ala

ala — CS2 Stats

76561197965813306[U:1:5547578]Steam profile ↗✓ No bans

921Tracked matches62%Win rate2023Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating18,800Top 50% of 205,709 CSDB-tracked playersPurple band · top ~13.3% of ranked players (population est.)
CSDB Leaderboard#98764 of 253087 tracked
FaceitLevel 7 · 1,318 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (4 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: 18,800 +869 10 Aug – 14 Oct · 35 days played
15,98918,969peak 18,96910 Aug14 Oct
Faceit ELO: 1,318 +0 29 Aug – 20 Sept · 2 observations
1,3181,318peak 1,31829 Aug20 Sept
19,045Peak Premier in tracked matches
1,318Highest Faceit ELO seen on CSDB
36Days played since 2026-07-14

Faceit ELO

  • At peak — 1,318
  • Next: Level 7 at 1,351 — 33 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-29
  • Level 5 first seen 2026-08-29

Premier CS Rating

  • 169 below peak (18,969)
  • +285 over 30 days · steady
  • Next: Pink band at 20,000 — 1,200 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGalaFACEITLevel 7 · 1,318 ELOSTANDINGTop 42.3% of rankedPREMIER18,800 · Purple bandPEAK ELO1,318csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim70
Positioning59
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWLWLWLLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −0.7pp headshot accuracy · −26ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 631ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 619ms

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 (+1.3 against its own average).

Aim7.0
Utility6.2
Positioning5.9
Opening Duels3.2
Clutch4.4

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 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 60% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 606ms 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

Aim7.0
Positioning5.9
Utility6.2
Mechanics7.1
Opening Duels5.1
Win Impact9.0

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 0.00 → last ⅓ avg 0.02
Reaction time597ms+18ms
first ⅓ avg 579ms → last ⅓ avg 597ms
Headshot accuracy13.6%−3.4%
first ⅓ avg 17.0% → last ⅓ avg 13.6%

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

0.16Best match rating · 13–1 · mirage, 8 Sept →
28%Best headshot accuracy · 6–13 · dust2, 11 Aug →
422msFastest reaction time · 13–8 · inferno, 3 Sept →
13–1Biggest win · mirage, 8 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
11–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 75% over 8ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2215–768%0.00
mirageC208–1240%0.02
dust2C167–944%0.02
cacheB136–746%0.01
anubisA127–558%0.02
ancientD91–811%-0.03
nukeS86–275%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

196Matches
49%Win rate
1.21Avg K/D
85.8ADR
47%Headshot %

Clutches & streaks

42%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage6152%1.2316.9
Inferno3661%1.3216.6
Dust23336%1.2016.6
Ancient1735%1.1416.5
Anubis1625%1.0317.5
Vertigo1560%1.2017.0
Nuke1173%1.2216.1
Overpass560%0.9614.2

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.

14.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.5%Spray accuracy
81.9%Counter-strafing
8.9°Preaim
606msReaction time
59.8%T opening success
40.8%CT opening success
0.56Enemies flashed / flash
7.1%Flash assists
9.57HE damage / grenade
6.00Flashes / 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 14.0841% — below the 15% mark we flag

    Aim Training →
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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0424%14 Oct →
nuke13–80.0313%14 Oct →
dust211–130.0711%14 Oct →
cache13–110.0113%13 Oct →
mirage11–13-0.0315%13 Oct →
mirage13–50.009%13 Oct →
cache10–130.0015%7 Oct →
nuke7–13-0.038%7 Oct →
inferno13–11-0.0112%7 Oct →
nuke13–80.0613%6 Oct →
dust213–110.0320%6 Oct →
dust213–40.1014%6 Oct →
inferno11–13-0.0416%5 Oct →
ancient0–8-0.065%5 Oct →
cache13–60.0213%5 Oct →
anubis13–100.0311%5 Oct →
dust212–12-0.0020%3 Oct →
mirage11–13-0.0315%3 Oct →
anubis6–130.0715%3 Oct →
mirage7–13-0.0211%2 Oct →
mirage13–40.1511%2 Oct →
mirage13–4-0.0011%1 Oct →
dust213–70.1018%1 Oct →
mirage13–70.0622%30 Sept →
cache13–7-0.0224%30 Sept →
dust26–13-0.097%30 Sept →
mirage13–20.0914%30 Sept →
inferno13–80.0213%28 Sept →
nuke13–70.048%28 Sept →
mirage8–13-0.048%28 Sept →
dust25–130.0112%27 Sept →
inferno13–40.029%27 Sept →
mirage11–130.0315%27 Sept →
dust26–130.0016%27 Sept →
cache15–150.0312%24 Sept →
inferno13–110.0321%21 Sept →
cache5–13-0.0215%21 Sept →
inferno8–130.0122%21 Sept →
anubis13–110.0513%21 Sept →
inferno13–90.0221%20 Sept →
inferno6–13-0.0410%20 Sept →
ancient12–160.0216%20 Sept →
mirage7–13-0.0418%18 Sept →
anubis14–160.0313%18 Sept →
inferno13–11-0.0111%18 Sept →
dust24–13-0.0717%15 Sept →
inferno6–13-0.0912%15 Sept →
inferno4–120.0015%15 Sept →
cache13–50.0712%13 Sept →
anubis16–130.0522%13 Sept →
nuke13–11-0.0213%12 Sept →
nuke13–110.0410%12 Sept →
cache15–15-0.0016%12 Sept →
anubis13–100.017%10 Sept →
inferno8–13-0.0326%9 Sept →
mirage7–13-0.0310%8 Sept →
mirage13–10.1617%8 Sept →
dust24–130.0619%8 Sept →
ancient11–13-0.0217%8 Sept →
nuke13–50.0618%6 Sept →
dust213–9-0.0216%6 Sept →
mirage8–13-0.0316%6 Sept →
inferno13–80.057%3 Sept →
inferno13–80.0515%3 Sept →
cache13–60.0223%2 Sept →
mirage10–13-0.0220%2 Sept →
anubis13–80.0315%2 Sept →
mirage11–130.0119%1 Sept →
anubis7–130.0219%1 Sept →
ancient5–130.0218%1 Sept →
mirage9–13-0.0213%31 Aug →
inferno13–80.0516%31 Aug →
dust213–100.0824%31 Aug →
mirage13–30.1023%30 Aug →
anubis4–13-0.0811%25 Aug →
cache14–16-0.0313%25 Aug →
ancient7–13-0.0113%25 Aug →
ancient10–13-0.1011%21 Aug →
cache7–100.0325%21 Aug →
cache8–13-0.0319%21 Aug →
dust216–140.0319%19 Aug →
mirage13–30.024%19 Aug →
anubis13–40.0813%19 Aug →
inferno13–10-0.0419%17 Aug →
dust29–13-0.0027%17 Aug →
dust213–60.0224%17 Aug →
mirage9–130.0120%16 Aug →
nuke10–130.067%16 Aug →
inferno13–5-0.0118%16 Aug →
anubis9–13-0.0414%16 Aug →
inferno13–9-0.0417%11 Aug →
dust26–13-0.0328%11 Aug →
inferno13–90.0316%10 Aug →
ancient7–13-0.0914%10 Aug →
inferno13–60.0514%10 Aug →
ancient5–13-0.067%15 Jul →
cache13–110.0321%14 Jul →
inferno16–130.0320%14 Jul →
anubis13–60.0124%14 Jul →
inferno6–13-0.0011%14 Jul →

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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