Threnody

Threnody — CS2 Stats

PA76561199499894656[U:1:1539628928]Steam profile ↗✓ No bans

440Tracked matches66%Win rate2024Tracked since
864Hours in CS1Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 440 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,040 +1,712 20 Nov – 15 May · 19 days played
7,1739,789peak 9,78920 Nov15 May
Faceit ELO: 916 +0 14 Sept – 6 Nov · 5 observations
916916peak 91614 Sept6 Nov
9,815Peak Premier in tracked matches
916Highest Faceit ELO seen on CSDB
45Days played since 2025-11-20

Faceit ELO

  • At peak — 916
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 135 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-14
  • Level 3 first seen 2026-09-14

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 6 Nov 2026 and 15 Nov 2026.

Measured 6 Nov 2026 → 15 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

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.

Share this profile

CSDB.GGThrenody30 DAYS0 ELOPEAK ELO916csdb.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

Aim67
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLWWWLLWLW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +2.8pp headshot accuracy · −140ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 26%
  • Avg reaction 586ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 27%
  • Avg reaction 615ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 685ms

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 (+2.8 against its own average).

Aim6.7
Utility6.0
Positioning4.6
Opening Duels0.0
Clutch2.4

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

sh1ro

Plays most like sh1ro 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 35% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 672ms 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

Aim6.7
Positioning4.6
Utility6.0
Mechanics7.1
Opening Duels0.6
Win Impact10.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time682ms−19ms
first ⅓ avg 701ms → last ⅓ avg 682ms
Headshot accuracy25.9%+2.5%
first ⅓ avg 23.4% → last ⅓ avg 25.9%

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 · 9–2 · inferno, 18 Jul →
45%Best headshot accuracy · 13–2 · mirage, 5 Mar →
500msFastest reaction time · 13–6 · inferno, 25 Sept →
13–0Biggest win · nuke, 21 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 66% over 29nukeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2915–1452%0.03
mirageS2919–1066%0.03
infernoB147–750%0.07
overpassA74–357%0.05
anubisA74–357%0.03
nukeC73–443%0.05
ancientB63–350%0.04
train—10–10%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,942Lifetime kills
2.12K/D · Top 1% of tracked players
884Matches
44.9%Match win rate
74.7%Headshot % · Top 1% of tracked players
0.1%Shot accuracy
2,268MVPs
2,328Hours (in match)
592Bombs planted
324Bombs defused

Most-used weapons

Lifetime map wins

2,144dust2
1,048inferno
787nuke
309train
145vertigo
6ar_shoots
5ar_baggage

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

Faceit stats

Combat

180Matches
47%Win rate
1.22Avg K/D
81.6ADR
57%Headshot %

Clutches & streaks

32%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5747%1.2418.0
Dust24747%1.1516.4
Ancient2454%1.4919.0
Inferno1856%1.3917.2
Nuke1233%0.9215.9
Overpass812%0.8513.9
Train850%1.0214.5
Anubis650%1.2716.5

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.

25.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
31.9%Spray accuracy
82.1%Counter-strafing
9.9°Preaim
672msReaction time
16.7%T opening success
35.2%CT opening success
0.55Enemies flashed / flash
5.1%Flash assists
7.31HE damage / grenade
22.55Flashes / 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 16.7428% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.1428%25 Sept →
dust23–130.0420%25 Sept →
inferno13–60.1019%25 Sept →
mirage13–100.0634%22 Jul →
inferno9–20.1730%18 Jul →
dust210–130.0126%18 Jul →
mirage10–13-0.0325%9 Jul →
ancient13–80.0732%15 May →
dust221–25-0.0020%14 May →
overpass13–70.0838%14 May →
dust28–130.0128%20 Apr →
mirage16–140.0923%14 Apr →
mirage9–13-0.0123%14 Apr →
mirage13–9-0.0029%13 Apr →
mirage10–13-0.0714%12 Apr →
mirage13–6-0.0431%8 Apr →
dust212–16-0.0116%8 Apr →
dust213–40.0429%8 Apr →
dust213–100.0827%8 Apr →
anubis13–30.1426%6 Apr →
dust213–6-0.0521%5 Apr →
dust213–6-0.0027%3 Apr →
dust216–130.1027%2 Apr →
anubis8–13-0.0134%2 Apr →
anubis13–20.0730%2 Apr →
anubis10–13-0.0122%2 Apr →
overpass13–50.1131%26 Mar →
inferno13–6-0.0111%25 Mar →
inferno13–80.0733%22 Mar →
inferno15–150.0322%22 Mar →
dust211–130.0322%22 Mar →
nuke13–160.0330%22 Mar →
dust213–90.0726%22 Mar →
overpass11–130.0429%22 Mar →
dust26–13-0.0426%22 Mar →
mirage10–13-0.0412%22 Mar →
mirage13–110.0025%22 Mar →
ancient13–100.0021%19 Mar →
overpass13–90.0036%16 Mar →
inferno11–130.0125%16 Mar →
nuke13–100.0536%16 Mar →
mirage1–13-0.0219%16 Mar →
anubis13–100.0223%16 Mar →
mirage13–80.0518%13 Mar →
mirage8–130.0322%13 Mar →
dust24–13-0.0229%11 Mar →
inferno13–80.1318%11 Mar →
dust213–100.0635%11 Mar →
mirage11–13-0.0028%11 Mar →
mirage13–100.0434%11 Mar →
mirage11–130.0420%7 Mar →
inferno7–130.0830%7 Mar →
anubis6–13-0.0223%7 Mar →
dust25–13-0.0029%7 Mar →
mirage13–20.0845%5 Mar →
nuke7–12-0.0416%5 Mar →
dust213–8-0.0320%5 Mar →
inferno13–50.0618%5 Mar →
dust22–13-0.1213%5 Mar →
ancient6–130.0537%28 Feb →
dust213–80.0924%27 Feb →
inferno8–130.0522%27 Feb →
dust210–130.0925%27 Feb →
dust213–70.0628%27 Feb →
anubis16–130.0516%24 Feb →
ancient13–40.1026%23 Feb →
ancient14–16-0.0124%22 Feb →
mirage10–20.1029%21 Feb →
dust213–90.1019%21 Feb →
mirage13–50.1024%20 Feb →
inferno13–160.0419%20 Feb →
mirage13–30.1124%19 Feb →
inferno9–130.0723%19 Feb →
mirage13–100.0730%10 Feb →
dust211–13-0.0418%10 Feb →
nuke8–13-0.0036%6 Feb →
inferno11–130.0729%7 Jan →
inferno13–70.1221%6 Jan →
mirage5–13-0.0217%6 Jan →
dust212–120.1522%3 Jan →
mirage13–10-0.0219%27 Dec →
nuke13–00.1123%21 Dec →
train3–13-0.0020%21 Dec →
mirage3–13-0.0114%21 Dec →
mirage13–30.1027%21 Dec →
ancient11–130.0423%13 Dec →
overpass13–20.0620%13 Dec →
mirage16–140.0228%13 Dec →
mirage13–90.0530%12 Dec →
mirage13–80.0224%11 Dec →
dust27–00.0418%3 Dec →
mirage13–100.0419%3 Dec →
nuke13–110.1230%23 Nov →
overpass2–13-0.0126%23 Nov →
overpass6–130.0418%23 Nov →
dust213–80.0417%23 Nov →
nuke3–130.0419%23 Nov →
dust27–130.0723%23 Nov →
mirage16–140.0428%20 Nov →
dust213–40.0135%20 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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