k1nG.

k1nG. — CS2 Stats

76561197985884371[U:1:25618643]Steam profile ↗✓ No bans

4,957Tracked matches46%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating21,008Pink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#6439 of 16693 tracked
FaceitLevel 9 · 1,805 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

21,008Peak Premier on CSDB
1,805Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,805
  • Next: Level 10 at 2,001 196 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier CS Rating

  • At peak — 21,008
  • Next: Red band at 25,000 3,992 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGk1nG.FACEITLevel 9 · 1,805 ELOSTANDINGTop 20.7% of rankedPREMIER21,008 · Pink bandPEAK ELO1,805csdb.gg/stats

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Performance scores

Aim55
Positioning51
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateLTWLLTWWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.5
Aggression4.7
Utility7.1
Positioning5.1
Opening Duels1.0
Clutch3.6

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 633ms 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

Aim5.5
Positioning5.1
Utility7.1
Mechanics5.4
Opening Duels1.1
Win Impact3.7

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time629ms+14ms
first ⅓ avg 615ms → last ⅓ avg 629ms
Headshot accuracy21.1%+3.1%
first ⅓ avg 18.0% → last ⅓ avg 21.1%

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

0.10Best rating — inferno 13–1
131Biggest win — inferno
6Longest win streak
95In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 67% over 15mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C27111641%-0.01
infernoC1981142%-0.01
ancientS1510567%0.00
cacheD124833%-0.01
nukeA116555%0.00
anubisA74357%-0.03
mirageD71614%-0.01
overpass2020%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,529Matches
50%Win rate
0.94Avg K/D
76.9ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient19657%0.9615.0
Inferno19553%0.9714.2
Anubis14656%0.9115.2
Dust212640%0.8713.9
Mirage7938%0.9215.1
Nuke4953%0.9315.4
Overpass3959%0.8915.0
Train1267%0.7610.5

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.

21.2%Headshot accuracy
31.9%Accuracy (enemy spotted)
35.4%Spray accuracy
74.4%Counter-strafing
11.5°Preaim
633msReaction time
29.2%T opening success
38.5%CT opening success
0.58Enemies flashed / flash
17.9%Flash assists
11.25HE damage / grenade
8.76Flashes / 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 29.1862% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0126%27 Aug
nuke15–15-0.0413%23 Aug
anubis13–10-0.0315%23 Aug
ancient9–13-0.0418%21 Aug
anubis8–13-0.0712%21 Aug
cache15–15-0.0223%18 Aug
cache13–90.0117%18 Aug
dust213–110.0228%18 Aug
ancient13–9-0.0124%17 Aug
nuke16–130.0315%15 Aug
cache11–13-0.0132%15 Aug
dust27–13-0.0019%12 Aug
dust213–50.0329%12 Aug
ancient15–15-0.0123%11 Aug
ancient13–4-0.0143%10 Aug
inferno16–140.0428%9 Aug
cache11–13-0.0614%9 Aug
mirage9–13-0.0725%8 Aug
dust213–50.0130%8 Aug
dust29–13-0.0117%7 Aug
inferno10–13-0.0324%7 Aug
cache13–90.0416%7 Aug
inferno7–13-0.0829%5 Aug
dust215–15-0.0115%2 Aug
dust29–13-0.0613%2 Aug
dust28–130.0019%28 Jul
cache8–130.0526%24 Jul
inferno13–4-0.0122%24 Jul
inferno13–9-0.0420%24 Jul
ancient11–13-0.0415%24 Jul
nuke13–4-0.0123%24 Jul
ancient13–70.0317%23 Jul
ancient13–3-0.018%23 Jul
inferno13–10.1025%23 Jul
dust213–100.0130%23 Jul
ancient13–100.0526%21 Jul
inferno8–13-0.0017%18 Jul
nuke13–11-0.0221%18 Jul
dust210–130.0027%18 Jul
cache8–13-0.0129%18 Jul
inferno13–160.0318%12 Jul
dust213–60.0129%12 Jul
cache7–13-0.0715%12 Jul
dust213–5-0.0316%10 Jul
dust213–50.0319%10 Jul
anubis13–100.0226%10 Jul
cache10–13-0.029%10 Jul
inferno16–13-0.0516%10 Jul
cache13–5-0.0615%10 Jul
inferno10–13-0.0111%10 Jul
nuke13–10-0.0225%10 Jul
cache7–13-0.0423%9 Jul
ancient8–13-0.038%6 Jul
cache13–20.049%6 Jul
inferno4–13-0.069%6 Jul
ancient10–130.0116%5 Jul
inferno15–15-0.0214%5 Jul
ancient16–140.0419%5 Jul
anubis6–13-0.0912%5 Jul
dust29–13-0.0118%3 Jul
dust210–13-0.049%2 Jul
nuke13–160.0220%2 Jul
dust213–10-0.0126%2 Jul
inferno4–13-0.0818%2 Jul
dust213–30.0324%2 Jul
ancient13–60.0319%2 Jul
inferno15–15-0.0418%2 Jul
dust29–13-0.0223%30 Jun
anubis13–2-0.0124%30 Jun
mirage13–30.0617%30 Jun
dust22–130.0329%30 Jun
nuke16–14-0.0019%30 Jun
inferno8–13-0.0111%28 Jun
nuke6–130.0319%28 Jun
inferno13–110.0121%28 Jun
dust213–60.0322%28 Jun
nuke13–16-0.0218%28 Jun
inferno13–110.0315%25 Jun
nuke13–90.0514%20 Jun
mirage9–130.0617%20 Jun
dust20–13-0.1119%20 Jun
ancient13–50.046%19 Jun
inferno10–13-0.0313%18 Jun
anubis13–7-0.0115%18 Jun
overpass11–130.0220%18 Jun
mirage2–13-0.0724%18 Jun
mirage10–13-0.0916%16 Jun
dust216–14-0.0222%16 Jun
anubis1–13-0.0411%16 Jun
overpass11–13-0.0515%16 Jun
dust25–13-0.0710%11 Jun
ancient13–10-0.0314%11 Jun
mirage5–130.0023%9 Jun
ancient13–9-0.0120%9 Jun
inferno13–11-0.0321%9 Jun
dust28–13-0.0516%9 Jun
dust23–13-0.0524%9 Jun
dust213–160.0014%8 Jun
nuke15–150.0118%7 Jun
mirage9–130.0226%7 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →