Alexandra

Alexandra — CS2 Stats

SE76561198070194525[U:1:109928797]Steam profile ↗✓ No bans

573Tracked matches37%Win rate2020Tracked since
CSDB Rating4.3 DevelopingClutch Specialist
Premier CS Rating15,747Purple band · top ~25.4% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (11 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: 15,747 -770 22 Aug – 3 Oct · 7 days played
15,74716,517peak 16,51722 Aug3 Oct
16,517Peak Premier in tracked matches
40Days played since 2026-08-13

Premier CS Rating

  • 770 below peak (16,517)
  • -770 over 30 days · declining
  • Next: Pink band at 20,000 — 4,253 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGAlexandraPREMIER15,747 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning51
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY45–43–12Last 10045%Win rateTLWWWLLLLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · −24ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 574ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.1 against its own average).

Aim5.8
Utility3.9
Positioning5.1
Opening Duels0.7
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 594ms 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

Aim5.8
Positioning5.1
Utility3.9
Mechanics5.3
Opening Duels1.3
Win Impact0.7

Composite 4.3/10 (Developing), 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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time592ms−40ms
first ⅓ avg 632ms → last ⅓ avg 592ms
Headshot accuracy17.8%−1.9%
first ⅓ avg 19.8% → last ⅓ avg 17.8%

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

0.13Best match rating · 13–3 · anubis, 11 Oct →
100%Best headshot accuracy · 2–1 · mirage, 4 Sept →
453msFastest reaction time · 4–13 · ancient, 30 Sept →
13–1Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 63% over 19ancientWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%-0.02
ancientC218–1338%-0.01
infernoA1912–763%0.02
vertigoC146–843%-0.02
anubisC83–538%-0.01
cacheA53–260%0.01
nuke—41–325%-0.02
dust2—42–250%-0.01
train—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches
59%Win rate
0.95Avg K/D
72.7ADR
53%Headshot %

Clutches & streaks

80%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1136%0.7511.2
Inferno683%1.0012.3
Vertigo560%1.0314.0
Cache475%1.3917.3
Nuke250%0.6310.0
Overpass250%0.7115.0
Dust21100%0.8612.0
Anubis1100%1.7816.0

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.

17.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
30.7%Spray accuracy
73.8%Counter-strafing
10.0°Preaim
594msReaction time
36.5%T opening success
33.8%CT opening success
0.44Enemies flashed / flash
1.5%Flash assists
11.22HE damage / grenade
3.26Flashes / 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 0.4366 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 36.4674% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–120.0414%13 Oct →
anubis5–13-0.0913%12 Oct →
ancient13–5-0.0116%12 Oct →
inferno13–110.0221%11 Oct →
anubis13–30.1321%11 Oct →
vertigo9–13-0.0919%5 Oct →
anubis5–13-0.0521%5 Oct →
inferno9–13-0.0327%4 Oct →
mirage6–13-0.0235%4 Oct →
mirage13–10-0.025%4 Oct →
mirage2–7-0.0222%4 Oct →
inferno13–60.0115%3 Oct →
vertigo12–120.0511%30 Sept →
ancient4–13-0.0722%30 Sept →
anubis8–130.0325%28 Sept →
ancient10–130.0114%28 Sept →
inferno13–100.0517%28 Sept →
anubis9–13-0.0215%27 Sept →
mirage9–13-0.0314%27 Sept →
vertigo6–130.0121%27 Sept →
mirage4–13-0.0319%27 Sept →
ancient13–4-0.0024%26 Sept →
vertigo8–130.0213%26 Sept →
mirage12–12-0.0619%26 Sept →
ancient2–13-0.0017%26 Sept →
mirage3–13-0.0219%26 Sept →
ancient13–60.0812%26 Sept →
ancient13–30.0519%25 Sept →
mirage13–10-0.0112%25 Sept →
cache1–13-0.0126%25 Sept →
mirage13–50.0115%24 Sept →
mirage13–1-0.0314%23 Sept →
ancient6–13-0.0614%23 Sept →
mirage11–130.0024%22 Sept →
ancient9–13-0.0914%22 Sept →
cache13–8-0.0510%20 Sept →
mirage10–13-0.0316%20 Sept →
ancient12–12-0.029%18 Sept →
inferno3–13-0.0513%17 Sept →
anubis13–80.025%17 Sept →
vertigo6–13-0.0432%17 Sept →
ancient12–120.0718%17 Sept →
ancient12–12-0.009%16 Sept →
mirage7–13-0.0510%16 Sept →
inferno13–40.0311%16 Sept →
nuke11–13-0.038%15 Sept →
vertigo12–12-0.0616%14 Sept →
vertigo13–10-0.0122%13 Sept →
inferno13–8-0.0617%13 Sept →
mirage12–12-0.0315%13 Sept →
ancient1–13-0.038%13 Sept →
vertigo13–6-0.0214%13 Sept →
inferno13–30.0516%12 Sept →
anubis11–13-0.0516%12 Sept →
mirage11–130.0417%12 Sept →
inferno13–40.0920%10 Sept →
ancient13–6-0.0220%10 Sept →
mirage13–100.089%10 Sept →
nuke13–9-0.0229%9 Sept →
vertigo13–6-0.0413%9 Sept →
anubis13–2-0.0418%9 Sept →
ancient12–120.0331%9 Sept →
inferno13–40.0716%8 Sept →
dust213–60.0115%8 Sept →
mirage13–60.0216%7 Sept →
cache13–10.1238%7 Sept →
cache2–13-0.0621%7 Sept →
inferno13–80.0318%7 Sept →
nuke9–130.0420%5 Sept →
inferno12–12-0.0019%5 Sept →
ancient6–13-0.0323%5 Sept →
mirage1–13-0.1014%5 Sept →
ancient4–13-0.117%4 Sept →
dust25–13-0.0410%4 Sept →
mirage2–1-0.06100%4 Sept →
mirage7–13-0.0420%3 Sept →
vertigo2–130.0222%3 Sept →
ancient13–20.0519%3 Sept →
inferno13–50.0622%2 Sept →
mirage13–6-0.0413%1 Sept →
dust27–13-0.0512%1 Sept →
ancient13–11-0.0511%1 Sept →
inferno16–140.0222%30 Aug →
mirage13–80.0217%27 Aug →
vertigo13–110.0320%27 Aug →
inferno12–12-0.0119%23 Aug →
inferno16–14-0.0319%22 Aug →
mirage13–10-0.0122%22 Aug →
cache13–10.0517%22 Aug →
dust213–40.0411%21 Aug →
nuke3–13-0.060%21 Aug →
inferno6–130.0215%21 Aug →
vertigo2–13-0.0717%18 Aug →
mirage12–12-0.0016%18 Aug →
vertigo13–90.0218%16 Aug →
ancient3–13-0.0243%16 Aug →
inferno6–13-0.0214%16 Aug →
ancient13–110.006%15 Aug →
train11–13-0.0333%13 Aug →
vertigo13–5-0.0414%13 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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