strix

strix — CS2 Stats

DE76561198318888367[U:1:358622639]Steam profile ↗✓ No bans

1,214Tracked matches48%Win rate2021Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating20,000Top 50% of 201,820 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#79704 of 249356 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (3 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: 20,000 -930 17 Jul – 1 Oct · 32 days played
18,18621,098peak 21,09817 Jul1 Oct
Faceit ELO: 1,332 +0 30 Aug – 4 Sept · 3 observations
1,3321,332peak 1,33230 Aug4 Sept
21,434Peak Premier in tracked matches
1,332Highest Faceit ELO seen on CSDB
32Days played since 2026-07-17

Faceit ELO

  • At peak — 1,332
  • Next: Level 7 at 1,351 — 19 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-30
  • Level 5 first seen 2026-08-30

Premier CS Rating

  • 1,098 below peak (21,098)
  • -103 over 30 days · steady
  • -930 over 90 days
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple 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. 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.GGstrixPREMIER20,000 · Pink bandPEAK ELO1,332csdb.gg/stats

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Performance scores

Aim82
Positioning60
Utility36

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLWWLLLWLLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +1.9pp headshot accuracy · −2ms reaction

Win rate down 30pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 574ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.2
Utility3.6
Positioning6.0
Opening Duels4.2
Clutch4.8

Limited utility dependence

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 588ms 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

Aim8.2
Positioning6.0
Utility3.6
Mechanics8.1
Opening Duels5.9
Win Impact4.4

Composite 6.6/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time598ms−13ms
first ⅓ avg 611ms → last ⅓ avg 598ms
Headshot accuracy14.9%−2.8%
first ⅓ avg 17.7% → last ⅓ avg 14.9%

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 · 13–3 · inferno, 25 Sept →
34%Best headshot accuracy · 13–3 · cache, 19 Aug →
422msFastest reaction time · 13–16 · inferno, 28 Aug →
13–1Biggest win · mirage, 12 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 71% over 7nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2915–1452%-0.00
anubisA1810–856%0.02
dust2C135–838%-0.01
cacheB136–746%-0.01
nukeD123–925%-0.00
ancientC83–538%-0.03
mirageS75–271%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

150Matches
57%Win rate
1.12Avg K/D
91.4ADR
46%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2658%1.1115.9
Mirage2361%1.0717.9
Anubis2157%1.0916.9
Dust22065%1.2819.7
Train1457%1.0917.2
Overpass1250%1.3018.1
Nuke1136%1.0414.6
Inferno1070%0.9615.9

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.

15.7%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.1%Spray accuracy
86.3%Counter-strafing
6.9°Preaim
588msReaction time
55.0%T opening success
51.9%CT opening success
0.36Enemies flashed / flash
4.9%Flash assists
10.63HE damage / grenade
3.13Flashes / 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 0.3564 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–130.0224%1 Oct →
nuke13–60.089%1 Oct →
dust213–100.0822%1 Oct →
inferno7–13-0.025%1 Oct →
inferno8–130.0323%1 Oct →
inferno6–13-0.0516%30 Sept →
cache16–12-0.0224%30 Sept →
anubis7–13-0.028%29 Sept →
inferno7–13-0.0419%29 Sept →
mirage8–13-0.0113%29 Sept →
inferno16–14-0.0121%29 Sept →
dust23–13-0.0510%28 Sept →
dust213–100.0319%28 Sept →
cache12–12-0.0112%28 Sept →
nuke11–130.0115%27 Sept →
mirage16–14-0.0114%27 Sept →
inferno13–10-0.0316%27 Sept →
anubis13–100.008%27 Sept →
inferno13–11-0.0317%27 Sept →
anubis9–13-0.0113%26 Sept →
nuke13–9-0.0413%26 Sept →
inferno13–30.1810%25 Sept →
mirage13–8-0.0122%25 Sept →
anubis11–13-0.0120%23 Sept →
anubis6–130.0020%23 Sept →
inferno13–11-0.0013%23 Sept →
anubis8–130.0618%22 Sept →
nuke7–13-0.056%22 Sept →
ancient13–11-0.0510%22 Sept →
cache13–16-0.0321%21 Sept →
dust20–13-0.066%12 Sept →
dust213–80.0813%12 Sept →
mirage10–130.0813%12 Sept →
mirage13–10.1117%12 Sept →
inferno13–10-0.065%28 Aug →
anubis13–90.0218%28 Aug →
inferno13–16-0.0511%28 Aug →
mirage13–60.0521%28 Aug →
anubis13–100.0225%19 Aug →
cache13–20.0320%19 Aug →
cache13–30.0434%19 Aug →
mirage16–130.0014%18 Aug →
anubis9–13-0.0221%14 Aug →
nuke10–130.0514%14 Aug →
dust28–13-0.0816%11 Aug →
cache13–100.0126%11 Aug →
inferno6–13-0.0622%11 Aug →
ancient10–13-0.0313%8 Aug →
inferno5–130.0719%8 Aug →
cache13–9-0.0712%7 Aug →
dust211–13-0.0515%7 Aug →
anubis13–5-0.0213%7 Aug →
dust213–30.0311%7 Aug →
anubis13–40.0827%7 Aug →
ancient5–13-0.049%6 Aug →
anubis13–50.0214%6 Aug →
ancient6–130.0119%6 Aug →
inferno13–60.0931%6 Aug →
ancient11–130.0211%5 Aug →
nuke8–130.0016%5 Aug →
nuke8–13-0.0319%4 Aug →
inferno16–14-0.0120%4 Aug →
inferno13–9-0.0314%3 Aug →
cache15–15-0.0217%3 Aug →
ancient13–9-0.0310%3 Aug →
inferno10–13-0.0012%2 Aug →
inferno6–13-0.0610%1 Aug →
inferno13–10-0.0111%30 Jul →
anubis13–30.0613%30 Jul →
nuke4–13-0.139%30 Jul →
ancient13–9-0.0511%30 Jul →
inferno13–10.039%30 Jul →
dust28–130.0321%28 Jul →
anubis13–50.0419%28 Jul →
cache7–13-0.0124%27 Jul →
inferno13–90.0910%27 Jul →
dust26–13-0.0823%27 Jul →
anubis13–80.1123%27 Jul →
dust22–13-0.0520%27 Jul →
inferno8–130.0326%27 Jul →
anubis13–100.0119%26 Jul →
nuke16–140.0618%26 Jul →
cache7–13-0.0629%26 Jul →
inferno13–16-0.0419%23 Jul →
nuke10–13-0.0415%22 Jul →
anubis13–160.0314%22 Jul →
dust213–80.039%22 Jul →
cache15–150.0432%22 Jul →
inferno1–13-0.0625%22 Jul →
inferno16–13-0.0815%20 Jul →
ancient3–13-0.0814%20 Jul →
anubis10–130.0012%20 Jul →
cache10–13-0.0316%20 Jul →
inferno13–70.0318%17 Jul →
dust26–13-0.0313%17 Jul →
nuke15–150.0518%17 Jul →
inferno8–13-0.0419%17 Jul →
nuke3–13-0.0121%17 Jul →
inferno13–60.0221%17 Jul →
cache13–40.0017%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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