ale

ale — CS2 Stats

76561197995532039[U:1:35266311]Steam profile ↗✓ No bans

3,019Tracked matches60%Win rate2020Tracked since
CSDB Rating7.9 StrongSupport
Premier CS Rating26,337Top 10% of 213,211 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11121 of 259937 tracked
FaceitLevel 10 · 2,541 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 26,337 → 26,337
0Faceit ELO · 2,541 → 2,541
+106Tracked matches · now 3,019
+6.7ppWin rate · 53.3% → 60.0%

Rating over time

Premier CS Rating: 26,337 +1,458 2 Apr – 20 Sept · 11 days played
24,87926,337peak 26,3372 Apr20 Sept
Faceit ELO: 2,541 +0 3 Sept – 20 Sept · 2 observations
2,5412,541peak 2,5413 Sept20 Sept
26,895Peak Premier in tracked matches
2,541Highest Faceit ELO seen on CSDB
50Days played since 2026-03-22

Faceit ELO

  • At peak — 2,541
  • Next: 3,000 ELO at 3,000 — 459 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-03
  • Level 10 first seen 2026-09-03

Premier CS Rating

  • At peak — 26,337
  • Next: Gold band at 30,000 — 3,663 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink 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. 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.GGaleFACEITLevel 10 · 2,541 ELOSTANDINGTop 12.4% of rankedPREMIER26,337 · Red bandPEAK ELO2,541csdb.gg/stats

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Performance scores

Aim89
Positioning67
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWWWLLWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.5pp headshot accuracy · +41ms reaction

Win rate +10pp 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 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 483ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 502ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 481ms

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 (+1.7 against its own average).

Aim8.9
Utility7.4
Positioning6.7
Opening Duels5.5
Clutch3.2

Sharp aimerStrong CT-side openerEffective 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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning6.7
Utility7.4
Mechanics6.7
Opening Duels5.3
Win Impact8.3

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time485ms−72ms
first ⅓ avg 557ms → last ⅓ avg 485ms
Headshot accuracy17.7%−3.6%
first ⅓ avg 21.3% → last ⅓ avg 17.7%

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 · cache, 10 May →
38%Best headshot accuracy · 13–2 · mirage, 11 Apr →
352msFastest reaction time · 13–11 · anubis, 6 Sept →
13–1Biggest win · dust2, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 14infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA1811–761%0.04
ancientS1711–665%0.04
mirageB157–847%0.00
anubisS1410–471%0.01
dust2A138–562%0.01
cacheB115–645%0.00
overpassS64–267%-0.01
infernoC52–340%0.01
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,401Matches
52%Win rate
1.15Avg K/D
79.3ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke27661%1.2216.4
Ancient26146%1.0415.4
Anubis23658%1.1616.2
Mirage18747%1.0714.9
Inferno16349%1.1015.7
Dust213248%1.0414.8
Train5652%1.0214.5
Cache4553%1.1116.2

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.

17.6%Headshot accuracy
39.4%Accuracy (enemy spotted)
40.8%Spray accuracy
80.2%Counter-strafing
7.7°Preaim
468msReaction time
39.2%T opening success
62.9%CT opening success
0.78Enemies flashed / flash
13.3%Flash assists
8.84HE damage / grenade
12.42Flashes / 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 39.1704% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–16-0.0012%3 Nov →
dust213–11-0.0410%29 Oct →
nuke13–5-0.0120%27 Oct →
ancient13–50.0921%25 Oct →
nuke9–130.0325%19 Oct →
inferno5–13-0.0421%6 Oct →
nuke13–50.1225%5 Oct →
anubis13–7-0.0113%4 Oct →
ancient13–80.0315%2 Oct →
mirage9–130.0013%2 Oct →
ancient13–40.1019%2 Oct →
nuke13–80.0829%30 Sept →
dust213–16-0.0518%28 Sept →
ancient13–50.0823%26 Sept →
cache11–13-0.0216%26 Sept →
dust213–90.0127%26 Sept →
mirage7–13-0.0212%15 Sept →
dust213–160.0415%14 Sept →
ancient10–130.0419%9 Sept →
dust213–10.0814%8 Sept →
inferno13–60.0417%8 Sept →
anubis13–80.037%8 Sept →
ancient4–130.0111%6 Sept →
anubis13–110.0414%6 Sept →
dust213–30.0214%4 Sept →
ancient13–9-0.0215%3 Sept →
ancient9–130.0123%2 Sept →
nuke13–30.0420%30 Aug →
inferno11–130.0329%26 Aug →
anubis13–110.0913%24 Aug →
cache13–90.047%22 Aug →
cache13–8-0.039%18 Aug →
cache7–13-0.0538%16 Aug →
cache14–16-0.0326%5 Aug →
cache6–13-0.0228%5 Aug →
mirage10–13-0.0411%6 Jun →
overpass13–100.0931%6 Jun →
mirage10–130.0623%6 Jun →
anubis11–13-0.0417%6 Jun →
ancient13–8-0.0214%6 Jun →
dust27–130.036%6 Jun →
mirage13–10-0.0117%6 Jun →
ancient13–30.1228%6 Jun →
dust212–16-0.0317%6 Jun →
anubis13–90.0825%6 Jun →
ancient13–70.0934%6 Jun →
cache13–10.0617%16 May →
mirage10–130.0320%16 May →
anubis13–110.0117%10 May →
inferno16–14-0.0117%10 May →
cache13–30.139%10 May →
cache5–13-0.0211%10 May →
mirage13–11-0.0317%5 May →
nuke8–13-0.0216%5 May →
ancient16–140.0510%5 May →
ancient10–13-0.0014%28 Apr →
overpass13–16-0.088%26 Apr →
mirage13–7-0.0011%26 Apr →
dust213–5-0.0617%26 Apr →
cache13–9-0.0221%26 Apr →
mirage13–9-0.0022%26 Apr →
cache4–13-0.0222%26 Apr →
anubis13–7-0.0419%26 Apr →
ancient13–4-0.0418%25 Apr →
overpass13–7-0.063%25 Apr →
overpass10–13-0.0121%25 Apr →
mirage11–13-0.0121%25 Apr →
anubis13–70.0211%24 Apr →
nuke13–40.1127%23 Apr →
dust215–150.0710%22 Apr →
nuke13–10-0.0213%21 Apr →
inferno12–160.0320%18 Apr →
mirage13–11-0.0027%18 Apr →
ancient8–130.0513%18 Apr →
nuke11–130.0627%18 Apr →
dust213–7-0.0125%14 Apr →
overpass13–8-0.0211%11 Apr →
nuke15–150.0031%11 Apr →
mirage13–20.1138%11 Apr →
dust213–30.1030%11 Apr →
nuke11–130.0424%6 Apr →
nuke13–70.0112%5 Apr →
mirage4–130.0426%5 Apr →
anubis10–13-0.0524%5 Apr →
nuke13–10.0417%4 Apr →
vertigo4–13-0.0411%4 Apr →
ancient13–90.0423%4 Apr →
nuke13–30.0332%4 Apr →
overpass9–20.0428%4 Apr →
mirage9–13-0.0521%4 Apr →
nuke10–130.0414%2 Apr →
dust213–50.0315%2 Apr →
mirage13–10-0.0028%2 Apr →
anubis13–90.0618%2 Apr →
anubis13–100.0217%1 Apr →
nuke10–130.0527%1 Apr →
ancient11–13-0.0113%31 Mar →
nuke13–20.1137%29 Mar →
nuke13–11-0.0320%24 Mar →
anubis5–13-0.0116%22 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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