Clyde

Clyde — CS2 Stats

76561199054034731[U:1:1093769003]Steam profile ↗✓ No bans

965Tracked matches34%Win rate2023Tracked since
CSDB Rating2.1 Learning
Premier CS Rating12,531Blue band · top ~41.5% of ranked players (population est.)
CSDB Leaderboard#14515 of 20816 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGClydeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER12,531 · Blue bandcsdb.gg/stats

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Performance scores

Aim15
Positioning39
Utility42

0–100 skill scores via Leetify.

Recent form

COLD33652Last 10033%Win rateLLLLLLLWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim1.5
Aggression1.6
Utility4.2
Positioning3.9
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 65% 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

T-side openings. Opening success drops from 34% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 755ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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
Positioning3.9
Utility4.2
Mechanics1.9
Opening Duels0.5
Win Impact0.0

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time759ms+21ms
first ⅓ avg 738ms → last ⅓ avg 759ms
Headshot accuracy19.5%+0.9%
first ⅓ avg 18.6% → last ⅓ avg 19.5%

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

0.06Best rating — mirage 13–8
132Biggest win — anubis
6Longest win streak
L7Current streak
86In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 12ancientWeakest map · 11% over 18
MapGradePlayedRecordWin rateAvg rating
nukeD2041620%-0.05
ancientD1821611%-0.05
infernoD1441029%-0.03
dust2D134931%-0.04
overpassS128467%-0.04
mirageA116555%-0.02
anubisA95456%-0.02
cache2020%-0.04
train1010%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
21%Win rate
0.48Avg K/D
ADR
43%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke540%0.528.2
Mirage425%0.458.5
Vertigo30%0.477.7
Anubis20%0.468.0
Ancient250%0.6511.0
Inferno10%0.406.0
Overpass10%0.5717.0
Dust210%0.214.0

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
23.5%Accuracy (enemy spotted)
26.3%Spray accuracy
58.5%Counter-strafing
11.0°Preaim
755msReaction time
18.3%T opening success
34.3%CT opening success
0.44Enemies flashed / flash
4.0%Flash assists
7.41HE damage / grenade
6.02Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 754.5811ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4379 — below the 0.5 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 18.3217% — below the 40% mark we flag

Spend your practice time on Ancient

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

11% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.048%18 Jun
dust27–13-0.0547%19 May
ancient2–13-0.1314%19 May
cache7–13-0.0423%4 May
cache9–13-0.0513%2 May
ancient10–13-0.0513%28 Apr
inferno10–130.0329%21 Apr
dust213–8-0.0221%21 Apr
overpass13–10-0.0129%20 Apr
anubis11–13-0.032%14 Apr
overpass0–13-0.0426%14 Apr
nuke7–13-0.1217%13 Apr
mirage7–13-0.0511%13 Apr
dust29–13-0.1011%31 Mar
dust213–11-0.0519%31 Mar
train12–12-0.0326%31 Mar
overpass13–50.0026%30 Mar
inferno2–13-0.0923%30 Mar
mirage10–13-0.0331%30 Mar
nuke4–13-0.1116%30 Mar
ancient6–13-0.084%29 Mar
dust213–3-0.0538%26 Mar
mirage13–11-0.0811%26 Mar
ancient13–4-0.0115%26 Mar
overpass13–4-0.0628%24 Mar
dust26–13-0.0118%24 Mar
ancient16–14-0.0718%24 Mar
mirage13–10-0.0227%19 Mar
nuke2–13-0.0238%19 Mar
dust24–13-0.0616%19 Mar
nuke4–13-0.088%17 Mar
ancient10–13-0.0910%17 Mar
anubis13–60.0110%16 Mar
nuke13–6-0.0213%16 Mar
inferno6–13-0.0913%16 Mar
mirage13–110.0313%16 Mar
nuke4–13-0.0421%15 Mar
anubis13–5-0.0129%12 Mar
nuke13–8-0.0515%12 Mar
anubis13–5-0.0315%11 Mar
mirage13–80.0628%11 Mar
overpass13–80.0428%11 Mar
nuke13–7-0.0113%11 Mar
anubis10–13-0.0212%10 Mar
nuke12–160.0114%10 Mar
mirage13–110.0423%9 Mar
ancient11–130.0015%7 Mar
nuke4–13-0.0216%7 Mar
dust210–13-0.0122%7 Mar
nuke10–13-0.0716%7 Mar
overpass13–7-0.0216%5 Mar
inferno13–90.0124%5 Mar
anubis16–130.0113%4 Mar
ancient9–13-0.0211%3 Mar
nuke9–13-0.0425%3 Mar
overpass9–13-0.0518%3 Mar
inferno14–16-0.0312%2 Mar
anubis13–20.0423%2 Mar
ancient8–13-0.0613%2 Mar
ancient11–13-0.0817%26 Feb
mirage4–13-0.077%23 Feb
dust26–13-0.0314%23 Feb
ancient4–13-0.100%21 Feb
mirage7–13-0.0520%21 Feb
dust29–13-0.0123%20 Feb
ancient10–13-0.0316%20 Feb
nuke5–13-0.0917%20 Feb
dust28–13-0.0733%20 Feb
dust210–13-0.0213%18 Feb
inferno6–13-0.0418%18 Feb
nuke6–13-0.0522%18 Feb
nuke8–13-0.074%17 Feb
ancient7–13-0.049%17 Feb
inferno13–8-0.0326%16 Feb
overpass13–110.0117%16 Feb
ancient5–13-0.0119%16 Feb
overpass11–13-0.0415%13 Feb
anubis14–16-0.0610%13 Feb
ancient1–13-0.0629%13 Feb
nuke5–13-0.0115%12 Feb
anubis15–15-0.0622%12 Feb
overpass13–11-0.0522%12 Feb
inferno7–13-0.0640%12 Feb
overpass13–7-0.0814%12 Feb
overpass2–13-0.1238%11 Feb
inferno9–13-0.0120%11 Feb
ancient8–13-0.0311%11 Feb
nuke13–9-0.046%10 Feb
inferno2–13-0.0812%10 Feb
inferno10–13-0.0730%6 Feb
mirage13–80.0015%4 Feb
inferno13–40.0120%4 Feb
nuke6–13-0.0110%3 Feb
dust213–11-0.0510%3 Feb
inferno10–13-0.0222%3 Feb
ancient9–130.0418%3 Feb
inferno13–90.0115%2 Feb
nuke10–13-0.0322%31 Jan
nuke10–13-0.0628%29 Jan
mirage4–13-0.059%29 Jan

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 →