ToXiC_JoKeR

ToXiC_JoKeR — CS2 Stats

MY76561198795576415[U:1:835310687]Steam profile ↗✓ No bans

925Tracked matches48%Win rate2023Tracked since
CSDB Rating3.6 LearningClutch Specialist
Premier CS Rating16,079Purple band · top ~24.1% of ranked players (population est.)
FaceitLevel 4 · 1,019 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (19 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 14 days played since 19 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,079 -428 7 Aug29 Aug · 7 days played
16,07918,221peak 18,2217 Aug29 Aug
18,862Peak Premier in tracked matches
1,019Highest Faceit ELO seen on CSDB
14Days played since 2026-07-19

Faceit ELO

  • At peak — 1,019
  • Next: Level 5 at 1,051 32 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,142 below peak (18,221)
  • Next: Pink band at 20,000 3,921 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGToXiC_JoKeRFACEITLevel 4 · 1,019 ELOSTANDINGTop 81.0% of rankedPREMIER16,079 · Purple bandPEAK ELO1,019csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim17
Positioning52
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY444412Last 10044%Win rateWLLLLWWWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.9pp headshot accuracy · −75ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 594ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 621ms

Last 20

  • 983 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 8%
  • Avg reaction 659ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.3 against its own average).

Aim1.7
Utility7.0
Positioning5.2
Opening Duels3.0
Clutch8.2

Strong CT-side openerEffective flashesReliable in 1v1s

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.

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 58% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.7
Positioning5.2
Utility7.0
Mechanics1.6
Opening Duels3.4
Win Impact4.3

Composite 3.6/10 (Learning), 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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time639ms−7ms
first ⅓ avg 646ms → last ⅓ avg 639ms
Headshot accuracy8.8%−1.5%
first ⅓ avg 10.3% → last ⅓ avg 8.8%

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

0.18Best match rating · 9–1 · inferno, 29 Aug
33%Best headshot accuracy · 8–2 · mirage, 10 Aug
430msFastest reaction time · 2–10 · nuke, 15 Aug
13–1Biggest win · inferno, 22 Aug

Across the last 100 tracked matches.

Highlights

3Longest win streak
66In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 63% over 8cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C25111444%-0.00
mirageB178947%-0.01
infernoC156940%0.00
ancientA138562%-0.02
cacheC114736%-0.01
anubisA85363%-0.02
vertigoC52340%0.00
nuke4040%-0.03
overpass1010%-0.01
train1010%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

25Matches
64%Win rate
1.30Avg K/D
86.9ADR
36%Headshot %

Clutches & streaks

61%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%1.3013.7
Inferno560%0.9513.2
Dust2450%1.6416.3
Nuke3100%1.6117.3
Ancient333%1.2017.3
Train1100%1.2117.0

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.

9.5%Headshot accuracy
31.5%Accuracy (enemy spotted)
32.8%Spray accuracy
57.2%Counter-strafing
14.3°Preaim
634msReaction time
20.2%T opening success
57.6%CT opening success
0.72Enemies flashed / flash
5.9%Flash assists
8.25HE damage / grenade
16.63Flashes / 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 14.2805° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.4636% — below the 15% mark we flag

    Aim Training
Spend your practice time on Cache

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.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache13–11-0.029%12 Sept
mirage5–130.0410%12 Sept
dust26–130.0212%12 Sept
ancient5–13-0.085%12 Sept
inferno8–13-0.013%12 Sept
inferno9–3-0.140%12 Sept
dust213–50.038%12 Sept
vertigo13–9-0.016%12 Sept
overpass1–13-0.016%12 Sept
mirage13–70.0510%12 Sept
cache11–130.088%12 Sept
inferno12–120.058%12 Sept
nuke6–9-0.057%12 Sept
mirage13–90.0916%4 Sept
anubis13–110.047%4 Sept
dust213–110.0413%4 Sept
vertigo9–130.029%4 Sept
cache12–12-0.028%4 Sept
nuke12–120.037%4 Sept
mirage13–6-0.083%29 Aug
dust29–130.0414%29 Aug
ancient12–12-0.0313%29 Aug
mirage13–50.054%29 Aug
ancient8–13-0.0310%29 Aug
inferno9–10.185%29 Aug
inferno4–9-0.1115%29 Aug
dust212–120.018%29 Aug
cache13–30.020%29 Aug
dust28–13-0.0415%29 Aug
dust210–13-0.0312%29 Aug
dust213–6-0.0223%29 Aug
mirage11–13-0.018%29 Aug
inferno13–50.089%24 Aug
cache9–130.0316%24 Aug
anubis0–13-0.040%24 Aug
dust29–130.0611%24 Aug
ancient13–90.0111%24 Aug
dust25–13-0.0411%24 Aug
anubis13–10-0.048%24 Aug
dust215–15-0.0713%22 Aug
ancient9–13-0.038%22 Aug
inferno13–1-0.0620%22 Aug
mirage11–13-0.0211%22 Aug
anubis13–8-0.057%22 Aug
dust214–16-0.0811%22 Aug
dust27–130.0618%22 Aug
nuke8–13-0.0315%15 Aug
inferno4–13-0.0215%15 Aug
mirage10–13-0.073%15 Aug
ancient16–140.019%15 Aug
cache12–120.0112%15 Aug
inferno7–13-0.0612%15 Aug
dust27–13-0.0115%15 Aug
dust213–7-0.005%15 Aug
cache13–5-0.0012%15 Aug
dust213–80.0020%15 Aug
nuke2–10-0.079%15 Aug
dust213–9-0.0512%15 Aug
dust25–13-0.0213%15 Aug
mirage13–11-0.0018%15 Aug
ancient16–14-0.0312%14 Aug
inferno15–15-0.028%14 Aug
ancient13–70.0210%14 Aug
mirage9–13-0.0712%10 Aug
ancient13–50.0115%10 Aug
cache8–13-0.0216%10 Aug
mirage8–20.0433%10 Aug
mirage13–90.0011%10 Aug
inferno11–13-0.0416%10 Aug
ancient13–8-0.0112%7 Aug
inferno13–10.0215%7 Aug
mirage11–13-0.0311%7 Aug
cache13–9-0.043%7 Aug
vertigo13–90.058%7 Aug
anubis12–12-0.016%7 Aug
ancient13–1-0.009%7 Aug
dust26–20.009%7 Aug
train5–13-0.0418%7 Aug
mirage13–70.018%31 Jul
dust27–10.050%31 Jul
mirage5–13-0.029%31 Jul
dust213–60.0318%31 Jul
dust27–13-0.0110%25 Jul
mirage12–12-0.058%25 Jul
cache9–13-0.0317%25 Jul
anubis2–13-0.0911%25 Jul
ancient2–13-0.058%25 Jul
mirage9–13-0.023%25 Jul
anubis13–50.018%25 Jul
inferno10–130.0013%25 Jul
dust213–9-0.0810%24 Jul
cache6–13-0.0716%24 Jul
inferno9–130.049%24 Jul
vertigo3–13-0.025%24 Jul
dust212–120.0418%24 Jul
anubis13–50.0213%20 Jul
vertigo12–12-0.0211%20 Jul
dust213–50.048%20 Jul
ancient13–5-0.024%20 Jul
inferno13–70.0913%19 Jul

Match data via Leetify.

Recent teammates

Milestones

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