ᵀee

ᵀee — CS2 Stats

76561198043222663[U:1:82956935]Steam profile ↗✓ No bans

1,866Tracked matches45%Win rate2021Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating15,766Purple band · top ~25.4% of ranked players (population est.)
FaceitLevel 9 · 1,882 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,766 -749 9 Aug – 24 Oct · 32 days played
13,20117,022peak 17,0229 Aug24 Oct
Faceit ELO: 1,882 +0 16 Sept – 18 Sept · 2 observations
1,8821,882peak 1,88216 Sept18 Sept
17,191Peak Premier in tracked matches
1,882Highest Faceit ELO seen on CSDB
31Days played since 2026-08-09

Faceit ELO

  • At peak — 1,882
  • Next: Level 10 at 2,001 — 119 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-16
  • Level 8 first seen 2026-09-16

Premier CS Rating

  • 1,256 below peak (17,022)
  • -1,017 over 30 days · declining
  • -749 over 90 days
  • Next: Pink band at 20,000 — 4,234 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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.GGᵀeeFACEITLevel 9 · 1,882 ELOSTANDINGTop 20.7% of rankedPREMIER15,766 · Purple bandPEAK ELO1,882csdb.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

Aim69
Positioning64
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWLLWLWTWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −7.3pp headshot accuracy · +13ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 608ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 541ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 534ms

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 (+1.4 against its own average).

Aim6.9
Utility4.9
Positioning6.4
Opening Duels5.0
Clutch3.8

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.9
Positioning6.4
Utility4.9
Mechanics4.1
Opening Duels5.7
Win Impact3.3

Composite 5.6/10 (Solid), 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 rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time556ms−10ms
first ⅓ avg 566ms → last ⅓ avg 556ms
Headshot accuracy24.7%+2.7%
first ⅓ avg 22.0% → last ⅓ avg 24.7%

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

0.14Best match rating · 13–7 · nuke, 18 Aug →
40%Best headshot accuracy · 8–13 · mirage, 15 Oct →
406msFastest reaction time · 8–13 · inferno, 4 Oct →
13–1Biggest win · ancient, 14 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
2–13In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 65% over 17infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoD196–1332%-0.00
mirageC197–1237%0.00
nukeC187–1139%0.01
ancientS1711–665%0.01
dust2B136–746%0.02
cacheC94–544%-0.03
anubisA53–260%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

324Matches
55%Win rate
0.93Avg K/D
72.1ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5161%1.1316.2
Nuke3675%0.9414.9
Inferno2669%1.0215.2
Anubis1450%0.7411.9
Ancient1155%1.0114.4
Dust21020%0.7211.0
Train560%0.569.4
Vertigo560%0.9115.2

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.

24.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.6%Spray accuracy
68.6%Counter-strafing
11.5°Preaim
563msReaction time
53.5%T opening success
52.0%CT opening success
0.50Enemies flashed / flash
5.9%Flash assists
7.74HE damage / grenade
7.05Flashes / 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 0.4962 — below the 0.5 mark we flag

    Grenade Lineups →
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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0416%24 Oct →
nuke6–13-0.0711%22 Oct →
nuke3–13-0.0332%22 Oct →
ancient13–80.0524%16 Oct →
inferno5–13-0.0523%16 Oct →
nuke13–30.0638%16 Oct →
nuke15–150.0323%16 Oct →
cache13–9-0.0321%16 Oct →
mirage13–80.0720%16 Oct →
cache4–13-0.0520%16 Oct →
dust211–13-0.0132%16 Oct →
inferno16–120.0221%16 Oct →
mirage11–130.0317%16 Oct →
anubis13–8-0.0528%15 Oct →
mirage8–130.0340%15 Oct →
inferno7–130.0537%15 Oct →
inferno8–13-0.0735%15 Oct →
mirage13–30.0031%15 Oct →
dust213–80.1024%15 Oct →
dust24–11-0.0435%15 Oct →
ancient13–60.0623%15 Oct →
cache11–13-0.0714%14 Oct →
dust213–10-0.0624%14 Oct →
ancient6–13-0.0228%14 Oct →
inferno4–13-0.0719%14 Oct →
nuke16–130.0027%14 Oct →
inferno11–130.0319%13 Oct →
mirage13–100.0221%13 Oct →
dust211–130.0928%8 Oct →
nuke14–160.0318%8 Oct →
inferno15–15-0.0226%6 Oct →
inferno8–13-0.0418%4 Oct →
mirage13–100.0223%3 Oct →
nuke11–13-0.0423%20 Sept →
dust213–9-0.0438%20 Sept →
inferno13–40.0222%20 Sept →
cache9–13-0.0933%19 Sept →
cache10–13-0.0628%19 Sept →
anubis13–4-0.0024%19 Sept →
inferno2–13-0.0522%19 Sept →
nuke10–13-0.0418%19 Sept →
nuke10–13-0.0316%19 Sept →
cache13–8-0.0440%19 Sept →
ancient13–6-0.0617%19 Sept →
nuke13–70.1114%19 Sept →
inferno8–13-0.0231%18 Sept →
nuke16–14-0.0111%18 Sept →
anubis13–9-0.0122%18 Sept →
inferno13–60.0835%18 Sept →
inferno8–130.0238%8 Sept →
mirage11–130.0219%4 Sept →
ancient15–15-0.0123%3 Sept →
dust29–13-0.0220%31 Aug →
ancient13–70.0623%31 Aug →
ancient13–60.0323%31 Aug →
inferno11–13-0.0122%30 Aug →
ancient13–11-0.0613%29 Aug →
mirage13–90.0027%29 Aug →
ancient11–13-0.0123%29 Aug →
ancient13–70.0219%29 Aug →
dust213–60.0125%29 Aug →
mirage7–130.0139%29 Aug →
nuke8–130.0037%28 Aug →
ancient7–130.0326%28 Aug →
mirage5–13-0.0428%28 Aug →
mirage7–13-0.0525%21 Aug →
mirage5–13-0.0516%20 Aug →
ancient11–130.0115%20 Aug →
anubis4–13-0.0717%20 Aug →
ancient13–50.0324%20 Aug →
mirage7–130.0129%20 Aug →
cache13–10-0.0118%20 Aug →
anubis6–13-0.0019%19 Aug →
inferno13–60.0627%19 Aug →
mirage7–13-0.0321%19 Aug →
inferno13–3-0.0339%18 Aug →
mirage13–6-0.0126%18 Aug →
nuke13–70.1420%18 Aug →
mirage15–150.0116%17 Aug →
nuke10–13-0.0224%17 Aug →
ancient16–13-0.0324%17 Aug →
ancient13–10.0730%14 Aug →
inferno11–130.0431%14 Aug →
mirage7–13-0.0514%14 Aug →
dust24–130.0312%14 Aug →
dust28–13-0.0030%14 Aug →
inferno13–100.0019%13 Aug →
dust213–100.0226%13 Aug →
nuke13–100.0718%13 Aug →
ancient11–13-0.0017%12 Aug →
dust210–130.0526%12 Aug →
dust213–90.0829%12 Aug →
mirage13–100.0517%12 Aug →
mirage6–13-0.0217%11 Aug →
nuke10–130.0119%11 Aug →
nuke15–15-0.0423%11 Aug →
cache13–40.0926%10 Aug →
inferno15–15-0.0117%10 Aug →
nuke13–20.0212%10 Aug →
cache10–130.0020%9 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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