logarithm

logarithm — CS2 Stats

US76561199014537561[U:1:1054271833]Steam profile ↗

1,048Tracked matches50%Win rate2023Tracked since
1,238Hours in CS10Hrs last 2 wks
CSDB Rating6.2 SolidAggressive Rifler
Premier CS Rating17,412Purple band · top ~18.8% of ranked players (population est.)
CSDB Leaderboard#15828 of 29462 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.0%44.2%44.9%3.8% short
Shot accuracy6.5%11.2%11.8%5.4% short
Kill/death ratio1.271.041.04above
Match win rate48.2%45.3%45.3%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlogarithmFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,412 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning53
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateLWLLWWWLWL

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

Player DNA

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

Aim7.4
Aggression7.4
Utility6.4
Positioning5.3
Opening Duels3.6
Clutch5.2

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 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim7.4
Positioning5.3
Utility6.4
Mechanics7.6
Opening Duels3.6
Win Impact5.0

Composite 6.2/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time650ms−3ms
first ⅓ avg 653ms → last ⅓ avg 650ms
Headshot accuracy15.1%−1.0%
first ⅓ avg 16.1% → last ⅓ avg 15.1%

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

0.21Best rating — inferno 13–3
133Biggest win — mirage
4Longest win streak
67In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 75% over 16anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2181338%-0.02
cacheB1991047%0.02
infernoS1612475%0.05
ancientB158753%0.01
nukeA116555%0.01
anubisD92722%-0.00
dust231233%-0.03
overpass2020%-0.02
vertigo21150%-0.03
train21150%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,315Lifetime kills
1.27K/D · Top 25% of Level 5 players
1,754Matches
48.2%Match win rate · Top 25% of Level 5 players
41.0%Headshot %
6.5%Shot accuracy
4,050MVPs
682Hours (in match)
2,015Bombs planted
551Bombs defused

Most-used weapons

Lifetime map wins

2,574inferno
1,990nuke
1,673dust2
926vertigo
531train
118office
33cbble
31italy

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

Faceit stats

Combat

20Matches
60%Win rate
1.22Avg K/D
83.6ADR
38%Headshot %

Clutches & streaks

46%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.0517.8
Dust2250%1.4525.0
Ancient2100%2.5319.0
Anubis20%0.6511.0
Vertigo250%0.7812.5
Nuke250%1.0418.5
Cache1100%1.5517.0
Inferno1100%1.6016.0

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.

15.1%Headshot accuracy
41.0%Accuracy (enemy spotted)
41.4%Spray accuracy
84.4%Counter-strafing
10.7°Preaim
648msReaction time
33.2%T opening success
55.8%CT opening success
0.61Enemies flashed / flash
5.4%Flash assists
11.39HE damage / grenade
9.49Flashes / 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 33.2026% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache3–130.0535%29 Aug
ancient13–90.0315%29 Aug
mirage7–130.0117%29 Aug
nuke6–13-0.0516%20 Aug
mirage13–30.0117%20 Aug
ancient13–100.037%10 Aug
inferno13–110.1012%10 Aug
anubis5–13-0.0912%6 Aug
inferno13–10-0.0224%5 Aug
mirage6–130.0420%5 Aug
cache3–13-0.0621%5 Aug
cache10–13-0.0116%1 Aug
inferno13–80.0411%1 Aug
ancient11–13-0.0117%1 Aug
mirage13–10-0.027%31 Jul
nuke9–130.0713%30 Jul
inferno12–160.0312%30 Jul
nuke13–10-0.0119%30 Jul
anubis13–90.0524%30 Jul
mirage5–13-0.0013%30 Jul
mirage16–13-0.0414%28 Jul
ancient13–30.0218%28 Jul
mirage3–13-0.0511%28 Jul
inferno13–90.0419%28 Jul
nuke13–30.1015%28 Jul
dust210–13-0.0111%27 Jul
anubis1–130.047%27 Jul
inferno4–130.0421%27 Jul
cache13–8-0.018%27 Jul
nuke13–60.029%26 Jul
mirage13–110.0113%26 Jul
inferno13–90.0310%26 Jul
cache11–13-0.0317%26 Jul
mirage13–3-0.0113%25 Jul
inferno1–8-0.0123%25 Jul
mirage13–3-0.008%25 Jul
anubis11–13-0.0310%25 Jul
cache13–50.0413%25 Jul
anubis6–13-0.0318%25 Jul
mirage8–13-0.049%25 Jul
nuke7–13-0.0011%25 Jul
mirage13–9-0.0510%24 Jul
mirage15–150.038%24 Jul
inferno13–30.2119%24 Jul
ancient7–130.0210%23 Jul
ancient13–60.0410%23 Jul
ancient9–13-0.0710%23 Jul
cache13–60.0623%23 Jul
anubis10–130.0811%23 Jul
ancient13–80.1017%23 Jul
cache10–130.0313%21 Jul
inferno16–140.0521%21 Jul
inferno13–40.0022%21 Jul
ancient9–130.078%21 Jul
nuke3–13-0.0413%21 Jul
mirage11–13-0.0416%21 Jul
cache13–9-0.0219%21 Jul
inferno13–8-0.079%11 Jul
cache13–30.079%11 Jul
inferno13–90.0619%10 Jul
mirage11–13-0.0813%10 Jul
cache9–130.006%10 Jul
cache13–60.0417%10 Jul
mirage15–15-0.0213%10 Jul
cache14–160.0512%10 Jul
cache11–130.0224%6 Jul
cache13–110.0120%6 Jul
nuke4–13-0.0610%5 Jul
mirage8–13-0.0713%5 Jul
ancient8–13-0.0211%5 Jul
dust213–6-0.0515%5 Jul
mirage13–11-0.0210%5 Jul
mirage5–13-0.0417%5 Jul
ancient13–100.0315%3 Jul
nuke13–7-0.0323%3 Jul
dust212–16-0.0315%17 Jun
overpass2–13-0.0523%17 Jun
ancient16–12-0.018%17 Jun
ancient9–13-0.069%17 Jun
inferno15–15-0.0331%17 Jun
nuke13–60.0613%17 Jun
anubis6–13-0.085%17 Jun
anubis13–90.0414%10 Jun
inferno13–80.1022%10 Jun
vertigo13–11-0.0010%8 Jun
inferno13–50.1827%17 May
anubis8–130.0216%6 May
nuke13–80.0415%6 May
mirage4–13-0.048%6 May
cache13–70.0113%29 Apr
mirage5–13-0.0525%29 Apr
cache4–130.0827%29 Apr
cache13–10-0.016%29 Apr
cache9–130.0519%29 Apr
ancient13–80.0315%24 Apr
train8–130.0118%24 Apr
train10–60.0511%24 Apr
vertigo3–13-0.0532%17 Apr
ancient5–13-0.0317%17 Apr
overpass10–130.0120%17 Apr

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 →