ALIG

ALIG — CS2 Stats

GB76561197960933814[U:1:668086]Steam profile ↗✓ No bans

717Tracked matches41%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating26,583Top 5% of 215,558 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#9547 of 261667 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 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: 26,583 +7,087 20 Feb – 9 Nov · 40 days played
19,49627,528peak 27,52820 Feb9 Nov
27,631Peak Premier in tracked matches
50Days played since 2026-02-17

Premier CS Rating

  • 945 below peak (27,528)
  • -945 over 30 days · declining
  • -606 over 90 days
  • Next: Gold band at 30,000 — 3,417 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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

Share this profile

CSDB.GGALIGPREMIER26,583 · Red bandcsdb.gg/stats

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Performance scores

Aim78
Positioning50
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLLLLWWWWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.2pp headshot accuracy · +91ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 555ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 589ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 543ms

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 (+1.9 against its own average).

Aim7.8
Utility6.9
Positioning5.0
Opening Duels2.2
Clutch6.0

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 558ms 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

Aim7.8
Positioning5.0
Utility6.9
Mechanics7.3
Opening Duels2.4
Win Impact2.1

Composite 6.2/10 (Solid), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time560ms−75ms
first ⅓ avg 635ms → last ⅓ avg 560ms
Headshot accuracy23.5%+0.1%
first ⅓ avg 23.4% → last ⅓ avg 23.5%

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 · 13–5 · nuke, 18 May →
47%Best headshot accuracy · 4–13 · mirage, 2 Mar →
406msFastest reaction time · 13–8 · mirage, 19 Jul →
13–2Biggest win · mirage, 2 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
10–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 62% over 13nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%0.01
mirageA1810–856%-0.00
ancientB137–654%-0.01
cacheA138–562%0.00
infernoB126–650%0.00
nukeC104–640%0.03
anubis—44–0100%0.03
overpass—32–167%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,281Matches
54%Win rate
0.93Avg K/D
81.1ADR
47%Headshot %

Clutches & streaks

50%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust23959%1.1515.9
Mirage3259%1.0816.4
Inferno2055%1.0417.6
Nuke1354%1.1916.6
Ancient1136%0.9514.2
Cache967%1.0514.8
Anubis933%0.7713.1
Overpass786%1.0116.7

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.

23.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.8%Spray accuracy
83.0%Counter-strafing
9.4°Preaim
558msReaction time
33.8%T opening success
45.1%CT opening success
0.83Enemies flashed / flash
5.3%Flash assists
8.39HE damage / grenade
15.27Flashes / 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 33.7985% — below the 40% mark we flag

Spend your practice time on Nuke

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 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0813%9 Nov →
cache8–13-0.0432%8 Nov →
mirage6–13-0.0627%8 Nov →
dust28–130.0337%7 Nov →
inferno13–110.0025%7 Nov →
anubis13–7-0.0821%7 Nov →
cache13–3-0.0123%1 Nov →
inferno13–9-0.0119%1 Nov →
cache11–13-0.0524%31 Oct →
mirage6–13-0.0517%29 Aug →
dust213–5-0.098%29 Aug →
dust213–40.0433%20 Aug →
dust21–13-0.0517%20 Aug →
nuke3–13-0.0045%15 Aug →
dust215–15-0.0015%15 Aug →
dust211–13-0.0430%15 Aug →
mirage16–140.0128%15 Aug →
ancient4–13-0.0525%12 Aug →
inferno13–110.0422%12 Aug →
mirage5–13-0.0313%8 Aug →
mirage13–20.0416%2 Aug →
cache13–9-0.0219%2 Aug →
dust210–13-0.0325%2 Aug →
cache13–70.0427%2 Aug →
inferno7–130.0618%2 Aug →
dust26–130.0229%31 Jul →
cache7–13-0.0536%26 Jul →
cache10–13-0.0224%24 Jul →
inferno3–13-0.0418%24 Jul →
mirage13–80.0021%19 Jul →
mirage13–50.0920%18 Jul →
cache13–30.0532%18 Jul →
dust213–100.0418%18 Jul →
anubis13–30.0925%17 Jul →
mirage16–14-0.0715%17 Jul →
cache13–5-0.059%12 Jul →
cache7–130.0717%26 Jun →
dust213–100.0213%27 May →
inferno5–13-0.0223%26 May →
inferno17–19-0.0214%25 May →
mirage13–6-0.0712%25 May →
nuke7–13-0.0720%23 May →
ancient13–10-0.0316%19 May →
ancient16–14-0.0231%19 May →
nuke13–50.1320%18 May →
nuke8–130.0233%18 May →
dust24–13-0.0233%18 May →
cache13–110.0519%11 May →
dust210–130.0019%8 May →
nuke5–130.0129%8 May →
overpass13–2-0.0419%8 May →
cache16–130.0723%4 May →
dust213–50.0729%4 May →
cache13–70.0114%4 May →
nuke3–80.0610%26 Apr →
mirage13–8-0.0220%25 Apr →
dust213–80.0223%19 Apr →
dust28–130.0130%12 Apr →
dust213–80.0826%12 Apr →
dust23–130.0521%11 Apr →
dust24–9-0.0636%6 Apr →
overpass13–8-0.0220%6 Apr →
dust213–90.0521%5 Apr →
dust27–13-0.0126%4 Apr →
mirage13–50.0023%4 Apr →
dust213–6-0.0518%4 Apr →
anubis13–70.1121%29 Mar →
inferno11–130.0024%28 Mar →
dust213–80.1018%28 Mar →
ancient13–9-0.0317%27 Mar →
inferno8–13-0.0227%27 Mar →
ancient13–30.0513%26 Mar →
mirage13–90.0630%26 Mar →
inferno13–9-0.0313%23 Mar →
ancient9–13-0.0710%23 Mar →
dust213–11-0.0228%15 Mar →
ancient6–130.0126%14 Mar →
nuke16–140.0431%14 Mar →
dust213–6-0.0221%14 Mar →
mirage0–10-0.0713%7 Mar →
mirage4–130.0047%2 Mar →
ancient13–70.0919%2 Mar →
anubis16–14-0.0120%1 Mar →
ancient4–13-0.0422%1 Mar →
mirage15–150.0424%1 Mar →
dust24–130.0035%1 Mar →
inferno13–50.0529%1 Mar →
overpass5–13-0.0631%28 Feb →
inferno16–140.0132%28 Feb →
mirage9–13-0.038%28 Feb →
dust213–10-0.0135%28 Feb →
ancient16–120.0223%28 Feb →
nuke13–70.0819%21 Feb →
ancient8–13-0.0316%21 Feb →
nuke13–90.0417%20 Feb →
dust213–80.0625%20 Feb →
ancient13–90.0421%20 Feb →
mirage13–50.0122%20 Feb →
nuke6–130.0034%20 Feb →
mirage11–130.0722%17 Feb →

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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