Banned

Banned — CS2 Stats

AM76561198119526368[U:1:159260640]Steam profile ↗✓ No bans

1,637Tracked matches38%Win rate2020Tracked since
5,456Hours in CS24Hrs last 2 wks
CSDB Rating5.6 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

22,000Peak Premier on CSDB
2,108Highest Faceit ELO seen on CSDB
32Days played since 2026-07-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches29——
Win rate41%——
K/D3.73——
Headshot %85%——

Measured 19 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,591), 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 9 medianLevel 10 medianvs Level 10
Headshot rate47.6%48.2%50.9%3.4% short
Shot accuracy14.6%13.3%13.7%above
Kill/death ratio0.991.071.090.10 short
Match win rate42.7%46.9%48.4%5.7% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBannedFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO2,108csdb.gg/stats

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Performance scores

Aim84
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLWLLLWLWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.3pp headshot accuracy · +5ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 509ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 529ms

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 (+1.6 against its own average).

Aim8.4
Utility5.0
Positioning4.5
Opening Duels1.4
Clutch2.6

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.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

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

Aim8.4
Positioning4.5
Utility5.0
Mechanics7.8
Opening Duels1.4
Win Impact1.0

Composite 5.6/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time524ms−48ms
first ⅓ avg 573ms → last ⅓ avg 524ms
Headshot accuracy19.9%+0.5%
first ⅓ avg 19.4% → last ⅓ avg 19.9%

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

0.11Best match rating · 13–6 · mirage, 9 Aug →
36%Best headshot accuracy · 13–6 · dust2, 5 Aug →
359msFastest reaction time · 2–13 · inferno, 3 Sept →
11–0Biggest win · dust2, 2 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
anubisC2510–1540%-0.00
dust2B2312–1152%-0.01
ancientS1410–471%0.01
mirageB137–654%-0.00
infernoD112–918%-0.01
cacheC94–544%-0.01
nukeS54–180%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,552Lifetime kills
0.99K/D
4,958Matches
42.7%Match win rate
47.6%Headshot %
14.6%Shot accuracy · Top 50% of Level 9 players
11,823MVPs
2,388Hours (in match)
4,222Bombs planted
1,030Bombs defused

Most-used weapons

AK-4742,262
AWP7,520
AUG3,010
FAMAS2,231
Knife2,203

Lifetime map wins

6,958dust2
6,001inferno
2,632nuke
1,898train
1,681vertigo
1,434militia
817cbble
791office

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

Faceit stats

Combat

1,631Matches
51%Win rate
1.03Avg K/D
81.5ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis9041%1.0917.7
Mirage8748%1.0615.8
Dust25853%1.0915.6
Inferno5650%1.0816.0
Ancient5549%1.0214.8
Nuke2759%1.2716.7
Cache2060%1.0815.4
Vertigo1573%1.2417.3

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.

19.8%Headshot accuracy
36.6%Accuracy (enemy spotted)
39.3%Spray accuracy
85.2%Counter-strafing
9.4°Preaim
521msReaction time
32.4%T opening success
38.8%CT opening success
0.55Enemies flashed / flash
5.2%Flash assists
8.92HE damage / grenade
6.02Flashes / 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 32.3795% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0236%14 Oct →
cache13–100.0618%14 Oct →
inferno10–13-0.0214%14 Oct →
anubis5–13-0.0213%13 Oct →
dust211–13-0.0122%13 Oct →
ancient13–7-0.007%13 Oct →
anubis9–13-0.039%12 Oct →
dust213–11-0.0214%12 Oct →
dust23–13-0.1127%12 Oct →
inferno7–13-0.0019%12 Oct →
inferno6–13-0.0626%12 Oct →
dust211–13-0.0518%12 Oct →
inferno15–15-0.0121%11 Oct →
ancient13–9-0.0118%8 Oct →
anubis13–90.0216%8 Oct →
cache13–3-0.0119%8 Oct →
ancient13–80.0224%7 Oct →
ancient8–130.0223%7 Oct →
cache10–130.0215%7 Oct →
nuke16–140.0223%7 Oct →
mirage10–13-0.0812%7 Oct →
anubis4–13-0.0119%1 Oct →
nuke13–8-0.0215%1 Oct →
mirage13–160.0228%1 Oct →
anubis11–130.0425%1 Oct →
anubis16–12-0.0122%30 Sept →
cache5–13-0.0521%30 Sept →
anubis11–13-0.0328%16 Sept →
anubis14–16-0.0321%15 Sept →
anubis13–50.0228%15 Sept →
dust27–130.0120%10 Sept →
mirage13–10-0.0218%10 Sept →
ancient13–9-0.0324%9 Sept →
ancient13–9-0.078%9 Sept →
dust213–10-0.0228%8 Sept →
anubis13–90.0228%8 Sept →
inferno10–130.0216%5 Sept →
nuke10–130.0423%5 Sept →
dust216–140.0226%4 Sept →
mirage13–100.0119%4 Sept →
dust213–70.0031%4 Sept →
dust27–13-0.0333%4 Sept →
ancient13–60.0316%4 Sept →
dust211–130.0019%3 Sept →
inferno2–13-0.0727%3 Sept →
inferno16–140.0517%3 Sept →
anubis6–13-0.074%2 Sept →
ancient13–90.0927%2 Sept →
dust213–9-0.099%2 Sept →
dust213–11-0.0414%2 Sept →
mirage16–140.0123%29 Aug →
ancient13–5-0.0211%29 Aug →
anubis13–10-0.0322%29 Aug →
anubis7–130.0711%29 Aug →
ancient8–130.0315%29 Aug →
dust213–80.0122%16 Aug →
dust214–160.0023%15 Aug →
cache11–13-0.0321%15 Aug →
anubis8–13-0.0526%14 Aug →
inferno10–130.0223%14 Aug →
inferno7–13-0.0810%14 Aug →
dust216–13-0.0815%13 Aug →
mirage6–13-0.0618%13 Aug →
mirage12–160.0321%13 Aug →
mirage13–5-0.0114%13 Aug →
anubis15–19-0.0115%12 Aug →
mirage11–13-0.0121%12 Aug →
mirage13–30.0222%12 Aug →
inferno13–60.0219%12 Aug →
dust213–40.0916%11 Aug →
anubis9–13-0.0318%10 Aug →
anubis13–11-0.0217%10 Aug →
dust213–80.0825%10 Aug →
anubis13–110.0417%9 Aug →
ancient5–130.0122%9 Aug →
mirage13–60.1123%9 Aug →
ancient13–90.0114%9 Aug →
mirage13–5-0.0313%9 Aug →
mirage8–13-0.0515%9 Aug →
cache6–13-0.0515%9 Aug →
ancient11–130.0112%9 Aug →
ancient13–80.029%8 Aug →
cache5–130.0217%8 Aug →
anubis8–130.0320%8 Aug →
nuke22–19-0.0223%8 Aug →
inferno15–19-0.0119%7 Aug →
cache13–110.0024%6 Aug →
anubis0–13-0.0132%6 Aug →
anubis13–10-0.0218%6 Aug →
anubis13–7-0.0421%6 Aug →
dust25–130.0216%6 Aug →
dust28–13-0.0332%6 Aug →
anubis4–130.0319%5 Aug →
anubis13–40.0614%5 Aug →
nuke13–100.0016%5 Aug →
dust213–60.0436%5 Aug →
anubis10–130.0017%5 Aug →
dust211–00.0819%2 Aug →
cache13–9-0.0125%2 Aug →
dust210–130.0116%30 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.