fbr

fbr — CS2 Stats

BR76561197966572207[U:1:6306479]Steam profile ↗✓ No bans

2,581Tracked matches60%Win rate2020Tracked since
3,954Hours in CS1Hrs last 2 wks
CSDB Rating6.5 SolidSupport
FaceitLevel 10 · 2,631 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,631 → 2,631
+64Tracked matches · now 2,581
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Premier CS Rating: 18,355 +790 7 Apr – 23 Apr · 4 days played
17,45518,355peak 18,3557 Apr23 Apr
Faceit ELO: 2,631 +0 28 Aug – 19 Sept · 3 observations
2,6312,631peak 2,63128 Aug19 Sept
18,355Peak Premier in tracked matches
2,631Highest Faceit ELO seen on CSDB
66Days played since 2026-03-18

Faceit ELO

  • At peak — 2,631
  • Next: 3,000 ELO at 3,000 — 369 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate56.9%50.9%
Shot accuracy6.4%13.7%
Kill/death ratio0.901.09
Match win rate49.8%48.4%

Share this profile

CSDB.GGfbrFACEITLevel 10 · 2,631 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,631csdb.gg/stats

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Performance scores

Aim81
Positioning53
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWWLWLWLWWW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +1.7pp headshot accuracy · −16ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 514ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 552ms

Last 20

  • 17–3 · 85% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 560ms

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 (+1.4 against its own average).

Aim8.1
Utility5.3
Positioning5.3
Opening Duels1.7
Clutch3.4

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.

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, 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 46% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim8.1
Positioning5.3
Utility5.3
Mechanics7.0
Opening Duels2.0
Win Impact8.3

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time584ms−55ms
first ⅓ avg 639ms → last ⅓ avg 584ms
Headshot accuracy22.4%+2.3%
first ⅓ avg 20.1% → last ⅓ avg 22.4%

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

0.13Best match rating · 13–6 · cache, 13 May →
38%Best headshot accuracy · 13–8 · anubis, 29 Aug →
422msFastest reaction time · 2–13 · mirage, 22 Jun →
13–0Biggest win · anubis, 19 May →

Across the last 100 tracked matches.

Highlights

13Longest win streak
W2Current streak
10–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 80% over 10ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
anubisA2816–1257%0.00
mirageC167–944%-0.01
dust2S1510–567%0.00
infernoS108–280%-0.02
cacheS107–370%0.01
ancientC104–640%-0.01
overpassA53–260%-0.00
nuke—41–325%-0.04
vertigo—10–10%-0.04
debris—10–10%-0.19

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,632Lifetime kills
0.90K/D
4,069Matches
49.8%Match win rate · Top 50% of Level 10 players
56.9%Headshot % · Top 25% of Level 10 players
6.4%Shot accuracy
13,981MVPs
4,128Hours (in match)
4,518Bombs planted
3,446Bombs defused

Most-used weapons

AK-4755,802
AWP9,467
MP93,864
MAC-103,082
Knife1,944

Lifetime map wins

8,469inferno
6,154dust2
2,900vertigo
2,235nuke
1,985train
506cbble
23lake
12italy

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

Faceit stats

Combat

2,285Matches
52%Win rate
1.10Avg K/D
74.4ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
16Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis54462%1.1715.9
Mirage37148%1.0715.2
Inferno33951%1.0714.4
Ancient23446%1.0415.1
Dust218942%1.0314.5
Train8055%1.0816.0
Nuke7043%1.0615.1
Overpass5139%1.1215.3

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.

22.2%Headshot accuracy
35.6%Accuracy (enemy spotted)
38.2%Spray accuracy
81.3%Counter-strafing
8.7°Preaim
574msReaction time
18.2%T opening success
46.0%CT opening success
0.47Enemies flashed / flash
7.0%Flash assists
6.64HE damage / grenade
11.33Flashes / 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 0.472 — 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 18.2121% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0117%1 Oct →
anubis16–14-0.0516%29 Sept →
mirage9–13-0.0228%23 Sept →
inferno13–10-0.0226%22 Sept →
inferno7–13-0.0122%22 Sept →
cache13–80.0317%16 Sept →
vertigo2–9-0.0427%14 Sept →
cache13–60.0220%11 Sept →
inferno13–6-0.0636%10 Sept →
cache13–11-0.0019%7 Sept →
dust216–12-0.0523%31 Aug →
anubis13–80.0438%29 Aug →
cache13–110.0114%29 Aug →
anubis13–11-0.0423%27 Aug →
anubis13–60.0119%26 Aug →
inferno13–80.0623%24 Aug →
anubis13–7-0.0115%23 Aug →
dust213–110.0212%8 Aug →
dust213–100.0219%8 Aug →
dust213–100.0524%6 Aug →
debris2–9-0.1913%6 Aug →
nuke8–13-0.0729%21 Jul →
cache10–13-0.028%13 Jul →
ancient7–13-0.0221%3 Jul →
anubis13–100.0329%2 Jul →
mirage6–13-0.0422%30 Jun →
anubis8–13-0.0221%30 Jun →
mirage2–13-0.0429%22 Jun →
cache8–13-0.0727%22 Jun →
mirage6–13-0.0428%21 Jun →
anubis7–13-0.0526%19 Jun →
ancient7–130.0129%6 Jun →
anubis6–13-0.0421%5 Jun →
mirage19–170.0215%4 Jun →
mirage19–160.0016%3 Jun →
ancient9–13-0.0222%29 May →
anubis13–100.0523%21 May →
anubis13–0-0.0125%19 May →
mirage5–13-0.0026%17 May →
ancient13–6-0.0636%16 May →
mirage9–13-0.0913%16 May →
overpass13–90.0518%15 May →
anubis14–160.0124%14 May →
mirage13–10-0.0411%13 May →
anubis13–110.0418%13 May →
anubis13–70.0417%13 May →
cache13–60.1330%13 May →
anubis13–160.0321%12 May →
dust213–40.0519%11 May →
overpass5–13-0.0319%9 May →
cache13–60.0216%9 May →
mirage9–130.0314%3 May →
anubis10–130.0119%2 May →
cache7–13-0.0415%1 May →
cache16–120.0227%30 Apr →
anubis13–9-0.0215%28 Apr →
overpass13–70.0124%28 Apr →
anubis11–13-0.0112%28 Apr →
inferno13–8-0.0522%27 Apr →
mirage13–70.0516%25 Apr →
mirage10–13-0.0424%24 Apr →
anubis11–130.0018%23 Apr →
mirage13–3-0.0210%23 Apr →
dust22–13-0.0218%23 Apr →
anubis13–100.0424%19 Apr →
nuke4–13-0.0416%19 Apr →
ancient10–130.0025%16 Apr →
nuke13–7-0.0130%15 Apr →
dust213–110.0135%15 Apr →
ancient13–30.0221%11 Apr →
anubis6–130.0515%11 Apr →
anubis13–3-0.0013%11 Apr →
anubis14–160.0220%10 Apr →
ancient11–130.0321%10 Apr →
dust213–1-0.0231%7 Apr →
inferno7–13-0.0323%7 Apr →
dust213–80.0517%7 Apr →
overpass2–13-0.0629%6 Apr →
anubis19–22-0.0823%2 Apr →
inferno13–90.0417%2 Apr →
anubis16–130.0325%2 Apr →
ancient13–10-0.0310%2 Apr →
inferno13–11-0.0615%2 Apr →
dust211–130.0425%1 Apr →
dust213–80.0327%1 Apr →
dust211–13-0.0216%1 Apr →
inferno13–8-0.090%31 Mar →
anubis8–130.0424%30 Mar →
dust213–6-0.0534%30 Mar →
ancient6–13-0.0615%27 Mar →
nuke9–13-0.0313%27 Mar →
overpass6–30.0215%27 Mar →
ancient13–50.0322%26 Mar →
mirage9–130.0219%26 Mar →
dust211–13-0.0216%25 Mar →
inferno13–50.0615%25 Mar →
mirage13–5-0.0017%24 Mar →
anubis13–60.0322%19 Mar →
dust211–13-0.0313%18 Mar →
mirage13–40.0424%18 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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