B0K!

B0K! — CS2 Stats

76561198966991099[U:1:1006725371]Steam profile ↗✓ No bans

2,089Tracked matches47%Win rate2020Tracked since
1,712Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating18,517Purple band · top ~14.4% of ranked players (population est.)
FaceitLevel 9 · 1,753 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). 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: 18,517 -955 28 Aug – 12 Nov · 21 days played
17,08420,111peak 20,11128 Aug12 Nov
20,111Peak Premier in tracked matches
1,806Highest Faceit ELO seen on CSDB
42Days played since 2026-08-28

Faceit ELO

  • 53 below peak (1,806)
  • Next: Level 10 at 2,001 — 248 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 1,594 below peak (20,111)
  • -403 over 30 days · declining
  • -955 over 90 days
  • Next: Pink band at 20,000 — 1,483 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 rate71.0%48.2%50.9%above
Shot accuracy9.1%13.2%13.7%4.6% short
Kill/death ratio1.611.071.09above
Match win rate41.0%46.9%48.4%7.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGB0K!FACEITLevel 9 · 1,753 ELOSTANDINGTop 20.7% of rankedPREMIER18,517 · Purple bandPEAK ELO1,806csdb.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

Aim78
Positioning67
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWWWLLWLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · +18ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 497ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 527ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 518ms

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 (+1.8 against its own average).

Aim7.8
Utility5.3
Positioning6.7
Opening Duels3.7
Clutch3.8

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 59% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8
Positioning6.7
Utility5.3
Mechanics6.0
Opening Duels4.3
Win Impact3.9

Composite 6.2/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time516ms+22ms
first ⅓ avg 494ms → last ⅓ avg 516ms
Headshot accuracy19.1%−3.7%
first ⅓ avg 22.7% → last ⅓ avg 19.1%

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 · 13–5 · dust2, 7 Oct →
67%Best headshot accuracy · 0–9 · nuke, 2 Oct →
328msFastest reaction time · 5–0 · inferno, 9 Sept →
13–1Biggest win · ancient, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 56% over 18infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD217–1433%0.01
nukeA1810–856%-0.01
ancientB168–850%-0.02
mirageB157–847%0.00
anubisA116–555%0.02
dust2B63–350%0.03
office—43–175%0.04
cache—31–233%-0.01
vertigo—31–233%0.04
train—20–20%0.00
overpass—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

176,280Lifetime kills
1.61K/D · Top 5% of Level 9 players
4,956Matches
41.0%Match win rate
71.0%Headshot % · Top 5% of Level 9 players
9.1%Shot accuracy
12,835MVPs
1,712Hours (in match)
3,375Bombs planted
1,093Bombs defused

Most-used weapons

AK-47105,687
AWP10,301
MP91,832
SSG 081,559
SG 5531,337

Lifetime map wins

7,087inferno
4,285dust2
3,931nuke
3,078train
2,511vertigo
719cbble
217office
78lake

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

Faceit stats

Combat

625Matches
52%Win rate
1.01Avg K/D
78.8ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke16255%0.9515.0
Ancient14050%1.0015.9
Inferno10246%0.9415.6
Anubis9260%1.0815.9
Mirage2556%1.1717.9
Train2138%0.9115.7
Dust21540%0.9715.0
Vertigo850%1.0818.9

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.

18.8%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.4%Spray accuracy
76.8%Counter-strafing
10.6°Preaim
513msReaction time
34.8%T opening success
59.3%CT opening success
0.50Enemies flashed / flash
5.1%Flash assists
9.47HE damage / grenade
7.16Flashes / 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 0.4977 — 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 34.7896% — 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.

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0423%14 Nov →
mirage13–4-0.0030%12 Nov →
anubis13–60.0018%29 Oct →
office13–8-0.0324%28 Oct →
overpass7–130.0325%27 Oct →
ancient4–13-0.058%27 Oct →
nuke13–80.0815%27 Oct →
ancient8–13-0.0226%27 Oct →
nuke10–13-0.0521%27 Oct →
inferno10–13-0.0217%26 Oct →
inferno11–13-0.0218%24 Oct →
cache1–130.0127%24 Oct →
dust213–5-0.0640%24 Oct →
dust26–13-0.078%24 Oct →
nuke13–8-0.0020%18 Oct →
nuke11–13-0.0214%18 Oct →
nuke13–60.0527%18 Oct →
inferno4–13-0.0519%17 Oct →
vertigo9–130.0627%16 Oct →
mirage2–13-0.0317%16 Oct →
mirage9–130.0021%15 Oct →
anubis16–13-0.0210%14 Oct →
office13–30.1628%14 Oct →
nuke13–9-0.0431%13 Oct →
nuke13–5-0.009%13 Oct →
nuke13–9-0.0115%12 Oct →
inferno11–13-0.0027%12 Oct →
ancient10–13-0.035%9 Oct →
ancient13–8-0.030%9 Oct →
mirage13–11-0.037%8 Oct →
train5–13-0.0315%8 Oct →
anubis13–50.1715%7 Oct →
dust213–50.1724%7 Oct →
inferno9–13-0.1020%2 Oct →
dust24–130.0316%2 Oct →
nuke0–9-0.2467%2 Oct →
anubis6–130.0113%1 Oct →
office2–130.0926%1 Oct →
inferno4–130.0629%1 Oct →
dust29–130.0721%1 Oct →
nuke2–130.0616%1 Oct →
ancient16–14-0.0418%29 Sept →
mirage13–40.0434%28 Sept →
nuke13–90.0216%26 Sept →
ancient13–10.0021%26 Sept →
nuke3–9-0.009%25 Sept →
inferno8–80.1722%25 Sept →
vertigo9–13-0.008%24 Sept →
vertigo13–50.0621%24 Sept →
inferno13–90.0417%24 Sept →
mirage13–9-0.0310%24 Sept →
anubis11–13-0.0815%24 Sept →
nuke13–70.0238%24 Sept →
dust213–80.0527%23 Sept →
mirage5–13-0.0535%23 Sept →
train12–120.0432%20 Sept →
mirage9–13-0.0812%19 Sept →
inferno13–10-0.0124%19 Sept →
inferno13–9-0.0210%18 Sept →
inferno10–13-0.0224%17 Sept →
ancient13–110.0216%16 Sept →
inferno11–13-0.0118%16 Sept →
inferno8–80.0223%16 Sept →
anubis13–7-0.0114%16 Sept →
inferno5–130.0016%16 Sept →
inferno3–13-0.0013%16 Sept →
ancient13–3-0.055%10 Sept →
mirage9–130.0422%10 Sept →
mirage12–120.0422%10 Sept →
ancient5–13-0.0524%9 Sept →
inferno5–00.0642%9 Sept →
ancient11–13-0.0015%9 Sept →
ancient6–13-0.0716%7 Sept →
nuke4–130.0326%7 Sept →
anubis13–50.1111%7 Sept →
ancient13–30.0320%7 Sept →
mirage13–70.0822%7 Sept →
anubis12–12-0.0419%6 Sept →
nuke14–16-0.0431%6 Sept →
anubis1–130.0230%6 Sept →
cache2–13-0.0533%4 Sept →
nuke10–13-0.0120%4 Sept →
mirage13–8-0.0520%4 Sept →
inferno12–120.0433%4 Sept →
office13–11-0.0523%3 Sept →
cache13–20.0225%3 Sept →
mirage13–40.0832%2 Sept →
ancient8–130.0216%2 Sept →
inferno13–110.0216%1 Sept →
ancient13–8-0.0422%31 Aug →
ancient16–12-0.0011%31 Aug →
anubis15–15-0.0221%30 Aug →
inferno11–130.0222%30 Aug →
ancient11–13-0.0517%30 Aug →
inferno13–110.0428%29 Aug →
anubis13–60.0518%29 Aug →
nuke13–10.0319%29 Aug →
inferno13–10.0514%28 Aug →
nuke13–4-0.0127%28 Aug →
mirage12–12-0.0134%28 Aug →

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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