Catler

Catler — CS2 Stats

MK76561198210925004[U:1:250659276]Steam profile ↗✓ No bans

1,206Tracked matches64%Win rate2020Tracked since
CSDB Rating5.5 SolidAll-Rounder
Premier CS Rating19,767Top 50% of 215,248 CSDB-tracked playersPurple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#90431 of 261485 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,767 +3,591 24 Jul – 13 Nov · 43 days played
16,17621,484peak 21,48424 Jul13 Nov
21,582Peak Premier in tracked matches
38Days played since 2026-07-24

Premier CS Rating

  • 1,717 below peak (21,484)
  • -272 over 30 days · steady
  • -1,360 over 90 days
  • Next: Pink band at 20,000 — 233 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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

Share this profile

CSDB.GGCatlerFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,767 · Purple bandcsdb.gg/stats

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Performance scores

Aim47
Positioning55
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY57–38–5Last 10057%Win rateWWLWWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −5.2pp headshot accuracy · +71ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 558ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 630ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 595ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.7
Utility5.5
Positioning5.5
Opening Duels3.4

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

ZywOo

Plays most like ZywOo 73% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 59% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.7
Positioning5.5
Utility5.5
Mechanics4.8
Opening Duels5.1
Win Impact9.8

Composite 5.5/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time595ms−9ms
first ⅓ avg 604ms → last ⅓ avg 595ms
Headshot accuracy14.6%+1.9%
first ⅓ avg 12.6% → last ⅓ avg 14.6%

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

0.11Best match rating · 13–6 · inferno, 4 Aug →
31%Best headshot accuracy · 16–13 · cache, 21 Aug →
422msFastest reaction time · 7–13 · anubis, 10 Oct →
13–1Biggest win · cache, 4 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
14–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 68% over 19ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoS2718–967%0.01
cacheS1913–668%-0.01
anubisS1812–667%0.00
ancientD155–1033%-0.00
nukeC73–443%0.01
mirageC52–340%0.03
dust2C52–340%-0.02
debris—21–150%-0.06
eldorado—10–10%-0.17
poseidon—11–0100%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

322Matches
52%Win rate
1.06Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

14.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
36.3%Spray accuracy
71.6%Counter-strafing
12.3°Preaim
585msReaction time
59.0%T opening success
41.5%CT opening success
0.55Enemies flashed / flash
5.0%Flash assists
11.13HE damage / grenade
6.54Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2815° — above the 12° mark we flag

    Aim Training →
  2. 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 14.146% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.029%13 Nov →
inferno13–110.0215%13 Nov →
anubis9–13-0.0112%13 Nov →
inferno13–11-0.044%13 Nov →
inferno13–70.0413%13 Nov →
mirage5–130.0410%7 Nov →
cache13–5-0.0216%7 Nov →
dust26–13-0.0220%7 Nov →
ancient2–13-0.140%7 Nov →
mirage7–130.0116%10 Oct →
inferno13–70.1114%10 Oct →
anubis7–13-0.0510%10 Oct →
mirage15–150.0112%10 Oct →
anubis13–50.1011%9 Oct →
dust213–9-0.0117%9 Oct →
inferno13–110.0010%7 Oct →
nuke6–130.0424%7 Oct →
debris9–30.0418%4 Oct →
anubis13–40.0827%4 Oct →
cache13–10-0.0824%4 Oct →
inferno13–6-0.0217%3 Oct →
cache13–40.0128%3 Oct →
mirage13–6-0.0020%3 Oct →
cache13–100.038%25 Sept →
eldorado3–9-0.1713%23 Sept →
poseidon9–4-0.0618%23 Sept →
debris1–9-0.1714%23 Sept →
inferno15–15-0.039%19 Sept →
ancient8–130.0315%19 Sept →
anubis4–13-0.0520%18 Sept →
anubis13–10-0.0215%18 Sept →
ancient9–130.0211%16 Sept →
inferno13–10-0.0113%16 Sept →
nuke13–100.0314%11 Sept →
nuke8–130.0622%10 Sept →
inferno6–13-0.0714%10 Sept →
dust24–13-0.0713%8 Sept →
cache4–13-0.0420%8 Sept →
ancient15–15-0.0112%8 Sept →
ancient13–60.0511%6 Sept →
cache13–10.0925%4 Sept →
inferno13–16-0.0515%4 Sept →
nuke9–13-0.0413%30 Aug →
ancient5–13-0.0424%30 Aug →
inferno8–13-0.0115%29 Aug →
inferno13–10-0.038%29 Aug →
ancient7–130.017%29 Aug →
cache13–60.0617%28 Aug →
dust210–13-0.058%28 Aug →
anubis13–30.0412%28 Aug →
ancient11–13-0.0316%28 Aug →
ancient11–130.0126%27 Aug →
cache5–13-0.0122%27 Aug →
anubis13–50.0515%27 Aug →
cache6–13-0.0918%23 Aug →
cache16–13-0.0431%21 Aug →
anubis13–11-0.0118%13 Aug →
inferno6–130.0618%11 Aug →
anubis15–15-0.0711%9 Aug →
anubis16–14-0.016%9 Aug →
ancient13–110.0714%8 Aug →
ancient13–9-0.026%7 Aug →
anubis13–11-0.009%7 Aug →
cache13–6-0.0118%7 Aug →
inferno13–20.0611%7 Aug →
mirage13–40.087%6 Aug →
inferno13–110.058%6 Aug →
nuke4–130.0214%4 Aug →
ancient13–8-0.0513%4 Aug →
anubis13–70.0413%4 Aug →
inferno13–60.1113%4 Aug →
cache13–6-0.055%4 Aug →
nuke13–110.0010%3 Aug →
ancient11–13-0.0210%3 Aug →
cache7–13-0.0017%3 Aug →
inferno10–13-0.015%30 Jul →
inferno13–60.017%30 Jul →
inferno14–16-0.0217%29 Jul →
anubis13–90.0725%29 Jul →
anubis11–13-0.0619%29 Jul →
cache13–9-0.0315%28 Jul →
cache15–15-0.0221%28 Jul →
anubis13–10-0.0512%28 Jul →
inferno13–110.0816%27 Jul →
ancient8–130.0110%27 Jul →
inferno10–13-0.018%27 Jul →
cache13–11-0.017%26 Jul →
cache7–13-0.057%26 Jul →
inferno13–11-0.0314%26 Jul →
inferno13–60.029%26 Jul →
inferno13–4-0.0415%26 Jul →
cache13–20.0714%26 Jul →
anubis12–160.0315%25 Jul →
ancient13–110.0215%25 Jul →
inferno10–13-0.0215%25 Jul →
nuke13–4-0.0310%25 Jul →
anubis13–110.0118%25 Jul →
inferno13–100.057%24 Jul →
dust213–50.0513%24 Jul →
inferno13–60.099%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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