AB

AB — CS2 Stats

76561197962513608[U:1:2247880]Steam profile ↗✓ No bans

532Tracked matches43%Win rate2020Tracked since
CSDB Rating3.2 LearningSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,444 -334 17 Jun – 11 Jan · 25 days played
10,96613,945peak 13,94517 Jun11 Jan
13,945Peak Premier in tracked matches
43Days played since 2025-06-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim26
Positioning39
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY41–58–1Last 10041%Win rateLWLLWLLLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +2.8pp headshot accuracy · +23ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim2.6
Utility5.3
Positioning3.9
Opening Duels1.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 64% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.6
Positioning3.9
Utility5.3
Mechanics2.3
Opening Duels1.8
Win Impact2.8

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time621ms−79ms
first ⅓ avg 700ms → last ⅓ avg 621ms
Headshot accuracy14.5%+2.1%
first ⅓ avg 12.4% → last ⅓ avg 14.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.09Best match rating · 13–4 · inferno, 21 Apr →
26%Best headshot accuracy · 15–15 · nuke, 25 Jul →
438msFastest reaction time · 11–6 · cache, 18 Oct →
13–0Biggest win · overpass, 17 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 52% over 25ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%-0.03
nukeB2412–1250%-0.03
mirageC166–1038%-0.03
overpassD134–931%-0.05
ancientD113–827%-0.05
cache—42–250%-0.01
train—41–325%-0.05
anubis—20–20%-0.01
dust2—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy
26.1%Accuracy (enemy spotted)
30.0%Spray accuracy
60.5%Counter-strafing
10.8°Preaim
622msReaction time
27.7%T opening success
44.5%CT opening success
0.56Enemies flashed / flash
2.4%Flash assists
7.64HE damage / grenade
7.85Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.4319% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.7287% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0412%24 Oct →
nuke13–100.0118%24 Oct →
dust28–13-0.0312%24 Oct →
cache10–13-0.0422%18 Oct →
cache11–6-0.0120%18 Oct →
mirage4–13-0.0524%18 Oct →
cache7–13-0.069%13 Oct →
mirage6–13-0.079%13 Oct →
nuke13–3-0.0325%13 Oct →
cache13–30.0716%9 Oct →
anubis6–13-0.0313%9 Oct →
nuke5–13-0.058%12 May →
anubis7–130.0113%12 May →
inferno5–13-0.014%12 May →
nuke10–1-0.0120%4 May →
inferno13–3-0.0417%4 May →
ancient13–10-0.0215%30 Apr →
inferno11–13-0.1118%30 Apr →
nuke13–10-0.0720%21 Apr →
inferno13–40.0911%21 Apr →
mirage13–30.0317%6 Apr →
nuke10–13-0.054%6 Apr →
inferno13–100.0224%11 Jan →
nuke10–13-0.0215%11 Jan →
inferno13–4-0.0115%11 Jan →
inferno13–8-0.0211%7 Jan →
overpass8–13-0.098%7 Jan →
nuke11–13-0.0016%7 Jan →
ancient7–13-0.0615%6 Jan →
train9–13-0.079%6 Jan →
mirage11–13-0.054%2 Jan →
inferno8–13-0.0424%2 Jan →
overpass6–13-0.0914%30 Dec →
mirage9–130.029%30 Dec →
mirage12–16-0.0412%21 Dec →
inferno13–11-0.0620%21 Dec →
inferno13–9-0.067%15 Dec →
ancient13–6-0.0316%13 Dec →
nuke13–3-0.046%13 Dec →
mirage13–11-0.0117%11 Dec →
nuke6–13-0.068%11 Dec →
overpass4–13-0.0713%11 Dec →
overpass6–13-0.0715%11 Dec →
mirage14–16-0.0311%8 Dec →
inferno13–40.0110%23 Nov →
nuke2–13-0.0414%23 Nov →
ancient11–13-0.043%22 Nov →
nuke13–16-0.0111%22 Nov →
inferno13–9-0.018%17 Nov →
nuke13–70.0313%17 Nov →
overpass13–00.0219%17 Nov →
nuke13–9-0.0114%13 Nov →
inferno4–13-0.0712%13 Nov →
overpass9–13-0.0811%13 Nov →
inferno13–11-0.0121%10 Nov →
mirage6–13-0.0411%10 Nov →
inferno6–13-0.066%10 Nov →
inferno11–13-0.044%8 Nov →
mirage13–10-0.0412%8 Nov →
ancient13–6-0.0112%8 Nov →
mirage9–13-0.0311%3 Nov →
overpass9–13-0.0215%3 Nov →
ancient6–13-0.1312%20 Aug →
inferno9–13-0.0119%20 Aug →
train5–13-0.0410%20 Aug →
inferno16–14-0.0220%15 Aug →
nuke13–60.0426%15 Aug →
inferno13–5-0.059%12 Aug →
overpass13–6-0.0315%12 Aug →
inferno11–13-0.0615%7 Aug →
nuke13–10-0.0212%7 Aug →
inferno4–13-0.0824%7 Aug →
ancient7–13-0.0520%2 Aug →
inferno6–13-0.076%2 Aug →
nuke7–13-0.0912%2 Aug →
nuke15–15-0.0326%25 Jul →
nuke7–13-0.0412%25 Jul →
mirage13–11-0.043%24 Jul →
overpass7–13-0.067%24 Jul →
mirage13–100.0416%24 Jul →
inferno13–3-0.0210%22 Jul →
overpass9–13-0.0010%22 Jul →
mirage13–5-0.0411%21 Jul →
overpass13–10-0.0316%21 Jul →
inferno9–13-0.059%21 Jul →
nuke13–3-0.046%18 Jul →
train13–9-0.058%18 Jul →
overpass7–13-0.0715%18 Jul →
inferno11–130.0113%17 Jul →
overpass16–14-0.049%17 Jul →
nuke13–6-0.0114%11 Jul →
ancient5–13-0.0914%8 Jul →
nuke13–11-0.0912%24 Jun →
nuke10–13-0.0014%24 Jun →
ancient12–16-0.0510%24 Jun →
mirage6–13-0.0210%21 Jun →
train6–13-0.0611%21 Jun →
ancient10–13-0.0211%19 Jun →
nuke5–13-0.1023%19 Jun →
mirage8–13-0.047%17 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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