletic | 45 | 0.98 | 19 |
2016/17 | Sheffield United | 47 | 1.02 | 17 |
2015/16 | Wigan Athletic | 45 | 0.98 | 19 |
2014/15 | Bristol City | 38 | 0.83 | 20 |
2013/14 | Wolverhampton | 31 | 0.67 | 25 |
2012/13 | Doncaster | 44 | 0.96 | 16 |
Attack wins you games, defence wins you titles is the age-old saying. Indeed, the Leagueļ·½ 1 champions have an average of 0.91 goals per game in the last 8 seasons. The 2013/14 Wolves team, who set the record points tally in this division, boasted a solid dešfence to say the least. They shut out the opposition on 25 occasions and only conceded 31 goals in the process thatās season.
League One Stats – Most Points in a League 1 Season
Season | Team | Points |
---|---|---|
2013-14 | Wolverhampton Wanderers | 103 |
2011-12 | Charlton Athletic | 101 |
2016-17 | Sheffield United | 100 |
2014-15 | Bristol City | 99 |
2004-05/2017-18 | Luton Town/Wigan Athletic | 98 |
Wolves set the present record points tally for thź¦e English third division in 2013-14 when they finished the season with 103 points. They won 31, drew 10 and lost just 5 games during their League 1 campaign.
In doing so, Wolves surpassed the previous 103-point record set by Charlton Athletic in 2011-12. The āAddicksā won 30,ą¹ dreź¦Æw 11 and lost 5 games that year.
League 1 Stats – Playoffs
Every League one season,š the 3rd, 4th, 5th and 6th placed teams compeą¼te in a series of playoff matches to decide which team will be awarded promotion to the Championship.
Betāween 2012-13 to 2018-19, the average points needed to finish ź¦inside the playoff spots were the following:
Average points needed to finish 3rd: 85
Average points needed to finish 4th: 82
Average points needed to finish 5th: 77
Average points needed to finish 6th: 73
If we look through League 1 Playoff history, Sheffield Unitedšās 90 points during the 2011-12 šøseason is the highest achieved by a team that had to enter the playoffs (they subsequently lost). Conversely, Chesterfield reached the play-offs with just 69 points in 2014-15, the lowest in history, but failed to go on and win them.
League 1 Player Stats
These are theš” League one player stats that are most notabš¼le:
-
Englishman Ian Henderson scored the highest number of goals in League 1 history, finding the net 122 times in 401 appearšances.
-
Huddersfield striker Jordan Rhodes scored the highest numbeār of goals in a single League 1 season, with 36 šÆduring the 2011-12 season.
-
David Martinās 99 clean są¼ŗheets is the most recorded by any goalkeeper in League 1 history.
-
Dean Lewington has made the mā ost appearances in League 1 history, 503 at the time of writing.
-
Kwadwo Baah became the youngest goalscorer in the leagueās history when he scored for Rochdale at just 17š§ yearšøs, 10 months and 18 days of age in 2020.
-
Conversely, James Coppinger is the oldest player to have scored iź§n League 1. The right midfielder netted at 39 years, 9 months and 16 days of age in 2020.
English League One Stats FAQs
There is no sure-fire way to use statistics to base your betting game. Every punter must decide which stats are relevant and which arenātā; whatās important is to do your research and avoid making emotional decisions.
A total of 24 teams take part in League 1 every season.
Three teams will go up a division. The top finishers plus the team that wins the playoffs. The four teams that will contest the playoffs are the next highest four teams to finish in the league table.
Like a semi-final, the playoffs are played over two legs, one home, one away š„before a final is held in a neutral venue.
The League One playoff final will, like the League Two and Championship finals, take place at the world famous Wembley Stadium in London.
The three teams that finish on the bottom of the table will drop down a division next season.
Yes, three teams will be promoted from League Two and three teams will be relegated from the Championship.
ThePuntersPage Final Say
ź¦”While it may be the third division of professional football in England, the EFL League One still provides bettors with a whole host of great value ź¦betting opportunities over the course of a long season. Be sure to support your picks using data and as always, we wish you the best of luck!