D₳Ɏ₩₳ℓ₭€Ꞧ

D₳Ɏ₩₳ℓ₭€Ꞧ — CS2 Stats

76561199057010252[U:1:1096744524]Steam profile ↗✓ No bans

747Tracked matches41%Win rate2024Tracked since
403Hours in CS
CSDB Rating4.1 Developing
Premier CS Rating14,704Blue band · top ~30% of ranked players (population est.)
CSDB Leaderboard#23848 of 38114 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate57.9%42.7%44.0%above
Shot accuracy0.1%10.8%11.6%11.6% short
Kill/death ratio0.711.001.030.32 short
Match win rate40.2%44.1%45.1%4.9% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGD₳Ɏ₩₳ℓ₭€ꞦFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,704 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning36
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateTWLLWWLWLL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim5.9
Aggression3.0
Utility2.3
Positioning3.6
Opening Duels0.3
Clutch7.4

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 70% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 661ms 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

Aim5.9
Positioning3.6
Utility2.3
Mechanics8.1
Opening Duels0.5
Win Impact2.1

Composite 4.1/10 (Developing), 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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time661ms−2ms
first ⅓ avg 664ms → last ⅓ avg 661ms
Headshot accuracy18.5%−1.1%
first ⅓ avg 19.6% → last ⅓ avg 18.5%

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

0.08Best rating — inferno 9–3
134Biggest win — ancient
7Longest win streak
88In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 64% over 14mirageWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB24121250%-0.03
nukeA159660%-0.01
dust2A149564%-0.04
overpassB136746%-0.04
ancientB126650%-0.03
trainC104640%-0.07
mirageD6060%-0.04
anubis41325%-0.01
office110100%-0.01
vertigo110100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,376Lifetime kills
0.71K/D
1,108Matches
40.2%Match win rate
57.9%Headshot % · Top 10% of Level 4 players
0.1%Shot accuracy
1,513MVPs
403Hours (in match)
917Bombs planted
252Bombs defused

Most-used weapons

Lifetime map wins

1,363nuke
1,046inferno
927vertigo
697dust2
641train
130office
13italy
2ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

29Matches
52%Win rate
0.99Avg K/D
69.3ADR
49%Headshot %

Clutches & streaks

57%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1050%1.0213.9
Ancient667%0.9611.0
Vertigo333%1.0512.7
Inferno367%0.8316.0
Train250%1.7618.0
Anubis20%0.407.5
Dust2250%0.9218.0
Nuke1100%0.9314.0

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.

18.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
35.2%Spray accuracy
86.5%Counter-strafing
12.0°Preaim
661msReaction time
29.2%T opening success
33.6%CT opening success
0.34Enemies flashed / flash
5.4%Flash assists
6.47HE damage / grenade
1.00Flashes / 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 12.0287° — above the 12° 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 0.3444 — below the 0.5 mark we flag

    Grenade Lineups
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0812%14 Mar
ancient13–60.0420%14 Mar
dust27–13-0.1012%14 Mar
nuke11–130.0428%14 Mar
nuke13–7-0.0618%14 Feb
dust213–10-0.0218%14 Feb
inferno13–16-0.0325%14 Feb
nuke13–7-0.0817%14 Feb
inferno9–13-0.0629%8 Feb
anubis4–13-0.0618%8 Feb
overpass13–6-0.0226%8 Feb
dust213–9-0.0421%8 Feb
mirage7–13-0.0326%8 Feb
overpass5–13-0.088%7 Feb
nuke13–80.0316%7 Feb
overpass4–13-0.094%7 Feb
overpass13–50.0014%7 Feb
inferno8–13-0.0212%7 Feb
dust210–13-0.0824%7 Feb
mirage10–13-0.0514%7 Feb
mirage3–11-0.0239%1 Feb
ancient7–13-0.0528%1 Feb
anubis10–130.0216%1 Feb
overpass4–130.0121%1 Feb
inferno5–13-0.039%1 Feb
inferno13–8-0.0618%1 Feb
overpass13–80.0426%1 Feb
ancient13–7-0.068%1 Feb
inferno16–14-0.0318%31 Jan
anubis9–13-0.0316%31 Jan
train11–13-0.0921%3 Jan
overpass9–13-0.0519%3 Jan
train10–13-0.059%2 Jan
inferno13–9-0.0512%2 Jan
inferno13–16-0.0219%31 Dec
dust29–13-0.0324%31 Dec
overpass13–10-0.058%31 Dec
ancient11–13-0.0428%31 Dec
inferno13–10-0.0426%30 Dec
nuke10–13-0.1131%30 Dec
overpass4–13-0.0619%30 Dec
office13–9-0.0117%24 Dec
inferno13–5-0.0119%24 Dec
ancient11–13-0.048%21 Dec
nuke7–00.0613%21 Dec
inferno13–70.0016%21 Dec
dust213–60.0123%21 Dec
dust213–8-0.0618%21 Dec
train8–13-0.0718%21 Dec
inferno13–6-0.0314%21 Dec
nuke13–16-0.0017%20 Dec
dust213–5-0.0817%20 Dec
inferno11–13-0.0512%20 Dec
nuke9–13-0.0222%20 Dec
inferno8–130.0019%20 Dec
nuke9–30.0826%14 Dec
inferno9–30.0823%14 Dec
overpass13–7-0.0716%14 Dec
train13–11-0.0710%14 Dec
vertigo13–7-0.0419%14 Dec
anubis13–60.0123%14 Dec
inferno13–11-0.0322%13 Dec
inferno11–13-0.0621%7 Dec
dust216–13-0.0313%7 Dec
inferno6–13-0.0421%7 Dec
train1–13-0.156%7 Dec
nuke15–15-0.0413%7 Dec
inferno13–11-0.0630%7 Dec
ancient16–12-0.0315%6 Dec
nuke13–110.0621%6 Dec
dust26–13-0.0428%6 Dec
overpass16–13-0.1123%27 Nov
ancient13–4-0.0221%27 Nov
inferno13–6-0.026%27 Nov
dust210–13-0.0420%23 Nov
ancient7–13-0.1022%23 Nov
train16–14-0.0421%23 Nov
inferno4–13-0.0720%16 Nov
nuke13–7-0.0920%16 Nov
ancient13–8-0.0518%16 Nov
inferno11–13-0.0718%15 Nov
train11–13-0.0820%15 Nov
ancient10–130.0124%8 Nov
train8–13-0.0320%8 Nov
inferno13–11-0.0317%7 Nov
nuke5–13-0.0223%2 Nov
ancient13–9-0.0522%2 Nov
mirage9–13-0.0425%2 Nov
mirage15–15-0.0317%26 Oct
ancient5–13-0.019%26 Oct
train13–9-0.0513%26 Oct
dust213–7-0.0622%26 Oct
inferno10–13-0.0320%25 Oct
dust213–90.0126%25 Oct
overpass6–13-0.0413%25 Oct
overpass4–13-0.0623%25 Oct
nuke13–10-0.0118%25 Oct
train13–8-0.0713%19 Oct
nuke13–11-0.0118%19 Oct
dust213–6-0.0423%19 Oct

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 →