fast Ed — CS2 Stats

76561198110594346[U:1:150328618]✓ No bans

634Tracked matches39%Win rate2020Tracked since
CSDB Rating4.2 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGfast EdFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning38
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY39529Last 10039%Win rateLLWLWWTLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim5.5
Aggression4.7
Utility4.5
Positioning3.8
Opening Duels0.7

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 81% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 608ms 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
Positioning3.8
Utility4.5
Mechanics5.7
Opening Duels0.8
Win Impact1.4

Composite 4.2/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time605ms−36ms
first ⅓ avg 641ms → last ⅓ avg 605ms
Headshot accuracy20.6%−1.3%
first ⅓ avg 21.9% → last ⅓ avg 20.6%

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.

Highlights

0.13Best rating — inferno 13–8
130Biggest win — inferno
4Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2D32112134%-0.00
infernoD1651131%-0.00
cacheD134931%0.01
mirageB137654%-0.00
ancientD62433%0.01
trainC52340%0.01
nukeA53260%0.02
anubis41325%-0.01
overpass32167%-0.03
warden21150%-0.01
stronghold110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). 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.

20.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
29.0%Spray accuracy
75.5%Counter-strafing
9.8°Preaim
608msReaction time
29.5%T opening success
36.5%CT opening success
0.58Enemies flashed / flash
7.8%Flash assists
10.23HE damage / grenade
6.18Flashes / 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 29.4983% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0324%28 Aug
train8–13-0.0623%28 Aug
mirage13–110.1016%27 Aug
inferno10–130.0525%27 Aug
dust213–8-0.0215%26 Aug
train13–2-0.0126%26 Aug
train12–120.0620%25 Aug
dust27–13-0.0323%20 Aug
ancient3–130.0215%20 Aug
anubis13–80.018%28 Jul
mirage13–100.0125%28 Jul
dust211–13-0.0217%24 Jul
cache5–130.0315%24 Jul
dust25–13-0.0724%23 May
dust21–130.0024%23 May
mirage5–13-0.0317%23 May
cache4–130.0220%23 May
dust212–120.0724%23 May
cache13–110.0532%23 May
dust213–9-0.0227%22 May
cache13–80.0417%22 May
inferno7–13-0.0215%22 May
dust211–13-0.0314%22 May
overpass16–120.039%20 May
inferno6–13-0.0023%20 May
anubis4–13-0.0221%20 May
overpass13–10-0.0314%19 May
inferno13–00.0435%19 May
dust29–13-0.0419%19 May
inferno9–13-0.0426%18 May
ancient13–100.0319%18 May
dust27–130.0028%18 May
inferno5–13-0.0520%18 May
mirage2–130.0120%17 May
nuke13–110.0623%16 May
dust213–10-0.0318%16 May
dust22–13-0.0538%16 May
dust213–90.0413%16 May
nuke13–80.0625%16 May
cache7–130.0615%14 May
cache12–120.0029%7 May
cache7–130.0116%4 May
mirage6–13-0.0020%4 May
dust212–120.0327%4 May
dust28–13-0.0025%2 May
warden4–13-0.0718%2 May
cache13–20.0222%2 May
cache12–12-0.0112%2 May
cache2–13-0.075%29 Apr
cache13–30.0532%29 Apr
cache3–13-0.0226%29 Apr
ancient13–110.0121%21 Apr
dust213–9-0.0116%21 Apr
anubis3–13-0.0021%21 Apr
ancient6–130.0015%13 Apr
dust213–9-0.0222%13 Apr
inferno12–12-0.0710%13 Apr
mirage12–12-0.0821%13 Apr
nuke9–6-0.0422%13 Apr
stronghold13–80.0819%12 Apr
inferno13–70.0221%12 Apr
dust29–13-0.0125%12 Apr
dust24–13-0.0322%12 Apr
dust213–8-0.0021%28 Feb
mirage11–70.0132%28 Feb
dust26–130.015%18 Feb
mirage13–40.0521%18 Feb
inferno8–13-0.0415%12 Feb
dust27–130.0814%12 Feb
nuke11–13-0.0020%12 Feb
ancient7–130.018%12 Feb
dust216–120.0319%12 Feb
dust210–13-0.0227%11 Feb
mirage5–13-0.0031%11 Feb
inferno6–13-0.0817%11 Feb
inferno11–130.0129%10 Feb
mirage13–80.0316%10 Feb
inferno13–40.0338%9 Feb
dust213–70.0721%9 Feb
inferno13–80.1319%7 Feb
dust20–13-0.085%7 Feb
mirage13–4-0.0127%7 Feb
nuke9–130.0119%7 Feb
ancient9–13-0.0114%6 Feb
dust212–12-0.0122%6 Feb
train2–4-0.0460%6 Feb
dust25–130.0224%5 Feb
dust21–13-0.0221%5 Feb
dust213–90.0120%5 Feb
mirage3–13-0.0917%5 Feb
anubis6–13-0.0416%4 Feb
train13–70.1015%4 Feb
warden6–20.0447%4 Feb
overpass4–13-0.0912%4 Feb
mirage13–9-0.0318%3 Feb
inferno3–9-0.0219%3 Feb
dust213–100.0429%3 Feb
dust211–130.0831%3 Feb
inferno13–11-0.0017%2 Feb
inferno12–120.0118%2 Feb

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 →