Alex´iQ

Alex´iQ — CS2 Stats

DK76561199027530335[U:1:1067264607]Steam profile ↗✓ No bans

3,183Tracked matches31%Win rate2020Tracked since
5,753Hours in CS36Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating21,665Top 50% of 208,919 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#59677 of 255991 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (5 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: 21,665 +2,114 24 Jul – 17 Oct · 31 days played
19,20924,251peak 24,25124 Jul17 Oct
24,251Peak Premier in tracked matches
1,649Highest Faceit ELO seen on CSDB
43Days played since 2026-07-24

Premier CS Rating

  • 2,586 below peak (24,251)
  • -2,106 over 30 days · declining
  • +2,114 over 90 days
  • Next: Red band at 25,000 — 3,335 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate39.6%50.9%
Shot accuracy9.2%13.7%
Kill/death ratio1.101.09
Match win rate47.7%48.4%

Share this profile

CSDB.GGAlex´iQFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,665 · Pink bandPEAK ELO1,649csdb.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

Aim61
Positioning52
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLWWLLWLLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −0.4pp headshot accuracy · −12ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 501ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 505ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 511ms

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 (+1.1 against its own average).

Aim6.1
Utility5.5
Positioning5.2
Opening Duels2.7
Clutch4.2

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 88% 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

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.1
Positioning5.2
Utility5.5
Mechanics3.1
Opening Duels4.4
Win Impact0.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time496ms−39ms
first ⅓ avg 534ms → last ⅓ avg 496ms
Headshot accuracy14.7%+0.5%
first ⅓ avg 14.2% → last ⅓ avg 14.7%

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

0.18Best match rating · 13–4 · ancient, 14 Aug →
100%Best headshot accuracy · 1–7 · ancient, 6 Sept →
281msFastest reaction time · 0–8 · inferno, 28 Aug →
13–1Biggest win · ancient, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 83% over 6dust2Weakest map · 27% over 22
MapGradePlayedRecordWin rateAvg rating
dust2D226–1627%0.01
infernoS2013–765%0.01
mirageB137–654%-0.01
anubisA116–555%-0.00
cacheC114–736%0.02
ancientB105–550%0.01
nukeS65–183%0.05
overpass—31–233%0.03
train—20–20%0.12
vertigo—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

152,961Lifetime kills
1.10K/D · Top 50% of Level 10 players
6,638Matches
47.7%Match win rate
39.6%Headshot %
9.2%Shot accuracy
19,356MVPs
3,287Hours (in match)
6,237Bombs planted
1,878Bombs defused

Most-used weapons

AK-4756,073
AWP15,616
FAMAS3,641
MAC-103,429
P903,339
Knife2,938

Lifetime map wins

19,900inferno
11,783dust2
5,553nuke
3,072vertigo
2,165train
613office
129italy
83cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,043Matches
51%Win rate
1.14Avg K/D
89.0ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno28048%1.1817.5
Ancient19550%1.1417.3
Mirage19251%1.0416.0
Dust214954%1.1817.8
Anubis14548%1.1016.6
Nuke12748%1.1817.2
Overpass7046%1.1716.5
Vertigo6042%1.1117.0

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.

15.0%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.5%Spray accuracy
64.0%Counter-strafing
8.2°Preaim
492msReaction time
42.0%T opening success
52.9%CT opening success
0.61Enemies flashed / flash
4.9%Flash assists
8.31HE damage / grenade
13.23Flashes / 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 14.9766% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0411%17 Oct →
dust28–13-0.0422%15 Oct →
ancient13–10-0.0217%15 Oct →
nuke13–110.0911%15 Oct →
dust24–130.028%15 Oct →
cache5–13-0.0014%15 Oct →
inferno13–20.1711%14 Oct →
dust210–130.0322%14 Oct →
mirage11–130.0513%13 Oct →
dust213–10-0.017%13 Oct →
mirage13–7-0.0423%12 Oct →
dust22–13-0.0927%12 Oct →
dust27–13-0.0018%12 Oct →
anubis6–13-0.0411%12 Oct →
mirage13–6-0.0313%12 Oct →
overpass7–130.0511%11 Oct →
train10–130.0911%11 Oct →
mirage1–13-0.016%7 Oct →
cache12–160.0412%7 Oct →
ancient1–13-0.0410%6 Oct →
dust25–13-0.0318%4 Oct →
inferno8–130.0718%4 Oct →
inferno12–12-0.028%2 Oct →
inferno22–200.0410%2 Oct →
cache7–130.1121%29 Sept →
dust29–13-0.0224%29 Sept →
dust214–16-0.0121%28 Sept →
vertigo13–8-0.039%28 Sept →
cache13–60.0223%28 Sept →
inferno4–130.0320%25 Sept →
mirage16–12-0.037%24 Sept →
dust213–9-0.028%24 Sept →
dust28–130.0218%22 Sept →
anubis13–7-0.0118%21 Sept →
cache5–13-0.0020%20 Sept →
dust27–130.1615%19 Sept →
overpass13–80.067%19 Sept →
inferno13–10-0.0812%14 Sept →
mirage5–13-0.094%14 Sept →
anubis5–13-0.100%13 Sept →
ancient13–10.0213%12 Sept →
anubis13–60.0214%12 Sept →
inferno13–10-0.0617%9 Sept →
anubis13–60.0014%6 Sept →
inferno7–10.0625%6 Sept →
ancient1–7-0.11100%6 Sept →
dust213–9-0.080%6 Sept →
nuke9–130.0017%6 Sept →
mirage13–30.0514%5 Sept →
inferno13–6-0.0015%5 Sept →
ancient13–110.0516%3 Sept →
inferno13–30.0817%3 Sept →
mirage13–9-0.0110%3 Sept →
dust28–130.0214%3 Sept →
anubis13–20.0223%2 Sept →
inferno13–90.019%29 Aug →
inferno0–8-0.019%28 Aug →
dust20–13-0.00100%22 Aug →
dust214–160.0213%22 Aug →
ancient6–130.0715%22 Aug →
inferno13–90.109%22 Aug →
dust214–160.0013%21 Aug →
nuke13–100.0528%21 Aug →
mirage5–130.0412%21 Aug →
mirage13–11-0.0313%20 Aug →
anubis15–15-0.0418%19 Aug →
cache13–60.0419%19 Aug →
dust24–13-0.0337%18 Aug →
cache7–13-0.0416%18 Aug →
dust213–80.1419%18 Aug →
train11–130.1514%15 Aug →
cache9–130.0612%14 Aug →
ancient13–40.187%14 Aug →
inferno8–130.0219%14 Aug →
mirage6–13-0.0110%14 Aug →
overpass7–13-0.039%14 Aug →
inferno6–13-0.0410%14 Aug →
ancient5–13-0.0829%14 Aug →
inferno16–13-0.078%13 Aug →
anubis13–60.056%13 Aug →
inferno0–9-0.2513%13 Aug →
mirage16–130.0411%13 Aug →
inferno13–50.0122%11 Aug →
cache13–100.0612%11 Aug →
anubis16–130.1110%10 Aug →
ancient13–100.0614%10 Aug →
dust213–90.0319%10 Aug →
anubis11–13-0.0113%8 Aug →
cache5–13-0.0417%1 Aug →
inferno13–90.0917%1 Aug →
ancient10–13-0.065%1 Aug →
cache13–9-0.0213%31 Jul →
mirage9–13-0.0415%31 Jul →
vertigo8–130.0216%31 Jul →
dust213–50.0616%31 Jul →
nuke13–50.0611%25 Jul →
dust27–130.007%25 Jul →
inferno13–80.1218%24 Jul →
nuke13–80.0814%24 Jul →
nuke13–11-0.0011%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.