eQu — CS2 Stats

76561197975031029[U:1:14765301]

1,809Tracked matches66%Win rate2020Tracked since
2,984Hours in CS
CSDB Rating6.3 SolidAggressive Rifler
FaceitLevel 9 · 1,899 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate44.7%49.0%52.0%7.4% short
Shot accuracy11.8%13.1%13.7%1.9% short
Kill/death ratio0.971.081.080.11 short
Match win rate45.0%46.9%48.8%3.8% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGeQuFACEITLevel 9 · 1,899 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY50491Last 10050%Win rateLWWLWLLLWW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression7.3
Utility5.9
Positioning5.0
Opening Duels3.3
Clutch4.4

Strong CT-side opener

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

b1t

Plays most like b1t 94% playstyle similarity

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

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning5.0
Utility5.9
Mechanics6.3
Opening Duels3.3
Win Impact10.0

Composite 6.3/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time508ms−67ms
first ⅓ avg 574ms → last ⅓ avg 508ms
Headshot accuracy14.2%−1.9%
first ⅓ avg 16.1% → last ⅓ avg 14.2%

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 — ancient 13–8
131Biggest win — cache
9Longest win streak
96In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 71% over 17anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
ancientA24141058%0.01
infernoS1712571%0.01
anubisD1751229%0.01
nukeA159660%0.03
mirageD134931%0.00
cacheA74357%0.03
dust241325%-0.01
vertigo21150%0.01
train1010%0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

137,019Lifetime kills
0.97K/D
6,684Matches
45.0%Match win rate
44.7%Headshot %
11.8%Shot accuracy
16,306MVPs
2,984Hours (in match)
8,251Bombs planted
1,626Bombs defused

Most-used weapons

AK-4751,404
AWP14,091
P2503,553
FAMAS2,358
Knife2,071

Lifetime map wins

12,717dust2
11,335inferno
7,305nuke
4,027train
701vertigo
557cbble
257aztec
202office

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

Faceit stats

Combat

2,016Matches
50%Win rate
1.03Avg K/D
78.5ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis27153%1.0615.6
Ancient23554%1.0515.4
Mirage22948%0.9514.3
Nuke18755%1.1215.9
Inferno15944%1.0314.2
Dust28144%0.9414.0
Train3949%1.0315.3
Cache1856%1.0415.2

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.

14.1%Headshot accuracy
39.5%Accuracy (enemy spotted)
44.7%Spray accuracy
78.3%Counter-strafing
9.0°Preaim
509msReaction time
35.1%T opening success
51.1%CT opening success
0.58Enemies flashed / flash
6.4%Flash assists
9.00HE damage / grenade
9.25Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1362% — below the 15% mark we flag

    Aim Training
  2. 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 35.1435% — below the 40% mark we flag

Spend your practice time on Anubis

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 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0930%22 Aug
mirage13–6-0.0311%22 Aug
ancient13–10-0.0323%22 Aug
ancient6–13-0.0916%20 Aug
anubis22–190.0213%20 Aug
nuke12–160.0019%20 Aug
ancient11–130.039%20 Aug
nuke11–130.0415%20 Aug
cache16–140.0810%19 Aug
anubis13–9-0.0314%19 Aug
anubis15–19-0.0311%19 Aug
nuke13–100.0413%18 Aug
anubis13–60.0513%17 Aug
cache13–60.0124%17 Aug
inferno13–70.0313%17 Aug
mirage15–15-0.0011%16 Aug
ancient16–140.108%16 Aug
inferno13–60.1113%16 Aug
nuke13–9-0.0215%16 Aug
anubis13–30.017%16 Aug
dust213–9-0.0228%16 Aug
nuke13–40.0316%16 Aug
inferno13–50.0512%14 Aug
cache13–10.069%14 Aug
ancient13–11-0.007%14 Aug
dust210–130.0115%14 Aug
mirage13–7-0.0111%14 Aug
anubis9–130.0412%14 Aug
anubis6–130.0015%14 Aug
inferno10–13-0.0117%14 Aug
nuke8–130.0116%14 Aug
mirage18–220.019%13 Aug
ancient13–40.0513%13 Aug
nuke13–80.0515%13 Aug
nuke13–80.1314%13 Aug
vertigo9–13-0.0516%13 Aug
ancient13–110.0512%13 Aug
mirage7–130.0215%13 Aug
inferno13–70.0528%12 Aug
mirage14–16-0.029%12 Aug
inferno10–13-0.0112%10 Aug
anubis7–130.1222%10 Aug
mirage13–70.0411%10 Aug
anubis4–13-0.0422%10 Aug
ancient13–20.0414%8 Aug
nuke13–30.0518%8 Aug
inferno13–10-0.0215%7 Aug
mirage9–13-0.0314%7 Aug
ancient13–40.0513%7 Aug
mirage13–100.0220%7 Aug
anubis10–13-0.0523%6 Aug
ancient13–8-0.0215%6 Aug
inferno13–90.0416%6 Aug
anubis13–110.0814%6 Aug
dust25–13-0.0415%6 Aug
ancient6–13-0.0118%5 Aug
anubis9–13-0.0016%5 Aug
inferno13–110.0116%5 Aug
ancient4–13-0.0213%5 Aug
anubis10–13-0.024%4 Aug
mirage10–130.058%4 Aug
anubis9–130.0115%3 Aug
ancient19–16-0.0213%3 Aug
mirage7–13-0.048%2 Aug
cache13–100.0118%2 Aug
dust211–130.0114%2 Aug
inferno13–90.0215%2 Aug
ancient8–13-0.096%1 Aug
ancient13–9-0.0315%1 Aug
anubis9–13-0.082%31 Jul
ancient13–16-0.0310%31 Jul
nuke6–13-0.0220%31 Jul
ancient7–13-0.0226%31 Jul
inferno13–110.0519%30 Jul
ancient13–90.0520%30 Jul
inferno9–13-0.0423%30 Jul
anubis10–130.0311%29 Jul
ancient16–140.0012%29 Jul
ancient23–250.0214%29 Jul
ancient13–90.0712%28 Jul
cache10–130.0312%28 Jul
train7–130.1120%28 Jul
nuke13–160.069%28 Jul
ancient13–80.1318%28 Jul
inferno6–13-0.0123%28 Jul
mirage12–160.0519%27 Jul
nuke13–5-0.0131%27 Jul
ancient8–130.0715%27 Jul
vertigo13–80.0620%27 Jul
mirage7–13-0.0024%27 Jul
cache6–130.0340%27 Jul
inferno13–10-0.066%27 Jul
inferno9–40.0729%27 Jul
nuke13–100.0218%20 Jul
cache11–130.0110%20 Jul
nuke18–220.0112%20 Jul
nuke13–70.0415%20 Jul
inferno13–110.0120%20 Jul
anubis3–13-0.014%20 Jul
ancient2–8-0.140%15 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 →