K03

K03 — CS2 Stats

76561197961073773[U:1:808045]Steam profile ↗✓ No bans

716Tracked matches45%Win rate2023Tracked since
CSDB Rating4.7 DevelopingSupport
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,487 -1,130 2 May – 29 Jun · 10 days played
12,23915,617peak 15,6172 May29 Jun
16,029Peak Premier in tracked matches
33Days played since 2025-05-02

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

Performance scores

Aim54
Positioning49
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLLWWLLLTWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.5pp headshot accuracy · −10ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 512ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 530ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 535ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim5.4
Utility5.9
Positioning4.9
Opening Duels2.1
Clutch4.4

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 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning4.9
Utility5.9
Mechanics4.3
Opening Duels2.3
Win Impact3.3

Composite 4.7/10 (Developing), 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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time547ms−43ms
first ⅓ avg 590ms → last ⅓ avg 547ms
Headshot accuracy18.6%+2.2%
first ⅓ avg 16.4% → last ⅓ avg 18.6%

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

0.10Best match rating · 13–1 · cache, 1 Jun →
44%Best headshot accuracy · 13–5 · dust2, 13 Jul →
438msFastest reaction time · 10–13 · cache, 1 Jun →
13–1Biggest win · cache, 1 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 55% over 22mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
ancientA2212–1055%-0.00
dust2A2011–955%-0.02
mirageD154–1127%-0.01
anubisD144–1029%-0.00
cacheB115–645%-0.01
infernoD93–633%0.01
nukeB63–350%-0.03
overpass—10–10%-0.02
train—11–0100%-0.01
grail—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
58%Win rate
0.93Avg K/D
72.9ADR
37%Headshot %

Clutches & streaks

42%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient450%0.8212.5
Dust2367%0.7712.3
Anubis2100%1.0010.5
Mirage250%1.4217.0
Nuke10%0.7112.0

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.

18.3%Headshot accuracy
30.7%Accuracy (enemy spotted)
30.1%Spray accuracy
69.2%Counter-strafing
10.1°Preaim
544msReaction time
27.2%T opening success
48.7%CT opening success
0.54Enemies flashed / flash
6.4%Flash assists
8.03HE damage / grenade
10.41Flashes / 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 27.2435% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0625%26 Oct →
cache4–13-0.119%26 Oct →
cache13–11-0.0316%26 Oct →
dust213–50.0326%12 Oct →
dust27–13-0.0223%12 Oct →
mirage3–13-0.038%12 Oct →
mirage6–130.0118%12 Oct →
mirage15–15-0.0512%12 Oct →
dust213–9-0.068%19 Sept →
ancient13–9-0.049%19 Sept →
ancient13–8-0.068%19 Sept →
anubis11–13-0.0617%29 Jun →
mirage11–130.0217%29 Jun →
cache7–13-0.0319%22 Jun →
ancient13–7-0.0119%19 Jun →
anubis10–130.0219%19 Jun →
cache13–11-0.0418%8 Jun →
cache13–90.0430%8 Jun →
cache9–130.0114%8 Jun →
cache7–13-0.019%8 Jun →
cache13–40.0315%8 Jun →
cache10–13-0.0535%1 Jun →
cache7–13-0.0311%1 Jun →
cache13–10.1019%1 Jun →
inferno13–30.0833%1 Jun →
ancient13–80.0318%8 May →
inferno13–9-0.0018%8 May →
inferno10–13-0.0025%8 May →
anubis11–130.0126%8 May →
anubis7–130.0225%8 May →
ancient10–130.0321%8 May →
mirage5–13-0.0730%8 May →
ancient13–50.0312%8 May →
nuke4–13-0.0621%13 Apr →
anubis13–5-0.0120%6 Apr →
nuke13–110.0320%6 Apr →
nuke15–15-0.0121%3 Apr →
dust216–12-0.0211%3 Apr →
ancient10–130.0422%3 Apr →
ancient14–16-0.0210%27 Mar →
dust213–11-0.0621%27 Mar →
dust214–16-0.039%27 Mar →
dust26–13-0.1110%20 Mar →
dust28–13-0.0120%20 Mar →
ancient16–14-0.0015%20 Mar →
dust22–13-0.0914%20 Mar →
dust213–60.0526%20 Mar →
mirage10–13-0.0021%20 Mar →
inferno10–130.0424%27 Feb →
mirage13–100.0919%27 Feb →
anubis8–130.0813%27 Feb →
mirage13–50.0624%27 Feb →
nuke5–13-0.0526%27 Feb →
dust213–6-0.0314%27 Feb →
nuke3–0-0.090%27 Feb →
ancient8–13-0.0726%23 Feb →
ancient13–50.0413%8 Feb →
anubis13–50.0518%8 Feb →
dust25–13-0.0331%8 Feb →
overpass9–13-0.0211%8 Feb →
train16–12-0.0120%19 Jan →
dust213–8-0.0323%4 Jan →
ancient13–60.0316%4 Jan →
mirage12–16-0.0412%4 Jan →
mirage16–120.0213%4 Jan →
inferno12–160.0324%5 Dec →
ancient13–60.0320%5 Dec →
mirage8–13-0.108%5 Dec →
ancient8–130.0316%29 Nov →
mirage13–11-0.0210%16 Nov →
dust213–80.0414%15 Nov →
dust211–13-0.075%14 Nov →
dust213–100.0216%14 Nov →
ancient13–60.0324%14 Nov →
nuke13–9-0.0217%14 Nov →
ancient10–13-0.0326%6 Oct →
dust27–13-0.0122%4 Aug →
inferno4–130.0420%15 Jul →
anubis7–13-0.0622%13 Jul →
dust213–5-0.0444%13 Jul →
anubis9–13-0.0121%13 Jul →
mirage7–13-0.0212%13 Jul →
ancient7–50.0121%13 Jul →
ancient8–13-0.0117%13 Jul →
ancient10–13-0.0016%10 Jul →
dust27–13-0.0317%10 Jul →
dust213–60.0413%10 Jul →
anubis13–90.0127%10 Jul →
ancient7–13-0.0315%9 Jul →
anubis9–13-0.0513%2 Jun →
grail13–2-0.0117%10 May →
mirage9–13-0.0413%10 May →
anubis10–13-0.0017%10 May →
ancient11–13-0.0510%10 May →
anubis13–4-0.037%10 May →
ancient13–8-0.0011%2 May →
inferno7–13-0.0316%2 May →
anubis8–13-0.0114%2 May →
mirage11–13-0.056%2 May →
inferno13–11-0.0014%2 May →

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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