Tocc0

Tocc0 — CS2 Stats

DK76561198128261612[U:1:167995884]Steam profile ↗✓ No bans

564Tracked matches57%Win rate2020Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating15,811Purple band · top ~25.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (4 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: 15,811 -1,269 28 May – 25 Oct · 19 days played
12,90617,650peak 17,65028 May25 Oct
17,946Peak Premier in tracked matches
38Days played since 2026-05-28

Premier CS Rating

  • 1,839 below peak (17,650)
  • +791 over 30 days · improving
  • Next: Pink band at 20,000 — 4,189 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.GGTocc0FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,811 · Purple bandcsdb.gg/stats

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Performance scores

Aim43
Positioning54
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateWLLLWLWLWL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +2.1pp headshot accuracy · −19ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 628ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 589ms

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 (+2.7 against its own average).

Aim4.3
Utility4.7
Positioning5.4
Opening Duels0.2
Clutch0.6

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

iM

Plays most like iM 65% 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

CT openings. Opening success drops from 47% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 579ms 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

Aim4.3
Positioning5.4
Utility4.7
Mechanics4.5
Opening Duels2.1
Win Impact7.2

Composite 4.7/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time581ms−28ms
first ⅓ avg 609ms → last ⅓ avg 581ms
Headshot accuracy12.8%+1.0%
first ⅓ avg 11.8% → last ⅓ avg 12.8%

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

0.09Best match rating · 13–7 · office, 22 Aug →
30%Best headshot accuracy · 4–13 · dust2, 10 Sept →
375msFastest reaction time · 13–2 · office, 22 Aug →
13–1Biggest win · nuke, 13 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 65% over 17dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC239–1439%-0.01
ancientA1810–856%-0.02
nukeS1711–665%-0.02
dust2D122–1017%-0.03
mirageB105–550%-0.00
anubisC83–538%-0.04
officeB63–350%0.03
cache—40–40%-0.08
vertigo—11–0100%-0.00
overpass—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

100Matches
43%Win rate
0.82Avg K/D
63.4ADR
35%Headshot %

Clutches & streaks

23%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke743%0.8212.4
Inferno633%0.7312.7
Ancient367%1.0710.3
Vertigo250%0.7412.0
Anubis2100%0.9513.0
Cache10%0.335.0

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.

12.9%Headshot accuracy
31.2%Accuracy (enemy spotted)
30.1%Spray accuracy
70.1%Counter-strafing
10.4°Preaim
579msReaction time
47.0%T opening success
28.9%CT opening success
0.43Enemies flashed / flash
4.7%Flash assists
10.10HE damage / grenade
4.80Flashes / 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. 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 12.8732% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4258 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 28.8522% — 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.

17% win rate across 12 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
nuke13–11-0.0311%25 Oct →
inferno14–16-0.0319%23 Oct →
inferno2–13-0.0012%9 Oct →
cache9–13-0.1024%4 Oct →
nuke13–8-0.0213%3 Oct →
nuke9–130.0318%3 Oct →
ancient13–7-0.0210%3 Oct →
mirage8–13-0.0412%3 Oct →
nuke13–90.049%3 Oct →
mirage10–13-0.0213%3 Oct →
mirage13–20.0611%3 Oct →
inferno13–100.019%2 Oct →
dust26–130.0117%2 Oct →
cache10–13-0.095%25 Sept →
inferno13–8-0.0218%25 Sept →
ancient13–50.0110%22 Sept →
dust213–70.0114%22 Sept →
inferno13–6-0.017%22 Sept →
nuke13–5-0.0212%22 Sept →
mirage13–100.0216%22 Sept →
ancient13–8-0.0611%22 Sept →
ancient13–11-0.0115%22 Sept →
inferno5–13-0.066%21 Sept →
ancient13–70.079%21 Sept →
inferno9–13-0.006%21 Sept →
anubis6–13-0.0914%20 Sept →
ancient7–13-0.0813%20 Sept →
nuke16–13-0.0619%20 Sept →
nuke13–9-0.0210%18 Sept →
nuke9–130.0317%18 Sept →
dust27–13-0.0517%17 Sept →
ancient2–13-0.086%17 Sept →
cache3–13-0.0621%17 Sept →
anubis7–13-0.0516%14 Sept →
inferno14–160.0519%14 Sept →
ancient10–13-0.0314%13 Sept →
inferno13–30.029%13 Sept →
nuke13–10.0422%13 Sept →
ancient13–40.0412%13 Sept →
inferno13–60.0113%13 Sept →
inferno12–120.0010%13 Sept →
inferno7–130.0220%12 Sept →
inferno5–13-0.0115%12 Sept →
ancient0–13-0.0710%12 Sept →
inferno7–13-0.0413%12 Sept →
nuke13–7-0.0822%12 Sept →
ancient9–13-0.0724%11 Sept →
ancient13–110.0417%11 Sept →
ancient2–130.0229%10 Sept →
nuke2–13-0.1112%10 Sept →
nuke7–13-0.0118%10 Sept →
dust24–13-0.0430%10 Sept →
office5–130.006%7 Sept →
office9–130.0112%7 Sept →
office4–13-0.015%5 Sept →
office13–60.0018%5 Sept →
vertigo13–9-0.0015%30 Aug →
mirage13–70.0916%22 Aug →
office13–70.0910%22 Aug →
office13–20.087%22 Aug →
mirage10–13-0.0211%14 Aug →
dust21–13-0.069%14 Aug →
dust29–13-0.0413%7 Aug →
nuke9–13-0.038%31 Jul →
inferno12–120.0412%31 Jul →
mirage9–13-0.085%31 Jul →
nuke13–110.0113%31 Jul →
anubis16–14-0.0219%25 Jul →
inferno13–30.0310%25 Jul →
anubis11–13-0.068%25 Jul →
inferno8–130.0214%24 Jul →
nuke5–13-0.0611%24 Jul →
anubis7–13-0.0317%24 Jul →
ancient13–9-0.0212%24 Jul →
nuke13–8-0.0014%24 Jul →
inferno5–13-0.0710%19 Jul →
cache0–13-0.0617%17 Jul →
ancient13–20.054%17 Jul →
inferno13–10-0.0312%17 Jul →
ancient6–13-0.0611%13 Jul →
anubis13–6-0.0112%13 Jul →
anubis6–13-0.0113%13 Jul →
mirage13–7-0.0110%5 Jul →
dust211–13-0.0611%4 Jul →
anubis13–9-0.0214%27 Jun →
ancient13–9-0.056%27 Jun →
inferno3–13-0.0210%20 Jun →
inferno11–13-0.0212%20 Jun →
overpass8–13-0.068%20 Jun →
mirage13–7-0.014%20 Jun →
dust28–13-0.0214%19 Jun →
dust26–130.0210%19 Jun →
nuke13–70.0313%19 Jun →
dust213–10-0.029%5 Jun →
mirage5–130.0212%5 Jun →
dust215–150.0117%4 Jun →
inferno8–13-0.068%4 Jun →
ancient7–130.0012%29 May →
inferno16–14-0.0417%29 May →
dust23–13-0.0920%28 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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