The Cat in the Cat

The Cat in the Cat — CS2 Stats

76561198996336025[U:1:1036070297]Steam profile ↗✓ No bans

53Tracked matches80%Win rate2024Tracked since
CSDB Rating6.3 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim70
Positioning61
Utility38

0–100 skill scores via Leetify.

Recent form

HOT40–11–2Last 5375%Win rateWWWWLWWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · −124ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 605ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 501ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 563ms

Newest first, from the last 53 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.0
Utility3.8
Positioning6.1
Opening Duels4.6

Strong CT-side opener

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

donk

Plays most like donk 90% 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 66% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.0
Positioning6.1
Utility3.8
Mechanics6.0
Opening Duels4.6
Win Impact10.0

Composite 6.3/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time561ms−0ms
first ⅓ avg 561ms → last ⅓ avg 561ms
Headshot accuracy22.7%+2.5%
first ⅓ avg 20.2% → last ⅓ avg 22.7%

Rolling 5-match average across the last 53 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.20Best match rating · 13–0 · ancient, 29 Jul →
60%Best headshot accuracy · 3–13 · dust2, 30 May →
367msFastest reaction time · 8–0 · nuke, 14 Apr →
13–0Biggest win · ancient, 29 Jul →

Across the last 53 tracked matches.

Highlights

11Longest win streak
W4Current streak
4–2In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 9grailWeakest map · 60% over 5
MapGradePlayedRecordWin rateAvg rating
nukeS96–367%0.01
mirageA85–363%-0.02
grailA53–260%-0.02
overpass—44–0100%0.02
ancient—43–175%0.00
dust2—43–175%-0.01
inferno—42–250%-0.01
vertigo—44–0100%0.10
train—33–0100%0.01
anubis—21–150%-0.01
jura—22–0100%0.10
boulder—11–0100%0.03
italy—11–0100%0.11
basalt—11–0100%0.02
edin—11–0100%-0.01

Across the last 53 tracked matches.

Skill profile

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

24.2%Headshot accuracy
31.6%Accuracy (enemy spotted)
31.2%Spray accuracy
76.8%Counter-strafing
9.4°Preaim
564msReaction time
31.4%T opening success
65.6%CT opening success
0.61Enemies flashed / flash
7.4%Flash assists
7.51HE damage / grenade
10.49Flashes / 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

    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 31.3942% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
overpass13–5-0.0223%9 Jul →
boulder13–80.0337%9 Jul →
mirage13–110.0628%17 Feb →
nuke13–30.028%30 Nov →
ancient3–13-0.0918%30 Nov →
ancient13–4-0.0520%4 Nov →
nuke13–3-0.0222%4 Nov →
mirage13–100.0524%2 Nov →
mirage0–3-0.070%25 Oct →
dust213–40.0744%25 Oct →
train13–6-0.0216%24 Oct →
dust213–3-0.0140%24 Oct →
nuke8–13-0.0121%23 Sept →
nuke7–1-0.0727%23 Sept →
inferno13–11-0.029%17 Sept →
anubis13–50.0624%29 Jul →
mirage13–80.0225%29 Jul →
ancient13–00.2029%29 Jul →
mirage1–6-0.060%1 Jul →
jura13–30.0613%1 Jul →
vertigo6–20.0527%1 Jul →
train13–9-0.0240%27 Jun →
dust213–2-0.0523%27 Jun →
grail13–2-0.0318%22 Jun →
mirage13–8-0.0243%22 Jun →
vertigo13–30.1232%17 Jun →
grail7–13-0.0421%17 Jun →
nuke13–10.0211%17 Jun →
inferno4–6-0.0233%8 Jun →
jura13–30.1413%8 Jun →
mirage7–13-0.0915%8 Jun →
overpass13–20.1129%8 Jun →
inferno13–30.0421%8 Jun →
anubis0–2-0.080%30 May →
dust23–13-0.0660%30 May →
nuke12–120.0120%30 May →
grail13–11-0.0223%30 May →
nuke12–12-0.056%12 May →
overpass13–4-0.0318%12 May →
grail13–10.0338%12 May →
grail2–13-0.0429%12 May →
ancient8–4-0.0524%12 May →
mirage13–9-0.0535%6 May →
italy7–00.1112%6 May →
basalt12–10.0217%6 May →
edin13–7-0.0120%6 May →
nuke8–00.1917%14 Apr →
vertigo13–40.0317%14 Apr →
overpass13–30.010%5 Apr →
vertigo13–50.1829%5 Apr →
nuke13–11-0.0117%5 Apr →
train13–50.0831%3 Feb →
inferno0–13-0.0413%14 Dec →

Match data via Leetify.

Recent teammates

Milestones

11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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