Ka1

Ka1 — CS2 Stats

FI76561199232876840[U:1:1272611112]Steam profile ↗✓ No bans

2,211Tracked matches33%Win rate2022Tracked since
4,912Hours in CS26Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
CSDB Leaderboard#69479 of 230695 tracked
FaceitLevel 9 · 2,039 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 62 days played since 15 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,470 -3,515 18 Jan5 Jul · 3 days played
20,47023,985peak 23,98518 Jan5 Jul
23,985Peak Premier in tracked matches
2,039Highest Faceit ELO seen on CSDB
62Days played since 2026-01-15

Faceit ELO

  • At peak — 2,039
  • Next: 2,500 ELO at 2,500 461 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=13,320), 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 9 medianLevel 10 medianvs Level 10
Headshot rate55.9%48.3%51.0%above
Shot accuracy8.0%13.2%13.7%5.8% short
Kill/death ratio1.551.071.09above
Match win rate47.8%46.9%48.4%meets

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKa1FACEITLevel 9 · 2,039 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,039csdb.gg/stats

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Performance scores

Aim84
Positioning63
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43507Last 10043%Win rateLLLWWLWLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −4.4pp headshot accuracy · 0ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 539ms

Last 20

  • 713 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 539ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim8.4
Utility5.6
Positioning6.3
Opening Duels4.0
Clutch4.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim8.4
Positioning6.3
Utility5.6
Mechanics7.0
Opening Duels3.9
Win Impact0.0

Composite 6.1/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time556ms−30ms
first ⅓ avg 586ms → last ⅓ avg 556ms
Headshot accuracy24.0%−1.4%
first ⅓ avg 25.4% → last ⅓ avg 24.0%

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

0.20Best match rating · 8–8 · inferno, 24 Jan
50%Best headshot accuracy · 6–9 · eldorado, 15 Jul
359msFastest reaction time · 4–9 · inferno, 17 Apr
13–0Biggest win · dust2, 13 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
1111In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 25% over 24
MapGradePlayedRecordWin rateAvg rating
infernoD2461825%-0.00
mirageA2011955%0.03
ancientC1881044%0.01
nukeA159660%0.01
dust2D123925%0.01
vertigo31233%0.04
cache220100%0.13
anubis220100%0.09
eldorado1010%0.10
debris110100%0.01
overpass1010%0.07
poseidon1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,914Lifetime kills
1.55K/D · Top 5% of Level 9 players
5,041Matches
47.8%Match win rate · Top 50% of Level 9 players
55.9%Headshot % · Top 25% of Level 9 players
8.0%Shot accuracy
19,036MVPs
3,664Hours (in match)
5,423Bombs planted
2,333Bombs defused

Most-used weapons

AK-4754,435
AWP22,076
Knife2,249
FAMAS2,240
SSG 082,178
Negev2,074

Lifetime map wins

8,843inferno
5,329nuke
3,053vertigo
2,532dust2
1,944cbble
373train
234lake
201office

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

Faceit stats

Combat

1,390Matches
49%Win rate
1.20Avg K/D
84.3ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient32354%1.2317.9
Anubis27653%1.3618.9
Nuke19356%1.1917.1
Mirage19339%1.1618.3
Inferno6638%1.1517.6
Vertigo6453%1.1618.1
Dust24531%1.0416.9
Train2650%1.0816.3

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.

22.5%Headshot accuracy
36.7%Accuracy (enemy spotted)
38.6%Spray accuracy
81.5%Counter-strafing
8.4°Preaim
564msReaction time
30.5%T opening success
60.5%CT opening success
0.69Enemies flashed / flash
15.1%Flash assists
8.29HE damage / grenade
7.64Flashes / 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

    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 30.4804% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0914%19 Sept
dust25–13-0.0428%19 Sept
mirage11–13-0.0110%18 Sept
nuke13–70.0124%18 Sept
mirage13–30.0110%18 Sept
ancient4–13-0.0113%11 Sept
cache13–30.0741%10 Sept
nuke4–13-0.0115%3 Sept
ancient13–80.1218%31 Aug
dust29–130.0024%30 Aug
inferno3–90.0632%26 Aug
ancient16–140.0320%22 Aug
ancient7–13-0.0326%22 Aug
ancient3–13-0.0618%22 Aug
dust211–130.0521%19 Aug
ancient7–130.0422%18 Aug
ancient7–130.0429%18 Aug
nuke5–130.049%18 Aug
ancient13–11-0.0034%16 Aug
mirage13–90.0229%16 Aug
dust24–130.0023%13 Aug
nuke4–13-0.0337%11 Aug
ancient11–13-0.0226%11 Aug
inferno3–13-0.0626%3 Aug
mirage6–130.0027%2 Aug
mirage13–110.0923%1 Aug
nuke16–140.0321%1 Aug
inferno1–9-0.1147%30 Jul
mirage13–160.0816%30 Jul
mirage10–50.0213%30 Jul
dust24–130.0540%22 Jul
inferno9–70.1133%20 Jul
mirage4–13-0.0127%20 Jul
mirage13–7-0.0326%18 Jul
inferno4–9-0.0225%17 Jul
eldorado6–90.1050%15 Jul
debris9–70.0125%14 Jul
mirage3–130.0448%9 Jul
mirage13–80.1625%5 Jul
inferno9–130.0027%5 Jul
mirage13–30.1023%3 Jul
vertigo13–110.1229%25 Jun
inferno4–13-0.0030%13 Jun
dust213–00.1336%13 Jun
inferno15–15-0.0424%13 Jun
cache13–50.2030%12 Jun
ancient10–130.0426%18 May
nuke19–160.0235%15 May
ancient13–90.0133%15 May
nuke13–9-0.0221%15 May
ancient11–13-0.0030%6 May
nuke5–13-0.0733%4 May
mirage10–13-0.038%29 Apr
inferno16–140.0129%27 Apr
nuke13–70.0220%20 Apr
inferno13–100.0226%19 Apr
anubis13–70.0429%19 Apr
nuke9–70.0329%17 Apr
mirage10–130.0326%17 Apr
mirage6–130.0414%17 Apr
vertigo7–9-0.0221%17 Apr
inferno4–90.0145%17 Apr
inferno6–9-0.0328%11 Apr
ancient13–16-0.0128%11 Apr
ancient13–7-0.0026%10 Apr
dust23–13-0.0323%8 Apr
ancient16–130.0140%5 Apr
anubis13–20.1526%5 Apr
mirage13–90.0626%5 Apr
inferno8–8-0.0426%4 Apr
ancient13–10-0.0518%1 Apr
inferno7–9-0.0543%30 Mar
dust213–100.0444%30 Mar
dust213–6-0.0342%30 Mar
inferno10–13-0.0324%6 Mar
mirage11–130.0229%27 Feb
ancient7–130.0317%27 Feb
nuke13–110.0121%27 Feb
nuke8–13-0.0230%27 Feb
inferno4–13-0.0537%27 Feb
inferno8–80.0624%25 Feb
dust21–13-0.0717%22 Feb
overpass10–130.0726%2 Feb
dust211–13-0.0516%1 Feb
mirage13–100.0421%1 Feb
inferno8–8-0.1017%30 Jan
mirage13–60.0217%29 Jan
inferno4–9-0.0918%28 Jan
dust211–130.0216%25 Jan
nuke13–50.1023%25 Jan
inferno8–80.2039%24 Jan
inferno9–70.0423%23 Jan
vertigo7–90.0219%23 Jan
poseidon8–8-0.0426%23 Jan
inferno8–80.0321%21 Jan
ancient13–100.0322%18 Jan
inferno13–7-0.0024%18 Jan
mirage13–10-0.0326%18 Jan
nuke13–90.0633%16 Jan
inferno9–30.0131%15 Jan

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →