If you have ever opened a match page on a betting platform and stared at a wall of numbers with no idea where to start, the 1Win statistics and form widgets are built exactly for you. This 1Win review walks through the practical side of those tools: where they live, how to open them, and how to bend the filters so the data actually answers the question you are asking. 1Win sports betting covers football, tennis, basketball, hockey, esports and more, and every event page carries its own set of form widgets. The trick is knowing which ones matter before you place a wager.
We will start with the navigation path, because the statistics tab is not always where newcomers expect it. From there we move to the filters that let you isolate home and away records, then narrow the sample to the last 5 or last 10 matches. That combination is what separates a casual guess from a read on real team form. You will also see how the widgets behave on different sports, since a tennis widget and a football widget do not tell the same story.
One honest caveat up front: the platform does not offer a data export. Anything you want to keep, you record yourself. That sounds like a chore, and it is, but it also forces you to think about which numbers you are actually tracking. By the end of this guide you will know the exact clicks, the filter logic, and a simple manual routine that keeps your notes useful instead of overwhelming.
Understanding 1Win Statistics and Form Widgets
1Win set up shop in 2016 and now runs one of the busier betting platforms on the market, licensed by Curaçao and operated by MFI investments Ltd. Most people come for the welcome bonus of +500% on deposit or the 14,000+ slots, but the sportsbook side has a quieter feature that regulars lean on hard: the statistics and form widgets attached to every match page. If you bet on football, tennis, basketball or hockey, these widgets are the difference between guessing and actually knowing what you are looking at.
So what are they? Open any upcoming or live match on the 1Win sportsbook and you get a panel of numbers pulled together from historical results. Form widgets show you how each team or player has performed across a set number of recent games: wins, draws, losses, goals scored, goals conceded, and the sequence of those results. Statistics widgets go wider. Depending on the sport, you might see head-to-head records, average goals per match, clean sheets, over/under trends, home versus away splits, and for individual sports like tennis, service hold percentages and break point conversion. It is not raw play-by-play data. Think of it as a digest, pre-chewed and laid out so you can scan it in under a minute.
Why does that matter for your wagers? Because odds are built on probabilities, and probabilities are built on form. A team sitting at 1.40 to win looks very different once you notice it has lost three of its last five away games and conceded in every one. The widgets do not tell you who wins. They tell you whether the price on offer makes sense. That is the whole game with 1Win sports betting: you are not hunting for tips, you are checking whether the market has priced a team correctly. Form data is your sanity check.
The widgets also slot neatly into the wider 1Win ecosystem. You can pull up a match on the mobile betting app, check the last 10 results filter, place your wager, and move on, all without leaving the platform. The same account covers the 1Win casino and its 500+ live dealer games, so if the numbers talk you out of a bet, you are one tap from somewhere else to spend the evening. Cashback up to 30% softens the blow when the form data lets you down, which it will sometimes. Numbers reduce guesswork; they do not remove variance.
One thing worth knowing before you dive in: the statistics tab is a reading tool, not a research database. There is no export, no CSV, no saved history. Whatever you want to track over time, you note down yourself. More on that in the later sections, but keep it in mind from the start. Treat the widgets as a quick pre-bet briefing rather than a long-term analytics suite.
Step-by-Step: Accessing the Statistics Tab on a Match Page
Getting to the form widgets takes about fifteen seconds once you know the route. The path is the same whether you are on desktop or inside the 1Win mobile betting app for iOS and Android, and it never changes between sports. You need a funded account, a match, and two clicks.
Start by logging in and opening the sportsbook. In the left-hand menu (or the bottom bar on mobile), pick Sports or Live depending on whether you want pre-match or in-play data. Choose a sport, then a league, then the specific fixture. Do not use the quick bet slip shortcut here; it skips the match page entirely and drops you straight into odds selection.
- Log into your 1Win account. The platform was founded in 2016, is licensed by Curaçao, and is owned by MFI investments Ltd, so the interface is consistent across regions.
- Open the sportsbook from the main navigation.
- Drill down: sport, country, league, fixture. For football, tap the league table icon next to the competition name to jump straight to standings, then click the match.
- You land on the match page. Above the odds grid you will see tabs: Main, Statistics, Lineups (where available), and sometimes H2H.
- Click Statistics. The form widgets load in place of the odds grid.
What appears is a set of visual blocks: recent results as W/D/L chips, goals scored and conceded per match, average corners, cards, and possession where the data feed supports it. Each block is tied to the filter row sitting directly above it, which is where the real work happens.
A few practical notes. First, the Statistics tab only populates for leagues with a live data feed. Top-tier football, basketball, tennis, and hockey are covered; niche markets such as lower-division regional leagues often show an empty tab. If you see nothing, the feed is missing, not broken.
Second, on mobile the tab bar can sit below the fold. Scroll past the team names and the 1X2 odds until the tabs appear. The widgets are responsive, so the same numbers render in a single column instead of a grid.
Third, you can reach a match page directly from the search bar by typing a team name. That is faster than clicking through five menu levels, and it works identically for 1Win sports betting on desktop and in the app.
One trade-off worth knowing: the Statistics tab reflects pre-match data. Once a game goes in-play, the widgets stop updating and you are reading the same form snapshot you saw an hour earlier. For live wagers, cross-check with the live scoreboard and the odds movement instead of trusting the widget numbers alone. The 1Win odds themselves shift faster than the form data ever will, which is exactly why the widgets are a pre-match tool and not a live one.
Filtering Match Data by Home/Away and Last 5/10 Matches
Once you are on the Statistics tab of a match page, the real work begins with the filters. 1Win does not drown you in options here, and that is a good thing. You get two core controls: a venue filter (home, away, or all matches) and a sample-size filter (last 5 or last 10 matches). 1win free spins offers additional context worth reviewing. Both teams in the fixture get their own set of widgets, so you can compare the home side’s home form against the away side’s away form without leaving the page.
Start with the venue filter. If you are looking at a Premier League fixture and the home team has lost three of its last four away games but won five straight at home, the “all matches” view hides that split. Switch to “home” for the host and “away” for the visitor, and the numbers suddenly tell a different story. This is the single most useful click on the page, and it takes about two seconds.
The sample-size filter works on top of that. Last 5 matches gives you a snapshot of current momentum: new signings, a change of manager, a striker who just found form. Last 10 matches smooths out the noise and shows the underlying trend. In practice, sharp bettors check both. If a team looks strong over 10 but weak over 5, something changed recently, and the odds may not have caught up yet.
What Each Filter Combination Actually Tells You
The table below maps the four realistic combinations to what they reveal and where they can mislead you. Use it as a quick reference before you place a wager.
| Filter Combination | Best Used For | Watch Out For |
|---|---|---|
| Home + Last 5 | Spotting a hot streak at a specific ground, useful for 1X2 and Asian handicap markets | Small sample, one lucky win can inflate the picture |
| Away + Last 5 | Judging how a traveling side handles hostile crowds right now | Fixture difficulty varies wildly across five games |
| Home + Last 10 | Establishing a reliable baseline for a team’s true home strength | Stale data if the squad changed in the last month |
| Away + Last 10 | Long-run road form, good for correcting inflated home odds | Blends early-season and current form into one number |
| All matches + Last 10 | Overall trend when venue splits are not statistically meaningful | Hides home/away bias completely |
Two habits make these filters far more valuable. First, always compare the same combination across both teams. Comparing a home side’s home form against a visitor’s overall form is an apples-to-oranges mistake. Second, cross-check the form widgets against the odds board. If a team shows four wins in its last five home games but is priced at 2.50 to win, the market is telling you something the form guide is not, usually an injury or a rotation risk.
Filtering is quick, free, and built into every match page, so there is no reason to skip it. The widgets will not hand you a winning bet on a plate, but they strip out the guesswork around venue and momentum, which is exactly where most casual wagers go wrong.
Limitations: No Export Option and the Need for Manual Note-Taking
Here is the part of the 1Win review that nobody enjoys writing, but every serious bettor eventually runs into: the statistics widgets are read-only. There is no CSV download, no “export to Excel” button, no API hook, and no copy-to-clipboard shortcut for the form tables. You can look at the numbers on the match page, and that is it. If you want a record of them, you build it yourself.
What This Means in Practice for Your Betting Routine
The friction is not dramatic, but it compounds. A single match page might show you home and away form across the last 5 and last 10 fixtures, goals scored and conceded splits, and recent head-to-head results. That is genuinely useful data. The problem is that it disappears the moment you navigate away, and the filters reset when you come back. There is no saved view, no pinned team, no history of the filters you applied yesterday.
So the workflow becomes manual by default. Open the statistics tab, set your filters, and transcribe what matters into a spreadsheet, a notes app, or a paper notebook. For a handful of matches per week this is fine. For anyone tracking 20 or 30 fixtures across multiple leagues, it turns into a real time cost, and time cost is exactly what kills consistency.
A few practical workarounds that experienced users tend to settle on:
- Screenshot and tag. Capture the widget panel and store images in dated folders. Fast, but you cannot sort or calculate on a screenshot.
- Standardise your columns. Pick fixed fields such as team, venue, last 5 W/D/L, goals for, goals against, and stick to them. Mixed formats make later analysis useless.
- Log the filter state. Note whether the data was home-only, away-only, or combined, and whether it covered 5 or 10 matches. Without this, two rows of numbers can look identical while meaning completely different things.
- Record odds at the same time. The price you saw is part of the picture. A form trend without the odds attached tells you nothing about value.
The implications for bettors are worth being blunt about. Manual note-taking introduces transcription errors, and it introduces selection bias, because people tend to write down the stats that support the bet they already want to place. It also slows down live betting, where the window to act on a trend is measured in seconds, not minutes. If your strategy depends on reacting quickly to in-play form shifts, the lack of export is a genuine handicap.
On the other side, the constraint forces a certain discipline. Anyone who maintains a hand-built database of team form over a full season ends up with something more tailored than a generic export would have given them, because they chose the fields. That is a real upside, but it is an upside you pay for with hours.
Worth noting that the rest of the platform does not share this limitation. Deposits, withdrawals, wager history, and cashback are all tracked automatically in your account, and the mobile apps for iOS and Android handle those records fine. It is specifically the statistics and form widgets that stay analogue. Plan your tracking method before you start, not after you have 40 matches of unlabelled screenshots.
Before you log out, pick one upcoming fixture in a league you actually follow and run the full routine once: open the match page, hit the Statistics tab, switch the filter to away matches and last 10, then write the four or five numbers that matter most to you into a notes file. Do this for a week and you will have a small personal database that no widget can hand you, because the platform does not export the data for you. Pair those notes with the price movement you saw on the odds and you start spotting the spots where the market and the form disagree, which is exactly where value tends to hide.
The widgets are a reading tool, not a tipping service. Treat them as one input alongside team news, travel, and motivation, and size your wagers so a bad week does not wipe the bankroll. If you are new to the platform, keep the first deposits small, the minimum is only 0.5 $, clear the account verification early so withdrawals are not delayed, and lean on the welcome bonus and cashback while you learn the interface. Bookmark the match pages you check most often, and revisit them on mobile through the 1Win app when a line moves mid-week. Form shifts fast, so the bettor who updates their notes every few days usually reads a fixture better than the one who checks once a month.
