.bc

.bc — CS2 Stats

76561198075324685[U:1:115058957]Steam profile ↗✓ No bans

1,164Tracked matches66%Win rate2020Tracked since
1,981Hours in CS
CSDB Rating6.6 SolidPositional Player
CSDB Leaderboard#23836 of 239331 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 22 Mar 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,741 +98 20 Aug11 Oct · 2 days played
24,64324,741peak 24,74120 Aug11 Oct
24,741Peak Premier in tracked matches
45Days played since 2025-03-22

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 10 among CSDB-tracked players (n=28,192), 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 rate57.4%51.0%
Shot accuracy16.7%13.7%
Kill/death ratio1.411.09
Match win rate50.1%48.4%

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CSDB.GG.bcFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning57
Utility46

0–100 skill scores via Leetify.

Recent form

HOT59392Last 10059%Win rateWLWTWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −0.4pp headshot accuracy · +30ms reaction

Win rate up 20pp 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

  • 311 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 556ms

Last 10

  • 811 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 600ms

Last 20

  • 1451 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 585ms

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 (+1.8 against its own average).

Aim8.3
Utility4.6
Positioning5.7
Opening Duels3.0
Clutch2.4

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 92% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 595ms 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

Aim8.3
Positioning5.7
Utility4.6
Mechanics7.0
Opening Duels2.0
Win Impact10.0

Composite 6.6/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time599ms+19ms
first ⅓ avg 580ms → last ⅓ avg 599ms
Headshot accuracy24.1%+3.8%
first ⅓ avg 20.2% → last ⅓ avg 24.1%

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 · 13–7 · dust2, 6 Apr
43%Best headshot accuracy · 6–13 · dust2, 20 Aug
344msFastest reaction time · 13–8 · ancient, 30 May
13–1Biggest win · inferno, 2 May

Across the last 100 tracked matches.

Highlights

7Longest win streak
1114In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 76% over 17mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2113862%0.01
nukeS1713476%0.03
infernoA159660%0.03
anubisC156940%-0.00
mirageD92722%0.01
dust2B84450%-0.00
vertigo43175%-0.01
overpass43175%0.03
train43175%0.06
cache330100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,142Lifetime kills
1.41K/D · Top 10% of Level 10 players
3,726Matches
50.1%Match win rate · Top 50% of Level 10 players
57.4%Headshot % · Top 25% of Level 10 players
16.7%Shot accuracy · Top 25% of Level 10 players
11,793MVPs
1,981Hours (in match)
3,909Bombs planted
1,020Bombs defused

Most-used weapons

AK-4754,994
AWP12,985
FAMAS2,242
P2501,800
MAC-101,426

Lifetime map wins

8,885inferno
4,431dust2
4,041nuke
2,917vertigo
2,383train
326cbble
30aztec
21dust

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

Faceit stats

Combat

904Matches
56%Win rate
1.15Avg K/D
78.1ADR
46%Headshot %

Clutches & streaks

32%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient12753%1.0816.2
Anubis12352%1.0715.9
Mirage9554%1.0614.4
Nuke9064%1.1515.7
Inferno4852%1.1815.7
Dust24743%1.0514.3
Vertigo1050%1.1216.1
Train650%1.0816.8

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.

23.6%Headshot accuracy
37.8%Accuracy (enemy spotted)
43.4%Spray accuracy
81.5%Counter-strafing
10.2°Preaim
595msReaction time
37.4%T opening success
38.5%CT opening success
0.63Enemies flashed / flash
5.7%Flash assists
10.12HE damage / grenade
9.36Flashes / 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 37.3595% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–110.0221%15 May
ancient8–13-0.0122%15 May
cache13–100.0520%15 May
dust212–12-0.0021%15 May
vertigo13–70.0424%13 May
cache13–90.0021%13 May
ancient13–40.0623%2 May
mirage13–2-0.0342%2 May
cache13–100.0730%2 May
inferno13–10.0327%2 May
vertigo13–5-0.0329%7 Feb
vertigo2–13-0.0928%14 Nov
ancient3–13-0.0724%14 Nov
overpass13–60.0028%11 Oct
overpass13–10-0.0218%20 Aug
dust26–13-0.0843%20 Aug
nuke13–70.0531%20 Aug
nuke10–130.0519%19 Aug
inferno16–140.0315%19 Aug
train13–60.0220%19 Aug
dust20–4-0.0733%19 Aug
overpass13–60.0522%19 Aug
ancient16–13-0.0121%19 Aug
train13–50.1225%18 Aug
overpass11–130.0917%18 Aug
nuke8–13-0.0018%1 Jul
nuke13–50.0714%1 Jul
anubis11–13-0.0336%30 Jun
nuke2–13-0.0920%30 Jun
ancient19–17-0.0221%30 Jun
nuke11–13-0.0412%29 Jun
mirage13–80.1729%28 Jun
inferno13–90.0521%26 Jun
ancient10–13-0.0216%10 Jun
anubis5–13-0.019%31 May
ancient13–80.0130%30 May
inferno13–40.1328%29 May
dust29–2-0.0113%29 May
nuke16–140.0519%28 May
inferno11–13-0.0222%28 May
ancient16–130.0417%27 May
nuke13–80.0129%27 May
nuke13–90.1119%27 May
anubis19–17-0.0331%26 May
ancient13–40.0624%26 May
mirage9–13-0.0510%26 May
anubis13–60.0112%26 May
inferno11–130.0821%21 May
nuke13–11-0.0113%21 May
ancient19–160.0816%15 May
nuke13–100.0520%15 May
ancient14–160.0210%12 May
inferno13–50.0218%12 May
inferno13–20.1031%11 May
ancient6–130.0225%7 May
inferno16–13-0.0217%6 May
inferno9–13-0.0220%6 May
nuke13–110.0119%27 Apr
nuke16–140.0216%21 Apr
inferno4–13-0.0311%18 Apr
anubis13–80.0518%18 Apr
mirage10–13-0.0311%18 Apr
dust213–90.0218%18 Apr
inferno13–90.0118%17 Apr
nuke13–30.0728%16 Apr
anubis13–80.0417%16 Apr
ancient13–11-0.0512%16 Apr
anubis13–16-0.029%15 Apr
mirage7–13-0.0429%15 Apr
nuke13–40.0723%12 Apr
ancient13–80.0623%12 Apr
anubis11–13-0.0318%12 Apr
anubis6–13-0.0315%12 Apr
nuke13–110.0613%12 Apr
nuke13–80.0118%11 Apr
inferno11–130.0413%11 Apr
ancient13–90.0526%11 Apr
anubis11–13-0.0423%11 Apr
train13–70.0418%9 Apr
ancient16–12-0.0015%9 Apr
ancient13–11-0.0415%9 Apr
ancient11–13-0.0612%6 Apr
anubis9–130.0316%6 Apr
inferno13–40.0219%6 Apr
train8–130.0427%6 Apr
dust213–70.1725%6 Apr
mirage6–13-0.0225%2 Apr
ancient10–13-0.0119%2 Apr
mirage15–150.0329%2 Apr
dust22–13-0.0929%1 Apr
ancient13–50.1014%31 Mar
inferno11–13-0.0428%30 Mar
mirage11–130.0418%30 Mar
ancient9–13-0.0020%30 Mar
dust213–50.0523%27 Mar
anubis9–13-0.0313%27 Mar
anubis13–90.0422%27 Mar
anubis13–100.0211%25 Mar
mirage11–130.0322%23 Mar
anubis11–13-0.0135%22 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →