bon1ek

bon1ek — CS2 Stats

CC76561199176564153[U:1:1216298425]Steam profile ↗✓ No bans

872Tracked matches54%Win rate2021Tracked since
1,395Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating25,081Top 25% of 215,386 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#21509 of 261515 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 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: 25,081 +1,356 20 Oct – 7 Nov · 13 days played
22,03426,341peak 26,34120 Oct7 Nov
26,520Peak Premier in tracked matches
13Days played since 2026-10-20

Premier CS Rating

  • 1,260 below peak (26,341)
  • Next: Gold band at 30,000 — 4,919 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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=15,525), 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 rate47.9%46.8%48.2%meets
Shot accuracy5.3%13.0%13.2%7.9% short
Kill/death ratio0.891.061.070.18 short
Match win rate42.5%46.3%46.9%4.4% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGbon1ekFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER25,081 · 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

Aim61
Positioning62
Utility61

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLLWLWLLWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.4pp headshot accuracy · −16ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 548ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

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).

Aim6.1
Utility6.1
Positioning6.2
Opening Duels2.2
Clutch3.2

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 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. Opening success drops from 58% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 563ms 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

Aim6.1
Positioning6.2
Utility6.1
Mechanics5.7
Opening Duels4.2
Win Impact6.2

Composite 6.2/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time569ms−3ms
first ⅓ avg 572ms → last ⅓ avg 569ms
Headshot accuracy15.2%+0.6%
first ⅓ avg 14.6% → last ⅓ avg 15.2%

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 · anubis, 1 Nov →
30%Best headshot accuracy · 6–13 · inferno, 7 Nov →
398msFastest reaction time · 5–13 · ancient, 7 Nov →
13–3Biggest win · dust2, 2 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 71% over 21ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2814–1450%0.01
dust2S2115–671%0.02
anubisB137–654%0.01
infernoC114–736%-0.01
cacheB115–645%-0.00
ancientD82–625%-0.01
nukeB84–450%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,248Lifetime kills
0.89K/D
2,412Matches
42.5%Match win rate
47.9%Headshot % · Top 50% of Level 8 players
5.3%Shot accuracy
5,098MVPs
1,395Hours (in match)
2,164Bombs planted
464Bombs defused

Most-used weapons

AK-4721,556
AWP2,436
MAC-102,035
MP91,735
Knife945

Lifetime map wins

3,377dust2
2,762inferno
2,751vertigo
880nuke
350train
177office
49cbble
24ar_shoots

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

Faceit stats

Combat

955Matches
50%Win rate
1.09Avg K/D
80.1ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20649%1.1115.8
Anubis19155%1.1616.4
Dust215449%1.1015.9
Inferno9245%1.0216.3
Ancient6441%1.1016.8
Nuke3250%1.0816.9
Vertigo1429%0.8814.1
Overpass956%0.8913.2

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.

15.1%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.8%Spray accuracy
75.6%Counter-strafing
10.4°Preaim
563msReaction time
57.9%T opening success
35.5%CT opening success
0.62Enemies flashed / flash
8.3%Flash assists
9.22HE damage / grenade
8.88Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.469% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0430%7 Nov →
ancient5–13-0.059%7 Nov →
dust213–8-0.039%7 Nov →
dust29–13-0.0221%7 Nov →
mirage13–40.008%6 Nov →
ancient5–130.016%6 Nov →
mirage6–130.0717%6 Nov →
cache13–7-0.026%6 Nov →
anubis11–13-0.0612%4 Nov →
nuke10–13-0.0414%4 Nov →
mirage13–100.0212%3 Nov →
mirage6–130.0818%3 Nov →
cache13–70.0115%3 Nov →
mirage13–80.0617%3 Nov →
anubis12–16-0.0216%3 Nov →
ancient8–13-0.069%3 Nov →
inferno16–14-0.0113%3 Nov →
mirage13–8-0.0515%3 Nov →
cache15–15-0.0116%3 Nov →
cache6–13-0.0117%3 Nov →
mirage15–15-0.0515%2 Nov →
cache5–130.0124%2 Nov →
dust213–80.0321%2 Nov →
ancient13–70.0220%2 Nov →
dust213–60.0317%2 Nov →
dust213–3-0.0120%2 Nov →
mirage13–5-0.0012%2 Nov →
dust213–90.069%2 Nov →
ancient13–16-0.0115%2 Nov →
inferno13–40.0821%2 Nov →
mirage13–60.0710%2 Nov →
anubis13–70.0016%2 Nov →
nuke13–9-0.0620%2 Nov →
cache14–160.0412%2 Nov →
mirage10–13-0.0110%2 Nov →
mirage8–13-0.0013%2 Nov →
nuke8–70.0810%2 Nov →
mirage6–13-0.0423%1 Nov →
anubis13–60.1117%1 Nov →
inferno11–13-0.0718%1 Nov →
dust213–100.0613%1 Nov →
inferno6–13-0.0127%1 Nov →
mirage15–15-0.0123%1 Nov →
anubis13–110.006%1 Nov →
mirage13–90.0110%1 Nov →
anubis16–140.0313%1 Nov →
cache16–12-0.0015%1 Nov →
mirage13–6-0.0314%1 Nov →
ancient13–70.0017%31 Oct →
mirage7–13-0.0016%31 Oct →
nuke16–120.0216%31 Oct →
anubis11–13-0.0014%28 Oct →
dust213–40.0320%28 Oct →
ancient14–160.0513%28 Oct →
dust21–13-0.0010%28 Oct →
inferno12–16-0.0517%28 Oct →
inferno13–50.0413%27 Oct →
anubis9–130.0822%27 Oct →
dust213–90.0410%27 Oct →
anubis9–130.0313%27 Oct →
dust213–160.0518%27 Oct →
mirage13–40.0711%27 Oct →
anubis16–140.0121%27 Oct →
mirage7–13-0.0415%27 Oct →
anubis3–13-0.088%27 Oct →
mirage13–60.0010%27 Oct →
inferno13–60.0310%26 Oct →
dust213–4-0.0121%26 Oct →
dust213–80.0916%26 Oct →
dust210–130.0721%26 Oct →
dust211–130.0218%26 Oct →
dust213–110.0618%26 Oct →
mirage7–13-0.0310%26 Oct →
cache12–16-0.069%26 Oct →
dust213–40.0619%26 Oct →
anubis13–70.0319%26 Oct →
cache13–9-0.034%22 Oct →
mirage3–80.0917%22 Oct →
nuke11–130.0316%22 Oct →
nuke11–130.0413%22 Oct →
anubis13–100.0110%22 Oct →
ancient7–13-0.0214%22 Oct →
cache13–3-0.0315%22 Oct →
mirage13–60.0716%22 Oct →
mirage13–10-0.0311%22 Oct →
mirage13–40.0714%21 Oct →
inferno5–13-0.0310%21 Oct →
dust213–7-0.0223%21 Oct →
nuke13–40.0518%21 Oct →
nuke6–130.019%21 Oct →
cache10–130.067%21 Oct →
inferno5–13-0.0310%21 Oct →
mirage5–13-0.0811%21 Oct →
dust211–13-0.0324%20 Oct →
dust213–70.0017%20 Oct →
mirage10–130.0413%20 Oct →
mirage12–16-0.0317%20 Oct →
dust27–00.0210%20 Oct →
inferno10–13-0.0413%20 Oct →
mirage13–40.0722%20 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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