Databaze

Databaze — CS2 Stats

76561198834113945[U:1:873848217]Steam profile ↗✓ No bans

316Tracked matches43%Win rate2022Tracked since
515Hours in CS
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating14,532Blue band · top ~30.9% of ranked players (population est.)
CSDB Leaderboard#9267 of 13989 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGDatabazeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,532 · Blue bandcsdb.gg/stats

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Performance scores

Aim87
Positioning65
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateWLWWWLLLWL

Last 10 vs previous 10: +10pp win rate · -0.05 avg rating

Player DNA

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

Aim8.7
Aggression6.3
Utility4.2
Positioning6.5
Opening Duels3.8
Clutch3.4

Sharp aimerExcellent counter-strafingStrong 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

iM

Plays most like iM 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 668ms 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

Aim8.7
Positioning6.5
Utility4.2
Mechanics8.7
Opening Duels3.8
Win Impact2.6

Composite 6.2/10 (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 rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time665ms−7ms
first ⅓ avg 671ms → last ⅓ avg 665ms
Headshot accuracy27.1%+5.5%
first ⅓ avg 21.6% → last ⅓ avg 27.1%

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

0.19Best rating — vertigo 9–7
132Biggest win — dust2
4Longest win streak
66In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 71% over 7cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.02
mirageC1761135%0.05
infernoA159660%0.01
vertigoB126650%0.05
nukeD92722%0.04
ancientS75271%0.05
anubisD62433%0.01
cacheD51420%0.05
train330100%0.04
overpass220100%0.05
shelter1010%-0.02
office1010%0.00

Across the last 100 tracked matches.

Lifetime stats

31,213Lifetime kills
0.86K/D
1,648Matches
38.0%Match win rate
56.2%Headshot % · Top 25% of tracked players
8.6%Shot accuracy
4,262MVPs
515Hours (in match)
853Bombs planted
307Bombs defused

Most-used weapons

Lifetime map wins

2,158dust2
1,870vertigo
1,632inferno
606nuke
310train
103office
70lake
41cbble

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

Faceit stats

Combat

112Matches
40%Win rate
1.12Avg K/D
95.9ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
31%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1662%1.3019.1
Dust2862%1.3318.0
Inferno580%1.8722.6
Ancient580%1.6122.2
Anubis425%1.8019.3
Nuke250%1.7217.0
Vertigo1100%1.6213.0
Overpass1100%1.6720.0

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.

27.3%Headshot accuracy
38.0%Accuracy (enemy spotted)
41.3%Spray accuracy
89.2%Counter-strafing
9.1°Preaim
668msReaction time
35.5%T opening success
55.2%CT opening success
0.54Enemies flashed / flash
2.7%Flash assists
8.03HE damage / grenade
14.29Flashes / 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 35.5021% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–20.0712%27 Aug
cache3–130.0316%27 Aug
vertigo9–30.1011%17 Aug
mirage13–7-0.059%16 Aug
inferno13–3-0.0435%16 Aug
inferno5–130.0026%15 Aug
anubis7–130.0318%12 Aug
mirage7–130.1015%12 Aug
dust213–50.0723%12 Aug
dust210–130.0335%12 Aug
nuke9–130.0427%11 Aug
dust29–130.0436%10 Aug
mirage13–80.1625%9 Aug
mirage5–130.0528%9 Aug
vertigo9–70.1926%5 Aug
vertigo12–120.1529%5 Aug
nuke8–130.0422%2 Aug
nuke13–90.1338%2 Aug
mirage1–13-0.0030%1 Aug
cache13–60.0243%31 Jul
dust24–130.0231%31 Jul
shelter1–13-0.0225%31 Jul
vertigo13–100.0740%30 Jul
mirage13–50.1425%30 Jul
dust213–60.1418%30 Jul
cache3–130.0119%25 Jul
mirage10–130.0219%25 Jul
inferno6–9-0.0042%24 Jul
vertigo1–13-0.0128%24 Jul
office4–130.0043%20 Jul
vertigo13–60.0548%20 Jul
cache12–120.1116%18 Jul
inferno13–90.0438%16 Jul
vertigo8–80.0124%12 Jul
dust26–13-0.0227%20 Jun
dust213–30.0522%8 Jun
dust24–13-0.0025%5 Jun
mirage11–130.0621%5 Jun
anubis10–13-0.0120%31 May
cache11–130.0918%14 May
vertigo13–90.0614%14 May
inferno1–13-0.0425%2 Apr
ancient8–130.0633%29 Mar
dust213–7-0.0317%29 Mar
mirage12–120.1313%27 Mar
inferno13–30.0819%25 Mar
dust215–150.0230%23 Mar
nuke8–130.0528%22 Mar
dust216–14-0.0333%22 Mar
inferno13–11-0.0025%21 Mar
mirage8–130.1024%21 Mar
vertigo9–130.0429%13 Mar
nuke9–130.0922%7 Mar
dust213–100.0016%2 Mar
ancient13–50.1124%2 Mar
inferno7–9-0.0213%7 Feb
dust28–130.0225%2 Feb
inferno8–130.0226%25 Jan
inferno4–13-0.079%1 Jan
dust24–130.0124%30 Nov
vertigo4–9-0.0918%30 Nov
overpass13–110.0529%26 Nov
overpass13–90.0539%26 Nov
ancient13–90.0118%25 Nov
mirage6–13-0.0512%29 Oct
vertigo13–70.0121%26 Oct
dust211–13-0.0321%19 Aug
nuke1–13-0.0229%19 Aug
ancient13–30.1414%18 Aug
dust213–3-0.0116%18 Aug
nuke16–130.0320%14 Aug
dust213–30.0322%13 Aug
mirage5–13-0.0425%10 Aug
ancient4–13-0.0120%8 Aug
train13–80.0427%5 Aug
inferno13–30.0538%5 Aug
mirage11–130.0318%25 Jul
inferno13–50.1617%25 Jul
ancient13–90.0014%19 Jul
mirage13–8-0.0223%7 Jul
anubis13–50.0813%3 Jul
anubis11–13-0.0116%1 Jul
dust213–90.0718%30 Jun
anubis7–13-0.0525%26 Jun
mirage13–50.0933%18 Jun
nuke4–130.0322%18 Jun
dust24–12-0.0526%16 Jun
mirage9–20.0219%13 Jun
dust213–90.0534%7 Jun
inferno13–70.0136%5 Jun
anubis13–70.0012%1 Jun
mirage3–130.0422%31 May
vertigo6–130.0119%30 May
nuke3–13-0.0111%27 May
train13–110.0318%21 May
ancient13–70.0614%9 May
inferno13–11-0.0212%9 May
dust21–11-0.0540%19 Mar
train13–90.0517%11 Mar
inferno13–10-0.0324%26 Jan

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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