Toximp

Toximp — CS2 Stats

PH76561198261812236[U:1:301546508]Steam profile ↗✓ No bans

748Tracked matches43%Win rate2022Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
Premier CS Rating15,424Purple band · top ~26.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (10 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.

Rating over time

Premier CS Rating: 15,424 -674 24 May – 6 Oct · 30 days played
14,06316,623peak 16,62324 May6 Oct
16,736Peak Premier in tracked matches
57Days played since 2026-05-20

Premier CS Rating

  • 1,199 below peak (16,623)
  • -752 over 30 days · declining
  • +800 over 90 days
  • Next: Pink band at 20,000 — 4,576 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.

Share this profile

CSDB.GGToximpFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,424 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning58
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLLLWWWLWLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −4.6pp headshot accuracy · −9ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 684ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 627ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim6.4
Utility4.6
Positioning5.8
Opening Duels3.6
Clutch6.0

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

donk

Plays most like donk 88% 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 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim6.4
Positioning5.8
Utility4.6
Mechanics5.7
Opening Duels3.8
Win Impact2.8

Composite 5.3/10 (Developing), 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 0.01 → last ⅓ avg -0.01
Reaction time630ms−85ms
first ⅓ avg 715ms → last ⅓ avg 630ms
Headshot accuracy19.6%−2.6%
first ⅓ avg 22.2% → last ⅓ avg 19.6%

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

0.15Best match rating · 16–14 · nuke, 21 Sept →
45%Best headshot accuracy · 2–13 · inferno, 21 Jul →
484msFastest reaction time · 16–14 · nuke, 21 Sept →
13–1Biggest win · mirage, 9 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 60% over 5anubisWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB2111–1052%0.00
mirageB178–947%-0.00
cacheB168–850%-0.01
anubisD155–1033%-0.02
dust2C94–544%0.01
ancientC83–538%-0.02
infernoA53–260%-0.03
overpass—41–325%0.01
train—33–0100%0.02
vertigo—21–150%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches
48%Win rate
0.87Avg K/D
69.4ADR
52%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1233%0.9215.2
Dust21127%0.7712.2
Mirage1050%0.8212.6
Nuke850%0.9313.0
Ancient667%0.7212.3
Cache560%0.7211.6
Inferno425%0.7011.5
Vertigo3100%1.5116.7

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.

18.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
38.8%Spray accuracy
75.7%Counter-strafing
11.3°Preaim
617msReaction time
35.7%T opening success
55.0%CT opening success
0.52Enemies flashed / flash
3.0%Flash assists
10.06HE damage / grenade
7.09Flashes / 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 35.654% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.019%6 Oct →
cache13–160.0715%3 Oct →
ancient11–13-0.058%3 Oct →
mirage13–40.0225%1 Oct →
nuke13–11-0.0024%28 Sept →
nuke16–140.1518%21 Sept →
anubis6–13-0.0415%19 Sept →
nuke13–70.099%16 Sept →
nuke7–13-0.025%13 Sept →
nuke6–13-0.048%9 Sept →
cache4–13-0.058%9 Sept →
anubis13–100.0420%7 Sept →
nuke8–13-0.0015%6 Sept →
nuke8–13-0.0521%4 Sept →
anubis6–13-0.0421%31 Aug →
cache16–130.0125%31 Aug →
mirage4–13-0.0419%30 Aug →
ancient13–6-0.0518%28 Aug →
anubis11–13-0.0221%28 Aug →
anubis13–11-0.0513%17 Aug →
ancient13–8-0.0121%9 Aug →
dust213–10-0.0624%9 Aug →
mirage13–1-0.0128%9 Aug →
mirage2–13-0.0333%6 Aug →
cache11–13-0.056%27 Jul →
nuke16–14-0.0213%26 Jul →
nuke13–60.0123%26 Jul →
inferno2–13-0.0845%21 Jul →
anubis9–13-0.0229%19 Jul →
dust29–13-0.0231%19 Jul →
dust23–13-0.0635%18 Jul →
mirage13–10.0926%18 Jul →
ancient13–50.0318%18 Jul →
nuke6–13-0.1024%18 Jul →
anubis5–13-0.0136%16 Jul →
nuke1–13-0.060%16 Jul →
mirage4–13-0.0717%14 Jul →
cache1–13-0.0725%14 Jul →
cache13–9-0.0611%14 Jul →
nuke13–5-0.0326%14 Jul →
anubis13–5-0.0340%14 Jul →
anubis11–130.0017%13 Jul →
dust213–110.0920%10 Jul →
cache16–13-0.0814%9 Jul →
anubis9–13-0.085%9 Jul →
cache9–13-0.0319%9 Jul →
inferno13–6-0.063%9 Jul →
cache13–30.0433%9 Jul →
mirage13–8-0.0221%8 Jul →
mirage2–13-0.0140%4 Jul →
nuke13–40.0320%4 Jul →
inferno13–10-0.0117%4 Jul →
ancient12–120.0313%2 Jul →
cache13–70.0925%30 Jun →
mirage13–90.0229%30 Jun →
ancient12–12-0.0524%30 Jun →
anubis13–8-0.0128%29 Jun →
anubis2–9-0.026%28 Jun →
overpass14–160.0323%28 Jun →
dust20–2-0.100%27 Jun →
nuke9–13-0.0713%27 Jun →
nuke13–40.067%27 Jun →
mirage3–13-0.0524%26 Jun →
nuke12–120.0420%25 Jun →
dust29–130.0618%25 Jun →
dust213–20.0912%25 Jun →
mirage13–70.0218%25 Jun →
mirage10–13-0.0219%24 Jun →
dust29–130.0521%24 Jun →
mirage13–40.0310%23 Jun →
cache10–13-0.0631%21 Jun →
mirage15–15-0.0321%21 Jun →
overpass13–160.0118%21 Jun →
inferno15–150.0415%20 Jun →
train13–60.0325%19 Jun →
train13–8-0.0011%18 Jun →
nuke12–120.0419%18 Jun →
vertigo12–12-0.0518%18 Jun →
overpass11–130.0518%13 Jun →
cache10–13-0.0130%12 Jun →
anubis9–13-0.0310%11 Jun →
dust213–70.0730%11 Jun →
mirage4–13-0.0228%11 Jun →
train13–80.0515%11 Jun →
mirage4–10.0813%11 Jun →
nuke11–130.0227%11 Jun →
nuke13–7-0.0529%10 Jun →
anubis13–90.0716%10 Jun →
ancient6–13-0.0217%7 Jun →
anubis8–13-0.0812%6 Jun →
nuke13–80.0514%5 Jun →
cache13–9-0.0139%4 Jun →
ancient7–130.0034%3 Jun →
vertigo13–50.0222%31 May →
cache13–70.0232%31 May →
overpass16–13-0.0317%30 May →
inferno13–11-0.0723%24 May →
cache5–13-0.0032%24 May →
nuke13–80.0541%21 May →
cache13–60.0128%20 May →

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 →

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