fired

fired — CS2 Stats

AO76561198037243416[U:1:76977688]Steam profile ↗✓ No bans

684Tracked matches46%Win rate2020Tracked since
1,178Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating19,677Top 50% of 180,525 CSDB-tracked playersPurple band · top ~9.8% of ranked players (population est.)
CSDB Leaderboard#80251 of 227096 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 22 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,677 -1,010 25 Jul9 Sept · 15 days played
19,67721,815peak 21,81525 Jul9 Sept
21,815Peak Premier in tracked matches
26Days played since 2026-07-22

Premier CS Rating

  • 2,138 below peak (21,815)
  • -1,341 over 30 days · declining
  • Next: Pink band at 20,000 323 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=35,214), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate43.3%44.3%47.0%3.7% short
Shot accuracy12.8%11.8%13.0%meets
Kill/death ratio0.991.031.080.09 short
Match win rate40.0%45.2%46.7%6.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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CSDB.GGfiredPREMIER19,677 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning57
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateWLLLLWLWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.5pp headshot accuracy · +6ms reaction

Win rate +10pp 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

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 672ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 611ms

Last 20

  • 7121 · 35% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 608ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim7.9
Utility4.7
Positioning5.7
Opening Duels3.8
Clutch3.2

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

iM

Plays most like iM 99% playstyle similarity

Most alike: aim profile, opening-duel success.

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

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 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim7.9
Positioning5.7
Utility4.7
Mechanics7.9
Opening Duels2.5
Win Impact3.8

Composite 6.0/10 (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+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time621ms−13ms
first ⅓ avg 634ms → last ⅓ avg 621ms
Headshot accuracy20.9%+2.9%
first ⅓ avg 18.0% → last ⅓ avg 20.9%

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

0.16Best match rating · 13–1 · vertigo, 31 Jul
36%Best headshot accuracy · 3–13 · mirage, 8 Aug
469msFastest reaction time · 13–9 · mirage, 8 Sept
13–1Biggest win · dust2, 9 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
77In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 88% over 8infernoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC24101442%0.03
infernoC2071335%0.01
cacheA169756%-0.01
anubisC156940%0.00
vertigoS87188%0.07
dust2S64267%0.01
nuke43175%-0.01
train32167%0.03
ancient3030%-0.03
office1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,215Lifetime kills
0.99K/D
2,930Matches
40.0%Match win rate
43.3%Headshot %
12.8%Shot accuracy · Top 50% of Purple band
6,047MVPs
1,178Hours (in match)
2,719Bombs planted
492Bombs defused

Most-used weapons

AK-4720,364
FAMAS1,722
MP91,703
MAC-101,497
P2501,186

Lifetime map wins

2,282dust2
2,099inferno
757nuke
715vertigo
643train
330cbble
60office
17bank

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

Faceit stats

Combat

20Matches
55%Win rate
1.37Avg K/D
84.5ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage667%1.5419.0
Cache367%2.1912.3
Ancient333%0.8713.3
Anubis367%1.3019.0
Dust220%1.0319.0
Inferno250%0.8414.5
Vertigo1100%1.2316.0

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.

20.9%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.9%Spray accuracy
85.7%Counter-strafing
8.6°Preaim
610msReaction time
27.7%T opening success
49.9%CT opening success
0.41Enemies flashed / flash
5.2%Flash assists
7.52HE damage / grenade
7.72Flashes / 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 0.409 — below the 0.5 mark we flag

    Grenade Lineups
  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 27.6857% — below the 40% mark we flag

Spend your practice time on Inferno

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–60.0318%12 Sept
anubis3–130.0224%11 Sept
anubis0–3-0.0225%11 Sept
inferno2–130.0225%11 Sept
mirage11–13-0.0017%11 Sept
dust213–10.0312%9 Sept
mirage9–13-0.0320%9 Sept
mirage13–60.0822%9 Sept
mirage1–90.0714%9 Sept
vertigo13–50.0721%8 Sept
cache11–130.0224%8 Sept
mirage13–90.0732%8 Sept
mirage13–11-0.0122%7 Sept
anubis4–13-0.0317%7 Sept
mirage13–40.1127%5 Sept
cache4–13-0.0534%5 Sept
inferno7–130.0814%5 Sept
inferno12–120.0616%5 Sept
nuke6–130.0716%2 Sept
inferno6–130.1421%2 Sept
mirage13–30.0414%2 Sept
mirage13–110.0219%30 Aug
cache13–8-0.0528%30 Aug
mirage11–130.0211%27 Aug
anubis10–13-0.0415%27 Aug
cache13–100.0130%27 Aug
inferno8–13-0.0529%23 Aug
anubis13–100.0725%23 Aug
cache13–40.0319%22 Aug
mirage12–120.0519%14 Aug
dust213–70.0614%14 Aug
cache13–110.0220%14 Aug
vertigo10–130.0328%14 Aug
inferno13–90.0716%14 Aug
office6–13-0.0832%14 Aug
train11–13-0.0418%14 Aug
inferno5–13-0.0311%14 Aug
mirage9–13-0.0020%14 Aug
inferno13–80.0023%14 Aug
nuke7–3-0.1118%9 Aug
inferno3–13-0.0923%9 Aug
dust215–150.0320%8 Aug
mirage3–13-0.1236%8 Aug
ancient8–13-0.0411%7 Aug
cache13–110.0126%7 Aug
mirage11–130.0419%7 Aug
anubis16–120.0429%7 Aug
mirage13–30.1110%7 Aug
inferno11–13-0.0126%7 Aug
mirage9–13-0.0322%7 Aug
anubis6–13-0.0625%7 Aug
cache13–60.0323%7 Aug
inferno3–130.0214%7 Aug
cache4–13-0.0519%7 Aug
inferno13–100.0326%6 Aug
cache6–13-0.0815%5 Aug
ancient10–13-0.0622%5 Aug
mirage13–50.0421%5 Aug
vertigo13–60.0517%5 Aug
inferno6–13-0.0530%4 Aug
cache7–1-0.0313%4 Aug
inferno7–13-0.0513%4 Aug
mirage13–160.1113%3 Aug
anubis16–130.0626%3 Aug
inferno16–140.0322%1 Aug
dust27–13-0.0717%1 Aug
cache6–13-0.106%1 Aug
anubis6–13-0.0418%1 Aug
mirage10–130.0214%31 Jul
train13–70.0624%31 Jul
cache13–50.0329%31 Jul
anubis4–13-0.107%31 Jul
inferno13–80.0216%31 Jul
vertigo13–50.1029%31 Jul
vertigo13–10.1618%31 Jul
mirage13–10.0726%31 Jul
vertigo13–60.1013%31 Jul
mirage13–40.0125%29 Jul
nuke13–110.0320%29 Jul
anubis9–13-0.0515%29 Jul
vertigo13–10.0515%29 Jul
nuke13–9-0.0221%29 Jul
dust213–4-0.0426%29 Jul
mirage8–130.0028%29 Jul
dust213–90.0221%25 Jul
anubis11–13-0.0010%25 Jul
inferno3–13-0.0219%25 Jul
cache13–40.0713%25 Jul
train13–100.0613%24 Jul
vertigo13–90.0320%24 Jul
anubis13–110.0217%24 Jul
cache7–130.0623%24 Jul
mirage8–13-0.0315%24 Jul
inferno13–5-0.0113%24 Jul
anubis13–100.0213%23 Jul
ancient2–130.0126%23 Jul
cache10–13-0.0217%23 Jul
inferno12–12-0.038%23 Jul
mirage9–13-0.0110%22 Jul
anubis13–20.1213%22 Jul

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 →