exampl1012

exampl1012 — CS2 Stats

AE76561198157576121[U:1:197310393]Steam profile ↗✓ No bans

1,787Tracked matches47%Win rate2020Tracked since
CSDB Rating7.5 StrongPositional Player
Premier CS Rating23,095Top 25% of 215,558 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#43170 of 261651 tracked
FaceitLevel 10 · 2,830 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 6 Nov 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,787 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,095 +3,096 23 Aug – 6 Nov · 23 days played
19,99924,774peak 24,77423 Aug6 Nov
Faceit ELO: 2,830 +0 4 Sept – 6 Nov · 4 observations
2,8302,830peak 2,8304 Sept6 Nov
25,000Peak Premier in tracked matches
2,830Highest Faceit ELO seen on CSDB
31Days played since 2026-08-06

Faceit ELO

  • At peak — 2,830
  • Next: 3,000 ELO at 3,000 — 170 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-04
  • Level 10 first seen 2026-09-04

Premier CS Rating

  • 1,679 below peak (24,774)
  • Next: Red band at 25,000 — 1,905 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGexampl1012FACEITLevel 10 · 2,830 ELOSTANDINGTop 12.4% of rankedPREMIER23,095 · Pink bandPEAK ELO2,830csdb.gg/stats

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Performance scores

Aim95
Positioning73
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWLWWLLWWLL

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · +1.1pp headshot accuracy · +71ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 26%
  • Avg reaction 499ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 496ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 27%
  • Avg reaction 461ms

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 (+1.5 against its own average).

Aim9.5
Utility5.3
Positioning7.3
Opening Duels6.6
Clutch4.2

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

donk

Plays most like donk 95% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 95 — 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.

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

Aim9.5
Positioning7.3
Utility5.3
Mechanics7.4
Opening Duels7.2
Win Impact3.9

Composite 7.5/10 (Strong), 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 rating0.06+0.00
first ⅓ avg 0.06 → last ⅓ avg 0.06
Reaction time469ms+16ms
first ⅓ avg 453ms → last ⅓ avg 469ms
Headshot accuracy26.3%+4.5%
first ⅓ avg 21.9% → last ⅓ avg 26.3%

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

0.28Best match rating · 13–3 · inferno, 27 Aug →
56%Best headshot accuracy · 3–8 · mirage, 10 Sept →
320msFastest reaction time · 13–7 · mirage, 30 Aug →
13–0Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–3In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 80% over 5mirageWeakest map · 44% over 27
MapGradePlayedRecordWin rateAvg rating
mirageC2712–1544%0.06
dust2B189–950%0.05
ancientS1612–475%0.05
anubisB168–850%0.04
infernoB126–650%0.06
cacheA53–260%0.07
nukeS54–180%0.07
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

929Matches
55%Win rate
1.40Avg K/D
86.2ADR
54%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage23354%1.3918.3
Dust212354%1.3216.9
Ancient11546%1.3617.9
Anubis8251%1.3218.8
Inferno6161%1.4919.5
Nuke5155%1.4217.8
Train2162%1.3118.1
Overpass1963%1.3918.2

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.

26.8%Headshot accuracy
38.3%Accuracy (enemy spotted)
39.4%Spray accuracy
83.3%Counter-strafing
6.9°Preaim
470msReaction time
58.8%T opening success
58.8%CT opening success
0.52Enemies flashed / flash
13.7%Flash assists
7.39HE damage / grenade
4.87Flashes / match

Recommended for you

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.

44% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0826%26 Sept →
mirage7–130.0819%26 Sept →
cache13–10.1026%26 Sept →
nuke13–50.0731%24 Sept →
ancient1–13-0.0328%24 Sept →
dust20–13-0.0517%23 Sept →
mirage13–30.1025%23 Sept →
ancient13–2-0.0231%23 Sept →
inferno13–160.0918%23 Sept →
ancient5–130.0754%19 Sept →
inferno13–30.1831%19 Sept →
mirage13–40.2029%18 Sept →
mirage13–160.1124%18 Sept →
anubis7–130.1123%18 Sept →
anubis13–110.0430%18 Sept →
mirage7–130.0633%18 Sept →
ancient13–80.1027%18 Sept →
anubis1–13-0.0317%18 Sept →
inferno9–130.0430%18 Sept →
dust26–130.0619%18 Sept →
anubis13–60.0926%18 Sept →
mirage8–130.0326%18 Sept →
cache11–13-0.0123%18 Sept →
inferno8–130.0127%18 Sept →
nuke13–110.1125%18 Sept →
nuke13–90.0441%17 Sept →
inferno4–13-0.0222%17 Sept →
mirage13–20.2028%17 Sept →
ancient12–20.1234%17 Sept →
anubis5–130.0118%17 Sept →
ancient13–60.1431%17 Sept →
dust29–130.0121%17 Sept →
anubis8–13-0.0511%17 Sept →
anubis14–160.0723%16 Sept →
mirage12–160.0519%16 Sept →
inferno0–130.0225%16 Sept →
dust213–100.0817%16 Sept →
ancient13–50.0421%16 Sept →
inferno13–6-0.0029%16 Sept →
anubis13–1-0.0027%16 Sept →
mirage13–20.0917%16 Sept →
mirage13–90.0630%16 Sept →
mirage9–13-0.0023%15 Sept →
anubis13–80.0518%15 Sept →
anubis12–160.0417%13 Sept →
dust21–13-0.0242%13 Sept →
dust213–00.0212%13 Sept →
mirage6–20.1024%13 Sept →
dust213–100.1433%12 Sept →
dust213–50.1237%12 Sept →
mirage16–130.0528%12 Sept →
mirage3–13-0.0228%11 Sept →
dust29–130.0527%11 Sept →
mirage3–8-0.0256%10 Sept →
vertigo8–13-0.0530%9 Sept →
mirage7–130.0230%7 Sept →
anubis13–80.0313%7 Sept →
mirage10–130.0830%7 Sept →
cache10–130.0827%7 Sept →
inferno13–50.0620%6 Sept →
ancient8–130.0421%6 Sept →
anubis9–13-0.0022%5 Sept →
anubis16–130.0025%5 Sept →
nuke4–130.0934%4 Sept →
dust210–130.0118%4 Sept →
ancient16–130.0331%31 Aug →
dust29–00.0638%31 Aug →
mirage8–130.0222%31 Aug →
dust213–30.1226%31 Aug →
mirage13–80.1328%31 Aug →
ancient12–50.1114%31 Aug →
dust211–130.0139%30 Aug →
mirage12–160.0926%30 Aug →
mirage13–7-0.098%30 Aug →
anubis9–13-0.0512%30 Aug →
inferno16–140.0720%29 Aug →
dust25–130.0137%29 Aug →
dust210–130.0428%29 Aug →
cache13–70.1228%29 Aug →
mirage13–60.1118%29 Aug →
cache13–100.0511%29 Aug →
inferno7–13-0.0231%28 Aug →
mirage6–00.0218%28 Aug →
inferno13–30.2831%27 Aug →
dust213–60.0519%27 Aug →
anubis13–40.1724%26 Aug →
ancient13–110.0624%23 Aug →
ancient13–60.0726%23 Aug →
ancient6–130.0119%22 Aug →
ancient13–90.0012%19 Aug →
dust28–20.1612%19 Aug →
anubis13–20.2020%19 Aug →
ancient13–70.1015%19 Aug →
mirage10–13-0.0125%18 Aug →
nuke13–110.0525%18 Aug →
mirage9–130.0423%9 Aug →
inferno13–20.0123%9 Aug →
ancient13–7-0.0221%8 Aug →
mirage12–160.0522%7 Aug →
mirage16–130.0414%6 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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