tyxo

tyxo — CS2 Stats

DE76561198167515538[U:1:207249810]Steam profile ↗✓ No bans

1,146Tracked matches43%Win rate2020Tracked since
5,073Hours in CS3Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating22,131Top 50% of 212,133 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#54503 of 259106 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 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: 22,131 +855 21 Jun – 25 Oct · 18 days played
20,72324,882peak 24,88221 Jun25 Oct
25,119Peak Premier in tracked matches
28Days played since 2026-06-17

Premier CS Rating

  • 2,751 below peak (24,882)
  • +328 over 30 days · steady
  • -1,806 over 90 days
  • Next: Red band at 25,000 — 2,869 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate29.9%46.9%49.3%19.4% short
Shot accuracy19.3%13.0%13.4%above
Kill/death ratio1.111.081.12meets
Match win rate43.1%46.7%48.5%5.4% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtyxoPREMIER22,131 · Pink bandcsdb.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

Aim71
Positioning67
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWWWWLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · −73ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 576ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 558ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

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 (+1.9 against its own average).

Aim7.1
Utility4.7
Positioning6.7
Opening Duels3.6
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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Areas to improve

Reaction time. 597ms 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

Aim7.1
Positioning6.7
Utility4.7
Mechanics6.0
Opening Duels4.3
Win Impact2.8

Composite 5.9/10 (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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time590ms−69ms
first ⅓ avg 659ms → last ⅓ avg 590ms
Headshot accuracy19.1%−3.4%
first ⅓ avg 22.5% → last ⅓ avg 19.1%

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

0.14Best match rating · 13–9 · nuke, 24 Jun →
58%Best headshot accuracy · 5–13 · mirage, 23 Jul →
438msFastest reaction time · 7–13 · inferno, 22 Jul →
13–1Biggest win · anubis, 21 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W4Current streak
10–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 64% over 14cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%0.01
dust2B2111–1052%0.00
infernoB1910–953%0.02
ancientA149–564%0.03
anubisA117–464%0.03
cacheC52–340%0.03
mirage—31–233%-0.02
overpass—22–0100%0.05
vertigo—11–0100%0.02
train—10–10%0.04

Across the last 100 tracked matches.

Lifetime stats

221,465Lifetime kills
1.11K/D · Top 50% of Pink band
6,457Matches
43.1%Match win rate
29.9%Headshot %
19.3%Shot accuracy · Top 5% of Pink band
19,451MVPs
2,745Hours (in match)
10,239Bombs planted
3,167Bombs defused

Most-used weapons

AK-47111,584
AWP20,204
P25010,295
Tec-93,156
UMP-452,337
Knife2,208

Lifetime map wins

10,551dust2
9,328inferno
4,363nuke
3,353train
3,177cbble
1,885vertigo
344office
192lake

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

Faceit stats

Combat

1,063Matches
53%Win rate
1.14Avg K/D
82.2ADR
47%Headshot %

Clutches & streaks

42%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno4852%1.1817.6
Nuke3962%1.3617.9
Ancient3447%1.2418.7
Dust23259%1.2319.3
Anubis1346%1.1914.5
Train1242%1.1916.8
Mirage922%0.9913.7
Cache667%1.4518.2

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.

18.7%Headshot accuracy
36.9%Accuracy (enemy spotted)
38.0%Spray accuracy
76.9%Counter-strafing
10.1°Preaim
597msReaction time
50.1%T opening success
44.6%CT opening success
0.56Enemies flashed / flash
6.3%Flash assists
8.64HE damage / grenade
7.78Flashes / match

Recommended for you

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–80.0315%25 Oct →
inferno13–80.0131%25 Oct →
anubis13–100.0422%18 Oct →
dust213–90.0223%18 Oct →
inferno6–13-0.0524%18 Oct →
cache13–8-0.0110%27 Sept →
nuke8–13-0.0220%27 Sept →
mirage6–13-0.0619%27 Sept →
inferno13–90.0224%27 Sept →
dust25–13-0.0021%24 Sept →
ancient5–13-0.0421%16 Sept →
nuke6–13-0.0811%16 Sept →
dust21–13-0.0729%16 Sept →
dust28–13-0.0418%14 Sept →
anubis13–110.0011%14 Sept →
nuke10–130.0112%14 Sept →
cache8–13-0.0038%31 Aug →
inferno13–40.0615%31 Aug →
dust213–60.0112%31 Aug →
inferno13–100.0722%30 Aug →
dust28–130.0320%30 Aug →
cache13–80.0215%11 Aug →
nuke13–11-0.0116%11 Aug →
dust213–110.0324%11 Aug →
nuke8–13-0.0617%11 Aug →
dust211–130.0113%11 Aug →
inferno8–130.0221%11 Aug →
nuke9–130.0516%8 Aug →
nuke10–130.0417%6 Aug →
anubis10–130.0011%6 Aug →
anubis13–40.0916%6 Aug →
dust216–13-0.0325%6 Aug →
inferno7–130.0023%6 Aug →
inferno13–5-0.0716%6 Aug →
ancient13–110.0224%5 Aug →
inferno5–13-0.0117%5 Aug →
inferno10–130.0517%5 Aug →
nuke13–9-0.029%23 Jul →
mirage5–130.0358%23 Jul →
inferno13–7-0.0036%23 Jul →
nuke11–130.0820%23 Jul →
nuke13–80.039%23 Jul →
anubis15–150.0330%22 Jul →
ancient16–140.0117%22 Jul →
dust210–13-0.0131%22 Jul →
cache14–160.0413%22 Jul →
anubis7–130.0627%22 Jul →
ancient12–160.0216%22 Jul →
inferno7–130.0119%22 Jul →
nuke13–100.0215%14 Jul →
ancient3–13-0.0421%14 Jul →
nuke13–100.0322%12 Jul →
dust213–70.0122%12 Jul →
ancient13–60.0316%12 Jul →
nuke13–110.0122%10 Jul →
dust21–13-0.1021%8 Jul →
vertigo13–80.0232%7 Jul →
dust213–100.0525%7 Jul →
train10–130.0429%7 Jul →
inferno10–130.0320%5 Jul →
anubis10–13-0.0211%5 Jul →
nuke13–70.0335%5 Jul →
ancient16–130.0415%5 Jul →
inferno10–13-0.0520%5 Jul →
inferno13–80.0515%5 Jul →
dust26–40.0226%5 Jul →
ancient16–120.0619%2 Jul →
anubis13–50.0517%2 Jul →
ancient13–90.0512%2 Jul →
anubis13–11-0.0117%2 Jul →
dust213–10-0.0414%2 Jul →
inferno13–60.0422%2 Jul →
nuke13–60.0111%2 Jul →
ancient13–50.1116%1 Jul →
nuke3–13-0.0919%1 Jul →
ancient7–130.0732%1 Jul →
dust213–20.0532%1 Jul →
ancient13–40.0133%1 Jul →
cache12–120.0929%30 Jun →
nuke6–9-0.0118%30 Jun →
inferno6–90.0113%30 Jun →
anubis16–140.0112%28 Jun →
ancient13–90.0816%28 Jun →
nuke13–100.0740%28 Jun →
dust210–130.0328%28 Jun →
inferno16–120.1025%24 Jun →
dust213–160.0527%24 Jun →
nuke13–90.1426%24 Jun →
inferno13–70.1127%24 Jun →
nuke7–13-0.0629%24 Jun →
nuke9–3-0.0244%24 Jun →
nuke11–130.0024%22 Jun →
ancient11–13-0.0224%22 Jun →
dust215–150.0319%22 Jun →
overpass13–110.0618%22 Jun →
mirage16–13-0.0323%21 Jun →
anubis13–10.0316%21 Jun →
dust213–4-0.0023%21 Jun →
nuke4–9-0.0026%17 Jun →
overpass9–40.0513%17 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.