23

23 — CS2 Stats

76561199218874679[U:1:1258608951]Steam profile ↗✓ No bans

5,367Tracked matches48%Win rate2021Tracked since
CSDB Rating6.5 SolidPositional Player
FaceitLevel 10 · 3,879 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,879 → 3,879
+9Tracked matches · now 5,367
+5.3ppWin rate · 42.9% → 48.1%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 30 May 2026. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 3,879 +0 29 Aug15 Sept · 5 observations
3,8793,879peak 3,87929 Aug15 Sept
3,879Highest Faceit ELO seen on CSDB
35Days played since 2026-05-30

Faceit ELO

  • At peak — 3,879
  • Next: 4,000 ELO at 4,000 121 to go
  • Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
  • 3,500 ELO first seen 2026-08-29
  • 3,000 ELO first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG23FACEITLevel 10 · 3,879 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,879csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning61
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateWTWWWLLWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −7.1pp headshot accuracy · +85ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 401 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 26%
  • Avg reaction 506ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

Last 20

  • 893 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim8.6
Utility3.0
Positioning6.1
Opening Duels4.7
Clutch3.4

Sharp aimerLimited 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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning6.1
Utility3.0
Mechanics7.2
Opening Duels4.2
Win Impact4.4

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.07
first ⅓ avg 0.08 → last ⅓ avg 0.01
Reaction time526ms−57ms
first ⅓ avg 583ms → last ⅓ avg 526ms
Headshot accuracy19.4%−10.3%
first ⅓ avg 29.7% → last ⅓ avg 19.4%

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

0.27Best match rating · 13–2 · anubis, 2 Jun
53%Best headshot accuracy · 13–4 · anubis, 5 Jun
344msFastest reaction time · 13–5 · dust2, 8 Sept
13–1Biggest win · inferno, 1 Jul

Across the last 100 tracked matches.

Highlights

10Longest win streak
62In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 91% over 11mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B1910953%0.05
ancientB147750%0.02
cacheB137654%0.07
anubisS1110191%0.05
infernoC73443%0.05
trainA74357%0.04
overpassC73443%0.03
nukeS75271%0.04
mirageD62433%0.02
italy3030%0.03
vertigo2020%0.08
fachwerk110100%-0.07
boulder1010%0.04
warden1010%-0.04
alpine110100%-0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

4,912Matches
54%Win rate
1.27Avg K/D
88.7ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
15Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient71053%1.2717.9
Anubis67259%1.3518.8
Dust255052%1.3018.6
Vertigo18560%1.3718.5
Overpass15063%1.3519.1
Nuke13351%1.1918.1
Inferno10249%1.2318.0
Mirage7347%1.1416.6

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.

20.0%Headshot accuracy
37.3%Accuracy (enemy spotted)
42.2%Spray accuracy
82.6%Counter-strafing
8.9°Preaim
516msReaction time
37.6%T opening success
55.7%CT opening success
0.42Enemies flashed / flash
6.5%Flash assists
4.51HE damage / grenade
4.21Flashes / 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. 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 0.4174 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 37.5561% — below the 40% mark we flag

Spend your practice time on Mirage

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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–80.1329%24 Sept
inferno12–120.0913%24 Sept
train13–110.1033%22 Sept
dust213–70.0536%13 Sept
ancient13–60.0521%13 Sept
inferno4–13-0.073%13 Sept
train7–13-0.118%13 Sept
fachwerk13–3-0.079%13 Sept
overpass6–13-0.080%13 Sept
italy7–13-0.035%13 Sept
dust21–13-0.089%13 Sept
cache0–13-0.0920%13 Sept
dust27–13-0.0015%12 Sept
cache10–130.0922%8 Sept
dust213–50.0932%8 Sept
vertigo12–120.0632%8 Sept
ancient12–120.0520%8 Sept
nuke13–80.0743%8 Sept
dust213–6-0.0115%28 Aug
anubis8–13-0.0118%27 Aug
nuke13–9-0.0334%21 Aug
dust28–13-0.0116%17 Aug
nuke10–13-0.037%13 Aug
ancient13–70.0425%12 Aug
inferno6–13-0.0011%12 Aug
anubis13–9-0.0532%8 Aug
mirage5–13-0.0518%7 Aug
cache11–130.0024%5 Aug
inferno13–50.0317%2 Aug
cache13–100.0718%31 Jul
cache13–50.0615%25 Jul
ancient9–13-0.0426%21 Jul
ancient11–13-0.0213%17 Jul
ancient7–130.0120%17 Jul
dust210–13-0.0227%17 Jul
anubis13–100.0318%13 Jul
ancient13–100.0137%13 Jul
ancient13–80.0222%13 Jul
anubis13–11-0.0414%11 Jul
dust29–130.0513%11 Jul
boulder10–130.0424%9 Jul
dust210–130.1524%9 Jul
ancient13–110.0223%4 Jul
mirage6–13-0.0314%1 Jul
anubis13–3-0.050%1 Jul
ancient12–120.0032%1 Jul
nuke13–30.1332%1 Jul
overpass13–60.0831%1 Jul
inferno13–10.0616%1 Jul
cache13–80.1229%1 Jul
dust213–80.0836%1 Jul
vertigo10–130.1038%1 Jul
mirage9–130.0433%28 Jun
dust213–110.0213%28 Jun
nuke6–13-0.0911%25 Jun
cache13–40.1150%23 Jun
dust213–70.0342%23 Jun
mirage13–4-0.0819%23 Jun
anubis13–100.0536%17 Jun
train13–70.0231%17 Jun
dust213–50.0133%17 Jun
nuke13–50.1029%17 Jun
ancient13–70.1039%16 Jun
anubis13–50.0922%16 Jun
overpass13–80.0318%12 Jun
overpass4–13-0.0727%12 Jun
train7–130.0932%9 Jun
cache6–130.0324%9 Jun
dust213–80.2336%9 Jun
anubis13–80.0319%9 Jun
cache13–70.0736%5 Jun
dust210–130.0529%5 Jun
train9–13-0.0012%5 Jun
overpass8–130.0520%5 Jun
anubis13–40.1653%5 Jun
cache13–70.1624%5 Jun
italy2–130.0341%5 Jun
ancient1–13-0.0142%4 Jun
dust27–13-0.0123%4 Jun
dust26–13-0.0137%2 Jun
train13–50.0833%2 Jun
warden5–13-0.0422%2 Jun
overpass9–130.1038%2 Jun
nuke13–110.1121%2 Jun
train13–70.1234%2 Jun
cache0–70.0125%2 Jun
inferno9–130.1234%2 Jun
mirage2–130.0939%2 Jun
anubis13–20.2729%2 Jun
ancient13–20.1042%2 Jun
dust213–70.1225%2 Jun
inferno13–50.0838%30 May
mirage13–80.1333%30 May
anubis13–100.0715%30 May
overpass13–30.0925%30 May
cache7–130.1229%30 May
dust213–40.1437%30 May
ancient4–13-0.0216%30 May
alpine13–11-0.0017%30 May
italy8–130.0830%30 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →