k(:pa

k(:pa — CS2 Stats

76561198076010903[U:1:115745175]Steam profile ↗1 game ban

546Tracked matches63%Win rate2020Tracked since
CSDB Rating7.6 StrongClutch Specialist
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGk(:paFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning74
Utility65

0–100 skill scores via Leetify.

Recent form

HOT57–37–6Last 10057%Win rateLWWWWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.04 avg rating · +1.6pp headshot accuracy · +41ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 522ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 559ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 538ms

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 (+1 against its own average).

Aim8.5
Utility6.5
Positioning7.4
Opening Duels6.0
Clutch8.0

Sharp aimerReliable in 1v1s

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 93% playstyle similarity

Most alike: utility contribution, 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.5
Positioning7.4
Utility6.5
Mechanics6.1
Opening Duels6.9
Win Impact9.4

Composite 7.6/10 (Strong), 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 rating0.05+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.05
Reaction time532ms−1ms
first ⅓ avg 533ms → last ⅓ avg 532ms
Headshot accuracy20.3%−4.1%
first ⅓ avg 24.4% → last ⅓ avg 20.3%

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

0.17Best match rating · 13–7 · dust2, 25 Aug →
50%Best headshot accuracy · 0–3 · dust2, 23 Sept →
344msFastest reaction time · 10–0 · inferno, 19 Sept →
13–1Biggest win · train, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 100% over 5mirageWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B4322–2151%0.03
mirageC188–1044%0.03
infernoS1511–473%0.02
anubisS86–275%0.05
trainS55–0100%0.06
nuke—42–250%0.08
vertigo—31–233%0.01
ancient—31–233%0.08
cache—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

193Matches
67%Win rate
1.66Avg K/D
112.6ADR
40%Headshot %

Clutches & streaks

60%1v1 clutch win
33%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1464%1.9122.1
Dust2580%1.8222.4
Anubis560%1.5924.0
Ancient475%1.4923.5
Nuke2100%2.4826.0
Vertigo10%0.7814.0
Inferno1100%2.0923.0

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.

20.2%Headshot accuracy
39.1%Accuracy (enemy spotted)
42.8%Spray accuracy
77.5%Counter-strafing
9.0°Preaim
536msReaction time
54.9%T opening success
60.6%CT opening success
0.65Enemies flashed / flash
10.6%Flash assists
6.40HE damage / grenade
18.36Flashes / match

Recommended for you

Spend your practice time on Mirage

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 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–50.1122%14 Oct →
dust213–8-0.0613%12 Oct →
inferno13–80.1122%12 Oct →
dust213–70.0229%12 Oct →
cache13–40.0716%12 Oct →
dust213–6-0.0527%12 Oct →
dust213–11-0.0217%12 Oct →
inferno13–9-0.0012%11 Oct →
mirage11–130.0421%11 Oct →
dust213–80.0429%10 Oct →
dust213–50.0822%9 Oct →
inferno13–60.0614%9 Oct →
dust213–20.0721%9 Oct →
mirage9–120.1028%8 Oct →
train13–80.0420%8 Oct →
anubis13–80.1419%8 Oct →
dust27–130.0422%8 Oct →
anubis8–20.0720%8 Oct →
dust211–130.0110%6 Oct →
dust29–130.0217%6 Oct →
dust28–130.0526%6 Oct →
inferno8–130.0120%6 Oct →
dust213–110.0815%5 Oct →
anubis13–50.0918%5 Oct →
dust213–60.0832%5 Oct →
dust29–130.1022%3 Oct →
vertigo13–80.0517%2 Oct →
inferno10–13-0.0116%30 Sept →
mirage7–130.0228%29 Sept →
dust213–70.1516%28 Sept →
ancient8–10.0619%27 Sept →
dust211–130.0317%27 Sept →
dust212–12-0.0125%27 Sept →
mirage3–13-0.0427%27 Sept →
dust213–20.0631%26 Sept →
dust213–110.0319%26 Sept →
ancient12–120.0521%25 Sept →
mirage13–80.0324%23 Sept →
dust20–3-0.1250%23 Sept →
vertigo10–13-0.0028%23 Sept →
vertigo8–13-0.0122%23 Sept →
dust210–130.0117%21 Sept →
anubis13–90.0210%21 Sept →
dust213–90.0112%21 Sept →
inferno13–20.060%21 Sept →
dust210–13-0.0327%21 Sept →
mirage13–20.0213%21 Sept →
anubis13–40.0918%21 Sept →
train13–10.1221%20 Sept →
nuke12–120.0517%20 Sept →
mirage13–100.1213%20 Sept →
anubis13–10-0.0423%20 Sept →
inferno13–70.0221%19 Sept →
nuke13–20.0817%19 Sept →
nuke13–40.1018%19 Sept →
inferno10–00.010%19 Sept →
anubis10–13-0.0212%18 Sept →
mirage13–10-0.0820%18 Sept →
inferno13–3-0.0414%18 Sept →
mirage9–130.1011%17 Sept →
inferno13–60.0815%17 Sept →
nuke10–130.1120%16 Sept →
dust213–110.0436%16 Sept →
dust29–130.0418%16 Sept →
dust24–13-0.0915%15 Sept →
inferno8–130.0118%15 Sept →
dust213–100.0419%15 Sept →
inferno13–10-0.0215%14 Sept →
mirage13–100.0231%14 Sept →
dust213–100.1323%14 Sept →
dust213–20.0048%14 Sept →
dust29–130.1044%14 Sept →
dust24–130.0331%11 Sept →
dust213–90.0428%10 Sept →
mirage12–12-0.0621%10 Sept →
dust213–40.0745%10 Sept →
dust210–130.0417%10 Sept →
dust211–130.0529%10 Sept →
mirage12–120.0717%10 Sept →
train13–40.028%4 Sept →
dust28–130.0045%3 Sept →
dust29–13-0.0131%3 Sept →
train13–50.0717%2 Sept →
inferno11–0-0.0340%2 Sept →
dust28–130.0226%2 Sept →
mirage8–13-0.0921%27 Aug →
dust213–70.1719%25 Aug →
dust27–13-0.0415%23 Aug →
dust211–130.0222%20 Aug →
anubis12–120.0117%20 Aug →
ancient7–130.1313%15 Aug →
mirage13–70.1024%31 Jul →
dust213–4-0.0128%28 Jul →
mirage13–8-0.0123%28 Jul →
mirage13–160.049%25 Jul →
inferno6–130.0618%24 Jul →
dust213–70.0326%23 Jul →
mirage13–80.0613%23 Jul →
inferno13–9-0.0322%22 Jul →
train13–70.0220%22 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 →

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