TacticalToilet

TacticalToilet — CS2 Stats

ZA76561199023756450[U:1:1063490722]Steam profile ↗✓ No bans

276Tracked matches41%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating14,641Blue band · top ~30.3% of ranked players (population est.)
CSDB Leaderboard#12287 of 18722 tracked
Ladder ranks via Leetify

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CSDB.GGTacticalToiletPREMIER14,641 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning38
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY46531Last 10046%Win rateWWWLLLWWLL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim4.6
Aggression3.2
Utility6.1
Positioning3.8
Opening Duels0.0

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 598ms 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

Aim4.6
Positioning3.8
Utility6.1
Mechanics5.0
Opening Duels0.5
Win Impact2.1

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time599ms−45ms
first ⅓ avg 644ms → last ⅓ avg 599ms
Headshot accuracy17.7%+1.9%
first ⅓ avg 15.8% → last ⅓ avg 17.7%

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

0.18Best rating — inferno 13–5
131Biggest win — inferno
4Longest win streak
W3Current streak
98In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 60% over 5anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC29121741%-0.00
infernoA27161159%0.04
dust2C1661038%-0.02
ancientC104640%0.01
anubisD72529%-0.00
nukeA53260%-0.01
cache32167%0.03
overpass31233%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

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
27.6%Accuracy (enemy spotted)
30.7%Spray accuracy
72.6%Counter-strafing
10.2°Preaim
598msReaction time
22.2%T opening success
33.7%CT opening success
0.70Enemies flashed / flash
5.9%Flash assists
10.64HE damage / grenade
12.75Flashes / 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 22.2411% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–5-0.0013%25 Aug
inferno13–11-0.0119%25 Aug
inferno13–110.0324%20 Aug
mirage13–160.1312%20 Aug
mirage5–13-0.0413%20 Aug
dust28–13-0.0330%20 Aug
inferno13–80.0924%20 Aug
dust213–9-0.0615%19 Aug
cache3–13-0.0912%18 Aug
mirage3–13-0.0417%18 Aug
dust26–130.0122%17 Aug
mirage15–15-0.0417%17 Aug
ancient12–160.0320%14 Aug
dust24–13-0.0417%14 Aug
nuke10–13-0.0120%14 Aug
inferno16–140.0813%11 Aug
mirage16–12-0.0024%11 Aug
mirage10–130.000%7 Aug
anubis6–130.0321%4 Aug
anubis7–130.0011%4 Aug
inferno6–130.0426%31 Jul
dust25–13-0.0517%31 Jul
mirage2–13-0.0640%31 Jul
cache13–70.1015%27 Jul
inferno13–70.0616%22 Jul
mirage4–130.0127%22 Jul
mirage13–80.0510%20 Jul
dust213–30.0318%16 Jul
inferno13–80.0413%16 Jul
dust26–13-0.1320%6 Jul
cache13–30.0714%6 Jul
ancient6–13-0.0811%29 Jun
mirage13–6-0.0316%24 Jun
mirage13–16-0.0316%24 Jun
nuke13–70.0011%23 Jun
dust213–80.0433%18 Jun
mirage13–9-0.0120%18 Jun
inferno4–130.0318%18 Jun
inferno13–50.1821%16 Jun
ancient7–130.0417%16 Jun
nuke6–13-0.0313%11 Jun
dust24–13-0.0327%11 Jun
overpass9–130.0018%11 Jun
mirage13–90.0421%6 Jun
mirage13–80.0519%6 Jun
anubis10–130.0217%3 Jun
mirage13–160.0119%3 Jun
inferno4–130.0342%3 Jun
inferno11–130.0219%1 Jun
mirage13–16-0.0320%28 May
ancient16–140.0212%28 May
dust211–13-0.0121%25 May
dust214–160.000%25 May
mirage8–13-0.0114%25 May
ancient11–130.0213%20 May
inferno3–13-0.0428%20 May
mirage13–100.0219%19 May
nuke13–11-0.0216%19 May
inferno13–11-0.0021%19 May
anubis9–13-0.0911%18 May
mirage5–13-0.0316%18 May
dust213–6-0.0423%14 May
mirage10–13-0.0717%26 Apr
mirage11–13-0.0113%19 Mar
anubis6–130.0325%19 Mar
inferno12–16-0.0818%18 Mar
ancient13–50.0410%11 Mar
inferno13–110.0514%11 Mar
mirage13–11-0.017%11 Mar
nuke13–4-0.0218%11 Mar
inferno3–130.0018%11 Mar
mirage11–13-0.0211%9 Mar
mirage13–8-0.005%9 Mar
dust213–4-0.0427%6 Mar
mirage13–30.0311%6 Mar
ancient6–13-0.0111%6 Mar
ancient4–13-0.0016%6 Mar
inferno13–40.0817%28 Feb
overpass3–13-0.0817%28 Feb
inferno13–10.0410%23 Feb
inferno13–90.0414%23 Feb
mirage13–90.0128%15 Feb
inferno13–110.1015%12 Feb
inferno7–130.0419%12 Feb
ancient13–50.0712%12 Feb
inferno13–20.0811%11 Feb
dust213–10-0.0110%10 Feb
inferno11–130.0713%10 Feb
mirage4–13-0.0411%9 Feb
mirage13–70.0921%9 Feb
inferno13–20.1110%9 Feb
dust26–13-0.0413%9 Feb
overpass11–3-0.0132%9 Feb
inferno13–90.0012%9 Feb
anubis16–12-0.0116%27 Jan
mirage14–16-0.0414%26 Jan
inferno8–13-0.043%24 Jan
dust29–130.0126%24 Jan
inferno5–13-0.0335%24 Jan
ancient13–6-0.0026%23 Jan

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 →