Bone

Bone — CS2 Stats

76561198067773206[U:1:107507478]Steam profile ↗✓ No bans

467Tracked matches40%Win rate2021Tracked since
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating13,744Blue band · top ~35.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2025 (389 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: 13,744 -4,601 24 Jan – 8 Oct · 24 days played
13,74419,889peak 19,88924 Jan8 Oct
19,999Peak Premier in tracked matches
37Days played since 2025-01-24

Premier CS Rating

  • 6,145 below peak (19,889)
  • -1,625 over 30 days · declining
  • Next: Purple band at 15,000 — 1,256 to go
  • Reached: 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.

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CSDB.GGBonePREMIER13,744 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning52
Utility13

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateWLLLLLWLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +1.2pp headshot accuracy · −65ms 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 -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 634ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 605ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 637ms

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 (+2 against its own average).

Aim6.1
Utility1.3
Positioning5.2
Opening Duels3.0

Limited utility dependence

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

donk

Plays most like donk 89% 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. 639ms 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
Positioning5.2
Utility1.3
Mechanics6.3
Opening Duels2.0
Win Impact1.7

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time645ms+35ms
first ⅓ avg 610ms → last ⅓ avg 645ms
Headshot accuracy17.0%+0.2%
first ⅓ avg 16.8% → last ⅓ avg 17.0%

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

0.12Best match rating · 13–2 · mirage, 9 Sept →
35%Best headshot accuracy · 4–13 · dust2, 11 Sept →
453msFastest reaction time · 13–2 · mirage, 16 Mar →
13–2Biggest win · mirage, 9 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 75% over 8dust2Weakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
dust2D279–1833%-0.02
ancientD155–1033%-0.03
mirageB137–654%0.01
anubisC135–838%-0.03
infernoB126–650%-0.02
nukeS86–275%-0.02
overpassB63–350%0.02
train—41–325%-0.03
cache—11–0100%-0.06
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
45%Win rate
0.88Avg K/D
—ADR
46%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLW

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.

17.1%Headshot accuracy
32.3%Accuracy (enemy spotted)
38.0%Spray accuracy
78.6%Counter-strafing
9.4°Preaim
639msReaction time
32.6%T opening success
43.7%CT opening success
0.51Enemies flashed / flash
4.6%Flash assists
13.83HE damage / grenade
4.44Flashes / 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 32.637% — below the 40% mark we flag

Spend your practice time on Dust 2

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 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0616%4 May →
dust24–13-0.059%8 Oct →
inferno4–130.0018%7 Oct →
dust27–13-0.0314%22 Sept →
mirage10–13-0.0221%22 Sept →
dust211–13-0.0418%12 Sept →
train13–8-0.0417%12 Sept →
anubis9–100.0122%11 Sept →
nuke13–4-0.0219%11 Sept →
mirage9–13-0.0729%11 Sept →
dust24–130.0135%11 Sept →
inferno16–12-0.0115%10 Sept →
inferno7–130.0611%10 Sept →
ancient4–13-0.108%10 Sept →
overpass13–110.0412%10 Sept →
overpass13–90.0316%10 Sept →
mirage3–10-0.0318%10 Sept →
mirage13–100.058%10 Sept →
dust27–13-0.0729%10 Sept →
dust213–10-0.0318%10 Sept →
overpass13–100.0431%9 Sept →
mirage13–20.1224%9 Sept →
dust213–60.0716%9 Sept →
ancient5–13-0.104%9 Sept →
overpass7–130.0218%9 Sept →
dust28–7-0.0418%9 Sept →
inferno14–16-0.0416%8 Sept →
ancient8–13-0.045%8 Sept →
dust27–13-0.0521%5 Sept →
overpass10–13-0.0316%4 Sept →
mirage6–13-0.058%4 Sept →
inferno13–10-0.0114%4 Sept →
nuke13–110.0022%3 Sept →
inferno13–70.0113%3 Sept →
mirage13–60.0312%3 Sept →
dust24–130.0129%3 Sept →
dust29–13-0.0018%2 Sept →
overpass9–130.0128%2 Sept →
inferno4–13-0.053%27 Mar →
inferno4–13-0.0215%21 Mar →
dust26–13-0.0516%21 Mar →
inferno13–10-0.0516%21 Mar →
inferno13–10-0.0412%21 Mar →
dust213–10-0.0319%19 Mar →
ancient13–70.0319%19 Mar →
dust213–110.0123%17 Mar →
anubis3–13-0.0721%16 Mar →
mirage13–20.1022%16 Mar →
ancient2–13-0.1117%16 Mar →
dust215–15-0.0414%15 Mar →
train3–13-0.0810%12 Mar →
anubis8–13-0.0623%9 Mar →
dust26–13-0.0116%9 Mar →
ancient12–16-0.0413%9 Mar →
nuke9–13-0.0120%2 Mar →
anubis13–6-0.0610%2 Mar →
dust213–70.0326%2 Mar →
train2–13-0.0314%2 Mar →
nuke13–7-0.0915%2 Mar →
ancient10–13-0.0117%24 Feb →
dust216–130.0120%24 Feb →
anubis6–13-0.0422%23 Feb →
mirage16–12-0.0230%23 Feb →
anubis9–13-0.069%21 Feb →
ancient10–13-0.0214%21 Feb →
ancient8–13-0.049%20 Feb →
inferno13–9-0.039%20 Feb →
mirage16–120.0113%20 Feb →
ancient13–4-0.0125%20 Feb →
anubis7–13-0.0212%19 Feb →
nuke4–13-0.0214%19 Feb →
dust210–13-0.0123%19 Feb →
dust28–13-0.037%18 Feb →
dust215–15-0.0313%18 Feb →
anubis13–8-0.0221%18 Feb →
ancient13–11-0.0313%18 Feb →
ancient13–10-0.0218%18 Feb →
anubis10–130.0016%18 Feb →
dust29–13-0.0513%18 Feb →
dust26–13-0.107%15 Feb →
nuke16–120.0624%15 Feb →
mirage5–13-0.1118%13 Feb →
dust26–13-0.0027%12 Feb →
nuke13–11-0.044%12 Feb →
mirage13–80.0619%12 Feb →
anubis13–11-0.0215%11 Feb →
ancient13–60.0014%11 Feb →
ancient11–13-0.0018%10 Feb →
dust28–13-0.018%10 Feb →
mirage7–130.0618%4 Feb →
anubis13–11-0.0225%4 Feb →
train9–130.0224%4 Feb →
anubis13–40.0320%4 Feb →
dust213–6-0.0018%4 Feb →
vertigo3–13-0.039%26 Jan →
anubis7–13-0.0617%26 Jan →
ancient15–15-0.0220%26 Jan →
dust216–12-0.0315%26 Jan →
nuke13–5-0.0131%25 Jan →
inferno7–13-0.0514%24 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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