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Orange Clonk — CS2 Stats

76561198164156904[U:1:203891176]✓ No bans

148Tracked matches58%Win rate2024Tracked since
CSDB Rating2.4 Learning
Ladder ranks via Leetify

Performance scores

Aim15
Positioning23
Utility28

0–100 skill scores via Leetify.

Recent form

HOT38–51–11Last 10038%Win rateLWWLWWWWLW

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

Aim1.5
Aggression0.0
Utility2.8
Positioning2.3
Opening Duels0.0

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 56% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 699ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim1.5
Positioning2.3
Utility2.8
Mechanics2.1
Opening Duels0.0
Win Impact7.6

Composite 2.4/10 (Learning), 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-0.05+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time711ms+31ms
first ⅓ avg 680ms → last ⅓ avg 711ms
Headshot accuracy13.8%+3.6%
first ⅓ avg 10.2% → last ⅓ avg 13.8%

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

0.07Best rating — vertigo 13–4
13–1Biggest win — train
4Longest win streak
6–4In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 63% over 8infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%-0.06
mirageB209–1145%-0.06
nukeD113–827%-0.08
infernoD102–820%-0.06
vertigoA85–363%-0.04
ancientD82–625%-0.06
anubisA53–260%-0.04
trainC52–340%-0.04
poseidon—41–325%-0.05
cache—43–175%-0.04
overpass—20–20%-0.11
rooftop—10–10%-0.13
dogtown—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.2%Headshot accuracy
24.7%Accuracy (enemy spotted)
27.5%Spray accuracy
59.6%Counter-strafing
11.1°Preaim
699msReaction time
14.0%T opening success
21.8%CT opening success
0.66Enemies flashed / flash
7.3%Flash assists
1.72HE damage / grenade
3.47Flashes / 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 13.2141% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4747 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 14.0294% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
poseidon6–9-0.0729%18 Aug →
nuke13–9-0.1027%16 Aug →
mirage13–4-0.070%16 Aug →
vertigo10–13-0.077%9 Aug →
dust213–4-0.0725%9 Aug →
nuke13–9-0.0516%13 Jul →
cache13–9-0.028%15 May →
cache13–5-0.0010%15 May →
cache9–13-0.0517%15 May →
cache13–5-0.069%15 May →
poseidon6–9-0.0714%20 Apr →
inferno9–70.0316%20 Apr →
mirage12–12-0.0817%17 Apr →
dust29–13-0.0510%9 Apr →
mirage12–12-0.0122%9 Apr →
vertigo13–7-0.039%4 Apr →
ancient8–13-0.032%29 Mar →
dust210–13-0.0118%29 Mar →
mirage13–80.0127%28 Mar →
anubis13–70.0114%28 Mar →
dust25–13-0.0814%28 Mar →
mirage3–13-0.1123%20 Mar →
dust23–13-0.096%20 Mar →
mirage12–12-0.0312%20 Mar →
dust213–10-0.0915%14 Mar →
vertigo13–8-0.120%14 Mar →
nuke6–13-0.0811%14 Mar →
vertigo6–13-0.1016%8 Mar →
inferno10–13-0.0910%13 Feb →
mirage13–6-0.047%13 Feb →
vertigo13–40.0716%11 Feb →
mirage12–12-0.0417%11 Feb →
poseidon9–70.039%11 Feb →
poseidon3–9-0.110%11 Feb →
mirage13–5-0.086%9 Feb →
nuke2–9-0.107%7 Feb →
dust211–130.0317%7 Feb →
mirage13–5-0.0514%5 Feb →
nuke8–13-0.039%5 Feb →
nuke10–13-0.090%2 Feb →
mirage13–9-0.0613%2 Feb →
mirage7–13-0.110%1 Feb →
nuke12–12-0.109%1 Feb →
anubis13–8-0.058%1 Feb →
train13–10.039%1 Feb →
dust212–12-0.0513%30 Jan →
inferno7–13-0.0416%30 Jan →
dust27–13-0.0123%29 Jan →
dust212–12-0.0420%28 Jan →
mirage0–13-0.0811%28 Jan →
train13–5-0.0416%28 Jan →
anubis2–13-0.110%28 Jan →
dust213–11-0.0511%26 Jan →
mirage11–13-0.0410%26 Jan →
inferno3–13-0.090%26 Jan →
mirage13–4-0.0221%26 Jan →
dust213–11-0.076%26 Jan →
inferno3–13-0.113%26 Jan →
inferno10–13-0.074%25 Jan →
mirage13–7-0.088%25 Jan →
anubis13–7-0.0213%25 Jan →
dust20–13-0.1618%23 Jan →
mirage13–6-0.0713%23 Jan →
inferno5–13-0.0717%21 Jan →
nuke11–13-0.1012%21 Jan →
nuke6–13-0.086%19 Jan →
dust213–11-0.0815%19 Jan →
train8–13-0.0815%15 Jan →
overpass6–13-0.079%15 Jan →
inferno12–12-0.064%15 Jan →
dust20–13-0.1017%12 Jan →
dust213–7-0.0515%9 Jan →
ancient4–13-0.0913%9 Jan →
vertigo9–50.038%9 Jan →
rooftop6–9-0.138%9 Jan →
dust26–3-0.070%8 Jan →
ancient13–5-0.0115%8 Jan →
mirage5–13-0.089%8 Jan →
vertigo9–13-0.053%5 Jan →
train12–12-0.0412%5 Jan →
nuke13–5-0.1113%5 Jan →
inferno13–11-0.007%4 Jan →
ancient6–13-0.077%4 Jan →
inferno11–11-0.0814%4 Jan →
mirage9–130.0117%21 Dec →
dust24–13-0.0632%21 Dec →
dust212–12-0.0610%18 Dec →
ancient8–13-0.097%18 Dec →
ancient0–13-0.090%20 Nov →
anubis9–13-0.027%6 Oct →
dust26–13-0.078%6 Oct →
mirage2–13-0.170%2 Oct →
nuke4–13-0.0616%2 Oct →
ancient13–7-0.0212%23 Sept →
overpass4–9-0.1625%7 Sept →
vertigo13–9-0.036%11 Aug →
dust213–10-0.059%11 Aug →
ancient7–13-0.069%31 Jul →
train10–13-0.076%31 Jul →
dogtown8–8-0.076%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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