T-Bone

T-Bone — CS2 Stats

GB76561197964015847[U:1:3750119]Steam profile ↗✓ No bans

1,922Tracked matches43%Win rate2020Tracked since
2,637Hours in CS5Hrs last 2 wks
CSDB Rating4.2 DevelopingSupport
CSDB Leaderboard#97132 of 258674 tracked
FaceitLevel 7 · 1,669 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,122 -521 22 Sept – 19 Jan · 15 days played
17,55419,702peak 19,70222 Sept19 Jan
19,702Peak Premier in tracked matches
1,669Highest Faceit ELO seen on CSDB
56Days played since 2025-09-21

Faceit ELO

  • At peak — 1,669
  • Next: Level 9 at 1,751 — 82 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate51.0%45.7%46.8%above
Shot accuracy9.2%12.7%13.0%3.8% short
Kill/death ratio1.071.051.06meets
Match win rate48.3%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGT-BoneFACEITLevel 7 · 1,669 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,669csdb.gg/stats

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Performance scores

Aim46
Positioning48
Utility57

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLWLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.4pp headshot accuracy · −22ms 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 -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 638ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 633ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 644ms

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).

Aim4.6
Utility5.7
Positioning4.8
Opening Duels2.3
Clutch3.6

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

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms 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

Aim4.6
Positioning4.8
Utility5.7
Mechanics5.0
Opening Duels2.3
Win Impact2.8

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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time657ms+11ms
first ⅓ avg 646ms → last ⅓ avg 657ms
Headshot accuracy20.8%+0.9%
first ⅓ avg 19.9% → last ⅓ avg 20.8%

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 · 5–13 · inferno, 17 Oct →
35%Best headshot accuracy · 8–13 · mirage, 30 Nov →
406msFastest reaction time · 14–16 · inferno, 5 Oct →
13–1Biggest win · overpass, 8 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
11–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 60% over 15nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3116–1552%-0.02
infernoA2011–955%0.00
ancientB199–1047%-0.02
overpassA159–660%0.00
nukeC52–340%-0.04
anubis—41–325%-0.03
cache—31–233%-0.02
dust2—31–233%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,213Lifetime kills
1.07K/D · Top 50% of Level 7 players
3,116Matches
48.3%Match win rate · Top 50% of Level 7 players
51.0%Headshot % · Top 50% of Level 7 players
9.2%Shot accuracy
7,344MVPs
1,433Hours (in match)
3,879Bombs planted
1,151Bombs defused

Most-used weapons

AK-4725,533
AWP3,937
MAC-101,708
MP91,550
FAMAS1,376

Lifetime map wins

5,343inferno
3,242nuke
1,635vertigo
881dust2
441train
49italy
46office
21lake

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

Faceit stats

Combat

1,249Matches
51%Win rate
0.93Avg K/D
66.3ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient15450%0.9914.2
Mirage12455%0.9013.9
Inferno9152%0.8912.6
Anubis7749%0.9113.3
Overpass5673%1.0213.7
Nuke3253%1.0214.3
Vertigo3241%0.9914.6
Dust2825%0.9814.0

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.

21.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.8%Spray accuracy
72.5%Counter-strafing
12.6°Preaim
655msReaction time
28.4%T opening success
48.6%CT opening success
0.62Enemies flashed / flash
4.3%Flash assists
9.41HE damage / grenade
6.30Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6183° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0917%7 Sept →
cache7–13-0.0423%7 Sept →
mirage13–6-0.0326%29 Aug →
inferno6–13-0.0232%29 Aug →
ancient10–13-0.0817%26 Aug →
nuke3–13-0.0917%23 Aug →
anubis13–5-0.0329%23 Aug →
cache3–13-0.0233%23 Aug →
ancient0–9-0.090%23 Aug →
mirage13–6-0.0511%9 Aug →
ancient7–13-0.0320%6 Aug →
ancient13–8-0.0321%6 Aug →
mirage11–130.0129%6 Aug →
cache13–70.0127%6 Aug →
inferno6–13-0.0012%29 Jul →
ancient13–4-0.0114%28 Jul →
mirage3–13-0.0717%21 Jul →
mirage13–80.0020%21 Jul →
mirage10–13-0.0518%20 Jul →
inferno13–110.0233%20 Jul →
anubis3–13-0.0110%28 Jun →
ancient11–130.0424%28 Jun →
inferno13–5-0.0420%26 Apr →
inferno10–130.0831%21 Apr →
overpass4–13-0.0517%18 Apr →
inferno13–11-0.0127%18 Apr →
nuke13–10-0.0114%11 Apr →
overpass13–30.0512%11 Apr →
overpass6–13-0.0331%9 Apr →
inferno13–30.0316%8 Apr →
inferno13–9-0.0619%31 Mar →
mirage13–10-0.0227%31 Mar →
mirage14–16-0.0524%30 Mar →
ancient8–13-0.0119%30 Mar →
mirage13–50.0213%26 Mar →
overpass13–90.0113%26 Mar →
overpass13–20.0416%26 Mar →
ancient11–13-0.0518%26 Mar →
mirage13–10-0.018%14 Mar →
mirage11–13-0.0421%12 Mar →
overpass7–13-0.0729%11 Mar →
mirage11–13-0.0017%8 Mar →
inferno7–13-0.0217%8 Mar →
overpass13–1-0.026%8 Mar →
mirage10–13-0.0424%28 Feb →
mirage9–13-0.0427%22 Feb →
mirage13–11-0.0316%22 Feb →
anubis9–130.0123%18 Feb →
inferno13–50.0319%19 Jan →
ancient13–7-0.0128%18 Jan →
mirage3–13-0.0314%11 Jan →
ancient11–13-0.0310%11 Jan →
mirage9–13-0.0018%11 Jan →
dust25–13-0.0516%2 Jan →
nuke6–13-0.0129%30 Dec →
mirage13–110.0224%30 Dec →
mirage13–110.0412%30 Dec →
mirage11–13-0.0811%23 Dec →
overpass13–40.0630%23 Dec →
dust213–10-0.060%17 Dec →
ancient16–14-0.0623%16 Dec →
inferno13–11-0.019%16 Dec →
mirage13–11-0.0321%16 Dec →
mirage13–9-0.0725%14 Dec →
overpass14–16-0.0113%14 Dec →
ancient11–13-0.049%13 Dec →
mirage13–10-0.0220%11 Dec →
mirage13–11-0.0422%9 Dec →
nuke13–60.0113%9 Dec →
ancient13–9-0.0325%9 Dec →
mirage13–8-0.027%7 Dec →
overpass13–80.0115%7 Dec →
dust26–13-0.0517%2 Dec →
ancient13–70.0025%2 Dec →
mirage7–13-0.0511%2 Dec →
inferno13–100.0528%30 Nov →
mirage8–13-0.0135%30 Nov →
mirage13–100.0417%22 Nov →
ancient13–30.0620%22 Nov →
overpass12–16-0.0218%22 Nov →
mirage6–13-0.0019%19 Nov →
overpass13–60.0722%18 Oct →
inferno5–130.1127%17 Oct →
ancient12–120.0133%17 Oct →
inferno6–13-0.0214%12 Oct →
mirage5–13-0.0212%7 Oct →
overpass13–8-0.0212%7 Oct →
mirage13–110.0331%7 Oct →
inferno14–160.0013%5 Oct →
inferno13–16-0.0221%3 Oct →
ancient12–120.0215%1 Oct →
inferno8–13-0.0621%1 Oct →
overpass13–70.0110%29 Sept →
inferno13–5-0.0232%29 Sept →
ancient13–5-0.0415%29 Sept →
nuke9–13-0.1117%28 Sept →
overpass9–13-0.0023%23 Sept →
inferno13–8-0.0327%22 Sept →
inferno13–60.0417%21 Sept →
ancient13–11-0.0122%21 Sept →

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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