_/-^-\_ — CS2 Stats

76561198360023657[U:1:399757929]✓ No bans

4,871Tracked matches48%Win rate2023Tracked since
5,239Hours in CS35Hrs last 2 wks
CSDB Rating3.5 Learning
FaceitLevel 3 · 915 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate46.0%42.1%42.5%above
Shot accuracy3.8%12.1%10.9%7.1% short
Kill/death ratio0.980.990.99meets
Match win rate41.1%43.9%44.2%3.1% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG_/-^-\_FACEITLevel 3 · 915 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning36
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY444610Last 10044%Win rateLLWLLTWWWW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim4.4
Aggression1.4
Utility6.2
Positioning3.6
Opening Duels0.0
Clutch4.2

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 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 32% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim4.4
Positioning3.6
Utility6.2
Mechanics3.1
Opening Duels0.3
Win Impact4.4

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time552ms−107ms
first ⅓ avg 658ms → last ⅓ avg 552ms
Headshot accuracy21.3%−1.3%
first ⅓ avg 22.7% → last ⅓ avg 21.3%

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

0.28Best rating — inferno 9–3
132Biggest win — nuke
4Longest win streak
L2Current streak
98In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 71% over 14mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2181338%0.04
infernoC1771041%0.03
nukeS1410471%0.03
cacheD134931%0.00
mirageD72529%0.02
officeA74357%-0.00
vertigoD62433%0.01
anubis41325%0.00
ancient32167%0.03
debris3030%0.01
overpass220100%0.02
train1010%0.03
boulder110100%0.01
fachwerk110100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,425Lifetime kills
0.98K/D
5,956Matches
41.1%Match win rate
46.0%Headshot % · Top 50% of Level 3 players
3.8%Shot accuracy
14,845MVPs
2,055Hours (in match)
7,729Bombs planted
1,934Bombs defused

Most-used weapons

AK-4726,803
AWP5,968
MAC-102,936
MP92,656
P2501,387

Lifetime map wins

8,031dust2
6,938inferno
5,788nuke
4,537vertigo
1,727office
1,026train
190italy
107lake

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

Faceit stats

Combat

617Matches
47%Win rate
1.11Avg K/D
77.4ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17251%1.1015.3
Dust211650%1.1514.6
Inferno7946%1.2315.1
Ancient6746%1.0115.0
Nuke5540%1.1015.6
Anubis5143%1.0314.9
Vertigo3135%1.0115.6
Overpass2070%1.3416.4

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.

21.9%Headshot accuracy
30.2%Accuracy (enemy spotted)
31.1%Spray accuracy
63.7%Counter-strafing
12.5°Preaim
569msReaction time
8.5%T opening success
32.1%CT opening success
0.54Enemies flashed / flash
6.3%Flash assists
8.42HE damage / grenade
20.06Flashes / 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 12.4698° — above the 12° mark we flag

    Aim Training
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis4–130.059%29 Aug
cache9–130.0120%28 Aug
cache13–90.0417%28 Aug
mirage5–130.1921%28 Aug
vertigo7–13-0.0627%27 Aug
nuke12–12-0.0927%25 Aug
dust213–70.0323%25 Aug
ancient13–60.1524%25 Aug
mirage13–11-0.0021%25 Aug
ancient13–7-0.0424%24 Aug
inferno3–130.0524%24 Aug
inferno13–30.049%24 Aug
vertigo1–13-0.0324%23 Aug
nuke16–140.0215%23 Aug
cache5–13-0.1317%23 Aug
ancient12–12-0.0325%23 Aug
dust216–14-0.0431%22 Aug
inferno1–13-0.0731%22 Aug
train12–120.0336%20 Aug
nuke13–80.0719%19 Aug
dust29–130.0527%19 Aug
dust213–30.128%18 Aug
cache2–130.000%18 Aug
nuke7–130.0121%16 Aug
nuke13–20.065%16 Aug
office2–13-0.0518%15 Aug
nuke13–110.1424%14 Aug
inferno11–13-0.0025%9 Aug
nuke13–10-0.0314%9 Aug
inferno6–9-0.0129%9 Aug
dust26–13-0.0942%8 Aug
anubis13–8-0.0122%8 Aug
dust22–11-0.0426%6 Aug
cache11–130.0425%5 Aug
nuke5–00.1925%5 Aug
dust29–13-0.0529%3 Aug
overpass13–6-0.0522%3 Aug
cache7–13-0.0315%2 Aug
cache13–70.0335%2 Aug
dust213–70.0416%2 Aug
cache6–13-0.0425%31 Jul
vertigo13–70.0918%31 Jul
nuke7–13-0.0318%31 Jul
dust26–130.0117%31 Jul
office13–90.017%30 Jul
nuke5–20.0723%30 Jul
anubis3–13-0.0126%30 Jul
dust28–13-0.0417%30 Jul
dust213–50.1729%30 Jul
mirage3–13-0.0330%29 Jul
inferno8–80.0128%29 Jul
inferno7–130.0037%28 Jul
vertigo12–120.0418%28 Jul
dust214–160.0429%27 Jul
nuke13–9-0.0120%27 Jul
cache6–13-0.038%25 Jul
dust29–130.0523%25 Jul
dust211–130.0323%25 Jul
inferno9–7-0.0027%24 Jul
vertigo5–9-0.0230%24 Jul
inferno9–30.0938%24 Jul
nuke8–8-0.0111%24 Jul
office13–30.0435%23 Jul
vertigo13–100.0332%23 Jul
office11–13-0.0122%22 Jul
office4–13-0.0726%22 Jul
overpass13–110.0917%21 Jul
dust28–130.0719%21 Jul
debris7–90.0031%21 Jul
dust213–90.0445%21 Jul
dust22–130.0218%19 Jul
office13–80.0321%19 Jul
cache12–12-0.0119%19 Jul
mirage0–130.0236%18 Jul
inferno13–11-0.0433%18 Jul
dust213–20.1413%18 Jul
inferno13–10-0.0532%18 Jul
cache13–11-0.0226%18 Jul
inferno2–12-0.047%18 Jul
cache13–90.0918%17 Jul
nuke13–90.0223%17 Jul
boulder13–60.0124%17 Jul
anubis11–13-0.0217%15 Jul
dust25–130.1020%15 Jul
mirage13–110.0711%15 Jul
inferno11–130.0828%15 Jul
office7–10.0417%14 Jul
cache12–120.1124%14 Jul
dust29–130.0726%14 Jul
mirage6–13-0.0729%14 Jul
fachwerk13–90.0421%14 Jul
mirage4–13-0.0722%13 Jul
inferno7–130.0212%13 Jul
inferno9–30.2825%13 Jul
inferno8–80.0424%13 Jul
debris8–80.0723%13 Jul
inferno13–70.0718%10 Jul
nuke13–7-0.0331%10 Jul
dust213–20.0721%10 Jul
debris3–9-0.0514%9 Jul

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 →