SupraMeister

SupraMeister — CS2 Stats

76561198447658631[U:1:487392903]Steam profile ↗✓ No bans

1,645Tracked matches62%Win rate2020Tracked since
2,743Hours in CS15Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,883Top 50% of 210,832 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#87258 of 257806 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). 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: 19,883 +1,079 14 Aug – 26 Oct · 41 days played
15,37719,975peak 19,97514 Aug26 Oct
19,999Peak Premier in tracked matches
44Days played since 2026-08-14

Premier CS Rating

  • 92 below peak (19,975)
  • +4,506 over 30 days · improving
  • Next: Pink band at 20,000 — 117 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.4%44.4%46.9%2.5% short
Shot accuracy10.3%11.9%13.0%2.7% short
Kill/death ratio0.991.031.080.09 short
Match win rate46.5%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGSupraMeisterPREMIER19,883 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning62
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWWLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.8pp headshot accuracy · −2ms 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 -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 502ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 535ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

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 (+2.1 against its own average).

Aim7.1
Utility4.5
Positioning6.2
Opening Duels3.1
Clutch2.6

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 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 37% on CT — first contacts on the defending side are being lost.

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
Positioning6.2
Utility4.5
Mechanics5.1
Opening Duels4.8
Win Impact9.0

Composite 6.2/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time534ms−90ms
first ⅓ avg 624ms → last ⅓ avg 534ms
Headshot accuracy21.4%+0.6%
first ⅓ avg 20.8% → last ⅓ avg 21.4%

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 · 6–1 · cache, 15 Sept →
42%Best headshot accuracy · 13–9 · cache, 2 Sept →
391msFastest reaction time · 2–13 · inferno, 15 Oct →
13–1Biggest win · anubis, 18 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 73% over 11mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB2413–1154%0.01
ancientC219–1243%0.02
mirageD155–1033%0.03
dust2A148–657%0.02
nukeS118–373%0.01
cacheB84–450%0.04
anubisS75–271%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,515Lifetime kills
0.99K/D
3,645Matches
46.5%Match win rate · Top 50% of Purple band
44.4%Headshot % · Top 50% of Purple band
10.3%Shot accuracy
11,269MVPs
1,363Hours (in match)
2,712Bombs planted
1,017Bombs defused

Most-used weapons

AK-4713,956
AWP13,733
SSG 081,821
FAMAS1,494
MAC-101,427
Knife1,338

Lifetime map wins

6,249inferno
2,437nuke
2,197dust2
1,108vertigo
782cbble
695train
73office
40lake

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

Faceit stats

Combat

3Matches
33%Win rate
0.77Avg K/D
71.0ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.7311.0
Anubis1100%0.7512.0
Dust210%0.8315.0

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.

22.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
36.3%Spray accuracy
72.9%Counter-strafing
9.6°Preaim
537msReaction time
61.4%T opening success
37.3%CT opening success
0.44Enemies flashed / flash
4.9%Flash assists
9.71HE damage / grenade
5.93Flashes / 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 0.4381 — 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 37.2565% — below the 40% mark we flag

Spend your practice time on Mirage

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 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0016%26 Oct →
nuke13–5-0.0425%26 Oct →
nuke16–13-0.0129%25 Oct →
mirage8–13-0.0519%25 Oct →
mirage13–100.0334%23 Oct →
mirage6–130.0023%23 Oct →
ancient8–130.0113%21 Oct →
nuke13–9-0.0418%21 Oct →
ancient11–00.0819%17 Oct →
dust25–13-0.0021%17 Oct →
dust213–6-0.0030%16 Oct →
mirage6–13-0.0121%15 Oct →
inferno2–13-0.0312%15 Oct →
inferno4–110.0332%15 Oct →
inferno13–4-0.0725%15 Oct →
ancient16–12-0.0514%14 Oct →
inferno4–130.0112%14 Oct →
inferno13–7-0.0410%14 Oct →
inferno13–70.0820%12 Oct →
ancient13–100.0731%11 Oct →
dust216–140.0725%11 Oct →
ancient16–120.0119%11 Oct →
inferno5–13-0.0429%11 Oct →
cache7–130.0018%10 Oct →
ancient12–12-0.0223%10 Oct →
cache13–100.0520%9 Oct →
mirage13–70.0738%9 Oct →
inferno13–20.1127%9 Oct →
inferno13–100.0720%9 Oct →
inferno13–90.0318%8 Oct →
mirage12–16-0.0021%6 Oct →
inferno13–9-0.0115%4 Oct →
dust213–90.0613%4 Oct →
mirage13–10-0.0216%4 Oct →
ancient13–7-0.0724%1 Oct →
mirage5–130.0323%1 Oct →
dust213–100.0913%1 Oct →
nuke13–60.0714%30 Sept →
inferno13–80.0334%26 Sept →
dust25–13-0.0620%26 Sept →
ancient14–16-0.0326%23 Sept →
ancient6–130.0323%21 Sept →
nuke11–13-0.0226%19 Sept →
anubis13–4-0.0321%19 Sept →
mirage13–90.1118%19 Sept →
mirage8–13-0.0238%18 Sept →
ancient10–60.0024%18 Sept →
anubis3–13-0.0227%15 Sept →
cache6–10.2021%15 Sept →
inferno16–130.0422%12 Sept →
ancient10–130.0424%12 Sept →
anubis13–90.058%12 Sept →
ancient10–13-0.0122%12 Sept →
ancient13–6-0.0238%10 Sept →
dust213–60.0636%10 Sept →
anubis13–6-0.0215%8 Sept →
inferno5–13-0.0118%7 Sept →
inferno6–13-0.0216%6 Sept →
mirage8–13-0.0012%5 Sept →
ancient14–160.0515%5 Sept →
mirage8–130.0818%4 Sept →
cache15–15-0.0216%4 Sept →
dust28–13-0.0114%4 Sept →
dust213–11-0.0618%4 Sept →
inferno9–13-0.0413%3 Sept →
inferno13–60.0312%3 Sept →
mirage13–160.0426%3 Sept →
dust213–20.0220%3 Sept →
anubis13–80.0224%2 Sept →
inferno10–13-0.0721%2 Sept →
cache13–90.0842%2 Sept →
inferno2–130.0325%2 Sept →
nuke10–130.0114%2 Sept →
cache13–6-0.0024%1 Sept →
mirage11–130.0928%1 Sept →
cache5–130.0227%31 Aug →
dust29–130.0927%31 Aug →
mirage13–30.0526%31 Aug →
inferno14–16-0.0318%29 Aug →
nuke13–9-0.0124%29 Aug →
inferno13–70.0819%25 Aug →
inferno9–13-0.0322%25 Aug →
ancient14–16-0.0418%25 Aug →
inferno13–60.0014%24 Aug →
cache15–150.0318%22 Aug →
dust213–11-0.0321%22 Aug →
inferno13–30.0122%22 Aug →
ancient13–100.107%21 Aug →
ancient15–150.056%21 Aug →
nuke13–90.0925%21 Aug →
nuke13–60.0023%20 Aug →
ancient6–130.0324%19 Aug →
ancient11–130.0120%18 Aug →
anubis2–13-0.0121%18 Aug →
dust212–16-0.0320%18 Aug →
nuke9–130.0120%18 Aug →
anubis13–10.0315%18 Aug →
dust210–130.0316%15 Aug →
ancient13–30.0919%15 Aug →
nuke13–3-0.0017%14 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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