Find out from our stats which England Lea𓂃gue One teams have yielded the biggest profit and which 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 the latest free bet offers!
England League One Stats Table
Overall
Home
Away
INFO
To find these stats faster next time, search “🌃TPP English League One Profit & Loss Stats” on Google. If the stats on this page have not updat💧ed, then please .
England League One Profit & Loss Stats
The purpose of our England League One Profit & Loss tables is to see how much each team would have returned had you backed them to win every game with £10 level stakes. You can then spot,⛄ at a glance, who has been providing the best val🌸ue over the course of the campaign.
The table below ranks all 24 League One sides based on profitability (#1 being most profitablꦡe).
You can select (using the tabs) to see data based on ‘Overall‘ results (Home & Away form combined), ‘Home‘ results (home form only) and ‘Away‘ resu♌lt🐷s (away form only). The data is updated every day.
Key
-
P/L –🐭 Total profit or loss if £10 was staked on this team to win every ga🌳me.
-
ROI (Return On Investment) – Total profit or loss as a % of 🌞total stakes if £10 was staked on this team to win every game.
Important: If the sta🌠🍒ts 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 £10 stakes using odds from bet365. The data is then added to🎃gether cumulatively throughout the season to give the total profit or loss each team would gave generated.
ROI (Return On Investment) is calculated by dividing t♏he total Profit/Loss 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 we’ve identified as being valuable for punters. Of course, you’ll have 𒉰ಞto 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 you’re wondering why less matches were played in 19/20 – COVID-19 forced the season 🐭to end prematurely and final league standings were calculated via Points p🌳er Match.
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 most 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 – 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 19/20 season, League one champions have averaged 95 points while the runners up have averaged 89.4 points. Using Coventry’s points per game average of 1.97 in 2019/20, we can estimate that they would have finished the 🅺season with 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 ho💟me than on the road. 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 during 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. Doncaster’s surprisingly low 1.35 average sticks out like a sore thumb here – they “only” 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 City’s 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 League 1 champions have an average of 0.91 goals per g🌱ame in the last 8 seasons. The 2013/14 Wolves team, who set the record points tally in this division, boasted a solid defence to say the least. They shut out the opposition on 25 occasions and only conceded 31 goals in the process that’s seaso🦂n.
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 the English third division in 2013-14 when they finished the season with 103 ꦬpoints. They won 31, drew 10 and lost jus🧔t 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 “Addicks” won 30, drew 11 and lost 5 games that yea🌳r.
League 1 Stats – Playoffs
Every League one season, the 3rd, 4th, 5th anꦆd 6th placed teams compete in a series of playoff matches♊ to decide which team will be awarded promotion to the Championship.
Between 2012-13 to 2018-19, the average points needed to finish inside 🍸the plaꦇyoff 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 United’s 90 points during the 2011-12 season 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 the League one player sta༒ts that are most notable:
-
Englishman Ian Henderson scored the highest number of goals in Le༒ague 1 history, finding the net 122 times in 401 appearances.
-
Huddersfield striker Jordan Rhodes scored the 𓃲highest numbe♊r of goals in a single League 1 season, with 36 during the 2011-12 season.
-
David Martin’s 99 clean sheets is the most rec🐓orded by any goalkeeper in League 1 history.
-
Dean Lewington has made the most appearances🐻 in League 1 history, 503 at the time of writing.
-
Kwadwo Baah ཧbecame the youngest goalscorer in the league’s history when he scored for Rochdale at just 17 years, 10 months and 18 days🙈 of age in 2020.
-
Conversely, James Coppinger is the oldest player to have scored in 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 aren’t’; what’s 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 before a final is held in a neutralꦬ 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
๊ 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 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!