BadTox1c

BadTox1c — CS2 Stats

76561198150399479[U:1:190133751]Steam profile ↗✓ No bans

214Tracked matches43%Win rate2025Tracked since
271Hours in CS
CSDB Rating4.3 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 2,523 -995 20 Mar – 30 Jun · 14 days played
2,5234,732peak 4,73220 Mar30 Jun
4,732Peak Premier in tracked matches
657Highest Faceit ELO seen on CSDB
49Days played since 2026-03-18

Faceit ELO

  • At peak — 657
  • Next: Level 3 at 751 — 94 to go
  • Reached: Level 2

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

Share this profile

CSDB.GGBadTox1cPEAK ELO657csdb.gg/stats

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Performance scores

Aim66
Positioning51
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY39–53–8Last 10039%Win rateLLWWWWWLLW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −15ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 626ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 593ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 600ms

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 (+2.6 against its own average).

Aim6.6
Utility2.9
Positioning5.1
Opening Duels2.2
Clutch0.0

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

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 636ms 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
Positioning5.1
Utility2.9
Mechanics5.5
Opening Duels2.1
Win Impact2.6

Composite 4.3/10 (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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time647ms−60ms
first ⅓ avg 707ms → last ⅓ avg 647ms
Headshot accuracy16.0%−0.4%
first ⅓ avg 16.4% → 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.

Personal bests

0.16Best match rating · 4–1 · dust2, 19 Apr →
55%Best headshot accuracy · 5–13 · dust2, 12 Apr →
438msFastest reaction time · 13–10 · ancient, 22 Mar →
13–2Biggest win · anubis, 13 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 60% over 15dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.02
infernoD217–1433%-0.02
dust2D185–1328%-0.01
ancientA159–660%0.01
anubisC114–736%-0.02
nukeD62–433%-0.06
cache—40–40%-0.04
overpass—21–150%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,871Lifetime kills
0.81K/D
1,204Matches
26.4%Match win rate
35.7%Headshot %
8.0%Shot accuracy
1,004MVPs
271Hours (in match)
500Bombs planted
120Bombs defused

Most-used weapons

Lifetime map wins

1,051dust2
940inferno
483nuke
159train
64ar_shoots
37vertigo
36lake
17ar_baggage

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

Faceit stats

Combat

14Matches
14%Win rate
0.54Avg K/D
56.3ADR
32%Headshot %

Clutches & streaks

17%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno520%0.537.8
Ancient30%0.579.3
Mirage30%0.508.0
Nuke250%0.6810.5
Anubis10%0.385.0

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.

15.8%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.2%Spray accuracy
74.8%Counter-strafing
8.3°Preaim
636msReaction time
45.4%T opening success
31.8%CT opening success
0.48Enemies flashed / flash
0.0%Flash assists
8.68HE damage / grenade
2.78Flashes / 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. 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 0.4814 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.7584% — 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.

28% win rate across 18 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
inferno8–13-0.089%16 Sept →
ancient11–13-0.0811%16 Sept →
mirage13–60.0426%16 Sept →
ancient13–11-0.0517%30 Aug →
inferno13–80.0713%30 Aug →
nuke13–8-0.047%29 Aug →
mirage13–70.0110%28 Aug →
anubis10–13-0.0614%26 Aug →
dust23–130.0117%26 Aug →
inferno13–5-0.0421%26 Aug →
mirage7–13-0.0118%16 Aug →
inferno10–13-0.0221%16 Aug →
ancient13–110.0411%16 Aug →
inferno10–130.0226%12 Aug →
cache3–130.0220%10 Aug →
inferno9–13-0.0612%9 Aug →
inferno7–13-0.0215%9 Aug →
anubis13–16-0.0316%1 Aug →
ancient5–13-0.067%29 Jul →
inferno13–5-0.0118%29 Jul →
dust213–70.1128%20 Jul →
mirage13–50.1015%30 Jun →
inferno13–50.0012%24 Jun →
mirage12–12-0.0727%24 Jun →
mirage2–13-0.0827%24 Jun →
dust210–13-0.0111%24 Jun →
mirage12–12-0.079%17 Jun →
mirage4–13-0.007%17 Jun →
dust213–10-0.0413%17 Jun →
inferno11–13-0.0819%10 Jun →
cache10–13-0.0317%10 Jun →
mirage8–13-0.0614%10 Jun →
dust23–13-0.0521%8 Jun →
inferno13–11-0.0611%31 May →
mirage13–7-0.0523%31 May →
inferno3–9-0.0219%24 May →
anubis13–40.0116%24 May →
dust213–11-0.0019%24 May →
nuke6–9-0.0510%18 May →
ancient13–40.1019%13 May →
mirage13–4-0.0521%13 May →
anubis13–2-0.0312%13 May →
inferno8–80.0517%11 May →
nuke8–8-0.056%11 May →
mirage7–13-0.0622%6 May →
cache4–13-0.1040%6 May →
dust28–13-0.0617%6 May →
inferno12–120.0216%2 May →
dust213–3-0.1124%29 Apr →
ancient13–4-0.0116%29 Apr →
cache11–13-0.049%29 Apr →
overpass6–13-0.1212%27 Apr →
nuke2–9-0.240%27 Apr →
dust211–130.0315%26 Apr →
dust211–13-0.0213%21 Apr →
ancient8–00.089%21 Apr →
dust212–120.0215%20 Apr →
nuke12–12-0.0123%19 Apr →
mirage11–13-0.0311%19 Apr →
anubis13–20.0113%19 Apr →
dust24–10.1644%19 Apr →
mirage12–12-0.037%12 Apr →
anubis5–13-0.0726%12 Apr →
mirage7–13-0.0142%12 Apr →
dust25–13-0.0355%12 Apr →
mirage9–13-0.0215%10 Apr →
mirage9–3-0.024%8 Apr →
anubis9–130.0115%8 Apr →
ancient10–130.017%8 Apr →
ancient10–130.0211%7 Apr →
inferno10–13-0.0614%5 Apr →
ancient2–13-0.0117%5 Apr →
dust21–13-0.0614%3 Apr →
dust28–13-0.0313%2 Apr →
anubis5–13-0.0418%1 Apr →
anubis10–130.0212%1 Apr →
mirage13–40.0115%1 Apr →
inferno7–130.0920%1 Apr →
ancient16–120.0111%1 Apr →
mirage13–9-0.0315%1 Apr →
anubis7–13-0.0119%1 Apr →
ancient13–70.0723%31 Mar →
mirage13–60.0830%30 Mar →
dust27–130.0511%30 Mar →
inferno4–9-0.0622%29 Mar →
inferno3–9-0.1216%29 Mar →
dust210–13-0.0316%29 Mar →
nuke13–80.0413%29 Mar →
mirage13–8-0.0331%28 Mar →
mirage13–60.002%27 Mar →
dust22–9-0.0714%27 Mar →
inferno13–2-0.0215%24 Mar →
mirage11–13-0.0530%23 Mar →
overpass13–40.0121%23 Mar →
ancient13–10-0.0322%22 Mar →
anubis13–60.0122%22 Mar →
inferno13–5-0.028%20 Mar →
ancient11–130.0316%19 Mar →
inferno7–9-0.0020%18 Mar →
ancient13–50.088%18 Mar →

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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