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FAQs — CricRatings.com

Cricket ratings, rankings and awards — powered by an original, comprehensive scorecard-driven scoring system. A non-commercial project. These are not the ICC rankings. Raw scorecard reference source: ESPNcricinfo (Statsguru).

For fans & analysts
CricRatings evaluates performances using end-of-match scorecards. We do not use ball-by-ball data. And yes — runs scored and wickets taken matter. The model is anchored on core output (runs, wickets, innings totals, workload), then adjusts value using match context so that a flat-track 80 and a fourth-innings 80 don’t get treated like twins.
What is CricRatings.com?

CricRatings.com is a non-commercial, independent, proprietary cricket analytics platform built to reimagine how performances are evaluated using a comprehensive, scorecard-driven scoring engine.

What makes it different: CricRatings is built on a single consistent scoring backbone that is used to rank teams, players (by role), and individual match performances — systematically, at scale, across cricket history. In other words: we don’t just publish “a ranking”; we score performances, then build many ranking lenses from those scores.

Coverage includes men’s and women’s cricket across formats, and ratings for teams, batters, bowlers, fielders and overall players.

Are these the official ICC rankings?

No. These are not ICC rankings, not affiliated with ICC, and not published by ICC. ICC’s official rankings are available on icc-cricket.com/rankings.

CricRatings provides an independent, proprietary alternative perspective — and “Latest Ratings” is only one of several modules on the site.

What formats and competitions are covered?

We publish ratings for men’s and women’s cricket across major formats, including:

  • Tests
  • One-Day Internationals (ODIs)
  • T20 Internationals (T20Is)
  • Major T20 leagues (where supported on the platform)
What are the main modules on the site?

All modules are powered by the same scorecard-driven scoring engine, so the site can rank teams, players, and match performances using one consistent scoring backbone (then different aggregation lenses).

  • Latest Ratings: recency-weighted ratings (form lens; updated periodically).
  • All-Time Best: the most impactful teams/players across history (merit-based; no manual tweaks).
  • All-Time Performances: ranked archive of top individual match performances (context-heavy).
  • All-Time Ratings: top lifetime cumulative ratings for teams/players (career greatness lens).
  • Annual Awards: top performers in each calendar year since each format began.
  • Historical Ratings: year-end snapshots across history to track trends and era shifts.
  • Compare: compare up to three players across eras using one consistent scoring backbone.
  • News: curated aggregation of cricket news/videos from trusted sources (credited + linked).
What data do you use? Do you republish scorecards?

We use publicly available match scorecard data (principal reference: ESPNcricinfo Statsguru). We do not use proprietary or non-public data. We do not republish full scorecards; the site produces original analysis driven by structured match data.

Additional sources (e.g., Cricsheet, Cricbuzz) may be used very limitedly for validation. The site is not affiliated with or endorsed by ICC, ESPNcricinfo, Cricbuzz, or Cricsheet. All trademarks belong to their respective owners.

How often is CricRatings updated?

We don’t follow a fixed publishing calendar. In practice, we aim to refresh ratings at least once a quarter, and we’ll also push updates after major cricket blocks (for example: Australia’s Test season, England’s Test season, the IPL, and World Cups). Not every update will cover every format.

Planned update windows:

  • 16 Nov 2025
  • Around 15 Jan 2026 (All formats)
  • Around 15 Mar 2026 (Women T20Ls, Men T20Is)
  • Around 5 Jun 2026 (Men T20Is)
  • Around 15 Sep 2026 (Men Tests)
  • Around 15 Jan 2027 (All formats)
  • Around 15 Jan 2028 (All formats)
  • Around 15 Jan 2029 (All formats)
  • Around 15 Jan 2030 (All formats)
What makes CricRatings unique versus other cricket platforms?

Most cricket sites do at least one of these really well: official rankings, great archives, ball-by-ball, news, or traditional stats tables. CricRatings is different in what it tries to do with the data.

CricRatings is built around one consistent scoring backbone that systematically evaluates: (1) teams, (2) players by role, and (3) individual match performances — and then publishes multiple lenses (Latest, Annual, All-Time, Historical) derived from the same engine.

That “score performances first, then build rankings” approach is uncommon — and it’s the reason CricRatings can show team lists, player lists, and performance lists that still feel like they belong to the same universe.

Important note: this is an independent analytics lens, not an official authority. It is designed to complement official rankings and trusted archives.

Why should we trust CricRatings when we already have an existing ranking system? How does the CricRatings algorithm work (high level)?

First: ICC Rankings are excellent. They’re the official, globally recognized reference point for “who’s performing best right now” in each format. CricRatings is not here to replace that. We’re here to complement it with a different lens.

1) A quick history of ICC player rankings

The modern player-ratings idea goes back to the late 1980s, built to reflect current standing rather than lifetime averages. Over time, the rankings became widely followed, sponsor-branded in different eras (many fans remember the long PwC-sponsored period), and later became an official ICC-owned product with consistent publication and broad adoption.

2) So why does CricRatings exist if ICC Rankings already do the job?

Because they answer a slightly different question.

  • ICC Rankings: the official “form + standing” index — consistently providing public updates.
  • CricRatings: a performance-translation engine that tries to convert a match contribution into a comparable score across contexts, and then build not a single view but multiple different views from those scores (Latest, Annual, All-Time, era slices, role views, etc.).

CricRatings is the “deep-dive lens” that helps you explore why two players can be close on the scoreboard but different in context, role, match leverage, and era environment.

3) How CricRatings works (high level — detailed math lives in Methodology)

CricRatings starts from publicly available scorecard information and converts each innings (or match contribution) into a normalized performance score. Then it aggregates those scores into different site modules. For the full framework, see Methodology.

Step A — Build a base performance score

Each contribution is first translated into a base score (batting, bowling, fielding where applicable), without pretending that “runs are always the same” or “wickets are always the same.”

Step B — Apply context layers

  • Peer relativity: judged against what others managed in the same match/innings/conditions.
  • Opponent strength: stronger opposition influences the scoring context.
  • Match situation / leverage: impact under pressure is treated differently than impact in low-leverage phases.
  • Big-match importance: ICC events / knockouts / finals can carry extra weight as described in Methodology.
  • Home vs away: venue and conditions are incorporated.
  • Era benchmarking: performances are normalized vs era baselines to enable fairer cross-time comparisons.
  • + additional format/role layers documented in Methodology.

Step C — Normalize outputs to a common scale

After context adjustment, CricRatings normalizes the score so performances can be compared across matches and time windows.

Step D — Aggregate into the view you’re using

  • Latest Ratings: recency-weighted (recent performances matter more).
  • Annual / season views: time-sliced within a defined window.
  • All-Time: accumulation with longevity + consistency reflected over a career.
  • Historical / era lists: comparisons inside defined time ranges.
4) What “trust” means on CricRatings
  • Consistency: the same rules are applied across players and matches.
  • Transparency of intent: we clearly state what each module is trying to measure (Latest vs All-Time are not the same question).
  • Complementarity: ICC Rankings remain the official reference; CricRatings is an additional perspective for deeper exploration.

Want the full detail? The Methodology page is the source of truth — this FAQ is the readable overview.

How is CricRatings different from other platforms including ESPNcricinfo’s “Pressure Index” / Smart Stats?

We have great platforms like ESPNcricinfo and Cricbuzz who are amazing at what they do: news, ball-by-ball, editorial context, archives, and traditional stat views. CricRatings doesn’t seek to compete in that lane. Our vision is to drive macro contextual cricket insights normalized across eras, the kind of which we have not seen before.

1) About “Pressure Index” (and why it’s cool)

ESPNcricinfo’s Smart Stats includes a Pressure Index concept that quantifies match pressure ball-by-ball and uses it to weight the “quality” of runs in that situation. That’s a powerful micro-context lens. Please refer to ESPNcricinfo for more details.

3) How CricRatings differs from other ranking systems?
  • Data level: CricRatings is built primarily from scorecard-level match contributions (then enriched with context layers). Smart Stats / Pressure-style tools are typically ball-by-ball micro-models.
  • Output style: CricRatings focuses on multi-view rankings (Latest/Annual/All-Time/era slices) that stay comparable on one scale.
  • Scope: CricRatings is designed for broad cross-format and cross-time exploration (see Methodology for details).
3) The best way to use CricRatings

Use CricRatings when you want a context-normalized lens that lets you explore “Latest vs All-Time vs historical slices” consistently. One sport. Multiple lenses.

Do runs and wickets matter, or is this “context only”?

Runs and wickets are integral — they are the foundation. The difference is: CricRatings does not treat every run and wicket as equal. The model scores output and then weights it by difficulty and match leverage.

In plain cricket language: a pressure 60 in a chase, or a burst that turns 40/0 into 45/3, gets rewarded more than the same numbers in an effectively sealed game.

What makes a performance “outstanding” in your scoring?

A lot of things feed the score, but three recurring criteria show up in top-rated performances:

  • Fourth-innings runs & first-innings wickets: fourth-innings chases amplify pressure; first-innings wicket bursts often define the match’s shape.
  • Big-match performance: World Cups, ICC events, finals/knockouts, and decisive games have higher leverage in the model.
  • Innings situation value: “5/3”, “20/2”, “80/5” rescue jobs, collapse control, counter-attacks when the game is sliding — these contexts materially change the value of runs/wickets.

While context and the above criteria are super-immportant, lots of runs and lots of wickets also do matter!

Do you use ball-by-ball data?

No. The model uses end-of-match scorecards and derived match context. This makes the framework more consistent across eras and competitions. It also means we don’t model micro-events like phase-by-phase intent or dot-ball pressure directly.

How do you handle missing balls-faced data in older eras?

Where balls-faced (or similar detail) is unavailable for older eras, we model strike-rate context using the best available scorecard-era signals and normalization benchmarks. The goal is fairness across time without pretending the data is equally rich everywhere.

How do you categorize players (batting/bowling/fielding roles)?

We provide ratings and also segment players into sub-categories for analysis. Examples:

  • Batters: batting hand, batting position
  • Bowlers: bowling hand, bowling style, bowling position/role
  • Fielders: fielder vs wicketkeeper vs mixed roles
  • Players: pure batters, pure bowlers, batters who bowl, bowlers who bat, batters who keep, wicketkeepers, all-rounders

We treat “all-rounders” as players who contribute meaningfully with bat + ball (or bat + wicketkeeping). We don’t force a separate all-rounder universe — we model it as a player category with sub-categories.

Can I scrape, reuse, or republish your rankings?

Personal browsing is fine. Systematic scraping to clone the service is not. Reusing our ratings/rankings to build a competing product is not allowed. Reverse-engineering non-public parts of the service is not allowed.

CricRatings.com is a registered trademark and belongs to rralists.com and its owner. Unauthorized copying, distribution or use is prohibited.

Where can I report issues or send feedback?
What do CR / CRR / avgCR and the short stats mean?

Below are the most common abbreviations shown on the site for context. These are not intended to replace full stat pages, and we don’t guarantee every stat field is perfect across all sources/eras.

Section Abbreviation Meaning
GeneralCRRCricRatings.com ranking or rating (rank position / rating view)
GeneralCRCricRatings.com score / points (model output score)
GeneralavgCRAverage CricRatings score
TeamsMMatches played
TeamsWWins
TeamsWPMWin percentage
PlayersMMatches played
PlayersBaABatting average
PlayersBaSRBatting strike rate
PlayersBoABowling average
PlayersBoSRBowling strike rate
BattersRRuns
BattersAAverage (runs per dismissal)
BattersSRStrike rate
BowlersRRuns conceded
BowlersWWickets
BowlersAAverage (runs per wicket)
BowlersSRStrike rate (wickets per ball)
BowlersEREconomy rate (runs per over)
FieldersCt/StFielding dismissals: caught + stumped
FieldersFPMFielding dismissals per match