|Enchantress|

|Enchantress| — CS2 Stats

CO76561199857557603[U:1:1897291875]Steam profile ↗✓ No bans

190Tracked matches72%Win rate2025Tracked since
CSDB Rating6.7 SolidAll-Rounder
Premier CS Rating16,360Purple band · top ~23% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). 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: 16,360 +11,361 18 Jan – 31 Oct · 26 days played
4,89916,695peak 16,69518 Jan31 Oct
16,695Peak Premier in tracked matches
38Days played since 2026-01-18

Premier CS Rating

  • 335 below peak (16,695)
  • -335 over 30 days · steady
  • Next: Pink band at 20,000 — 3,640 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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

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CSDB.GG|Enchantress|PREMIER16,360 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning55
Utility59

0–100 skill scores via Leetify.

Recent form

HOT57–40–3Last 10057%Win rateWLLWWWWWWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.7pp headshot accuracy · −65ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 562ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 577ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 610ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.3
Utility5.9
Positioning5.5
Opening Duels3.9

Strong CT-side opener

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Reaction time. 597ms 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

Aim7.3
Positioning5.5
Utility5.9
Mechanics7.3
Opening Duels4.5
Win Impact10.0

Composite 6.7/10 (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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time593ms−73ms
first ⅓ avg 666ms → last ⅓ avg 593ms
Headshot accuracy13.2%+1.6%
first ⅓ avg 11.6% → last ⅓ avg 13.2%

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

0.23Best match rating · 13–4 · inferno, 2 Feb →
30%Best headshot accuracy · 13–11 · dust2, 18 Apr →
453msFastest reaction time · 10–2 · mirage, 3 Oct →
13–1Biggest win · mirage, 1 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 73% over 15mirageWeakest map · 46% over 26
MapGradePlayedRecordWin rateAvg rating
mirageB2612–1446%0.01
dust2A2213–959%0.02
infernoA169–756%0.03
anubisS1511–473%-0.00
ancientB126–650%-0.01
nukeA53–260%0.03
cache—33–0100%0.02
alpine—10–10%-0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.0%Headshot accuracy
39.9%Accuracy (enemy spotted)
43.0%Spray accuracy
82.7%Counter-strafing
10.9°Preaim
597msReaction time
42.4%T opening success
53.9%CT opening success
0.54Enemies flashed / flash
10.5%Flash assists
9.14HE damage / grenade
7.08Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0061% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

46% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–20.0811%31 Oct →
mirage12–16-0.0012%23 Oct →
dust210–13-0.027%23 Oct →
mirage10–20.1021%3 Oct →
anubis13–100.039%3 Oct →
inferno13–70.0810%3 Oct →
cache13–100.0114%27 Sept →
mirage13–7-0.0216%27 Sept →
cache13–40.1211%26 Sept →
anubis13–100.038%26 Sept →
dust210–130.0417%26 Sept →
dust213–40.036%26 Sept →
inferno13–70.0815%26 Sept →
nuke13–100.099%26 Sept →
anubis13–50.0411%21 Sept →
ancient13–110.0719%21 Sept →
nuke13–20.0518%21 Sept →
mirage10–13-0.0118%21 Sept →
cache13–11-0.0616%18 Sept →
inferno13–20.1419%18 Sept →
anubis13–10-0.0018%5 Sept →
dust213–40.0110%2 Sept →
ancient16–13-0.039%2 Sept →
dust24–13-0.0815%2 Sept →
ancient8–13-0.057%1 Sept →
mirage7–13-0.0515%1 Sept →
dust215–150.0118%1 Sept →
mirage13–110.1110%1 Sept →
inferno10–13-0.0311%1 Sept →
mirage13–10.0217%1 Sept →
mirage13–7-0.0119%1 Sept →
mirage11–13-0.058%28 Aug →
mirage16–120.0414%28 Aug →
dust213–20.0316%28 Aug →
dust213–30.0229%28 Aug →
ancient9–130.0210%22 Aug →
dust215–15-0.0218%22 Aug →
mirage8–13-0.0618%22 Aug →
inferno7–13-0.108%22 Aug →
inferno13–30.0114%19 Aug →
nuke8–130.0412%16 Aug →
inferno6–130.0714%16 Aug →
anubis4–13-0.0110%2 Aug →
ancient13–60.0417%2 Aug →
nuke7–13-0.0910%21 Jun →
inferno14–160.0414%21 Jun →
ancient7–13-0.0411%13 Jun →
dust213–100.0911%13 Jun →
anubis9–13-0.0312%13 Jun →
inferno7–13-0.038%3 Jun →
ancient13–80.0112%3 Jun →
anubis9–13-0.0213%3 Jun →
dust213–70.0517%3 Jun →
mirage13–7-0.026%3 Jun →
anubis10–13-0.079%3 Jun →
mirage14–160.0819%2 Jun →
anubis16–14-0.0311%6 May →
anubis13–9-0.0519%4 May →
ancient13–9-0.023%4 May →
mirage10–13-0.079%4 May →
mirage9–130.129%4 May →
anubis13–70.069%4 May →
mirage8–13-0.0520%3 May →
inferno13–20.009%3 May →
mirage13–5-0.0521%3 May →
inferno13–70.049%18 Apr →
dust213–110.0530%18 Apr →
dust210–13-0.0816%18 Apr →
mirage11–13-0.0316%23 Mar →
mirage9–13-0.094%23 Mar →
mirage8–130.1012%20 Mar →
dust213–4-0.0110%20 Mar →
anubis13–20.0317%1 Mar →
anubis13–30.0311%28 Feb →
mirage13–90.039%20 Feb →
dust213–40.0210%20 Feb →
inferno12–16-0.0415%16 Feb →
anubis13–7-0.046%16 Feb →
inferno8–13-0.0115%16 Feb →
anubis13–90.0216%16 Feb →
alpine11–13-0.125%16 Feb →
dust213–2-0.065%16 Feb →
dust25–13-0.0212%16 Feb →
mirage13–100.009%15 Feb →
ancient7–13-0.0111%12 Feb →
dust25–130.0620%10 Feb →
ancient13–9-0.0315%10 Feb →
mirage15–15-0.0116%4 Feb →
inferno13–6-0.012%4 Feb →
mirage13–16-0.0014%3 Feb →
dust213–80.0717%3 Feb →
dust25–130.0410%3 Feb →
nuke13–30.0916%3 Feb →
inferno13–9-0.019%2 Feb →
mirage13–70.0513%2 Feb →
inferno13–40.2315%2 Feb →
dust213–110.0612%26 Jan →
ancient7–13-0.0213%26 Jan →
ancient7–13-0.056%19 Jan →
mirage13–30.047%18 Jan →

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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