Eddie

Eddie — CS2 Stats

SE76561197999633713[U:1:39367985]Steam profile ↗✓ No bans

1,415Tracked matches70%Win rate2020Tracked since
4,541Hours in CS0Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating25,711Top 10% of 204,316 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#14637 of 251424 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (17 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: 25,711 +314 9 May – 26 Sept · 27 days played
22,58925,711peak 25,7119 May26 Sept
25,771Peak Premier in tracked matches
2,049Highest Faceit ELO seen on CSDB
53Days played since 2026-05-09

Faceit ELO

  • At peak — 2,049
  • Next: 2,500 ELO at 2,500 — 451 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • At peak — 25,711
  • +1,591 over 30 days · improving
  • +1,962 over 90 days
  • Next: Gold band at 30,000 — 4,289 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate46.0%49.2%50.7%4.7% short
Shot accuracy16.8%13.4%11.8%above
Kill/death ratio1.191.121.18meets
Match win rate40.7%48.5%51.9%11.1% short

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEddiePREMIER25,711 · Red bandPEAK ELO2,049csdb.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

Aim81
Positioning65
Utility62

0–100 skill scores via Leetify.

Recent form

HOT63–36–1Last 10063%Win rateWWLWLWWWWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −0.1pp headshot accuracy · +31ms 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 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 514ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 513ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 498ms

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 (+0.9 against its own average).

Aim8.1
Utility6.2
Positioning6.5
Opening Duels5.8
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

jL

Plays most like jL 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.1
Positioning6.5
Utility6.2
Mechanics6.6
Opening Duels4.9
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time505ms−19ms
first ⅓ avg 524ms → last ⅓ avg 505ms
Headshot accuracy17.7%+1.9%
first ⅓ avg 15.8% → last ⅓ avg 17.7%

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

0.15Best match rating · 13–8 · ancient, 22 Sept →
33%Best headshot accuracy · 13–10 · train, 11 Jun →
359msFastest reaction time · 13–9 · ancient, 7 Aug →
13–2Biggest win · nuke, 26 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 75% over 16anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S1612–475%0.04
cacheS1611–569%0.05
infernoA159–660%0.03
mirageA148–657%0.02
anubisC104–640%0.06
nukeS96–367%0.02
ancientA95–456%0.03
overpassA53–260%0.01
vertigo—44–0100%0.01
train—21–150%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

196,829Lifetime kills
1.19K/D · Top 50% of Red band
9,193Matches
40.7%Match win rate
46.0%Headshot %
16.8%Shot accuracy · Top 25% of Red band
18,661MVPs
3,525Hours (in match)
6,436Bombs planted
2,857Bombs defused

Most-used weapons

AK-4755,562
AWP34,067
P2509,678
SSG 083,698
Tec-93,543
FAMAS2,926

Lifetime map wins

11,642inferno
10,246dust2
5,362nuke
3,239office
3,098train
2,043cbble
970vertigo
737assault

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

Faceit stats

Combat

688Matches
55%Win rate
1.35Avg K/D
91.5ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
32%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3262%1.2417.8
Ancient2871%1.4018.8
Inferno2673%1.6321.5
Dust22080%1.3822.1
Anubis1547%1.4217.7
Nuke1164%1.8217.9
Cache743%0.9815.9
Train520%0.8614.4

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.

18.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.8%Spray accuracy
79.6%Counter-strafing
9.0°Preaim
502msReaction time
42.8%T opening success
56.0%CT opening success
0.44Enemies flashed / flash
8.3%Flash assists
7.06HE damage / grenade
14.78Flashes / 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 0.4363 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–20.0628%26 Sept →
ancient13–80.1522%22 Sept →
ancient8–13-0.0618%21 Sept →
dust213–8-0.0112%19 Sept →
dust24–13-0.0817%16 Sept →
nuke13–70.0717%11 Sept →
cache13–110.0618%10 Sept →
inferno13–80.049%8 Sept →
inferno13–90.0420%6 Sept →
anubis13–160.0215%6 Sept →
mirage13–90.0411%31 Aug →
nuke13–90.0617%31 Aug →
ancient13–160.0719%29 Aug →
mirage6–130.0522%29 Aug →
cache13–90.0722%29 Aug →
anubis13–90.0912%29 Aug →
cache13–100.0616%29 Aug →
dust213–40.0919%29 Aug →
nuke13–160.0317%29 Aug →
inferno19–220.0322%29 Aug →
ancient13–100.0118%29 Aug →
inferno13–70.0828%24 Aug →
cache13–30.0432%19 Aug →
cache13–70.0718%14 Aug →
dust213–60.0221%14 Aug →
inferno13–100.0617%13 Aug →
dust213–20.0327%7 Aug →
anubis7–130.0321%7 Aug →
ancient12–16-0.005%7 Aug →
ancient13–90.0117%7 Aug →
inferno13–110.0611%6 Aug →
cache7–0-0.030%6 Aug →
anubis8–130.0316%5 Aug →
cache9–130.0214%5 Aug →
dust28–130.0320%5 Aug →
vertigo13–9-0.0320%4 Aug →
vertigo13–100.0524%4 Aug →
dust26–13-0.0119%24 Jul →
anubis13–50.0315%24 Jul →
anubis6–130.0916%24 Jul →
anubis6–130.0720%20 Jul →
nuke10–13-0.0810%14 Jul →
cache16–130.1114%14 Jul →
dust213–10-0.0121%11 Jul →
dust213–80.0120%9 Jul →
mirage13–80.0822%9 Jul →
train8–130.0732%8 Jul →
cache7–130.0617%8 Jul →
cache6–13-0.0516%7 Jul →
dust213–60.086%4 Jul →
nuke13–60.0817%4 Jul →
inferno22–200.0312%4 Jul →
dust216–120.0714%3 Jul →
inferno10–130.0314%3 Jul →
cache13–110.0623%3 Jul →
mirage13–60.0120%3 Jul →
dust213–110.1111%3 Jul →
inferno13–20.0418%3 Jul →
mirage13–10-0.0018%2 Jul →
inferno8–130.019%2 Jul →
inferno8–130.0314%2 Jul →
mirage0–11-0.065%2 Jul →
overpass15–15-0.0712%20 Jun →
cache13–80.1117%18 Jun →
cache7–130.0912%18 Jun →
inferno13–80.0312%16 Jun →
mirage11–130.0212%14 Jun →
mirage13–70.0514%14 Jun →
ancient13–90.0413%14 Jun →
cache8–13-0.0512%14 Jun →
dust213–110.0820%13 Jun →
anubis13–30.1113%13 Jun →
mirage13–50.0316%13 Jun →
train13–10-0.0233%11 Jun →
nuke13–3-0.017%8 Jun →
vertigo13–70.014%7 Jun →
vertigo13–30.0111%7 Jun →
nuke13–10-0.0224%5 Jun →
ancient17–190.0315%3 Jun →
inferno13–110.0418%3 Jun →
mirage13–30.1111%2 Jun →
dust213–70.0619%1 Jun →
mirage11–130.0314%31 May →
inferno11–130.0313%28 May →
mirage13–110.0422%28 May →
overpass13–30.0616%27 May →
dust213–60.0513%25 May →
dust27–130.1214%24 May →
anubis15–190.0111%23 May →
overpass13–50.0610%23 May →
overpass4–13-0.0512%22 May →
anubis13–40.1011%22 May →
mirage8–13-0.0419%20 May →
nuke3–13-0.0115%20 May →
overpass13–30.056%15 May →
inferno11–13-0.0423%14 May →
ancient13–70.0126%14 May →
cache13–70.0527%11 May →
mirage13–16-0.0518%9 May →
cache13–90.1320%9 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.