kitten luvr

kitten luvr — CS2 Stats

FI76561198336419420[U:1:376153692]Steam profile ↗✓ No bans

1,731Tracked matches67%Win rate2024Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating25,000Top 25% of 212,133 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#21790 of 259008 tracked
FaceitLevel 7 · 1,200 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (17 days ago). 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: 25,000 +2,427 11 May – 14 Oct · 18 days played
20,39925,854peak 25,85411 May14 Oct
26,120Peak Premier in tracked matches
1,200Highest Faceit ELO seen on CSDB
34Days played since 2026-05-11

Faceit ELO

  • At peak — 1,200
  • Next: Level 6 at 1,201 — 1 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 854 below peak (25,854)
  • +1,466 over 30 days · improving
  • Next: Gold band at 30,000 — 5,000 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGkitten luvrFACEITLevel 7 · 1,200 ELOSTANDINGTop 42.3% of rankedPREMIER25,000 · Red bandPEAK ELO1,200csdb.gg/stats

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Performance scores

Aim75
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWWWLLLWWLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.3pp headshot accuracy · +58ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 585ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 583ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 554ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.5
Utility3.9
Positioning4.8
Opening Duels1.8
Clutch3.2

Limited utility dependence

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

b1t

Plays most like b1t 99% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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

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

Aim7.5
Positioning4.8
Utility3.9
Mechanics6.5
Opening Duels2.5
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time525ms−39ms
first ⅓ avg 564ms → last ⅓ avg 525ms
Headshot accuracy16.8%+1.9%
first ⅓ avg 14.8% → last ⅓ avg 16.8%

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

0.21Best match rating · 9–1 · inferno, 28 May →
40%Best headshot accuracy · 13–7 · inferno, 12 Oct →
328msFastest reaction time · 9–2 · inferno, 17 May →
13–1Biggest win · anubis, 29 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
7–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 60% over 10ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.02
infernoA2112–957%-0.00
mirageB147–750%-0.01
cacheA116–555%-0.02
anubisA106–460%-0.03
ancientC94–544%-0.01
nukeB84–450%-0.02
vertigo—10–10%-0.15

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

464Matches
51%Win rate
0.89Avg K/D
72.0ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage15748%0.9213.9
Dust210747%0.8613.3
Ancient5153%0.8214.6
Inferno5155%0.8813.3
Nuke4151%0.9414.1
Anubis2962%0.8913.5
Cache1164%0.7912.6
Train771%0.9014.9

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.

17.6%Headshot accuracy
33.7%Accuracy (enemy spotted)
40.7%Spray accuracy
79.5%Counter-strafing
9.5°Preaim
535msReaction time
38.9%T opening success
40.9%CT opening success
0.39Enemies flashed / flash
7.1%Flash assists
8.35HE damage / grenade
4.15Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3867 — below the 0.5 mark we flag

    Grenade Lineups →
  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 38.8889% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.026%18 Oct →
ancient13–30.0215%18 Oct →
dust213–9-0.014%16 Oct →
inferno3–13-0.0916%14 Oct →
cache4–13-0.0825%14 Oct →
dust211–130.0338%13 Oct →
anubis13–7-0.0215%13 Oct →
mirage13–20.0735%13 Oct →
dust24–13-0.0827%13 Oct →
nuke13–3-0.019%12 Oct →
mirage13–5-0.0215%12 Oct →
inferno13–7-0.0540%12 Oct →
inferno13–5-0.0311%10 Oct →
cache9–130.017%10 Oct →
mirage13–110.0124%10 Oct →
dust213–4-0.0521%10 Oct →
mirage13–110.0516%10 Oct →
dust213–50.0015%10 Oct →
anubis13–10-0.0418%10 Oct →
inferno13–20.0526%10 Oct →
ancient10–13-0.0417%9 Oct →
mirage11–13-0.0219%9 Oct →
nuke9–130.0316%9 Oct →
cache5–13-0.1013%9 Oct →
anubis0–13-0.0212%9 Oct →
dust23–0-0.000%7 Oct →
mirage13–60.018%7 Oct →
anubis13–2-0.013%7 Oct →
cache3–00.000%7 Oct →
mirage13–4-0.0426%2 Oct →
nuke13–6-0.0514%2 Oct →
inferno15–150.0217%2 Oct →
ancient13–6-0.0425%2 Oct →
inferno13–16-0.055%30 Sept →
dust213–110.0316%30 Sept →
dust211–13-0.0218%15 Sept →
inferno13–110.0222%14 Sept →
cache15–150.0218%26 Aug →
nuke7–13-0.0611%26 Aug →
dust213–10-0.0330%26 Aug →
inferno13–11-0.074%11 Aug →
dust213–16-0.0719%11 Aug →
cache10–3-0.0211%11 Aug →
nuke13–50.004%11 Aug →
dust27–13-0.0413%7 Aug →
dust210–13-0.068%2 Aug →
cache16–130.0018%29 Jul →
anubis9–13-0.087%29 Jul →
mirage6–130.0110%28 Jul →
ancient13–60.0714%28 Jul →
dust213–90.0213%28 Jul →
nuke13–3-0.0318%26 Jul →
dust213–90.0114%26 Jul →
ancient13–110.0123%10 Jul →
dust22–13-0.078%10 Jul →
mirage8–13-0.077%12 Jun →
anubis13–90.0216%12 Jun →
inferno8–13-0.0218%11 Jun →
dust22–13-0.0225%11 Jun →
dust25–13-0.0620%11 Jun →
dust213–10-0.047%8 Jun →
dust211–13-0.0322%1 Jun →
dust211–13-0.0116%1 Jun →
ancient4–13-0.049%1 Jun →
anubis5–13-0.0119%1 Jun →
cache13–10-0.0016%29 May →
anubis9–13-0.0818%29 May →
mirage8–13-0.047%29 May →
ancient0–8-0.020%29 May →
nuke5–13-0.033%29 May →
dust213–5-0.0022%29 May →
anubis13–1-0.048%29 May →
inferno9–10.218%28 May →
inferno8–80.0225%28 May →
mirage6–13-0.0815%23 May →
cache16–12-0.0425%23 May →
inferno13–40.0111%23 May →
dust25–13-0.0517%23 May →
dust213–11-0.0213%23 May →
anubis13–5-0.0316%23 May →
mirage11–130.0123%21 May →
dust26–13-0.0236%21 May →
inferno8–80.0129%21 May →
mirage9–13-0.0318%20 May →
inferno7–13-0.0327%20 May →
cache13–40.0515%20 May →
inferno32–34-0.029%19 May →
mirage13–10-0.0616%18 May →
vertigo3–9-0.1517%17 May →
nuke4–9-0.019%17 May →
inferno1–9-0.150%17 May →
inferno13–7-0.044%17 May →
cache10–13-0.0711%17 May →
ancient7–13-0.0422%17 May →
inferno9–20.043%17 May →
inferno9–20.1112%17 May →
inferno9–4-0.007%17 May →
dust29–130.0015%14 May →
ancient11–130.0116%14 May →
inferno13–7-0.0129%11 May →

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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