THR1LL

THR1LL — CS2 Stats

NL76561198978634817[U:1:1018369089]Steam profile ↗✓ No bans

2,293Tracked matches57%Win rate2020Tracked since
4,882Hours in CS3Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
FaceitLevel 10 · 2,337 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,337 → 2,337
+3Tracked matches · now 2,293
+3.3ppWin rate · 53.3% → 56.7%

Rating over time

Premier CS Rating: 22,643 +2,100 15 Nov – 21 Jun · 18 days played
20,54323,741peak 23,74115 Nov21 Jun
Faceit ELO: 2,337 +0 19 Sept – 26 Sept · 2 observations
2,3372,337peak 2,33719 Sept26 Sept
23,741Peak Premier in tracked matches
2,337Highest Faceit ELO seen on CSDB
46Days played since 2025-11-10

Faceit ELO

  • At peak — 2,337
  • Next: 2,500 ELO at 2,500 — 163 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-19
  • Level 9 first seen 2026-09-19

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.

Compare periods

Last 7 days vs previous 7

No matches recorded between 26 Sep 2026 and 2 Oct 2026.

Measured 26 Sep 2026 → 2 Oct 2026; previous 19 Sep 2026 → 26 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,274), 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 10 median
Headshot rate61.3%50.9%
Shot accuracy23.0%13.8%
Kill/death ratio0.911.09
Match win rate46.9%48.4%

Share this profile

CSDB.GGTHR1LLFACEITLevel 10 · 2,337 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,337csdb.gg/stats

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Performance scores

Aim88
Positioning54
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLWWWLWLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · −15ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 416ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 432ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 440ms

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 (+1.2 against its own average).

Aim8.8
Utility4.2
Positioning5.4
Opening Duels3.3
Clutch4.0

Sharp aimer

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 88% 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim8.8
Positioning5.4
Utility4.2
Mechanics7.2
Opening Duels2.8
Win Impact7.2

Composite 6.4/10 (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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time453ms−76ms
first ⅓ avg 530ms → last ⅓ avg 453ms
Headshot accuracy24.9%−0.2%
first ⅓ avg 25.1% → last ⅓ avg 24.9%

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

0.29Best match rating · 9–3 · inferno, 24 Nov →
50%Best headshot accuracy · 5–13 · ancient, 1 Feb →
344msFastest reaction time · 13–7 · anubis, 29 Sept →
13–0Biggest win · inferno, 13 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.03
nukeA1810–856%0.06
mirageB168–850%0.03
overpassA148–657%0.03
ancientB105–550%0.04
anubisS54–180%0.02
dust2C52–340%0.02
vertigo—42–250%0.03
train—32–167%0.08
cache—21–150%-0.02
rooftop—10–10%-0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

229,692Lifetime kills
0.91K/D
4,121Matches
46.9%Match win rate
61.3%Headshot % · Top 25% of Level 10 players
23.0%Shot accuracy · Top 1% of Level 10 players
13,614MVPs
7,875Hours (in match)
3,910Bombs planted
1,401Bombs defused

Most-used weapons

AK-4794,259
AWP34,147
Negev20,553
Knife2,335
P2501,804

Lifetime map wins

10,579inferno
3,996nuke
3,407dust2
3,332vertigo
2,667train
119lake
67cbble
43safehouse

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

Faceit stats

Combat

2,111Matches
52%Win rate
1.18Avg K/D
82.6ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6955%1.2017.1
Inferno4052%1.1916.4
Ancient3444%0.9915.9
Nuke2759%1.4019.6
Train2352%1.4416.6
Overpass2162%1.5017.9
Dust21844%0.9415.7
Anubis1850%1.1517.5

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.

24.3%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.2%Spray accuracy
82.4%Counter-strafing
8.6°Preaim
459msReaction time
42.0%T opening success
40.5%CT opening success
0.56Enemies flashed / flash
5.3%Flash assists
5.22HE damage / grenade
8.28Flashes / match

Recommended for you

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0422%29 Sept →
inferno13–90.0131%29 Sept →
anubis13–70.0812%29 Sept →
inferno13–10-0.0334%29 Aug →
inferno3–13-0.0219%17 Aug →
vertigo13–10-0.0023%17 Aug →
vertigo10–130.0729%16 Aug →
anubis13–10.0334%15 Aug →
inferno11–13-0.0615%15 Aug →
nuke13–100.0425%13 Aug →
inferno13–00.0525%13 Aug →
cache13–6-0.0218%13 Aug →
mirage13–30.0219%13 Aug →
inferno9–130.0826%7 Aug →
nuke19–160.0532%7 Aug →
vertigo13–110.0128%7 Aug →
nuke13–60.1123%6 Aug →
ancient3–120.0135%1 Aug →
overpass16–14-0.0520%21 Jun →
nuke10–130.0115%18 Jun →
cache9–13-0.0315%18 Jun →
nuke0–4-0.0533%16 Jun →
anubis9–130.0119%15 Jun →
nuke8–130.0933%15 Jun →
nuke13–10.1724%15 Jun →
overpass6–130.0439%15 Jun →
anubis13–11-0.0911%14 Jun →
overpass0–13-0.0747%12 Jun →
inferno13–110.0330%12 Jun →
nuke13–10-0.0115%11 Jun →
ancient8–130.0123%11 Jun →
vertigo10–130.0628%4 Jun →
ancient13–80.0720%4 Jun →
mirage1–13-0.0537%4 Jun →
mirage4–130.0029%29 May →
overpass10–130.0422%29 May →
ancient13–90.1133%29 May →
anubis13–30.0714%28 May →
inferno13–100.0724%25 May →
nuke7–100.0520%25 May →
mirage11–130.0613%25 May →
nuke13–110.1631%25 May →
inferno5–130.1128%25 May →
dust213–160.0115%21 May →
dust29–1-0.0230%21 May →
mirage13–40.0224%20 May →
nuke13–80.0420%20 May →
inferno9–60.0718%20 May →
ancient13–4-0.0129%20 May →
mirage6–130.0315%18 May →
nuke13–30.1132%17 May →
inferno11–13-0.0323%17 May →
inferno8–130.0025%1 May →
inferno13–80.0616%29 Apr →
ancient5–130.1450%1 Feb →
mirage13–8-0.0224%30 Jan →
overpass13–7-0.0319%22 Jan →
overpass11–130.0521%3 Jan →
mirage5–13-0.0121%1 Jan →
nuke6–90.0627%1 Jan →
overpass6–130.0422%29 Dec →
mirage8–13-0.0127%24 Dec →
overpass2–13-0.000%24 Dec →
overpass13–50.0328%22 Dec →
inferno7–90.0420%8 Dec →
overpass13–20.1417%8 Dec →
overpass16–120.1233%28 Nov →
inferno9–30.2939%24 Nov →
overpass13–70.0316%24 Nov →
train13–50.2123%23 Nov →
inferno9–7-0.0021%23 Nov →
inferno13–10-0.0324%22 Nov →
nuke13–60.0916%22 Nov →
inferno9–13-0.0116%20 Nov →
nuke9–130.1527%20 Nov →
mirage13–30.0824%19 Nov →
dust210–13-0.048%19 Nov →
inferno7–9-0.0530%18 Nov →
inferno16–140.0617%18 Nov →
mirage5–130.0232%18 Nov →
train13–90.0229%18 Nov →
dust26–130.0634%17 Nov →
mirage13–40.1033%17 Nov →
overpass13–40.0432%17 Nov →
mirage13–100.0523%16 Nov →
inferno11–130.0821%16 Nov →
nuke9–130.0127%16 Nov →
overpass13–100.0429%16 Nov →
nuke15–150.0721%16 Nov →
inferno9–60.0619%15 Nov →
rooftop4–9-0.1620%15 Nov →
mirage13–80.0730%15 Nov →
mirage12–120.0139%15 Nov →
nuke13–20.0028%15 Nov →
train7–130.0324%15 Nov →
ancient10–00.1018%15 Nov →
ancient13–16-0.0112%15 Nov →
ancient13–90.0350%10 Nov →
dust213–40.1023%10 Nov →
mirage13–40.0923%10 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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