BUTTon — CS2 Stats

76561199809544523[U:1:1849278795]✓ No bans

2,038Tracked matches54%Win rate2025Tracked since
CSDB Rating5.8 SolidHybrid Rifler
Premier CS Rating15,821Purple band · top ~25.1% of ranked players (population est.)
CSDB Leaderboard#12124 of 19669 tracked
FaceitLevel 7 · 805 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBUTTonFACEITLevel 7 · 805 ELOSTANDINGTop 42.3% of rankedPREMIER15,821 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning54
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWLLWWLWWTT

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression9.2
Utility5.2
Positioning5.4
Opening Duels3.6
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

jL

Plays most like jL 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 594ms 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

Aim6.6
Positioning5.4
Utility5.2
Mechanics6.6
Opening Duels3.6
Win Impact6.2

Composite 5.8/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time596ms−49ms
first ⅓ avg 645ms → last ⅓ avg 596ms
Headshot accuracy16.0%−1.0%
first ⅓ avg 17.0% → last ⅓ avg 16.0%

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.

Highlights

0.28Best rating — nuke 13–10
132Biggest win — mirage
8Longest win streak
89In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 90% over 10infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB28131546%0.00
dust2B28131546%0.00
ancientC125742%0.02
infernoC114736%-0.03
nukeS109190%0.04
anubisB84450%0.02
cache21150%-0.01
vertigo1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

406Matches
51%Win rate
1.05Avg K/D
76.2ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage15646%1.0614.8
Dust210255%1.1115.1
Ancient4159%1.0416.1
Anubis3951%1.0415.9
Inferno2658%0.9714.7
Nuke2050%0.9214.1
Cache1443%0.9214.0
Overpass875%1.0215.0

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.

16.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
32.8%Spray accuracy
79.9%Counter-strafing
8.5°Preaim
594msReaction time
37.7%T opening success
50.8%CT opening success
0.57Enemies flashed / flash
2.9%Flash assists
7.06HE damage / grenade
9.92Flashes / 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 37.7358% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–70.0124%25 Aug
inferno13–16-0.0017%25 Aug
mirage5–13-0.0119%25 Aug
mirage13–70.0010%24 Aug
nuke13–60.1010%24 Aug
anubis9–13-0.0120%24 Aug
dust213–80.0026%24 Aug
ancient13–40.036%24 Aug
dust215–15-0.0218%24 Aug
dust215–150.0217%24 Aug
mirage13–10-0.0018%24 Aug
mirage5–13-0.0422%23 Aug
nuke13–70.039%23 Aug
dust213–80.0318%23 Aug
mirage10–130.0023%23 Aug
ancient10–130.0020%23 Aug
cache13–11-0.0613%22 Aug
ancient5–13-0.0515%22 Aug
mirage12–160.0315%21 Aug
mirage6–13-0.0435%21 Aug
mirage12–16-0.0021%20 Aug
mirage13–90.1218%20 Aug
dust213–3-0.0212%20 Aug
ancient13–110.079%19 Aug
nuke13–100.0010%19 Aug
dust213–80.0110%19 Aug
inferno10–13-0.0012%19 Aug
mirage4–13-0.0422%18 Aug
anubis13–80.0521%18 Aug
inferno1–11-0.070%18 Aug
anubis7–13-0.0614%17 Aug
dust211–13-0.0810%17 Aug
ancient13–50.1212%17 Aug
inferno4–13-0.097%15 Aug
dust213–160.0120%15 Aug
ancient7–13-0.0512%15 Aug
inferno13–10-0.0425%15 Aug
ancient13–90.0319%15 Aug
dust29–130.0916%14 Aug
mirage11–13-0.0313%14 Aug
dust210–130.0630%14 Aug
mirage13–60.0624%14 Aug
inferno13–110.0222%14 Aug
mirage13–20.1444%13 Aug
dust213–2-0.0526%13 Aug
inferno4–13-0.1111%13 Aug
mirage13–11-0.0120%13 Aug
dust23–13-0.0825%13 Aug
vertigo7–13-0.0526%13 Aug
nuke13–100.2836%13 Aug
mirage10–13-0.0227%12 Aug
mirage13–10-0.0417%12 Aug
dust29–130.0921%11 Aug
inferno6–13-0.0135%11 Aug
mirage13–5-0.0340%10 Aug
anubis16–140.0410%10 Aug
nuke13–80.0618%10 Aug
nuke13–11-0.0111%7 Aug
dust213–80.0324%7 Aug
mirage13–40.0521%6 Aug
inferno13–90.0126%6 Aug
dust213–10-0.0126%6 Aug
ancient11–130.0917%5 Aug
ancient13–90.0212%5 Aug
anubis10–130.1116%5 Aug
ancient13–160.0019%5 Aug
mirage11–13-0.0228%3 Aug
inferno13–70.0224%3 Aug
mirage15–15-0.0513%3 Aug
mirage13–16-0.0221%3 Aug
nuke13–8-0.0418%3 Aug
mirage15–150.0129%3 Aug
nuke13–70.0210%3 Aug
dust213–110.0416%1 Aug
dust210–13-0.0312%1 Aug
nuke7–13-0.0313%1 Aug
dust28–130.0428%1 Aug
dust213–100.0118%1 Aug
dust27–130.0318%31 Jul
dust24–13-0.0312%31 Jul
cache7–130.0416%31 Jul
dust21–13-0.0321%31 Jul
mirage13–80.0220%31 Jul
mirage13–90.0817%30 Jul
ancient11–13-0.0626%30 Jul
anubis13–110.0718%29 Jul
dust213–40.0112%29 Jul
dust213–70.0019%28 Jul
dust210–130.0522%28 Jul
mirage5–13-0.0515%28 Jul
ancient11–130.068%28 Jul
mirage13–70.0313%27 Jul
dust216–120.0425%27 Jul
mirage13–80.0417%27 Jul
inferno11–13-0.0610%27 Jul
dust213–7-0.0815%27 Jul
dust28–13-0.0421%27 Jul
anubis13–6-0.037%27 Jul
anubis11–13-0.0412%25 Jul
mirage14–16-0.0717%24 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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