Linux Man

Linux Man — CS2 Stats

GB76561198042809454[U:1:82543726]Steam profile ↗✓ No bans

841Tracked matches46%Win rate2020Tracked since
2,142Hours in CS30Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
WingmanSilver I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,854 +98 26 May – 5 Jul · 21 days played
11,11813,631peak 13,63126 May5 Jul
13,631Peak Premier in tracked matches
47Days played since 2026-05-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim87
Positioning72
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateWWTLLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.3pp headshot accuracy · +21ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 494ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 31%
  • Avg reaction 508ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 497ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim8.7
Utility2.9
Positioning7.2
Opening Duels5.4

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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.

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

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

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
Positioning7.2
Utility2.9
Mechanics7.3
Opening Duels7.9
Win Impact3.8

Composite 6.7/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time508ms−52ms
first ⅓ avg 560ms → last ⅓ avg 508ms
Headshot accuracy28.6%+2.9%
first ⅓ avg 25.7% → last ⅓ avg 28.6%

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.

Personal bests

0.17Best match rating · 13–3 · nuke, 11 Sept →
52%Best headshot accuracy · 10–13 · nuke, 23 Oct →
406msFastest reaction time · 5–4 · nuke, 16 Jun →
13–3Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 6officeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2916–1355%0.02
dust2C188–1044%0.03
ancientD144–1029%0.02
mirageC125–742%-0.02
infernoA116–555%0.01
cacheS64–267%-0.01
officeD61–517%0.03
anubis—31–233%0.03
overpass—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

74,875Lifetime kills
1.19K/D · Top 25% of tracked players
3,873Matches
36.5%Match win rate
39.7%Headshot %
10.9%Shot accuracy
8,188MVPs
1,231Hours (in match)
2,574Bombs planted
757Bombs defused

Most-used weapons

AWP18,295
AK-4715,514
P901,995
SSG 081,666
MAC-101,648

Lifetime map wins

8,901nuke
6,269office
3,289dust2
2,616inferno
360cbble
355train
203vertigo
71ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.8%Spray accuracy
83.0%Counter-strafing
9.7°Preaim
508msReaction time
67.3%T opening success
55.9%CT opening success
0.50Enemies flashed / flash
2.9%Flash assists
4.42HE damage / grenade
8.57Flashes / 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. 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 0.4979 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0419%25 Oct →
dust213–90.1033%25 Oct →
nuke15–150.0832%24 Oct →
inferno5–130.0119%24 Oct →
dust26–13-0.0333%24 Oct →
nuke13–30.0248%24 Oct →
nuke9–130.0328%24 Oct →
cache13–60.0518%23 Oct →
nuke10–130.0652%23 Oct →
cache13–10-0.0229%21 Oct →
mirage0–13-0.0829%21 Oct →
nuke13–100.0335%20 Oct →
nuke13–110.0233%19 Oct →
ancient13–60.0921%19 Oct →
mirage8–13-0.0423%19 Oct →
mirage13–8-0.0014%18 Oct →
nuke1–13-0.0543%18 Oct →
mirage12–120.1113%18 Oct →
dust213–50.1630%18 Oct →
nuke11–13-0.0228%16 Oct →
office9–130.0426%15 Oct →
dust24–13-0.0219%15 Oct →
office13–90.1016%15 Oct →
inferno4–13-0.0525%14 Oct →
dust213–70.0937%13 Oct →
office6–13-0.0631%9 Oct →
ancient8–130.0228%5 Oct →
nuke13–100.0332%22 Sept →
nuke11–13-0.0528%22 Sept →
cache1–13-0.0822%21 Sept →
nuke13–80.0840%21 Sept →
nuke13–30.1736%11 Sept →
mirage9–13-0.0026%11 Sept →
cache13–11-0.0039%11 Sept →
anubis15–150.0511%7 Sept →
office7–130.0333%6 Sept →
office8–130.0442%26 Aug →
nuke13–100.0013%2 Aug →
office12–120.0324%22 Jul →
ancient11–130.0420%21 Jul →
dust215–150.1016%20 Jul →
inferno6–130.0435%20 Jul →
cache9–13-0.0325%7 Jul →
ancient11–130.0630%5 Jul →
mirage13–100.0137%28 Jun →
inferno13–7-0.0221%28 Jun →
inferno13–70.0426%28 Jun →
nuke11–130.0123%22 Jun →
nuke13–30.0650%22 Jun →
inferno13–3-0.0222%22 Jun →
mirage8–13-0.0820%21 Jun →
mirage13–7-0.0818%17 Jun →
ancient13–100.0422%17 Jun →
nuke9–13-0.0624%17 Jun →
mirage11–13-0.0413%16 Jun →
nuke13–11-0.0119%16 Jun →
nuke5–40.0312%16 Jun →
mirage13–4-0.0413%15 Jun →
nuke13–110.0428%15 Jun →
ancient7–130.1020%14 Jun →
dust24–13-0.0310%14 Jun →
nuke8–130.0433%14 Jun →
ancient13–70.0521%14 Jun →
dust28–13-0.0319%13 Jun →
anubis13–60.0827%13 Jun →
nuke13–70.0322%12 Jun →
dust213–50.0940%12 Jun →
dust213–60.0530%11 Jun →
ancient13–160.0331%11 Jun →
nuke13–70.0018%11 Jun →
ancient13–70.0023%10 Jun →
dust213–110.0135%9 Jun →
nuke11–130.0622%9 Jun →
ancient7–13-0.0323%8 Jun →
ancient10–130.1031%8 Jun →
inferno5–13-0.0838%7 Jun →
nuke8–13-0.0111%6 Jun →
inferno13–60.1131%6 Jun →
dust27–130.0537%4 Jun →
nuke13–9-0.0425%4 Jun →
ancient6–13-0.0326%4 Jun →
anubis8–13-0.0319%3 Jun →
mirage9–13-0.0020%3 Jun →
nuke12–120.0330%3 Jun →
dust213–3-0.0318%3 Jun →
dust26–130.0123%3 Jun →
ancient5–13-0.0118%1 Jun →
inferno13–30.0910%1 Jun →
dust29–13-0.0332%1 Jun →
nuke11–130.0749%31 May →
dust26–130.0130%31 May →
nuke13–90.0136%29 May →
inferno16–130.0128%29 May →
dust213–100.0728%29 May →
inferno7–130.0124%29 May →
overpass15–15-0.0312%29 May →
ancient9–13-0.1311%27 May →
dust25–130.0425%27 May →
nuke16–12-0.0031%26 May →
mirage16–14-0.0126%26 May →

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 →

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