evelyn1

evelyn1 — CS2 Stats

CN76561198819734315[U:1:859468587]Steam profile ↗✓ No bans

2,209Tracked matches38%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
FaceitLevel 8 · 1,847 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 2,209 tracked matches. Play, then come back: the next observation lands here.

Rating over time

1,847Highest Faceit ELO seen on CSDB
50Days played since 2026-02-01

Faceit ELO

  • At peak — 1,847
  • Next: Level 10 at 2,001 — 154 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-10-04
  • Level 8 first seen 2026-10-04

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.

Share this profile

CSDB.GGevelyn1FACEITLevel 8 · 1,847 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,847csdb.gg/stats

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Performance scores

Aim67
Positioning46
Utility62

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateLLWLLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +6.2pp headshot accuracy · −106ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 589ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 613ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 665ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim6.7
Utility6.2
Positioning4.6
Opening Duels2.0
Clutch3.6

Effective flashes

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 680ms 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
Positioning4.6
Utility6.2
Mechanics6.7
Opening Duels1.6
Win Impact1.0

Composite 4.9/10 (Developing), 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+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time677ms+37ms
first ⅓ avg 639ms → last ⅓ avg 677ms
Headshot accuracy26.0%−2.7%
first ⅓ avg 28.7% → last ⅓ avg 26.0%

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

0.17Best match rating · 13–2 · anubis, 22 Jun →
82%Best headshot accuracy · 13–2 · nuke, 2 Feb →
469msFastest reaction time · 9–13 · ancient, 30 Aug →
13–2Biggest win · anubis, 22 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 56% over 41anubisWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA4123–1856%-0.02
ancientB2211–1150%-0.01
nukeB147–750%0.01
anubisD122–1017%-0.02
dust2D72–529%-0.02
inferno—21–150%0.01
cache—11–0100%0.01
overpass—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,110Matches
52%Win rate
0.93Avg K/D
71.9ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
15%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage74655%0.9514.8
Ancient24544%0.8913.8
Anubis20952%0.9513.9
Nuke12749%0.9214.3
Dust29237%0.7412.0
Train4464%0.9113.5
Inferno3855%0.8813.6
Overpass3145%0.8912.8

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.

25.3%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.5%Spray accuracy
80.2%Counter-strafing
9.2°Preaim
680msReaction time
29.2%T opening success
42.4%CT opening success
0.70Enemies flashed / flash
11.4%Flash assists
5.74HE damage / grenade
12.64Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.2219% — below the 40% mark we flag

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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0225%28 Sept →
nuke11–130.0325%6 Sept →
mirage13–60.0839%30 Aug →
ancient9–13-0.0319%30 Aug →
nuke11–130.0340%25 Aug →
dust24–13-0.0146%23 Aug →
mirage13–9-0.0222%23 Aug →
mirage9–13-0.0217%22 Aug →
nuke9–13-0.0429%20 Aug →
dust29–13-0.0225%5 Aug →
mirage7–13-0.0424%26 Jun →
mirage10–13-0.079%25 Jun →
ancient16–14-0.0520%25 Jun →
mirage13–70.0226%25 Jun →
mirage8–13-0.0217%25 Jun →
mirage14–16-0.0131%24 Jun →
mirage9–13-0.0132%23 Jun →
ancient11–13-0.0222%22 Jun →
anubis13–20.1726%22 Jun →
mirage16–12-0.0117%22 Jun →
nuke11–130.0334%22 Jun →
nuke16–130.0023%21 Jun →
dust23–130.0024%21 Jun →
anubis11–13-0.0321%21 Jun →
cache13–110.0133%21 Jun →
dust23–13-0.049%16 Jun →
mirage13–70.0130%15 Jun →
inferno13–60.0237%15 Jun →
ancient15–150.0322%14 Jun →
mirage13–11-0.0124%13 Jun →
ancient11–130.0225%12 Jun →
nuke13–40.0341%12 Jun →
ancient13–9-0.0224%1 Jun →
ancient13–10-0.0626%24 Apr →
ancient13–100.0212%23 Apr →
anubis4–13-0.0120%22 Apr →
dust213–9-0.0011%22 Apr →
ancient12–16-0.0119%22 Apr →
mirage10–13-0.0340%6 Apr →
mirage13–70.0222%6 Apr →
ancient5–13-0.0114%4 Apr →
mirage13–8-0.0345%31 Mar →
nuke3–13-0.098%30 Mar →
anubis13–60.0222%30 Mar →
anubis9–13-0.0437%30 Mar →
ancient13–3-0.0019%24 Mar →
mirage7–130.0123%24 Mar →
mirage13–8-0.059%24 Mar →
mirage10–130.0021%23 Mar →
ancient13–8-0.0324%18 Mar →
nuke13–100.0023%14 Mar →
nuke13–100.0016%14 Mar →
mirage13–6-0.0414%14 Mar →
dust213–4-0.0722%14 Mar →
mirage8–13-0.0520%10 Mar →
anubis5–13-0.0320%9 Mar →
ancient13–60.0214%9 Mar →
nuke7–13-0.0028%9 Mar →
mirage13–9-0.078%2 Mar →
mirage13–8-0.0117%1 Mar →
anubis10–13-0.0419%27 Feb →
anubis7–13-0.0816%27 Feb →
ancient14–16-0.0228%27 Feb →
anubis8–13-0.0518%26 Feb →
mirage13–6-0.0419%26 Feb →
mirage13–6-0.0416%26 Feb →
ancient10–13-0.0847%26 Feb →
mirage11–13-0.0312%25 Feb →
mirage13–11-0.0923%25 Feb →
ancient4–13-0.1117%25 Feb →
mirage9–13-0.0019%25 Feb →
inferno16–190.0033%24 Feb →
mirage13–7-0.0021%24 Feb →
mirage14–16-0.0438%24 Feb →
ancient13–90.0229%24 Feb →
overpass3–13-0.0653%24 Feb →
nuke7–13-0.0046%23 Feb →
mirage9–13-0.0326%23 Feb →
anubis10–13-0.0336%23 Feb →
mirage9–13-0.0625%21 Feb →
mirage13–90.0415%19 Feb →
mirage7–13-0.0722%19 Feb →
mirage13–11-0.0125%19 Feb →
mirage13–40.0835%19 Feb →
mirage13–3-0.0210%18 Feb →
anubis8–13-0.0337%17 Feb →
mirage13–70.0338%17 Feb →
ancient13–50.0714%11 Feb →
nuke13–60.0420%6 Feb →
ancient13–70.0936%4 Feb →
anubis6–13-0.0515%3 Feb →
ancient10–13-0.0023%2 Feb →
ancient6–13-0.0235%2 Feb →
nuke13–20.1282%2 Feb →
nuke13–11-0.0321%2 Feb →
mirage7–13-0.0715%2 Feb →
ancient13–90.0119%2 Feb →
mirage11–13-0.0431%1 Feb →
mirage13–60.0429%1 Feb →
mirage13–90.0446%1 Feb →

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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