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keilakki — CS2 Stats

76561197979245722[U:1:18979994]✓ No bans

1,656Tracked matches67%Win rate2020Tracked since
4,910Hours in CS
CSDB Rating6.8 SolidAggressive Rifler
FaceitLevel 10 · 2,333 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate39.9%52.0%
Shot accuracy18.0%13.7%
Kill/death ratio1.141.08
Match win rate57.2%48.8%

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CSDB.GGkeilakkiFACEITLevel 10 · 2,333 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning63
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY72–26–2Last 10072%Win rateWWWWWLLLWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression7.1
Utility7.1
Positioning6.3
Opening Duels3.4
Clutch4.4

Strong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 59% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning6.3
Utility7.1
Mechanics5.4
Opening Duels3.6
Win Impact10.0

Composite 6.8/10 (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 rating0.04−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time523ms−57ms
first ⅓ avg 580ms → last ⅓ avg 523ms
Headshot accuracy11.1%−4.6%
first ⅓ avg 15.7% → last ⅓ avg 11.1%

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.

Highlights

0.18Best rating — mirage 13–2
13–0Biggest win — train
15Longest win streak
W5Current streak
5–2In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 94% over 18mirageWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
nukeS1817–194%0.04
cacheA1710–759%0.04
overpassS129–375%0.04
ancientA117–464%0.06
anubisS1110–191%0.01
mirageB105–550%0.05
trainS96–367%0.04
dust2B84–450%0.07
vertigo—33–0100%0.00
inferno—11–0100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

319,444Lifetime kills
1.14K/D · Top 50% of Level 10 players
12,036Matches
57.2%Match win rate · Top 10% of Level 10 players
39.9%Headshot %
18.0%Shot accuracy · Top 25% of Level 10 players
28,552MVPs
4,910Hours (in match)
16,982Bombs planted
3,315Bombs defused

Most-used weapons

AK-47121,315
M4A4 / M4A1-S70,540
AWP39,617
P2000 / USP-S19,262
Desert Eagle11,477
P25011,088
Glock-189,280
MP94,685
MAC-103,038
Five-SeveN2,800

Lifetime map wins

15,872train
14,525nuke
12,935dust2
11,374inferno
6,635cbble
3,261vertigo
367aztec
289lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

602Matches
60%Win rate
1.24Avg K/D
83.1ADR
29%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2152%1.2216.8
Anubis2065%1.1213.4
Overpass1984%1.3715.6
Ancient1867%1.4917.6
Vertigo650%1.0917.2
Train580%1.6316.8
Mirage367%1.5216.7
Dust230%1.1617.0

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.

10.3%Headshot accuracy
38.9%Accuracy (enemy spotted)
42.5%Spray accuracy
74.4%Counter-strafing
8.1°Preaim
525msReaction time
28.0%T opening success
59.1%CT opening success
0.73Enemies flashed / flash
8.2%Flash assists
11.30HE damage / grenade
11.22Flashes / 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. 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 10.3113% — below the 15% mark we flag

    Aim Training →
  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 28.0037% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
train13–30.083%4 Jul →
vertigo13–10.0313%4 Jul →
overpass13–60.069%4 Jul →
ancient13–20.098%4 Jul →
mirage13–20.1815%4 Jul →
dust210–130.089%4 Jul →
cache6–13-0.024%4 Jul →
anubis4–13-0.0820%3 Jul →
nuke13–9-0.027%3 Jul →
train10–13-0.018%3 Jul →
cache13–50.087%3 Jul →
overpass13–40.0416%3 Jul →
vertigo13–10-0.037%3 Jul →
dust213–20.1715%3 Jul →
anubis13–30.0511%26 Jun →
mirage4–130.059%26 Jun →
anubis13–40.0810%23 Jun →
overpass13–60.0117%23 Jun →
nuke13–80.0112%23 Jun →
ancient13–60.1021%14 Jun →
dust26–130.0314%14 Jun →
nuke13–60.088%14 Jun →
anubis13–3-0.049%14 Jun →
nuke13–4-0.0311%13 Jun →
dust28–130.119%13 Jun →
cache10–13-0.017%13 Jun →
ancient1–30.0829%13 Jun →
train7–130.058%13 Jun →
nuke13–3-0.0310%24 May →
mirage13–90.047%24 May →
overpass5–00.0312%24 May →
train13–0-0.0010%24 May →
ancient13–50.0215%24 May →
anubis13–5-0.059%24 May →
cache13–50.138%24 May →
cache13–50.0712%22 May →
nuke13–30.1119%22 May →
overpass13–60.0515%22 May →
nuke13–20.0415%14 May →
overpass2–2-0.0114%14 May →
anubis13–60.0519%14 May →
vertigo13–30.0011%14 May →
dust213–70.078%14 May →
cache8–13-0.066%14 May →
train9–130.017%14 May →
mirage7–70.1011%14 May →
cache13–30.0816%9 May →
nuke13–30.0517%9 May →
anubis13–20.049%9 May →
cache13–40.117%9 May →
nuke13–50.0114%4 May →
overpass12–120.0610%4 May →
cache13–11-0.0111%4 May →
nuke13–100.099%2 May →
cache9–130.0923%2 May →
cache5–130.0916%1 May →
nuke13–80.0413%1 May →
cache13–90.059%1 May →
mirage13–30.067%1 May →
overpass11–130.0018%30 Apr →
ancient13–10.0723%30 Apr →
anubis4–00.0911%30 Apr →
nuke13–10.028%30 Apr →
cache13–70.018%30 Apr →
cache13–90.0917%30 Apr →
cache7–13-0.0113%29 Apr →
cache13–4-0.0112%29 Apr →
cache9–130.0327%29 Apr →
nuke13–40.0613%26 Apr →
anubis3–4-0.1015%26 Apr →
train13–70.0310%26 Apr →
mirage8–130.0118%26 Apr →
ancient13–110.0620%26 Apr →
overpass13–60.0522%25 Apr →
mirage12–120.0110%25 Apr →
nuke13–30.1521%25 Apr →
ancient13–70.1123%25 Apr →
anubis13–40.0113%25 Apr →
mirage9–130.0119%18 Apr →
nuke10–13-0.0213%18 Apr →
dust213–90.0611%18 Apr →
ancient13–50.1213%18 Apr →
train13–90.0610%10 Apr →
nuke13–80.088%10 Apr →
dust26–13-0.0711%10 Apr →
overpass13–60.1423%10 Apr →
train13–30.0719%30 Mar →
ancient4–13-0.0216%30 Mar →
ancient0–30.0543%21 Mar →
nuke13–90.0513%21 Mar →
overpass3–130.004%14 Mar →
mirage13–60.0014%14 Mar →
dust213–70.1424%14 Mar →
inferno13–90.047%14 Mar →
ancient6–13-0.0224%14 Mar →
anubis8–00.0710%14 Mar →
mirage7–130.0012%13 Mar →
nuke13–30.1015%13 Mar →
overpass13–40.027%13 Mar →
train13–70.0714%13 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches15-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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