bonk777

bonk777 — CS2 Stats

CA76561199239303674[U:1:1279037946]Steam profile ↗✓ No bans

648Tracked matches36%Win rate2024Tracked since
CSDB Rating4.1 DevelopingClutch Specialist
Premier CS Rating7,280Light Blue band · top ~67.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (4 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 30 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,280 +2,919 2 Dec19 Sept · 10 days played
4,1158,192peak 8,1922 Dec19 Sept
8,539Peak Premier in tracked matches
42Days played since 2025-11-30

Premier CS Rating

  • 912 below peak (8,192)
  • Next: Blue band at 10,000 2,720 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGbonk777PREMIER7,280 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning54
Utility24

0–100 skill scores via Leetify.

Recent form

COLD38557Last 10038%Win rateLWWWLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.7pp headshot accuracy · +13ms 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

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 537ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 555ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 548ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+4.7 against its own average).

Aim7.2
Utility2.4
Positioning5.4
Opening Duels3.6
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

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

Reaction time. 571ms 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

Aim7.2
Positioning5.4
Utility2.4
Mechanics4.9
Opening Duels2.4
Win Impact0.2

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time569ms−55ms
first ⅓ avg 624ms → last ⅓ avg 569ms
Headshot accuracy13.1%−3.3%
first ⅓ avg 16.4% → last ⅓ avg 13.1%

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

0.21Best match rating · 5–13 · nuke, 25 Dec
100%Best headshot accuracy · 5–13 · nuke, 25 Dec
328msFastest reaction time · 4–9 · inferno, 6 Jul
13–1Biggest win · mirage, 5 Dec

Across the last 100 tracked matches.

Highlights

5Longest win streak
99In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 47% over 19ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC28101836%-0.04
nukeB1991047%0.01
mirageC1881044%0.02
ancientD93633%0.01
anubisD62433%0.01
dust24040%0.01
cache41325%0.01
vertigo32167%0.01
office21150%-0.04
aztec_aim110100%0.08
aim_redline_faceit1010%-0.08
awp_asylum1010%-0.18
poseidon1010%-0.06
overpass1010%-0.01
train1010%0.03
rooftop110100%0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
33%Win rate
0.88Avg K/D
65.7ADR
47%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.9210.0
Dust2367%1.1613.0
Anubis20%0.509.0
Inferno20%0.7412.0
Nuke1100%0.9313.0

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.

14.0%Headshot accuracy
39.4%Accuracy (enemy spotted)
44.7%Spray accuracy
72.2%Counter-strafing
10.0°Preaim
571msReaction time
38.5%T opening success
40.3%CT opening success
0.32Enemies flashed / flash
0.0%Flash assists
5.23HE damage / grenade
3.78Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.9958% — below the 15% mark we flag

    Aim Training
  2. 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 0.32 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 38.5116% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0327%19 Sept
mirage13–30.075%19 Sept
vertigo9–70.058%17 Sept
vertigo13–50.0217%17 Sept
office4–13-0.0612%17 Sept
nuke3–13-0.0519%12 Sept
mirage11–13-0.024%12 Sept
mirage5–13-0.0412%12 Sept
dust24–13-0.0714%2 Sept
inferno11–130.038%31 Aug
inferno8–8-0.057%31 Aug
dust24–130.0216%30 Aug
mirage7–130.0215%30 Aug
ancient11–130.0113%30 Aug
nuke13–70.0410%30 Aug
mirage16–140.0110%30 Aug
nuke13–40.089%29 Aug
inferno13–70.0021%29 Aug
mirage13–40.0317%29 Aug
anubis12–160.0415%29 Aug
inferno13–110.0113%28 Aug
inferno9–130.0211%28 Aug
cache13–110.0212%27 Aug
cache8–13-0.039%27 Aug
cache6–130.0320%26 Aug
aztec_aim13–80.0812%23 Aug
aim_redline_faceit9–13-0.0816%23 Aug
awp_asylum5–13-0.180%23 Aug
dust215–150.0519%22 Aug
mirage3–130.0411%21 Aug
ancient15–150.0114%21 Aug
nuke9–130.0322%21 Aug
anubis9–13-0.0116%21 Aug
mirage13–50.0813%21 Aug
mirage11–130.0320%21 Aug
nuke16–140.0212%20 Aug
ancient15–15-0.009%20 Aug
anubis13–100.0518%18 Aug
inferno13–7-0.0118%17 Aug
ancient13–70.0211%17 Aug
inferno3–9-0.1219%17 Aug
ancient13–70.1114%16 Aug
mirage9–13-0.0213%16 Aug
nuke1–9-0.2129%15 Aug
anubis8–13-0.064%27 Jul
inferno4–13-0.089%27 Jul
nuke13–10-0.0015%27 Jul
ancient6–12-0.0438%6 Jul
inferno4–9-0.270%6 Jul
cache12–120.0111%13 May
nuke9–70.0627%28 Apr
vertigo7–13-0.0426%28 Apr
anubis2–130.0021%11 Mar
inferno1–13-0.0014%11 Mar
mirage7–13-0.039%2 Mar
ancient11–130.0017%11 Feb
anubis13–70.0117%9 Feb
ancient16–140.0026%9 Feb
poseidon6–9-0.065%29 Jan
inferno13–80.0329%29 Jan
nuke4–9-0.108%5 Jan
inferno1–9-0.120%5 Jan
inferno4–9-0.1314%30 Dec
inferno6–9-0.0517%30 Dec
nuke15–150.0115%25 Dec
nuke5–130.21100%25 Dec
overpass2–13-0.0117%20 Dec
inferno9–60.1417%20 Dec
mirage13–110.0415%14 Dec
inferno6–90.0511%14 Dec
mirage10–13-0.0918%14 Dec
mirage13–60.0313%14 Dec
inferno13–60.0122%12 Dec
train10–130.0318%12 Dec
nuke13–3-0.018%12 Dec
dust212–120.0315%12 Dec
nuke11–13-0.039%9 Dec
inferno2–9-0.1613%9 Dec
inferno9–40.0513%8 Dec
inferno9–30.1533%8 Dec
inferno7–9-0.1116%6 Dec
nuke7–90.0121%6 Dec
rooftop9–20.119%6 Dec
inferno1–9-0.2227%6 Dec
inferno4–13-0.0617%5 Dec
inferno13–6-0.0011%5 Dec
mirage7–20.1312%5 Dec
nuke9–40.0826%5 Dec
inferno5–9-0.0418%5 Dec
mirage13–10.099%5 Dec
nuke9–70.1716%5 Dec
office13–5-0.0329%4 Dec
inferno3–9-0.1222%3 Dec
inferno9–6-0.0014%3 Dec
ancient1–13-0.0610%2 Dec
nuke2–9-0.1428%1 Dec
mirage6–13-0.1014%1 Dec
inferno2–90.0314%30 Nov
mirage11–130.0215%30 Nov
nuke13–90.008%30 Nov

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 →