Delay (Translated in French)

Delay (Translated in French) — CS2 Stats

76561198099656121[U:1:139390393]Steam profile ↗✓ No bans

1,259Tracked matches57%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim61
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

COLD454312Last 10045%Win rateLLLLLWLWLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression5.0
Utility5.7
Positioning5.5
Opening Duels1.8

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 90% playstyle similarity

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

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. 589ms 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

Aim6.1
Positioning5.5
Utility5.7
Mechanics6.0
Opening Duels1.8
Win Impact7.4

Composite 5.6/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time591ms−43ms
first ⅓ avg 634ms → last ⅓ avg 591ms
Headshot accuracy12.8%−0.4%
first ⅓ avg 13.2% → last ⅓ avg 12.8%

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

0.18Best rating — cache 13–8
130Biggest win — ancient
4Longest win streak
L5Current streak
63In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 58% over 12infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheB178947%0.03
mirageC1661038%-0.01
ancientA169756%0.03
nukeC156940%0.02
trainA127558%0.04
infernoD103730%-0.01
dust2A74357%-0.01
anubis2020%0.02
overpass21150%0.03
vertigo21150%0.05
boulder1010%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% 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.

11.9%Headshot accuracy
39.6%Accuracy (enemy spotted)
38.4%Spray accuracy
77.2%Counter-strafing
12.1°Preaim
589msReaction time
31.3%T opening success
43.1%CT opening success
0.62Enemies flashed / flash
13.2%Flash assists
18.84HE damage / grenade
5.14Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1052° — above the 12° mark we flag

    Aim Training
  2. 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 11.8619% — below the 15% mark we flag

    Aim Training
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
train5–130.0622%26 Aug
mirage8–130.049%26 Aug
inferno7–13-0.064%25 Aug
ancient7–13-0.038%25 Aug
ancient3–13-0.0811%24 Aug
cache13–90.0610%24 Aug
nuke9–130.0810%24 Aug
dust213–90.0210%24 Aug
dust28–130.0211%22 Aug
train13–80.029%22 Aug
anubis12–120.068%22 Aug
mirage13–2-0.007%22 Aug
nuke13–70.058%22 Aug
mirage6–13-0.018%20 Aug
inferno13–110.0116%20 Aug
nuke4–3-0.0445%20 Aug
train13–50.0322%19 Aug
nuke13–60.0613%19 Aug
train11–13-0.023%19 Aug
nuke11–13-0.0213%19 Aug
cache13–80.1815%18 Aug
train13–80.129%18 Aug
ancient13–70.0011%18 Aug
mirage13–4-0.0522%17 Aug
nuke12–120.047%17 Aug
ancient13–100.0813%16 Aug
cache8–13-0.0514%14 Aug
overpass13–40.1312%14 Aug
vertigo9–70.1117%14 Aug
inferno3–13-0.0616%14 Aug
mirage6–13-0.0816%14 Aug
nuke12–120.058%13 Aug
ancient13–6-0.0213%13 Aug
train13–80.0913%13 Aug
cache5–13-0.0115%12 Aug
nuke13–80.0311%12 Aug
ancient4–130.059%12 Aug
dust212–12-0.034%12 Aug
mirage1–10-0.084%12 Aug
cache9–130.0210%12 Aug
ancient7–130.017%11 Aug
cache12–120.0612%11 Aug
inferno6–130.0313%11 Aug
nuke12–120.0813%10 Aug
ancient13–90.0513%10 Aug
vertigo12–12-0.0015%9 Aug
cache0–11-0.0010%9 Aug
mirage1–13-0.0412%9 Aug
inferno8–13-0.049%9 Aug
nuke13–50.1317%7 Aug
ancient15–15-0.0113%7 Aug
mirage4–13-0.0611%7 Aug
dust23–13-0.0525%6 Aug
cache11–13-0.005%6 Aug
nuke7–13-0.035%5 Aug
train13–90.159%5 Aug
train10–13-0.025%3 Aug
ancient13–00.048%2 Aug
mirage12–120.0618%2 Aug
train12–120.0613%1 Aug
ancient8–13-0.0214%29 Jul
mirage13–90.0819%29 Jul
anubis7–13-0.0311%29 Jul
ancient13–50.168%28 Jul
train13–110.019%28 Jul
mirage6–130.049%28 Jul
inferno13–10-0.0111%27 Jul
nuke13–10-0.0122%27 Jul
cache8–13-0.0213%26 Jul
dust213–9-0.018%24 Jul
cache13–50.0113%23 Jul
boulder6–13-0.0014%23 Jul
mirage13–3-0.0213%23 Jul
inferno13–40.0911%22 Jul
nuke7–13-0.0210%18 Jul
nuke13–16-0.0420%17 Jul
dust213–6-0.0017%17 Jul
inferno8–13-0.0314%17 Jul
cache13–80.066%17 Jul
cache5–130.037%2 Jul
train13–9-0.0116%29 May
cache8–130.0112%29 May
ancient13–100.1110%29 May
cache13–7-0.038%25 May
inferno12–120.0521%20 May
cache13–90.078%20 May
mirage10–13-0.0317%15 May
ancient10–13-0.0113%15 May
mirage13–11-0.0314%14 May
nuke1–13-0.066%14 May
ancient13–40.1122%13 May
inferno5–13-0.056%13 May
overpass7–13-0.069%13 May
train9–130.0323%13 May
mirage13–40.0215%13 May
cache13–110.0612%13 May
ancient13–10-0.0116%11 May
mirage12–12-0.0013%11 May
cache13–100.0013%11 May
dust213–60.0113%9 May

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 →