edward

edward — CS2 Stats

76561199111235797[U:1:1150970069]Steam profile ↗✓ No bans

1,747Tracked matches63%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating24,781Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)
CSDB Leaderboard#25899 of 261544 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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: 24,781 +11,126 18 Apr – 2 Nov · 8 days played
13,65524,882peak 24,88218 Apr2 Nov
24,999Peak Premier in tracked matches
57Days played since 2025-06-15

Premier CS Rating

  • 101 below peak (24,882)
  • Next: Red band at 25,000 — 219 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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

Share this profile

CSDB.GGedwardFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,781 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning65
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY59–37–4Last 10059%Win rateWLWWWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −4.9pp headshot accuracy · −59ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 513ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 550ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 579ms

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 (+1.9 against its own average).

Aim8.0
Utility3.8
Positioning6.5
Opening Duels4.9
Clutch3.0

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 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

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

Aim8.0
Positioning6.5
Utility3.8
Mechanics5.8
Opening Duels6.1
Win Impact9.4

Composite 6.8/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time579ms−62ms
first ⅓ avg 641ms → last ⅓ avg 579ms
Headshot accuracy25.7%−2.2%
first ⅓ avg 27.9% → last ⅓ avg 25.7%

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

0.28Best match rating · 13–2 · overpass, 19 Apr →
50%Best headshot accuracy · 13–4 · mirage, 7 Apr →
438msFastest reaction time · 13–4 · nuke, 8 Nov →
13–1Biggest win · mirage, 7 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 65% over 23nukeWeakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA4123–1856%0.04
dust2S2315–865%0.04
nukeA116–555%0.02
cacheA74–357%0.02
anubis—43–175%0.03
inferno—42–250%-0.01
ancient—32–167%-0.03
overpass—32–167%0.11
train—32–167%-0.01
vertigo—10–10%-0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,892Matches
56%Win rate
1.26Avg K/D
95.7ADR
56%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage28357%1.3221.3
Dust214650%1.1418.3
Nuke9358%1.4020.7
Ancient6552%1.2819.6
Anubis6344%1.3019.4
Vertigo3566%1.4922.3
Inferno2250%1.0618.0
Train2162%1.2620.0

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.

25.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
41.4%Spray accuracy
76.1%Counter-strafing
9.9°Preaim
582msReaction time
54.1%T opening success
54.4%CT opening success
0.58Enemies flashed / flash
8.7%Flash assists
5.62HE damage / grenade
6.70Flashes / match

Recent matches

MapScoreRatingHS%Date
cache13–110.1736%12 Nov →
mirage7–13-0.0427%9 Nov →
nuke13–40.0410%8 Nov →
dust213–90.0421%3 Nov →
dust213–11-0.0217%3 Nov →
dust26–13-0.0533%2 Nov →
anubis4–13-0.0629%2 Nov →
inferno5–13-0.0520%31 Oct →
mirage16–13-0.0013%31 Oct →
mirage13–90.0025%31 Oct →
cache9–130.0230%31 Oct →
inferno13–100.049%31 Oct →
cache6–13-0.0125%30 Oct →
cache16–14-0.0227%30 Oct →
mirage13–60.0234%30 Oct →
ancient13–70.0133%30 Oct →
mirage13–40.1537%30 Oct →
nuke11–130.0229%30 Oct →
cache13–30.0823%30 Oct →
mirage13–90.0733%30 Oct →
inferno13–80.0543%26 Oct →
mirage13–40.1333%26 Oct →
vertigo1–9-0.1015%4 Sept →
anubis13–50.0238%15 Jun →
nuke11–130.0512%13 Jun →
mirage14–16-0.0215%10 Jun →
dust213–90.0120%5 Jun →
dust24–130.0127%4 Jun →
mirage5–130.0522%30 May →
cache13–7-0.0427%29 May →
nuke13–9-0.0320%29 May →
mirage8–13-0.0537%25 May →
dust213–110.1127%24 May →
dust213–10-0.0522%23 May →
dust213–50.0125%22 May →
ancient13–5-0.1026%22 May →
mirage9–130.0136%22 May →
dust29–13-0.0229%20 May →
nuke14–160.0218%4 May →
cache1–13-0.0626%27 Apr →
dust24–130.0530%27 Apr →
dust213–70.0523%27 Apr →
mirage16–140.0922%27 Apr →
anubis13–30.1523%26 Apr →
dust213–50.0330%25 Apr →
mirage13–60.0019%24 Apr →
mirage6–130.0024%23 Apr →
mirage13–8-0.0120%22 Apr →
nuke13–6-0.0135%22 Apr →
dust213–100.0230%21 Apr →
anubis13–40.0130%21 Apr →
mirage13–30.0431%20 Apr →
mirage13–70.0725%20 Apr →
mirage9–130.0022%19 Apr →
mirage16–140.0925%19 Apr →
ancient7–13-0.0120%19 Apr →
overpass13–20.2817%19 Apr →
dust213–70.2141%19 Apr →
mirage13–160.0439%19 Apr →
overpass13–90.0122%18 Apr →
dust213–7-0.0324%18 Apr →
mirage13–40.0438%18 Apr →
mirage7–130.0734%18 Apr →
nuke10–13-0.0123%18 Apr →
mirage13–50.1133%18 Apr →
dust215–150.0632%16 Apr →
mirage13–160.1330%15 Apr →
mirage13–70.0541%13 Apr →
mirage13–90.1519%11 Apr →
mirage15–15-0.0328%11 Apr →
dust213–60.0928%11 Apr →
mirage13–40.0850%7 Apr →
mirage13–10.0827%7 Apr →
mirage8–130.0040%3 Apr →
mirage15–150.0825%31 Mar →
nuke8–130.0531%31 Mar →
dust215–15-0.0121%20 Mar →
dust213–90.1047%20 Mar →
mirage4–130.0934%12 Nov →
train7–13-0.0743%11 Nov →
mirage5–130.0531%8 Nov →
dust213–70.0738%29 Oct →
overpass6–130.0325%12 Sept →
inferno6–13-0.0727%12 Aug →
dust25–13-0.0617%10 Aug →
mirage13–11-0.0041%10 Aug →
nuke13–20.0523%5 Aug →
mirage14–16-0.0118%18 Jul →
nuke13–40.0715%17 Jul →
train13–100.0127%15 Jul →
nuke13–10-0.0817%15 Jul →
mirage16–130.0426%15 Jul →
train13–110.0324%12 Jul →
dust25–13-0.0421%1 Jul →
dust213–20.2533%24 Jun →
mirage13–90.0424%20 Jun →
mirage3–13-0.0612%16 Jun →
mirage13–30.0324%15 Jun →
mirage13–30.0114%15 Jun →
mirage10–130.0333%15 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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