Eddyy=[;/]

Eddyy=[;/] — CS2 Stats

76561198379396692[U:1:419130964]Steam profile ↗✓ No bans

3,271Tracked matches57%Win rate2020Tracked since
12,738Hours in CS
CSDB Rating6.1 SolidPositional Player
FaceitLevel 9 · 1,989 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,989 → 1,989
+51Tracked matches · now 3,271
+3.3ppWin rate · 53.3% → 56.7%

Rating over time

Faceit ELO: 1,989 +0 2 Sept – 23 Sept · 3 observations
1,9891,989peak 1,9892 Sept23 Sept
1,989Highest Faceit ELO seen on CSDB
72Days played since 2025-08-19

Faceit ELO

  • At peak — 1,989
  • Next: Level 10 at 2,001 — 12 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches65——
Win rate52%——
K/D1.32——
Headshot %65%——

Measured 23 Sep 2026 → 20 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,654), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate70.2%48.2%50.9%above
Shot accuracy14.0%13.2%13.7%above
Kill/death ratio1.101.071.09meets
Match win rate48.0%46.9%48.4%meets

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGEddyy=[;/]FACEITLevel 9 · 1,989 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,989csdb.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

Aim79
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWWWLWLLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −5.5pp headshot accuracy · −70ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 569ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 588ms

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 (+1.3 against its own average).

Aim7.9
Utility4.9
Positioning5.4
Opening Duels2.5
Clutch3.6

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

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

Reaction time. 582ms 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

Aim7.9
Positioning5.4
Utility4.9
Mechanics8.2
Opening Duels2.9
Win Impact7.2

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time585ms−23ms
first ⅓ avg 609ms → last ⅓ avg 585ms
Headshot accuracy20.6%−0.2%
first ⅓ avg 20.8% → last ⅓ avg 20.6%

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

0.11Best match rating · 13–3 · ancient, 14 Jul →
47%Best headshot accuracy · 13–5 · nuke, 19 Nov →
414msFastest reaction time · 13–11 · cache, 29 Sept →
13–3Biggest win · ancient, 14 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
11–12In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 88% over 8infernoWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
ancientA2213–959%0.01
nukeA1811–761%0.02
infernoD185–1328%-0.02
dust2C125–742%-0.00
overpassB126–650%-0.01
cacheS87–188%0.02
anubisC52–340%-0.03
mirageC52–340%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

256,625Lifetime kills
1.10K/D · Top 50% of Level 9 players
5,044Matches
48.0%Match win rate · Top 50% of Level 9 players
70.2%Headshot % · Top 5% of Level 9 players
14.0%Shot accuracy · Top 50% of Level 9 players
12,133MVPs
12,738Hours (in match)
6,751Bombs planted
1,854Bombs defused

Most-used weapons

AK-47125,208
AWP9,858
Knife3,420
SG 5532,982
FAMAS2,836

Lifetime map wins

8,471inferno
8,041nuke
7,477vertigo
3,571train
2,994dust2
898cbble
52lake
14office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,671Matches
50%Win rate
1.09Avg K/D
73.9ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient41651%1.0815.6
Nuke30858%1.1915.5
Anubis25342%0.9614.2
Dust214837%0.9714.1
Inferno14441%1.0115.1
Vertigo12248%0.9914.5
Overpass12056%1.2015.9
Mirage7232%0.9414.7

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.

20.1%Headshot accuracy
37.0%Accuracy (enemy spotted)
36.8%Spray accuracy
87.0%Counter-strafing
9.9°Preaim
582msReaction time
47.0%T opening success
36.4%CT opening success
0.51Enemies flashed / flash
4.6%Flash assists
8.32HE damage / grenade
5.59Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.4349% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.056%5 Oct →
nuke13–40.0515%30 Sept →
cache13–11-0.0127%29 Sept →
cache13–4-0.0519%27 Sept →
nuke9–130.0010%22 Sept →
ancient13–50.0215%22 Sept →
cache3–130.0529%20 Sept →
ancient5–130.0129%20 Sept →
anubis7–13-0.0623%16 Sept →
ancient9–130.0113%15 Sept →
nuke16–13-0.0120%9 Sept →
inferno20–22-0.0117%5 Sept →
ancient8–13-0.0337%5 Sept →
anubis13–9-0.0326%5 Sept →
inferno4–13-0.0730%2 Sept →
mirage13–80.0223%2 Sept →
nuke4–13-0.0226%7 Aug →
inferno13–11-0.0415%7 Aug →
ancient6–13-0.0426%17 Jul →
ancient13–30.1121%14 Jul →
nuke11–130.0615%9 Jul →
cache13–110.0213%9 Jul →
cache13–40.0121%9 Jul →
dust210–13-0.0224%4 Jul →
dust213–50.0411%1 Jul →
ancient13–70.0620%28 Jun →
overpass7–13-0.0427%28 Jun →
nuke13–30.0830%26 Jun →
ancient13–4-0.0217%26 Jun →
ancient13–6-0.0310%14 Jun →
cache13–9-0.0317%12 Jun →
inferno14–160.0028%24 May →
inferno14–16-0.0125%23 May →
overpass13–11-0.0122%20 May →
inferno16–13-0.0216%14 May →
overpass7–13-0.0426%9 May →
overpass19–22-0.0117%2 May →
inferno11–130.0115%2 May →
ancient13–80.0416%1 May →
cache19–160.0215%1 May →
cache13–50.1125%25 Apr →
ancient13–70.0316%23 Apr →
ancient10–130.0816%19 Apr →
anubis5–13-0.0632%13 Apr →
inferno6–13-0.0715%10 Apr →
nuke8–130.0225%8 Apr →
overpass13–11-0.0418%6 Apr →
mirage5–13-0.1123%1 Apr →
dust29–13-0.057%22 Mar →
anubis19–220.0115%22 Mar →
nuke13–90.0919%22 Mar →
inferno18–22-0.0212%21 Mar →
dust213–70.0111%21 Mar →
nuke13–160.0018%20 Mar →
overpass13–80.0423%8 Mar →
dust216–130.0119%4 Mar →
nuke19–160.0217%1 Mar →
inferno8–13-0.0224%1 Mar →
inferno10–13-0.029%28 Feb →
ancient13–40.1017%28 Feb →
dust23–13-0.047%26 Feb →
ancient13–110.0228%26 Feb →
overpass13–4-0.0311%25 Feb →
ancient11–13-0.0124%25 Feb →
inferno2–13-0.079%25 Feb →
inferno10–130.0116%11 Feb →
overpass13–5-0.0117%8 Feb →
dust213–110.0423%8 Feb →
nuke16–14-0.0116%7 Feb →
ancient22–180.0111%4 Feb →
dust211–130.0015%4 Feb →
dust216–13-0.037%1 Feb →
ancient10–13-0.019%1 Feb →
anubis13–10-0.0112%25 Jan →
mirage13–60.1122%25 Jan →
nuke13–11-0.0217%24 Jan →
overpass13–9-0.0320%16 Jan →
ancient13–50.0123%4 Jan →
dust211–13-0.0426%31 Dec →
dust211–130.0340%31 Dec →
nuke13–80.0914%26 Dec →
overpass11–130.0517%24 Dec →
inferno13–60.0624%24 Dec →
ancient13–4-0.039%24 Dec →
inferno13–9-0.0219%23 Dec →
mirage9–13-0.0132%20 Dec →
nuke6–130.0217%9 Dec →
ancient5–13-0.0725%7 Dec →
inferno11–130.0423%29 Nov →
mirage11–130.0130%20 Nov →
nuke13–5-0.0147%19 Nov →
ancient7–13-0.0824%10 Nov →
ancient19–17-0.0222%6 Nov →
nuke10–13-0.0417%30 Oct →
overpass10–130.0426%25 Oct →
dust26–130.0219%9 Oct →
inferno0–9-0.1220%17 Sept →
nuke19–17-0.0113%15 Sept →
overpass1–13-0.0722%19 Aug →
inferno13–50.0625%19 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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