frasse

frasse — CS2 Stats

76561198042162212[U:1:81896484]Steam profile ↗✓ No bans

2,112Tracked matches75%Win rate2020Tracked since
CSDB Rating7.5 StrongOpening Duellist
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,112 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,621 +2,102 29 Jun – 5 Jul · 10 days played
21,51927,044peak 27,04429 Jun5 Jul
27,044Peak Premier in tracked matches
72Days played since 2024-02-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGfrasseFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning76
Utility50

0–100 skill scores via Leetify.

Recent form

HOT57–38–5Last 10057%Win rateLWLWLWWWWW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −7.5pp headshot accuracy · −52ms 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 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 488ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 557ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.1
Utility5.0
Positioning7.6
Opening Duels8.0
Clutch3.6

Effective flashes

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

s1mple

Plays most like s1mple 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

Strengths & areas to improve

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 591ms 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

Aim8.1
Positioning7.6
Utility5.0
Mechanics7.0
Opening Duels7.0
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time565ms−17ms
first ⅓ avg 582ms → last ⅓ avg 565ms
Headshot accuracy25.7%+2.9%
first ⅓ avg 22.9% → last ⅓ avg 25.7%

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.

Personal bests

0.22Best match rating · 13–4 · mirage, 15 Apr →
53%Best headshot accuracy · 6–13 · train, 16 Nov →
375msFastest reaction time · 13–7 · inferno, 27 Jan →
13–0Biggest win · vertigo, 26 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 80% over 5anubisWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientS2217–577%0.04
mirageA2113–862%0.02
anubisD155–1033%0.01
dust2S139–469%0.05
trainC83–538%0.02
nukeC73–443%0.05
infernoS54–180%0.04
vertigoC52–340%0.01
overpass—31–233%0.08
thera—10–10%0.01

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

1,135Matches
54%Win rate
1.17Avg K/D
81.9ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis13651%1.0816.4
Ancient12644%1.0417.0
Dust210159%1.1616.9
Mirage9755%1.0417.0
Nuke3936%1.0515.4
Inferno2450%1.0215.9
Overpass1741%0.8913.2
Train1136%1.3215.9

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.

26.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.1%Spray accuracy
81.7%Counter-strafing
8.4°Preaim
591msReaction time
60.1%T opening success
56.1%CT opening success
0.73Enemies flashed / flash
6.0%Flash assists
8.33HE damage / grenade
15.36Flashes / match

Recommended for you

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
anubis7–130.0018%23 Mar →
ancient13–90.0631%23 Mar →
dust21–70.000%22 Mar →
dust213–30.1829%21 Mar →
mirage6–13-0.0431%19 Mar →
ancient13–30.0715%14 Mar →
ancient16–14-0.0220%12 Mar →
mirage13–60.0425%14 Feb →
anubis13–40.0619%22 Jan →
ancient13–80.1420%22 Jan →
mirage13–40.0219%18 Jan →
dust213–90.0142%10 Jan →
dust211–130.0228%21 Dec →
overpass15–15-0.0126%29 Nov →
dust213–110.0725%7 Jul →
train13–8-0.0225%5 Jul →
mirage13–110.0420%28 Jun →
ancient5–13-0.0340%28 Jun →
dust213–110.0132%30 May →
mirage16–140.0325%25 May →
anubis13–100.0119%28 Apr →
nuke8–130.0215%27 Apr →
nuke13–80.0339%21 Apr →
mirage13–60.0736%17 Apr →
ancient13–80.0230%15 Apr →
mirage13–40.2229%15 Apr →
mirage16–13-0.0122%22 Mar →
inferno13–20.0727%25 Feb →
train15–150.0632%25 Feb →
nuke8–130.0019%25 Feb →
inferno13–70.0117%27 Jan →
anubis11–130.0333%27 Jan →
ancient13–110.0139%24 Jan →
mirage10–130.0427%23 Jan →
ancient13–90.1028%19 Jan →
dust213–9-0.0021%18 Jan →
mirage13–11-0.0130%29 Dec →
nuke6–00.1828%27 Dec →
mirage8–130.0839%26 Dec →
ancient13–10-0.029%26 Dec →
mirage6–13-0.0522%23 Dec →
anubis14–160.0022%21 Dec →
dust210–130.0627%21 Dec →
ancient8–130.0026%19 Dec →
anubis19–15-0.0028%17 Dec →
ancient13–30.1025%4 Dec →
train11–130.0223%4 Dec →
train8–130.0320%4 Dec →
anubis7–130.0115%1 Dec →
train1–11-0.0322%1 Dec →
anubis13–6-0.0118%27 Nov →
vertigo14–16-0.0333%25 Nov →
mirage13–40.1124%24 Nov →
overpass10–130.0428%24 Nov →
train13–50.1633%17 Nov →
train6–13-0.0553%16 Nov →
train13–8-0.0220%16 Nov →
dust213–10-0.0137%10 Nov →
anubis16–120.1220%10 Nov →
ancient12–120.1028%4 Nov →
mirage13–60.1626%4 Nov →
dust213–110.1441%25 Oct →
overpass13–40.2130%16 Oct →
vertigo12–120.0928%10 Sept →
dust213–30.1437%9 Aug →
anubis17–190.0514%8 Aug →
ancient13–50.0021%17 Jul →
inferno14–160.0423%17 Jul →
anubis9–130.0316%15 Jul →
thera12–120.0117%2 Jul →
mirage13–8-0.0445%29 Jun →
anubis3–13-0.0917%23 Jun →
dust23–13-0.0515%7 Jun →
inferno13–80.0625%7 Jun →
dust213–100.0325%23 May →
mirage5–13-0.1121%25 Apr →
ancient13–110.0417%23 Apr →
nuke4–13-0.0721%20 Apr →
anubis4–130.0050%20 Apr →
mirage8–13-0.0318%11 Apr →
nuke11–130.0129%1 Apr →
ancient13–40.0417%1 Apr →
mirage2–13-0.0319%28 Mar →
ancient13–90.000%27 Mar →
mirage0–13-0.100%20 Mar →
mirage13–60.1122%19 Mar →
ancient13–100.0724%10 Mar →
anubis2–130.0132%10 Mar →
ancient13–50.0424%3 Mar →
anubis4–13-0.0230%3 Mar →
mirage13–70.0213%3 Mar →
ancient11–130.0326%3 Mar →
ancient11–13-0.0418%29 Feb →
vertigo2–13-0.0729%29 Feb →
vertigo11–60.0018%28 Feb →
ancient12–2-0.0027%28 Feb →
nuke11–80.1532%27 Feb →
ancient10–10.0826%27 Feb →
inferno13–70.0433%26 Feb →
vertigo13–00.0426%26 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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