LegBoner

LegBoner — CS2 Stats

CK76561198217103052[U:1:256837324]Steam profile ↗✓ No bans

104Tracked matches52%Win rate2023Tracked since
1,168Hours in CS2Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

2,729Peak Premier in tracked matches
34Days played since 2023-08-02

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

Performance scores

Aim72
Positioning59
Utility43

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateLLWTLLLLWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +9ms reaction

Win rate down 30pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 731ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 686ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 682ms

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 (+1.5 against its own average).

Aim7.2
Utility4.3
Positioning5.9
Opening Duels2.9

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

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 691ms 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
Positioning5.9
Utility4.3
Mechanics8.2
Opening Duels3.1
Win Impact5.6

Composite 6.1/10 (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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time709ms−7ms
first ⅓ avg 716ms → last ⅓ avg 709ms
Headshot accuracy22.9%−4.8%
first ⅓ avg 27.7% → last ⅓ avg 22.9%

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

0.16Best match rating · 9–2 · inferno, 29 Aug →
58%Best headshot accuracy · 10–13 · dust2, 28 Dec →
453msFastest reaction time · 9–13 · dust2, 11 Aug →
13–1Biggest win · inferno, 7 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 60% over 15nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C259–1636%-0.00
nukeD175–1229%-0.03
mirageB168–850%-0.02
infernoA159–660%-0.01
overpassC83–538%-0.00
ancientB63–350%-0.01
cacheC52–340%-0.03
anubis—32–167%-0.04
vertigo—32–167%-0.01
train—11–0100%-0.03
dogtown—10–10%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,958Lifetime kills
1.11K/D · Top 50% of tracked players
1,529Matches
43.1%Match win rate
43.6%Headshot % · Top 50% of tracked players
19.5%Shot accuracy · Top 5% of tracked players
3,920MVPs
605Hours (in match)
1,670Bombs planted
365Bombs defused

Most-used weapons

Lifetime map wins

3,037dust2
1,820inferno
1,131nuke
742cbble
276train
222vertigo
214office
59italy

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

Faceit stats

Combat

10Matches
50%Win rate
1.04Avg K/D
—ADR
47%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

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.

22.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.3%Spray accuracy
87.1%Counter-strafing
8.9°Preaim
691msReaction time
35.6%T opening success
49.3%CT opening success
0.54Enemies flashed / flash
6.6%Flash assists
7.69HE damage / grenade
10.74Flashes / 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 35.5799% — below the 40% mark we flag

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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.1226%24 Oct →
ancient2–13-0.0618%24 Oct →
nuke16–12-0.0118%23 Oct →
dust215–15-0.0229%9 Oct →
dust27–13-0.0326%2 Oct →
mirage6–13-0.0419%2 Oct →
ancient8–13-0.0223%2 Oct →
cache6–13-0.0121%2 Oct →
mirage13–60.1221%2 Oct →
ancient16–140.0023%2 Oct →
cache13–3-0.0518%4 Sept →
dust213–90.0415%4 Sept →
mirage13–8-0.0222%4 Sept →
inferno16–130.0229%4 Sept →
nuke13–70.0225%2 Sept →
dust28–13-0.0526%2 Sept →
mirage13–70.0031%3 Aug →
dust29–13-0.0025%3 Aug →
cache8–13-0.0426%3 Aug →
inferno7–13-0.027%7 Apr →
dust213–60.0515%7 Apr →
anubis13–9-0.0618%7 Apr →
mirage9–13-0.0515%7 Apr →
nuke4–13-0.0430%7 Apr →
inferno13–10.0726%7 Apr →
dust28–130.0337%7 Apr →
nuke6–13-0.0429%1 Apr →
ancient13–110.0523%31 Mar →
overpass13–8-0.0115%31 Mar →
dust213–110.0224%31 Mar →
dust213–8-0.0441%31 Mar →
inferno8–13-0.0417%17 Jan →
nuke13–6-0.0021%17 Jan →
dust29–130.0726%17 Jan →
mirage2–13-0.1225%17 Jan →
nuke6–13-0.0638%11 Jan →
mirage15–15-0.029%11 Jan →
dust213–30.0623%11 Jan →
inferno16–14-0.0122%10 Jan →
ancient13–10-0.0130%10 Jan →
nuke10–130.0122%10 Jan →
mirage13–60.0923%10 Jan →
dust24–13-0.0332%5 Jan →
ancient7–13-0.0519%5 Jan →
nuke5–13-0.1128%5 Jan →
overpass6–130.0228%5 Jan →
overpass11–13-0.0426%4 Jan →
dust23–13-0.0218%4 Jan →
inferno13–8-0.0330%4 Jan →
dust213–8-0.0212%4 Jan →
mirage8–13-0.0522%4 Jan →
inferno9–13-0.0238%29 Dec →
dust213–110.1036%29 Dec →
mirage13–9-0.0222%28 Dec →
overpass12–160.0123%28 Dec →
dust210–130.0058%28 Dec →
overpass13–9-0.0127%14 Sept →
inferno11–13-0.0119%13 Sept →
nuke6–130.0330%13 Sept →
dust215–150.0233%13 Sept →
mirage6–13-0.0114%13 Sept →
inferno5–120.0112%5 Sept →
mirage11–13-0.0313%5 Sept →
vertigo13–60.0539%5 Sept →
dust212–120.0734%5 Sept →
train13–5-0.0338%5 Sept →
anubis13–8-0.0238%5 Sept →
nuke13–100.0334%5 Sept →
overpass13–8-0.0224%5 Sept →
nuke4–90.0011%29 Aug →
inferno9–20.1627%29 Aug →
overpass2–130.0445%11 Aug →
nuke7–13-0.0235%11 Aug →
dust29–13-0.0436%11 Aug →
dogtown5–90.0037%4 Aug →
inferno13–9-0.0538%27 Jul →
dust28–13-0.0038%27 Jul →
nuke12–12-0.0141%25 Mar →
inferno7–13-0.0537%25 Mar →
mirage3–13-0.0417%25 Mar →
dust211–13-0.0928%25 Mar →
overpass7–13-0.0332%7 Nov →
dust213–8-0.0530%7 Nov →
nuke13–7-0.0130%6 Nov →
dust24–13-0.0418%6 Nov →
inferno13–11-0.0513%6 Nov →
nuke6–13-0.0633%8 Sept →
dust24–13-0.1221%8 Sept →
inferno13–10-0.0931%8 Sept →
mirage16–13-0.0215%14 Aug →
nuke11–13-0.0929%14 Aug →
anubis4–13-0.0639%14 Aug →
dust213–50.0438%14 Aug →
inferno13–9-0.0117%13 Aug →
vertigo11–160.0015%4 Sept →
cache3–9-0.0128%4 Sept →
vertigo9–7-0.0918%29 Aug →
cache15–4-0.0610%3 Aug →
mirage16–130.0224%3 Aug →
mirage16–10-0.0623%2 Aug →

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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