edith #1314

edith #1314 — CS2 Stats

76561198855917515[U:1:895651787]Steam profile ↗✓ No bans

306Tracked matches39%Win rate2023Tracked since
CSDB Rating5.7 SolidPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+82Tracked matches · now 306
+2.6ppWin rate · 36.7% → 39.3%

Rating over time

37Days played since 2026-08-26

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGedith #1314FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning83
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY39–52–9Last 10039%Win rateLWLWLLWLWL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −2.1pp headshot accuracy · −30ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 617ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 596ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 611ms

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 (+3.1 against its own average).

Aim6.7
Utility2.3
Positioning8.3
Opening Duels6.1
Clutch4.0

Limited utility dependenceStrong positioning

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

s1mple

Plays most like s1mple 56% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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. 604ms 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

Aim6.7
Positioning8.3
Utility2.3
Mechanics5.9
Opening Duels7.1
Win Impact1.4

Composite 5.7/10 (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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time615ms−29ms
first ⅓ avg 644ms → last ⅓ avg 615ms
Headshot accuracy18.0%+1.7%
first ⅓ avg 16.3% → last ⅓ avg 18.0%

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

0.30Best match rating · 9–0 · nuke, 15 Sept →
45%Best headshot accuracy · 13–11 · office, 8 Sept →
422msFastest reaction time · 12–12 · mirage, 15 Sept →
13–1Biggest win · cache, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 60% over 5infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageD144–1029%0.01
cacheD133–1023%0.03
nukeB136–746%0.03
vertigoA127–558%0.04
anubisB115–645%0.03
infernoD92–722%0.03
officeC94–544%0.05
dust2D82–625%-0.00
ancientB63–350%0.04
trainA53–260%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

55Matches
42%Win rate
1.01Avg K/D
79.1ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2232%1.0614.7
Dust21050%0.8611.9
Nuke757%0.9814.3
Cache580%1.0716.4
Anubis425%1.0816.5
Inferno333%1.2016.0
Ancient20%0.8012.5
Vertigo250%0.969.5

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.

19.6%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.3%Spray accuracy
76.5%Counter-strafing
10.4°Preaim
604msReaction time
56.1%T opening success
61.1%CT opening success
0.49Enemies flashed / flash
6.1%Flash assists
3.17HE damage / grenade
4.72Flashes / 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 0.4923 — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0116%13 Oct →
anubis13–90.1215%13 Oct →
cache8–130.0011%13 Oct →
nuke13–100.0218%10 Oct →
inferno0–13-0.005%10 Oct →
cache11–130.0617%9 Oct →
nuke13–70.0120%9 Oct →
office8–130.0831%9 Oct →
train13–5-0.0111%8 Oct →
cache9–13-0.0519%8 Oct →
train7–130.0313%7 Oct →
vertigo13–60.1330%5 Oct →
ancient13–50.1110%4 Oct →
mirage4–130.0118%4 Oct →
inferno2–13-0.0321%3 Oct →
ancient13–20.0416%1 Oct →
inferno8–8-0.0318%30 Sept →
cache13–10.0419%30 Sept →
vertigo9–60.1318%29 Sept →
inferno9–10.2722%29 Sept →
nuke9–50.0711%29 Sept →
anubis4–130.0818%29 Sept →
vertigo12–30.0726%28 Sept →
anubis12–120.0023%27 Sept →
anubis9–130.0615%26 Sept →
vertigo5–130.0517%26 Sept →
cache8–13-0.0110%26 Sept →
dust212–120.1223%26 Sept →
nuke5–9-0.027%26 Sept →
inferno13–100.0335%26 Sept →
vertigo10–13-0.0122%26 Sept →
vertigo7–13-0.0921%25 Sept →
cache10–13-0.0719%25 Sept →
nuke5–13-0.0332%24 Sept →
vertigo13–30.0529%23 Sept →
vertigo11–13-0.0423%23 Sept →
inferno12–120.0317%22 Sept →
train13–100.0413%22 Sept →
mirage13–110.0431%20 Sept →
anubis12–12-0.0610%19 Sept →
mirage6–130.0129%19 Sept →
ancient10–130.0720%19 Sept →
nuke5–13-0.0915%19 Sept →
anubis13–80.0625%17 Sept →
anubis13–40.0424%17 Sept →
anubis11–00.0313%17 Sept →
anubis9–13-0.0514%15 Sept →
dust26–13-0.0217%15 Sept →
mirage12–120.0211%15 Sept →
vertigo13–10-0.0215%15 Sept →
dust213–40.0521%15 Sept →
nuke9–00.3034%15 Sept →
inferno11–13-0.0414%14 Sept →
vertigo11–130.0712%13 Sept →
cache7–130.0327%13 Sept →
mirage13–100.1427%13 Sept →
mirage4–130.0823%12 Sept →
office13–110.0436%9 Sept →
office13–110.0845%8 Sept →
office13–20.1531%8 Sept →
cache7–00.2724%8 Sept →
ancient4–13-0.0319%8 Sept →
office12–12-0.0137%5 Sept →
dust23–13-0.0120%5 Sept →
nuke9–20.2019%5 Sept →
inferno3–9-0.086%5 Sept →
mirage10–13-0.0814%3 Sept →
cache10–130.0413%3 Sept →
nuke7–13-0.0717%3 Sept →
office3–13-0.0021%2 Sept →
office6–130.0223%2 Sept →
anubis13–11-0.013%2 Sept →
nuke8–13-0.0116%2 Sept →
office13–10-0.0113%2 Sept →
office3–70.1023%2 Sept →
dust20–3-0.150%1 Sept →
ancient13–50.0914%1 Sept →
train13–100.0714%1 Sept →
cache13–60.0921%1 Sept →
nuke8–80.0629%31 Aug →
anubis5–130.0920%30 Aug →
dust21–13-0.0323%30 Aug →
cache3–13-0.0710%30 Aug →
ancient3–13-0.0119%30 Aug →
vertigo13–7-0.0120%30 Aug →
mirage10–130.0020%29 Aug →
mirage13–100.0020%29 Aug →
dust211–13-0.0312%29 Aug →
mirage13–8-0.0218%29 Aug →
dust216–130.0514%29 Aug →
mirage6–130.0019%29 Aug →
train9–130.0013%28 Aug →
nuke3–13-0.048%28 Aug →
inferno5–110.1313%28 Aug →
mirage3–13-0.0318%28 Aug →
nuke13–30.0118%27 Aug →
vertigo13–90.0821%26 Aug →
cache8–130.0117%26 Aug →
cache12–12-0.0117%26 Aug →
mirage14–160.0214%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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