Thor1nx

Thor1nx — CS2 Stats

76561199099006509[U:1:1138740781]Steam profile ↗✓ No bans

1,566Tracked matches67%Win rate2024Tracked since
2,007Hours in CS37Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating12,130Blue band · top ~43.6% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (2 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: 12,130 +485 8 Nov – 9 Nov · 2 days played
11,64512,130peak 12,1308 Nov9 Nov
12,130Peak Premier in tracked matches
35Days played since 2026-09-02

Premier CS Rating

  • At peak — 12,130
  • Next: Purple band at 15,000 — 2,870 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate24.6%42.0%44.4%19.8% short
Shot accuracy6.7%9.6%11.9%5.2% short
Kill/death ratio1.210.981.03above
Match win rate50.9%43.8%45.2%above

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

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

Share this profile

CSDB.GGThor1nxPREMIER12,130 · Blue bandcsdb.gg/stats

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Performance scores

Aim78
Positioning63
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY58–30–12Last 10058%Win rateLWWLWLTWWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −2.5pp headshot accuracy · −14ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 455ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 431ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 438ms

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 (+2.2 against its own average).

Aim7.8
Utility3.5
Positioning6.3
Opening Duels6.1
Clutch0.4

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

Counter-strafing. Only 58% 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

Aim7.8
Positioning6.3
Utility3.5
Mechanics1.7
Opening Duels6.8
Win Impact10.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time459ms−52ms
first ⅓ avg 511ms → last ⅓ avg 459ms
Headshot accuracy14.9%−6.4%
first ⅓ avg 21.2% → 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

0.17Best match rating · 8–0 · inferno, 25 Oct →
100%Best headshot accuracy · 4–0 · overpass, 16 Oct →
344msFastest reaction time · 6–13 · inferno, 9 Nov →
13–0Biggest win · train, 28 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 71% over 7nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%0.01
dust2A1810–856%0.02
infernoS1711–665%0.04
ancientB84–450%0.05
officeS75–271%0.04
trainB63–350%0.01
anubisA53–260%0.01
nukeC52–340%0.02
overpass—44–0100%0.02
vertigo—44–0100%0.08
cache—11–0100%0.08
fachwerk—10–10%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

52,345Lifetime kills
1.21K/D · Top 25% of Blue band
3,289Matches
50.9%Match win rate · Top 10% of Blue band
24.6%Headshot %
6.7%Shot accuracy
5,959MVPs
1,206Hours (in match)
2,565Bombs planted
787Bombs defused

Most-used weapons

Lifetime map wins

4,965dust2
4,807inferno
2,544nuke
1,479vertigo
1,038office
452train
61italy
11ar_shoots

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

Faceit stats

Combat

68Matches
50%Win rate
0.90Avg K/D
61.3ADR
32%Headshot %

Clutches & streaks

22%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2148%1.1111.4
Dust21553%0.9112.9
Anubis1346%0.7610.2
Inferno560%0.8711.6
Vertigo425%0.569.0
Nuke475%0.7711.3
Ancient250%0.8611.5
Train1100%1.2520.0

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.

14.2%Headshot accuracy
40.7%Accuracy (enemy spotted)
40.9%Spray accuracy
57.8%Counter-strafing
7.7°Preaim
457msReaction time
50.7%T opening success
63.6%CT opening success
0.50Enemies flashed / flash
1.9%Flash assists
5.68HE damage / grenade
5.03Flashes / 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 14.1582% — below the 15% mark we flag

    Aim Training →
  2. 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 0.499 — 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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
office11–130.038%10 Nov →
overpass13–11-0.010%10 Nov →
inferno13–10-0.008%10 Nov →
mirage2–130.0927%9 Nov →
anubis13–90.0919%9 Nov →
inferno6–130.0211%9 Nov →
ancient12–120.0410%9 Nov →
dust213–40.0423%9 Nov →
inferno13–60.006%9 Nov →
anubis13–20.067%8 Nov →
nuke13–70.036%8 Nov →
mirage13–100.0013%8 Nov →
anubis13–9-0.017%8 Nov →
dust210–130.0914%7 Nov →
ancient12–120.1114%7 Nov →
cache13–70.0838%7 Nov →
nuke12–120.1316%7 Nov →
train7–130.0116%7 Nov →
dust213–6-0.046%7 Nov →
inferno13–70.0015%6 Nov →
ancient10–130.0716%6 Nov →
dust213–10.0730%6 Nov →
nuke13–6-0.0223%6 Nov →
overpass13–110.048%6 Nov →
anubis8–13-0.0316%6 Nov →
inferno11–130.0317%5 Nov →
office13–50.0521%5 Nov →
dust213–90.0616%5 Nov →
ancient13–110.0510%5 Nov →
train8–13-0.0118%4 Nov →
vertigo13–70.1520%4 Nov →
inferno13–70.1317%4 Nov →
mirage13–3-0.0114%4 Nov →
dust29–13-0.037%4 Nov →
mirage13–100.0511%2 Nov →
inferno13–90.0417%1 Nov →
dust213–80.049%1 Nov →
dust213–7-0.0429%1 Nov →
inferno11–130.0314%1 Nov →
mirage7–13-0.0230%1 Nov →
fachwerk12–12-0.0724%31 Oct →
overpass13–110.0613%31 Oct →
train7–13-0.0126%31 Oct →
mirage6–130.0142%31 Oct →
dust212–12-0.0110%31 Oct →
inferno13–110.0125%30 Oct →
vertigo13–50.0632%30 Oct →
ancient13–60.1123%30 Oct →
mirage13–30.0316%30 Oct →
inferno13–100.0318%29 Oct →
ancient7–13-0.049%29 Oct →
anubis12–12-0.0412%28 Oct →
office13–90.1232%28 Oct →
train13–50.0517%28 Oct →
train13–00.0115%28 Oct →
mirage13–30.0717%28 Oct →
inferno13–110.0219%28 Oct →
mirage13–70.027%25 Oct →
inferno15–150.086%25 Oct →
mirage13–4-0.037%25 Oct →
inferno8–00.1714%25 Oct →
dust212–12-0.0814%23 Oct →
mirage5–13-0.084%23 Oct →
mirage9–130.0410%18 Oct →
dust213–40.1221%18 Oct →
mirage4–13-0.130%17 Oct →
vertigo13–80.0729%16 Oct →
overpass4–0-0.02100%16 Oct →
dust212–120.0319%16 Oct →
mirage13–11-0.0127%14 Oct →
mirage13–30.1332%13 Oct →
ancient13–7-0.0214%11 Oct →
dust213–70.0013%11 Oct →
mirage10–13-0.0516%10 Oct →
mirage11–13-0.037%4 Oct →
mirage12–12-0.0231%2 Oct →
mirage15–150.0613%25 Sept →
mirage16–140.0713%19 Sept →
inferno13–80.0718%19 Sept →
train13–50.000%19 Sept →
vertigo13–80.040%19 Sept →
mirage8–13-0.0516%17 Sept →
ancient13–60.0650%16 Sept →
dust212–120.0225%16 Sept →
mirage8–130.0231%15 Sept →
dust213–60.0519%15 Sept →
inferno13–80.0116%13 Sept →
inferno5–130.0529%12 Sept →
office9–130.0121%10 Sept →
inferno10–130.0117%10 Sept →
mirage13–6-0.037%10 Sept →
dust213–20.080%9 Sept →
office13–10-0.0125%8 Sept →
mirage11–130.0421%8 Sept →
office13–0-0.0218%8 Sept →
dust211–130.0438%8 Sept →
dust26–13-0.074%8 Sept →
nuke8–130.0417%8 Sept →
nuke6–13-0.0627%4 Sept →
office13–60.0917%4 Sept →

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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