Firaal

Firaal — CS2 Stats

BR76561198219323547[U:1:259057819]Steam profile ↗✓ No bans

1,793Tracked matches60%Win rate2020Tracked since
6,413Hours in CS
CSDB Rating6.3 SolidSupport
Premier CS Rating28,269Top 5% of 215,558 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)
CSDB Leaderboard#2641 of 261662 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 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: 28,269 +1,229 29 Aug – 14 Nov · 29 days played
26,74629,385peak 29,38529 Aug14 Nov
29,504Peak Premier in tracked matches
30Days played since 2026-08-29

Premier CS Rating

  • 1,116 below peak (29,385)
  • +538 over 30 days · improving
  • +1,229 over 90 days
  • Next: Gold band at 30,000 — 1,731 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

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 Level 8 among CSDB-tracked players (n=15,878), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.3%46.8%48.2%3.9% short
Shot accuracy10.8%13.0%13.2%2.4% short
Kill/death ratio0.791.061.070.28 short
Match win rate37.1%46.3%46.9%9.8% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFiraalFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER28,269 · Red bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim68
Positioning54
Utility66

0–100 skill scores via Leetify.

Recent form

COLD54–44–2Last 10054%Win rateLWLWLLLLLW

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −4.9pp headshot accuracy · +17ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 627ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 600ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim6.8
Utility6.6
Positioning5.4
Opening Duels1.5
Clutch3.8

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 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 585ms 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

Aim6.8
Positioning5.4
Utility6.6
Mechanics6.3
Opening Duels1.6
Win Impact8.3

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time589ms+21ms
first ⅓ avg 568ms → last ⅓ avg 589ms
Headshot accuracy15.6%+1.1%
first ⅓ avg 14.5% → last ⅓ avg 15.6%

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

0.11Best match rating · 13–8 · mirage, 9 Nov →
45%Best headshot accuracy · 13–1 · inferno, 23 Oct →
375msFastest reaction time · 13–7 · inferno, 11 Nov →
13–0Biggest win · mirage, 22 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2817–1161%-0.00
dust2B199–1047%-0.00
cacheC146–843%-0.01
infernoC125–742%0.01
ancientS96–367%0.02
anubisA95–456%-0.00
nukeA85–363%0.02
overpass—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

366,066Lifetime kills
0.79K/D
13,021Matches
37.1%Match win rate
44.3%Headshot %
10.8%Shot accuracy
21,032MVPs
6,413Hours (in match)
14,739Bombs planted
3,162Bombs defused

Most-used weapons

AK-47209,079
AWP9,403
MP96,494
MAC-105,482
FAMAS4,928
UMP-454,146

Lifetime map wins

14,138dust2
11,252inferno
5,342vertigo
2,774nuke
2,444train
398cbble
157ar_shoots
124ar_baggage

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

Faceit stats

Combat

520Matches
51%Win rate
1.24Avg K/D
80.7ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10453%1.1115.5
Dust26844%1.0715.0
Anubis5650%1.2016.2
Ancient4159%1.2017.5
Inferno3749%1.1416.4
Nuke1346%1.0419.4
Vertigo667%1.1616.2
Cache520%0.9614.4

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.

15.2%Headshot accuracy
35.4%Accuracy (enemy spotted)
39.9%Spray accuracy
78.2%Counter-strafing
10.0°Preaim
585msReaction time
31.6%T opening success
41.5%CT opening success
0.64Enemies flashed / flash
8.8%Flash assists
9.88HE damage / grenade
10.72Flashes / 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. 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 31.6393% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.028%14 Nov →
ancient13–4-0.004%14 Nov →
dust22–13-0.0721%14 Nov →
anubis13–8-0.0112%14 Nov →
anubis7–13-0.008%14 Nov →
nuke6–130.0017%13 Nov →
inferno10–130.0221%13 Nov →
dust26–13-0.0010%13 Nov →
dust26–13-0.0413%12 Nov →
dust213–90.0112%12 Nov →
dust24–13-0.0321%12 Nov →
nuke13–30.0732%12 Nov →
inferno13–70.0535%11 Nov →
dust213–110.0013%10 Nov →
mirage13–80.1112%9 Nov →
dust213–30.1015%9 Nov →
dust213–110.015%9 Nov →
dust27–13-0.0218%8 Nov →
nuke13–9-0.027%7 Nov →
dust213–11-0.0617%7 Nov →
mirage16–120.0613%7 Nov →
mirage13–50.0716%7 Nov →
dust213–30.0820%7 Nov →
mirage13–70.0517%7 Nov →
cache11–13-0.078%6 Nov →
mirage13–70.0922%6 Nov →
mirage13–90.0221%6 Nov →
dust23–13-0.127%6 Nov →
nuke13–110.0825%5 Nov →
inferno9–130.0012%5 Nov →
cache13–100.0810%4 Nov →
cache10–130.0719%3 Nov →
nuke6–130.0322%3 Nov →
mirage10–13-0.0514%3 Nov →
mirage5–13-0.0212%2 Nov →
cache13–6-0.0425%2 Nov →
mirage5–13-0.0823%2 Nov →
cache16–120.0314%2 Nov →
inferno13–9-0.0114%1 Nov →
mirage13–110.0020%1 Nov →
cache3–13-0.0220%1 Nov →
dust28–130.0015%1 Nov →
dust211–13-0.0421%31 Oct →
dust213–2-0.0318%31 Oct →
anubis15–150.0116%31 Oct →
ancient13–70.0026%31 Oct →
cache7–130.0516%31 Oct →
mirage13–11-0.0418%30 Oct →
nuke13–60.1011%30 Oct →
ancient16–13-0.0012%29 Oct →
inferno10–130.0325%29 Oct →
mirage8–13-0.0511%29 Oct →
mirage9–130.0020%29 Oct →
ancient10–130.0422%28 Oct →
mirage13–80.0212%28 Oct →
overpass13–100.0123%27 Oct →
inferno13–60.0414%27 Oct →
mirage13–6-0.0219%26 Oct →
mirage1–13-0.1018%26 Oct →
anubis13–9-0.0623%26 Oct →
mirage13–110.0612%26 Oct →
mirage13–50.0316%26 Oct →
anubis13–8-0.0119%26 Oct →
cache7–13-0.0721%26 Oct →
inferno16–12-0.1011%25 Oct →
ancient13–40.0115%24 Oct →
cache7–0-0.0214%24 Oct →
mirage13–90.0117%24 Oct →
cache16–140.0615%23 Oct →
mirage11–130.0312%23 Oct →
dust26–13-0.0315%23 Oct →
nuke13–4-0.068%23 Oct →
inferno13–1-0.0245%23 Oct →
mirage13–11-0.046%23 Oct →
dust213–50.0511%23 Oct →
dust24–40.0021%23 Oct →
anubis13–50.0411%22 Oct →
mirage6–13-0.0310%22 Oct →
mirage13–00.0714%22 Oct →
inferno11–130.0815%21 Oct →
ancient15–150.0411%21 Oct →
anubis9–13-0.0314%21 Oct →
inferno7–13-0.0310%20 Oct →
ancient13–80.0817%20 Oct →
inferno11–130.0318%20 Oct →
anubis5–130.0918%20 Oct →
ancient6–130.0213%19 Oct →
mirage13–40.0729%19 Oct →
inferno9–130.059%19 Oct →
cache16–14-0.0119%19 Oct →
mirage13–11-0.0114%18 Oct →
cache5–130.0119%18 Oct →
ancient13–50.0213%18 Oct →
mirage3–13-0.1110%18 Oct →
mirage7–13-0.079%18 Oct →
mirage5–13-0.0817%18 Oct →
anubis13–11-0.0413%17 Oct →
nuke2–5-0.069%17 Oct →
dust213–50.0815%17 Oct →
cache2–13-0.120%16 Oct →

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 →

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