thankyouverymuch

thankyouverymuch — CS2 Stats

76561197972537065[U:1:12271337]Steam profile ↗✓ No bans

3,535Tracked matches54%Win rate2021Tracked since
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating10,630Blue band · top ~51.6% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (4 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: 10,630 -3,434 8 Aug – 3 Nov · 16 days played
10,29514,064peak 14,0648 Aug3 Nov
14,064Peak Premier in tracked matches
32Days played since 2026-08-08

Premier CS Rating

  • 3,434 below peak (14,064)
  • +64 over 30 days · steady
  • -3,434 over 90 days
  • Next: Purple band at 15,000 — 4,370 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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

Share this profile

CSDB.GGthankyouverymuchFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER10,630 · Blue bandcsdb.gg/stats

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Performance scores

Aim74
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

COLD54–41–5Last 10054%Win rateLTLWLLLWWT

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · +9ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 556ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 576ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 571ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim7.4
Utility4.5
Positioning5.1
Opening Duels1.8
Clutch5.4

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

iM

Plays most like iM 97% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning 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. 572ms 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

Aim7.4
Positioning5.1
Utility4.5
Mechanics7.7
Opening Duels2.1
Win Impact6.2

Composite 5.6/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time591ms−7ms
first ⅓ avg 599ms → last ⅓ avg 591ms
Headshot accuracy22.9%−1.0%
first ⅓ avg 23.9% → last ⅓ avg 22.9%

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

0.20Best match rating · 13–9 · overpass, 14 Aug →
54%Best headshot accuracy · 8–6 · rush_001, 6 Oct →
375msFastest reaction time · 13–9 · ancient, 3 Oct →
13–0Biggest win · overpass, 14 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 79% over 14infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS1511–473%0.03
nukeD144–1029%0.00
ancientS1411–379%0.02
dust2C94–544%0.03
anubisC83–538%0.02
vertigoS75–271%0.02
infernoD71–614%-0.00
cacheS64–267%0.07
trainB63–350%0.02
rush_001A53–260%0.04
officeA53–260%0.03
overpass—42–250%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

114Matches
46%Win rate
1.15Avg K/D
78.4ADR
56%Headshot %

Clutches & streaks

47%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2839%1.1214.0
Ancient2264%1.3217.3
Nuke1450%1.4313.3
Anubis1233%1.0016.3
Cache1050%1.0213.4
Dust21060%1.1915.3
Inferno1040%1.0314.9
Vertigo367%1.0418.0

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.

22.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.3%Spray accuracy
84.9%Counter-strafing
11.7°Preaim
572msReaction time
33.4%T opening success
43.5%CT opening success
0.41Enemies flashed / flash
8.7%Flash assists
8.59HE damage / grenade
6.11Flashes / 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 0.4116 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 33.4426% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–130.0126%3 Nov →
nuke15–15-0.0232%3 Nov →
vertigo0–5-0.060%1 Nov →
mirage13–60.0739%31 Oct →
anubis8–130.0432%27 Oct →
mirage10–13-0.0426%23 Oct →
dust29–13-0.0431%23 Oct →
anubis13–100.0125%11 Oct →
nuke13–70.0216%11 Oct →
cache15–15-0.0414%8 Oct →
ancient13–80.0220%6 Oct →
ancient13–100.0128%6 Oct →
rush_0018–60.1354%6 Oct →
rush_0010–4-0.1725%6 Oct →
nuke13–30.0426%5 Oct →
ancient13–100.0022%5 Oct →
mirage13–30.0228%5 Oct →
ancient13–9-0.059%3 Oct →
ancient11–13-0.0024%3 Oct →
nuke3–130.0213%3 Oct →
rush_0016–80.1122%3 Oct →
rush_0015–10.0115%3 Oct →
rush_0017–30.1418%3 Oct →
ancient13–1-0.0614%1 Oct →
ancient13–100.1121%30 Sept →
dust29–13-0.0329%25 Sept →
ancient9–130.0126%22 Sept →
ancient8–13-0.0711%21 Sept →
mirage13–100.0429%21 Sept →
nuke4–13-0.1013%21 Sept →
mirage11–130.0618%17 Sept →
cache13–70.1523%17 Sept →
anubis1–13-0.0326%17 Sept →
mirage13–5-0.0224%15 Sept →
ancient13–70.0516%15 Sept →
mirage13–10.0241%15 Sept →
inferno7–130.0211%14 Sept →
ancient13–70.0614%14 Sept →
mirage13–90.0218%14 Sept →
nuke9–130.0120%13 Sept →
ancient13–8-0.0123%13 Sept →
nuke13–10.0315%10 Sept →
anubis14–160.0128%10 Sept →
ancient16–120.0927%10 Sept →
inferno5–13-0.0519%10 Sept →
mirage3–13-0.0616%2 Sept →
inferno4–13-0.0128%20 Aug →
dust21–90.0122%20 Aug →
mirage13–80.0927%20 Aug →
office11–13-0.0330%17 Aug →
train13–10-0.0123%17 Aug →
mirage13–70.0126%17 Aug →
dust27–130.0813%17 Aug →
mirage13–60.1028%17 Aug →
dust27–13-0.0033%17 Aug →
cache13–60.1031%17 Aug →
nuke12–120.0424%17 Aug →
dust213–11-0.0133%17 Aug →
anubis13–80.0723%17 Aug →
nuke13–8-0.0215%16 Aug →
cache13–20.1626%16 Aug →
mirage1–130.0216%16 Aug →
dust213–40.0747%15 Aug →
vertigo12–120.0422%15 Aug →
office8–130.0010%15 Aug →
overpass11–130.1217%14 Aug →
overpass13–00.0628%14 Aug →
inferno9–130.0319%14 Aug →
train13–7-0.0221%14 Aug →
train3–13-0.0121%14 Aug →
overpass13–90.2021%14 Aug →
overpass0–4-0.0424%14 Aug →
inferno8–13-0.0228%13 Aug →
vertigo13–20.0824%13 Aug →
vertigo13–110.0124%13 Aug →
train13–100.1318%13 Aug →
office13–5-0.0118%13 Aug →
vertigo13–70.0123%13 Aug →
train6–130.0221%13 Aug →
ancient13–50.0828%12 Aug →
inferno8–130.0316%12 Aug →
nuke9–130.0250%12 Aug →
office13–40.0726%12 Aug →
vertigo13–60.0218%12 Aug →
nuke8–13-0.0514%11 Aug →
mirage13–8-0.0118%11 Aug →
nuke6–130.0727%11 Aug →
train12–120.0414%11 Aug →
cache13–70.0820%10 Aug →
office13–80.1431%10 Aug →
mirage13–40.1530%10 Aug →
dust213–20.0734%10 Aug →
nuke9–13-0.0330%10 Aug →
vertigo13–70.0538%10 Aug →
anubis1–13-0.039%10 Aug →
nuke14–16-0.0226%9 Aug →
anubis13–70.0618%9 Aug →
cache9–13-0.0124%9 Aug →
dust213–50.0937%8 Aug →
inferno13–11-0.0120%8 Aug →

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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