KiTLER

KiTLER — CS2 Stats

76561197970845482[U:1:10579754]Steam profile ↗✓ No bans

880Tracked matches59%Win rate2021Tracked since
CSDB Rating2.9 LearningClutch Specialist
Premier CS Rating16,588Purple band · top ~22.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 880 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,588 +3,135 15 Jun – 20 Sept · 41 days played
13,16117,317peak 17,31715 Jun20 Sept
17,433Peak Premier in tracked matches
52Days played since 2026-06-15

Premier CS Rating

  • 729 below peak (17,317)
  • +1,410 over 30 days · improving
  • +3,126 over 90 days
  • Next: Pink band at 20,000 — 3,412 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGKiTLERPREMIER16,588 · Purple bandcsdb.gg/stats

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Performance scores

Aim20
Positioning39
Utility45

0–100 skill scores via Leetify.

Recent form

HOT54–41–5Last 10054%Win rateLWWWLWWWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −1.8pp headshot accuracy · +36ms reaction

Win rate up 50pp 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 -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 581ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 616ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 598ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim2.0
Utility4.5
Positioning3.9
Opening Duels0.7
Clutch6.0

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

jL

Plays most like jL 60% 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

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 48% 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

Aim2.0
Positioning3.9
Utility4.5
Mechanics0.0
Opening Duels0.7
Win Impact7.9

Composite 2.9/10 (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 -0.03 → last ⅓ avg -0.03
Reaction time593ms−51ms
first ⅓ avg 644ms → last ⅓ avg 593ms
Headshot accuracy14.4%+1.0%
first ⅓ avg 13.4% → last ⅓ avg 14.4%

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

0.05Best match rating · 13–7 · mirage, 17 Jul →
33%Best headshot accuracy · 7–3 · mirage, 11 Aug →
391msFastest reaction time · 8–13 · anubis, 25 Jul →
13–1Biggest win · mirage, 5 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 62% over 13nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3819–1950%-0.03
infernoB2412–1250%-0.03
anubisA138–562%-0.03
nukeC83–538%-0.05
cacheB63–350%-0.00
ancient—43–175%-0.06
vertigo—22–0100%0.03
overpass—22–0100%0.00
office—11–0100%-0.05
warden—11–0100%0.05
dust2—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

45Matches
47%Win rate
0.58Avg K/D
63.8ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno425%0.6012.3
Vertigo333%0.576.3
Mirage250%0.407.0
Nuke20%0.488.0
Anubis10%0.609.0

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.

14.4%Headshot accuracy
29.1%Accuracy (enemy spotted)
32.8%Spray accuracy
48.1%Counter-strafing
12.9°Preaim
591msReaction time
23.1%T opening success
35.8%CT opening success
0.64Enemies flashed / flash
3.7%Flash assists
11.22HE damage / grenade
2.54Flashes / 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 12.9236° — 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 14.3704% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5432 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0216%11 Sept →
mirage13–8-0.0220%7 Sept →
nuke13–30.018%5 Sept →
ancient13–7-0.026%28 Aug →
mirage9–13-0.0912%28 Aug →
mirage8–2-0.0417%26 Aug →
anubis9–2-0.009%26 Aug →
inferno13–4-0.0518%26 Aug →
mirage13–4-0.047%25 Aug →
mirage13–110.0513%25 Aug →
inferno15–15-0.0711%24 Aug →
nuke10–13-0.0125%21 Aug →
inferno9–13-0.0321%21 Aug →
cache5–13-0.038%20 Aug →
vertigo13–40.0114%19 Aug →
mirage13–9-0.0512%19 Aug →
vertigo13–70.0414%18 Aug →
ancient13–16-0.129%16 Aug →
nuke11–13-0.0811%16 Aug →
mirage8–13-0.0519%11 Aug →
mirage1–13-0.0814%11 Aug →
mirage7–3-0.0133%11 Aug →
mirage9–13-0.0626%7 Aug →
inferno8–13-0.0322%7 Aug →
anubis13–4-0.0117%6 Aug →
inferno16–14-0.0410%6 Aug →
mirage13–1-0.025%5 Aug →
anubis13–10-0.038%5 Aug →
nuke13–6-0.0812%5 Aug →
inferno11–13-0.0619%4 Aug →
anubis13–5-0.029%4 Aug →
mirage6–130.0020%2 Aug →
mirage10–130.019%31 Jul →
inferno16–120.0017%31 Jul →
mirage13–40.0111%31 Jul →
anubis8–13-0.086%30 Jul →
inferno13–10-0.1110%29 Jul →
inferno11–13-0.0125%28 Jul →
inferno4–13-0.0424%26 Jul →
anubis8–13-0.0212%25 Jul →
mirage6–13-0.0319%24 Jul →
anubis13–4-0.044%24 Jul →
mirage13–11-0.0612%24 Jul →
mirage13–3-0.0015%24 Jul →
cache13–110.0318%23 Jul →
anubis13–8-0.036%23 Jul →
mirage6–13-0.079%22 Jul →
mirage5–13-0.109%21 Jul →
mirage9–13-0.0425%20 Jul →
inferno13–8-0.0218%19 Jul →
ancient13–10-0.0512%18 Jul →
inferno13–9-0.0210%18 Jul →
mirage11–13-0.0310%18 Jul →
inferno8–13-0.0515%17 Jul →
mirage13–70.0513%17 Jul →
inferno8–13-0.055%16 Jul →
nuke7–13-0.084%16 Jul →
mirage11–13-0.0811%15 Jul →
mirage13–6-0.0520%15 Jul →
cache13–16-0.0311%14 Jul →
nuke7–13-0.0514%14 Jul →
inferno13–11-0.029%13 Jul →
ancient13–9-0.0517%13 Jul →
anubis13–30.0116%12 Jul →
anubis13–11-0.025%12 Jul →
cache13–90.0514%11 Jul →
mirage5–13-0.0314%11 Jul →
mirage13–11-0.0317%11 Jul →
inferno5–13-0.0118%11 Jul →
mirage13–8-0.019%10 Jul →
nuke14–16-0.0813%10 Jul →
inferno13–3-0.025%10 Jul →
mirage3–13-0.0714%9 Jul →
mirage13–30.0130%9 Jul →
office13–11-0.0513%8 Jul →
mirage13–60.017%8 Jul →
mirage12–12-0.0513%8 Jul →
anubis12–12-0.047%7 Jul →
anubis12–12-0.0410%7 Jul →
inferno13–30.0515%7 Jul →
cache13–2-0.008%7 Jul →
cache2–13-0.0412%7 Jul →
mirage13–10-0.0413%6 Jul →
warden13–50.0515%6 Jul →
mirage13–6-0.038%5 Jul →
inferno13–7-0.0620%4 Jul →
anubis10–13-0.0520%4 Jul →
mirage4–130.0010%4 Jul →
mirage8–13-0.0716%24 Jun →
dust25–13-0.0621%23 Jun →
overpass13–90.0125%23 Jun →
inferno13–9-0.058%23 Jun →
mirage15–15-0.0314%22 Jun →
overpass13–9-0.018%21 Jun →
inferno10–13-0.0610%18 Jun →
inferno1–130.0310%18 Jun →
nuke13–7-0.0414%17 Jun →
mirage11–13-0.049%15 Jun →
inferno13–8-0.0613%15 Jun →
mirage13–20.0418%15 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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