The Kirkler

The Kirkler — CS2 Stats

AL76561198048232513[U:1:87966785]Steam profile ↗✓ No bans

742Tracked matches43%Win rate2020Tracked since
CSDB Rating5.8 SolidAll-Rounder
Premier CS Rating16,280Purple band · top ~23.3% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (6 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: 16,280 +3,698 20 Jul – 26 Sept · 29 days played
11,58618,587peak 18,58720 Jul26 Sept
18,587Peak Premier in tracked matches
29Days played since 2026-07-20

Premier CS Rating

  • 2,307 below peak (18,587)
  • +301 over 30 days · steady
  • Next: Pink band at 20,000 — 3,720 to go
  • Reached: Purple band · Blue band · Light 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.GGThe KirklerFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER16,280 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning47
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateLWWLWLWLWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −4.7pp headshot accuracy · −37ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 637ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 652ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 671ms

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.

Aim7.6
Utility4.1
Positioning4.7
Opening Duels3.2

Excellent counter-strafingLimited 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

iM

Plays most like iM 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

Reaction time. 685ms 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

Aim7.6
Positioning4.7
Utility4.1
Mechanics9.0
Opening Duels3.1
Win Impact2.8

Composite 5.8/10 (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 time686ms−26ms
first ⅓ avg 712ms → last ⅓ avg 686ms
Headshot accuracy29.4%−0.6%
first ⅓ avg 30.0% → last ⅓ avg 29.4%

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

0.13Best match rating · 13–11 · nuke, 15 Aug →
70%Best headshot accuracy · 3–13 · ancient, 26 Sept →
477msFastest reaction time · 3–13 · anubis, 23 Aug →
13–2Biggest win · dust2, 21 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
13–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 93% over 15ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%0.01
infernoB158–753%0.01
cacheS1514–193%0.02
mirageA149–564%0.01
nukeA138–562%0.01
anubisD124–833%-0.03
ancientD61–517%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

132Matches
49%Win rate
0.68Avg K/D
—ADR
48%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

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.

29.4%Headshot accuracy
30.9%Accuracy (enemy spotted)
31.3%Spray accuracy
90.3%Counter-strafing
8.7°Preaim
685msReaction time
38.5%T opening success
46.1%CT opening success
0.63Enemies flashed / flash
2.1%Flash assists
5.82HE damage / grenade
3.15Flashes / 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

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

    Flashes per match 3.1498 — below the 4 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 38.5424% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno14–16-0.0130%26 Sept →
cache13–5-0.0113%26 Sept →
mirage13–5-0.0111%26 Sept →
dust28–130.0223%26 Sept →
inferno13–40.0324%26 Sept →
ancient3–13-0.0470%26 Sept →
inferno9–5-0.0219%26 Sept →
anubis3–13-0.065%23 Aug →
nuke13–7-0.0426%22 Aug →
ancient13–16-0.0033%22 Aug →
inferno12–16-0.0217%22 Aug →
mirage9–13-0.1019%21 Aug →
dust213–20.0318%21 Aug →
mirage13–6-0.0434%21 Aug →
dust21–13-0.0729%20 Aug →
anubis9–13-0.0546%20 Aug →
cache13–3-0.0442%20 Aug →
inferno13–100.0743%20 Aug →
cache13–70.0330%19 Aug →
mirage10–130.0423%19 Aug →
mirage12–20.0544%19 Aug →
anubis1–9-0.0540%18 Aug →
inferno8–130.0120%18 Aug →
dust21–13-0.0336%18 Aug →
dust27–130.0528%18 Aug →
anubis2–13-0.1025%16 Aug →
dust25–13-0.1233%16 Aug →
inferno16–130.0337%15 Aug →
nuke13–110.1338%15 Aug →
anubis6–13-0.0611%15 Aug →
cache13–3-0.0335%15 Aug →
dust213–7-0.0321%15 Aug →
mirage3–130.0150%15 Aug →
cache13–9-0.0328%15 Aug →
inferno16–13-0.0332%15 Aug →
dust213–70.0218%14 Aug →
mirage13–110.0637%14 Aug →
mirage14–16-0.0524%14 Aug →
cache13–100.0725%14 Aug →
dust214–160.0141%13 Aug →
nuke13–110.0328%13 Aug →
nuke13–40.0439%13 Aug →
dust216–140.0330%13 Aug →
ancient10–13-0.0321%13 Aug →
inferno13–11-0.0129%12 Aug →
mirage13–5-0.0527%12 Aug →
inferno8–130.0425%11 Aug →
cache13–40.0727%11 Aug →
dust213–50.0321%11 Aug →
cache13–50.0438%11 Aug →
nuke13–9-0.0136%11 Aug →
anubis7–13-0.0413%10 Aug →
ancient13–80.0141%10 Aug →
inferno2–13-0.0324%10 Aug →
nuke6–13-0.0317%10 Aug →
dust213–10-0.0329%10 Aug →
inferno13–110.0125%7 Aug →
dust213–40.0855%7 Aug →
anubis16–130.0511%5 Aug →
anubis13–110.0239%5 Aug →
mirage13–100.0540%5 Aug →
anubis13–110.0028%4 Aug →
ancient3–13-0.1012%4 Aug →
dust26–13-0.0638%2 Aug →
mirage16–140.0128%1 Aug →
nuke7–13-0.0221%1 Aug →
anubis13–50.0224%31 Jul →
cache13–60.0032%30 Jul →
nuke6–13-0.0523%28 Jul →
nuke13–60.0339%28 Jul →
cache13–80.0629%28 Jul →
dust213–10-0.0133%26 Jul →
inferno5–13-0.0235%26 Jul →
cache13–5-0.0133%26 Jul →
anubis9–13-0.0931%26 Jul →
dust27–130.0630%26 Jul →
dust213–2-0.0125%25 Jul →
cache13–110.0336%25 Jul →
inferno13–7-0.0121%25 Jul →
mirage13–80.0525%24 Jul →
nuke13–90.1045%24 Jul →
dust210–13-0.0140%24 Jul →
cache13–110.0938%24 Jul →
mirage11–13-0.0130%24 Jul →
nuke13–40.0118%24 Jul →
dust28–130.0124%23 Jul →
nuke14–160.0033%23 Jul →
cache10–130.0334%23 Jul →
dust216–130.0539%23 Jul →
dust210–130.0328%23 Jul →
dust29–130.0733%22 Jul →
dust213–110.0741%22 Jul →
nuke8–13-0.0129%22 Jul →
inferno9–130.0326%22 Jul →
dust213–110.0424%22 Jul →
cache16–12-0.0328%21 Jul →
ancient11–13-0.0617%21 Jul →
anubis5–13-0.0514%20 Jul →
mirage13–90.0730%20 Jul →
dust213–30.0728%20 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.