Thargor

Thargor — CS2 Stats

DE76561199020504816[U:1:1060239088]Steam profile ↗✓ No bans

2,876Tracked matches43%Win rate2021Tracked since
2,819Hours in CS3Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating19,472Top 50% of 200,982 CSDB-tracked playersPurple band · top ~10.6% of ranked players (population est.)
CSDB Leaderboard#88695 of 247887 tracked
FaceitLevel 5 · 1,130 ELOTop 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

−1241Premier CS Rating · 20,713 → 19,472

Rating over time

Premier CS Rating: 19,472 +169 16 Jul – 1 Oct · 15 days played
18,90221,996peak 21,99616 Jul1 Oct
22,380Peak Premier in tracked matches
1,130Highest Faceit ELO seen on CSDB
16Days played since 2026-07-16

Faceit ELO

  • At peak — 1,130
  • Next: Level 6 at 1,201 — 71 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,524 below peak (21,996)
  • -1,165 over 30 days · declining
  • +169 over 90 days
  • Next: Pink band at 20,000 — 528 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,636), 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 5 medianLevel 6 medianvs Level 6
Headshot rate43.0%43.8%44.8%1.8% short
Shot accuracy9.8%12.0%12.4%2.6% short
Kill/death ratio0.911.021.030.12 short
Match win rate41.5%44.7%45.2%3.7% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThargorFACEITLevel 5 · 1,130 ELOSTANDINGTop 67.6% of rankedPREMIER19,472 · Purple bandPEAK ELO1,130csdb.gg/stats

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Performance scores

Aim65
Positioning52
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLLLWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +3.5pp headshot accuracy · +19ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 625ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 621ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 612ms

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 (+1.7 against its own average).

Aim6.5
Utility5.0
Positioning5.2
Opening Duels2.2
Clutch1.8

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 595ms 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

Aim6.5
Positioning5.2
Utility5.0
Mechanics6.2
Opening Duels3.4
Win Impact2.6

Composite 5.3/10 (Developing), 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+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time600ms−10ms
first ⅓ avg 610ms → last ⅓ avg 600ms
Headshot accuracy18.1%−2.3%
first ⅓ avg 20.4% → last ⅓ avg 18.1%

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

0.18Best match rating · 9–5 · debris, 8 Aug →
43%Best headshot accuracy · 13–8 · inferno, 16 Jul →
422msFastest reaction time · 10–13 · dust2, 10 Sept →
13–1Biggest win · dust2, 10 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
9–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 62% over 13cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.01
dust2C167–944%-0.01
mirageA159–660%-0.00
nukeA138–562%-0.01
ancientC125–742%-0.02
cacheD93–633%-0.00
vertigoA74–357%-0.01
anubis—32–167%-0.01
debris—22–0100%0.08

Across the last 100 tracked matches.

Lifetime stats

85,375Lifetime kills
0.91K/D
5,030Matches
41.5%Match win rate
43.0%Headshot %
9.8%Shot accuracy
7,786MVPs
1,535Hours (in match)
3,521Bombs planted
809Bombs defused

Most-used weapons

AK-4733,017
AWP5,138
FAMAS3,478
MP92,139
MAC-101,647

Lifetime map wins

5,824nuke
3,650inferno
3,541vertigo
2,353dust2
968train
433office
219cbble
174italy

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

Faceit stats

Combat

152Matches
44%Win rate
1.06Avg K/D
78.8ADR
48%Headshot %

Clutches & streaks

29%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3743%0.9514.1
Dust22945%1.0314.3
Mirage2748%0.9614.6
Ancient1741%1.0114.5
Nuke1450%1.5113.9
Anubis944%1.0814.4
Cache540%0.9914.0
Vertigo475%2.0714.0

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.

18.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.5%Spray accuracy
77.8%Counter-strafing
10.7°Preaim
595msReaction time
50.4%T opening success
37.2%CT opening success
0.48Enemies flashed / flash
5.4%Flash assists
6.65HE damage / grenade
6.88Flashes / 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 0.477 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.2051% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust214–160.0224%1 Oct →
dust28–130.0013%1 Oct →
mirage3–13-0.0426%1 Oct →
nuke9–13-0.0313%1 Oct →
nuke13–80.0516%12 Sept →
dust28–13-0.0119%12 Sept →
inferno13–7-0.0132%12 Sept →
mirage13–90.0114%12 Sept →
mirage4–13-0.0326%12 Sept →
vertigo9–40.0918%12 Sept →
dust23–13-0.0220%11 Sept →
cache6–13-0.0411%11 Sept →
inferno15–150.0221%11 Sept →
ancient9–13-0.0111%11 Sept →
inferno13–8-0.0418%11 Sept →
nuke5–9-0.0315%11 Sept →
dust210–130.0721%10 Sept →
dust213–10.0316%10 Sept →
mirage13–100.0611%10 Sept →
nuke8–13-0.0122%10 Sept →
inferno8–130.0216%10 Sept →
nuke13–9-0.0412%10 Sept →
nuke9–13-0.0213%10 Sept →
dust213–70.0423%10 Sept →
inferno15–15-0.0314%10 Sept →
ancient5–13-0.0423%10 Sept →
cache14–16-0.0218%10 Sept →
vertigo9–50.0220%10 Sept →
inferno6–13-0.0419%7 Sept →
inferno13–10-0.038%7 Sept →
mirage13–110.0119%7 Sept →
ancient13–9-0.0611%7 Sept →
inferno13–70.0236%7 Sept →
inferno15–150.0215%7 Sept →
mirage3–13-0.0121%7 Sept →
mirage13–6-0.0218%7 Sept →
inferno13–80.0623%7 Sept →
inferno4–9-0.1813%7 Sept →
mirage5–13-0.0717%1 Sept →
inferno9–130.0219%1 Sept →
inferno13–9-0.0526%1 Sept →
nuke9–13-0.0211%1 Sept →
vertigo2–13-0.0517%1 Sept →
vertigo13–70.0217%1 Sept →
nuke13–9-0.0818%1 Sept →
cache13–50.0515%1 Sept →
dust22–13-0.0910%1 Sept →
inferno13–16-0.0215%1 Sept →
dust213–10-0.0120%1 Sept →
ancient13–80.0427%31 Aug →
dust26–13-0.0612%31 Aug →
ancient14–16-0.0113%31 Aug →
cache7–130.0113%31 Aug →
ancient13–4-0.0610%31 Aug →
inferno9–5-0.013%31 Aug →
nuke13–50.029%19 Aug →
dust213–16-0.0713%19 Aug →
mirage13–90.0220%19 Aug →
inferno19–170.0526%19 Aug →
inferno13–30.1028%19 Aug →
cache10–13-0.0423%19 Aug →
vertigo9–50.1030%19 Aug →
dust213–8-0.0236%18 Aug →
vertigo3–9-0.1412%18 Aug →
mirage10–130.0523%11 Aug →
mirage10–13-0.0515%11 Aug →
dust216–14-0.0219%11 Aug →
inferno1–13-0.039%11 Aug →
ancient6–13-0.0524%11 Aug →
inferno13–6-0.0119%10 Aug →
dust213–110.0523%10 Aug →
mirage13–11-0.0017%10 Aug →
inferno6–13-0.0119%10 Aug →
ancient15–15-0.0422%10 Aug →
nuke13–70.0130%10 Aug →
cache13–30.0213%8 Aug →
ancient13–60.0123%8 Aug →
ancient8–13-0.1014%8 Aug →
anubis13–7-0.0113%8 Aug →
mirage13–110.0121%8 Aug →
debris9–50.1830%8 Aug →
cache13–50.0221%7 Aug →
mirage13–11-0.0313%7 Aug →
ancient14–160.0126%7 Aug →
nuke13–70.0328%7 Aug →
ancient13–70.0127%7 Aug →
inferno2–9-0.0811%7 Aug →
anubis11–13-0.0129%6 Aug →
cache0–13-0.0328%6 Aug →
nuke13–110.0113%6 Aug →
vertigo1–9-0.1113%6 Aug →
inferno3–13-0.0810%5 Aug →
anubis13–90.0123%5 Aug →
dust29–13-0.0917%5 Aug →
mirage13–5-0.0015%5 Aug →
debris9–7-0.0121%5 Aug →
nuke13–7-0.0113%16 Jul →
dust213–20.0323%16 Jul →
cache8–130.0126%16 Jul →
inferno13–80.0143%16 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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