Firestone

Firestone — CS2 Stats

76561199092834816[U:1:1132569088]Steam profile ↗✓ No bans

281Tracked matches47%Win rate2024Tracked since
312Hours in CS
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating12,015Blue band · top ~44.2% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 12,015 +52 21 Mar – 1 Oct · 12 days played
10,86413,013peak 13,01321 Mar1 Oct
13,013Peak Premier in tracked matches
31Days played since 2026-03-21

Premier CS Rating

  • 998 below peak (13,013)
  • Next: Purple band at 15,000 — 2,985 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.3%42.0%44.3%7.0% short
Shot accuracy2.3%9.6%11.9%9.6% short
Kill/death ratio1.250.981.03above
Match win rate48.9%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGFirestonePREMIER12,015 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning48
Utility36

0–100 skill scores via Leetify.

Recent form

HOT48–47–5Last 10048%Win rateWWWWLWWWWL

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +0.5pp headshot accuracy · −51ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 597ms

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 (+2.7 against its own average).

Aim6.6
Utility3.6
Positioning4.8
Opening Duels0.0
Clutch0.0

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

sh1ro

Plays most like sh1ro 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower 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.

Reaction time. 568ms 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

Aim6.6
Positioning4.8
Utility3.6
Mechanics5.4
Opening Duels1.1
Win Impact3.9

Composite 4.6/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time577ms−66ms
first ⅓ avg 643ms → last ⅓ avg 577ms
Headshot accuracy13.5%−0.4%
first ⅓ avg 13.9% → last ⅓ avg 13.5%

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

0.33Best match rating · 9–2 · inferno, 9 Jul →
35%Best headshot accuracy · 9–13 · cache, 16 Aug →
438msFastest reaction time · 13–4 · inferno, 21 Sept →
13–0Biggest win · mirage, 16 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
5–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 80% over 5anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA3017–1357%0.03
mirageD174–1324%-0.03
dust2A138–562%-0.00
cacheA127–558%-0.02
nukeD72–529%0.02
vertigoS54–180%-0.00
anubisD51–420%-0.00
ancient—41–325%-0.05
overpass—30–30%0.04
office—22–0100%-0.02
eldorado—11–0100%0.09
debris—11–0100%0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,136Lifetime kills
1.25K/D · Top 10% of Blue band
951Matches
48.9%Match win rate · Top 25% of Blue band
37.3%Headshot %
2.3%Shot accuracy
3,171MVPs
312Hours (in match)
1,355Bombs planted
323Bombs defused

Most-used weapons

Lifetime map wins

1,284nuke
1,260inferno
1,238dust2
525vertigo
105train
87office
22cbble
9lake

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

Faceit stats

Combat

2Matches
50%Win rate
0.90Avg K/D
57.4ADR
48%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1100%1.008.0
Inferno10%0.7911.0

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.

12.9%Headshot accuracy
36.3%Accuracy (enemy spotted)
35.9%Spray accuracy
74.5%Counter-strafing
8.8°Preaim
568msReaction time
38.4%T opening success
30.7%CT opening success
0.39Enemies flashed / flash
2.5%Flash assists
9.83HE damage / grenade
8.00Flashes / 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 12.9367% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3895 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.3803% — 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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–140.039%1 Oct →
inferno13–40.0622%1 Oct →
inferno13–110.1315%1 Oct →
inferno13–3-0.0318%30 Sept →
overpass8–130.0411%30 Sept →
dust213–70.0410%29 Sept →
office13–9-0.0615%29 Sept →
office9–40.0210%29 Sept →
dust213–5-0.046%28 Sept →
dust23–13-0.1211%28 Sept →
nuke8–13-0.0516%27 Sept →
dust213–11-0.0310%27 Sept →
mirage6–13-0.0417%27 Sept →
dust22–13-0.0117%26 Sept →
cache13–2-0.1011%26 Sept →
mirage6–13-0.100%26 Sept →
overpass7–130.0524%26 Sept →
mirage4–13-0.047%25 Sept →
inferno1–130.0512%25 Sept →
vertigo13–10-0.038%24 Sept →
inferno6–130.025%24 Sept →
anubis7–13-0.0614%24 Sept →
nuke5–130.0716%24 Sept →
inferno4–130.0121%24 Sept →
vertigo13–50.0413%23 Sept →
vertigo13–10-0.0112%23 Sept →
inferno6–130.0717%23 Sept →
inferno13–70.0723%23 Sept →
vertigo11–130.0111%23 Sept →
inferno8–13-0.038%22 Sept →
inferno13–10-0.0112%22 Sept →
overpass11–130.0317%21 Sept →
inferno13–40.1129%21 Sept →
inferno9–5-0.0110%16 Aug →
mirage15–15-0.0217%16 Aug →
cache9–130.0635%16 Aug →
nuke14–16-0.0115%16 Aug →
cache8–130.027%16 Aug →
mirage13–0-0.029%16 Aug →
inferno13–60.0210%15 Aug →
ancient7–13-0.076%15 Aug →
inferno13–90.0913%15 Aug →
inferno13–5-0.014%15 Aug →
mirage3–13-0.049%15 Aug →
inferno13–100.039%14 Aug →
anubis6–130.0510%14 Aug →
inferno6–130.0120%14 Aug →
inferno16–120.075%14 Aug →
dust213–20.058%14 Aug →
dust29–130.0210%13 Aug →
ancient4–13-0.034%12 Aug →
mirage4–13-0.0916%12 Aug →
anubis13–30.0221%12 Aug →
inferno13–9-0.046%12 Aug →
ancient13–5-0.0218%12 Aug →
inferno13–110.0112%12 Aug →
inferno4–130.0114%12 Aug →
nuke13–9-0.0415%11 Aug →
inferno8–13-0.0920%11 Aug →
vertigo13–4-0.0117%10 Aug →
nuke7–130.0213%10 Aug →
nuke8–80.1315%9 Aug →
inferno2–9-0.1317%9 Aug →
mirage13–60.0519%9 Aug →
mirage5–13-0.0116%10 Jul →
dust216–130.0215%10 Jul →
dust213–20.026%10 Jul →
anubis5–13-0.037%10 Jul →
mirage9–13-0.0417%10 Jul →
anubis6–130.0118%10 Jul →
cache13–7-0.034%10 Jul →
inferno8–80.1112%9 Jul →
cache16–12-0.0313%9 Jul →
mirage13–4-0.0615%9 Jul →
ancient7–13-0.0715%9 Jul →
mirage11–13-0.0215%9 Jul →
inferno9–20.3321%9 Jul →
dust213–70.0431%9 Jul →
cache7–13-0.0114%9 Jul →
mirage4–13-0.0211%9 Jul →
inferno13–70.1310%9 Jul →
eldorado9–60.0933%9 Jul →
debris9–60.1327%9 Jul →
mirage7–9-0.130%29 Jun →
cache13–9-0.0016%5 Jun →
cache8–130.0115%5 Jun →
mirage4–13-0.0111%5 Jun →
cache13–60.0317%5 Jun →
inferno9–50.1616%5 Jun →
cache13–11-0.180%18 May →
inferno8–8-0.1215%18 May →
cache13–70.0620%13 May →
cache0–4-0.070%6 May →
dust24–130.030%30 Apr →
inferno8–80.0921%17 Apr →
inferno5–9-0.132%17 Apr →
mirage10–13-0.0416%14 Apr →
dust213–90.0215%7 Apr →
dust29–13-0.0526%21 Mar →
mirage13–50.028%21 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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