Tosse — CS2 Stats

76561198138619907[U:1:178354179]

2,480Tracked matches57%Win rate2020Tracked since
CSDB Rating6.5 SolidAggressive Rifler
FaceitLevel 10 · 2,904 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTosseFACEITLevel 10 · 2,904 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning58
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateLWWWLWTLWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression9.6
Utility6.6
Positioning5.8
Opening Duels4.1
Clutch4.0

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

device

Plays most like device 95% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.9
Positioning5.8
Utility6.6
Mechanics4.9
Opening Duels4.1
Win Impact7.4

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time527ms−18ms
first ⅓ avg 545ms → last ⅓ avg 527ms
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

0.23Best rating — mirage 13–4
132Biggest win — inferno
7Longest win streak
611In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 89% over 9infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
ancientB22111150%0.02
mirageA2113862%0.02
infernoC135838%0.02
cacheS98189%0.05
anubisC83538%0.01
overpassC83538%-0.01
nukeC73443%0.05
dust2S75271%0.05
train32167%-0.01
vertigo1010%0.06
rooftop1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,394Matches
54%Win rate
1.22Avg K/D
86.3ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient19259%1.1116.0
Mirage17845%1.0816.4
Vertigo9558%1.1816.8
Inferno8656%1.1417.1
Anubis8257%1.2418.3
Nuke6040%1.1515.9
Overpass2744%1.0315.6
Dust21718%1.0114.8

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.

18.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
41.9%Spray accuracy
72.2%Counter-strafing
8.2°Preaim
525msReaction time
39.9%T opening success
53.1%CT opening success
0.64Enemies flashed / flash
13.1%Flash assists
10.19HE damage / grenade
8.49Flashes / 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 39.8727% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo7–130.0620%29 Aug
cache13–60.1218%29 Aug
cache16–130.0022%21 Aug
ancient13–80.1017%18 Aug
nuke9–13-0.0415%3 Aug
cache13–90.0221%1 Aug
ancient15–150.0520%1 Aug
ancient7–130.0312%24 Jul
cache13–70.0322%24 Jul
nuke13–80.0119%22 Jul
mirage13–100.0620%22 Jul
dust215–15-0.0124%22 Jul
cache13–100.0413%22 Jul
anubis9–130.0717%20 Jul
cache13–70.0640%2 Jul
mirage10–130.0110%26 Jun
inferno8–130.0219%26 Jun
mirage11–130.0216%25 Jun
ancient13–100.0517%25 Jun
anubis10–130.0814%24 Jun
ancient13–80.0812%23 Jun
inferno13–20.0713%23 Jun
mirage13–100.0118%23 Jun
ancient7–130.019%22 Jun
ancient13–11-0.0520%10 Jun
inferno6–13-0.0818%9 Jun
ancient13–90.0424%9 Jun
inferno9–13-0.0325%18 May
nuke9–130.0619%6 May
cache13–110.0511%29 Apr
cache9–13-0.0314%29 Apr
cache13–70.1918%29 Apr
mirage3–13-0.079%17 Apr
dust213–5-0.0611%17 Apr
mirage13–70.0416%3 Apr
inferno19–160.0210%29 Mar
mirage16–140.0216%29 Mar
overpass11–13-0.0415%22 Mar
ancient13–30.0220%22 Mar
anubis4–13-0.0518%22 Mar
inferno13–80.105%18 Mar
ancient11–13-0.0013%17 Mar
ancient13–80.0114%15 Mar
mirage16–13-0.0112%15 Mar
dust213–60.168%14 Mar
inferno8–130.0214%14 Mar
anubis13–10-0.0622%8 Mar
ancient11–13-0.0319%8 Mar
dust213–110.0414%24 Feb
dust213–20.0514%23 Feb
inferno13–50.0613%22 Feb
mirage13–70.048%22 Feb
overpass6–130.0117%15 Feb
anubis9–13-0.038%15 Feb
ancient13–90.0020%13 Feb
anubis13–40.0413%13 Feb
ancient13–16-0.0015%12 Feb
anubis11–130.0418%9 Feb
ancient13–90.089%8 Feb
mirage13–90.0116%8 Feb
ancient6–13-0.0315%1 Feb
anubis13–6-0.0116%1 Feb
mirage13–10-0.0213%1 Feb
mirage13–40.230%25 Jan
inferno13–50.010%25 Jan
overpass13–90.0315%19 Jan
overpass13–80.0214%16 Jan
train13–6-0.0424%16 Jan
ancient9–13-0.0515%14 Jan
mirage16–130.0518%6 Jan
inferno11–130.0324%2 Jan
mirage13–100.0518%26 Dec
rooftop5–9-0.0418%26 Dec
mirage10–130.0320%5 Dec
dust28–130.0313%5 Dec
ancient13–60.009%23 Nov
mirage3–13-0.0512%23 Nov
nuke11–130.0018%22 Nov
mirage13–90.0423%22 Nov
nuke10–120.0717%17 Nov
mirage3–13-0.0321%15 Nov
inferno14–160.0411%15 Nov
nuke13–60.168%8 Nov
ancient9–130.0316%3 Nov
overpass0–7-0.080%2 Nov
train11–130.0116%25 Oct
inferno8–13-0.0410%23 Oct
ancient8–13-0.0113%23 Oct
dust213–110.1314%19 Oct
overpass13–70.0312%18 Oct
train13–10-0.0016%18 Oct
mirage14–160.0713%18 Oct
ancient5–130.0714%5 Oct
overpass2–13-0.0620%4 Oct
ancient16–140.0022%4 Oct
mirage8–13-0.0610%3 Oct
inferno15–150.0316%23 Sept
mirage13–20.0824%23 Aug
nuke13–50.0921%23 Aug
overpass13–160.0112%1 Aug

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
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