Thorfour

Thorfour — CS2 Stats

NL76561198060161129[U:1:99895401]Steam profile ↗✓ No bans

1,038Tracked matches53%Win rate2022Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating18,681Top 50% of 201,122 CSDB-tracked playersPurple band · top ~13.7% of ranked players (population est.)
CSDB Leaderboard#98286 of 247961 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Jul 2026 (93 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: 18,681 -1,259 18 Feb – 1 Jul · 9 days played
18,68120,896peak 20,89618 Feb1 Jul
21,015Peak Premier in tracked matches
1,888Highest Faceit ELO seen on CSDB
48Days played since 2026-02-18

Faceit ELO

  • At peak — 1,888
  • Next: Level 10 at 2,001 — 113 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 2,215 below peak (20,896)
  • Next: Pink band at 20,000 — 1,319 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGThorfourPREMIER18,681 · Purple bandPEAK ELO1,888csdb.gg/stats

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Performance scores

Aim71
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWLLWWWLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +6.7pp headshot accuracy · +26ms 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 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 684ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 631ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

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 (+2.2 against its own average).

Aim7.1
Utility6.0
Positioning4.2
Opening Duels1.9
Clutch3.0

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 45% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 633ms 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
Positioning4.2
Utility6.0
Mechanics7.5
Opening Duels1.8
Win Impact6.1

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time629ms+1ms
first ⅓ avg 628ms → last ⅓ avg 629ms
Headshot accuracy17.1%−4.4%
first ⅓ avg 21.4% → last ⅓ avg 17.1%

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

0.10Best match rating · 13–9 · anubis, 27 May →
45%Best headshot accuracy · 0–13 · ancient, 10 May →
453msFastest reaction time · 13–7 · cache, 17 May →
13–2Biggest win · dust2, 13 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
12–12In matches decided by ≤2 rounds
19Overtime games

Map breakdown

ancientBest map · 75% over 12infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2615–1158%-0.00
mirageC2611–1542%-0.01
ancientS129–375%-0.04
nukeA127–558%-0.01
infernoC114–736%0.00
cacheB63–350%-0.02
overpass—42–250%-0.00
anubis—31–233%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,534Matches
52%Win rate
1.02Avg K/D
74.3ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust27253%1.0414.3
Mirage7145%0.9814.9
Inferno4248%1.0015.6
Ancient3358%0.9515.2
Anubis2245%1.0417.1
Nuke1968%1.1514.7
Cache1747%0.9414.5
Overpass956%0.9513.6

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.

17.8%Headshot accuracy
37.9%Accuracy (enemy spotted)
41.0%Spray accuracy
84.0%Counter-strafing
11.4°Preaim
633msReaction time
23.2%T opening success
44.8%CT opening success
0.64Enemies flashed / flash
5.0%Flash assists
6.61HE damage / grenade
17.24Flashes / 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 23.2149% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–13-0.0032%6 Aug →
dust213–50.0819%5 Aug →
mirage5–13-0.0313%5 Aug →
mirage6–13-0.0113%22 Jul →
mirage13–90.0115%20 Jul →
dust213–40.0923%20 Jul →
nuke13–10-0.0030%15 Jul →
mirage11–130.0323%15 Jul →
nuke14–160.0015%13 Jul →
dust213–100.0114%13 Jul →
dust213–2-0.0112%13 Jul →
inferno10–13-0.049%4 Jul →
mirage5–13-0.027%2 Jul →
inferno13–110.0316%1 Jul →
ancient13–100.0211%1 Jul →
dust213–4-0.0714%1 Jul →
ancient13–11-0.0410%22 Jun →
mirage16–140.0418%22 Jun →
dust28–130.0118%19 Jun →
dust28–130.0516%16 Jun →
mirage13–3-0.0319%13 Jun →
anubis13–160.0120%13 Jun →
mirage16–19-0.0418%12 Jun →
dust213–9-0.098%11 Jun →
ancient16–13-0.0318%11 Jun →
anubis7–13-0.0326%10 Jun →
dust29–130.0217%9 Jun →
inferno8–130.0718%7 Jun →
mirage16–130.0326%7 Jun →
cache14–16-0.0123%3 Jun →
cache13–10-0.0515%31 May →
dust213–11-0.0311%31 May →
mirage11–13-0.0215%30 May →
mirage13–40.0419%30 May →
dust25–13-0.0332%27 May →
anubis13–90.1011%27 May →
ancient11–130.0317%26 May →
dust213–50.0418%26 May →
dust25–13-0.0313%26 May →
dust28–130.0025%25 May →
nuke11–13-0.0316%25 May →
inferno13–10-0.005%23 May →
inferno7–130.016%22 May →
mirage20–22-0.0320%20 May →
inferno9–13-0.0214%20 May →
mirage13–7-0.0322%19 May →
dust213–6-0.0016%19 May →
nuke13–20.0827%18 May →
mirage13–16-0.0417%18 May →
dust213–5-0.0516%18 May →
mirage5–13-0.0313%18 May →
mirage9–13-0.036%17 May →
cache13–70.0833%17 May →
inferno6–130.0224%14 May →
dust23–13-0.0421%13 May →
cache8–13-0.0416%13 May →
nuke14–16-0.027%13 May →
overpass13–20.0318%13 May →
nuke13–10-0.0118%12 May →
mirage16–13-0.0015%12 May →
ancient13–8-0.0013%12 May →
mirage13–11-0.0223%11 May →
dust213–70.0125%11 May →
cache13–5-0.069%10 May →
nuke19–17-0.0312%10 May →
ancient0–13-0.1245%10 May →
ancient13–11-0.0225%10 May →
inferno13–30.049%10 May →
dust27–13-0.0128%9 May →
nuke9–13-0.0710%9 May →
mirage13–90.0514%9 May →
nuke13–80.0115%7 May →
mirage11–13-0.0521%7 May →
cache7–13-0.0622%7 May →
dust213–50.0334%7 May →
dust22–13-0.0736%24 Apr →
mirage14–16-0.0120%23 Mar →
overpass6–13-0.0427%23 Mar →
ancient13–11-0.1416%10 Mar →
ancient19–17-0.0315%6 Mar →
inferno9–130.0116%4 Mar →
nuke13–11-0.0321%26 Feb →
overpass15–15-0.0124%26 Feb →
dust213–70.0927%26 Feb →
inferno14–16-0.0612%26 Feb →
ancient13–10-0.0317%26 Feb →
ancient5–13-0.0633%25 Feb →
mirage2–13-0.0421%25 Feb →
dust210–13-0.0627%25 Feb →
nuke14–16-0.0022%24 Feb →
dust213–60.0119%24 Feb →
mirage13–10-0.0420%24 Feb →
mirage7–130.0224%24 Feb →
mirage1–13-0.0738%22 Feb →
dust213–11-0.0519%22 Feb →
overpass13–60.0116%19 Feb →
mirage13–80.0331%19 Feb →
dust28–130.0120%19 Feb →
inferno16–13-0.0419%18 Feb →
nuke13–110.0016%18 Feb →

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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