ṮṮᴹᴮ Stamina †

ṮṮᴹᴮ Stamina † — CS2 Stats

76561199104260818[U:1:1143995090]Steam profile ↗✓ No bans

326Tracked matches50%Win rate2025Tracked since
238Hours in CS
CSDB Rating5.7 SolidPositional Player
Premier CS Rating16,614Purple band · top ~22% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 16,614 → 16,614
+1Tracked matches · now 326
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 16,614 -1,133 20 Jul – 17 Sept · 15 days played
16,61418,344peak 18,34420 Jul17 Sept
18,573Peak Premier in tracked matches
34Days played since 2026-07-13

Premier CS Rating

  • 1,730 below peak (18,344)
  • -659 over 30 days · declining
  • Next: Pink band at 20,000 — 3,386 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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 rate41.1%44.4%46.9%5.8% short
Shot accuracy6.5%11.9%13.0%6.4% short
Kill/death ratio1.271.031.08above
Match win rate43.5%45.2%46.7%3.2% short

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.GGṮṮᴹᴮ Stamina †PREMIER16,614 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning56
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY49–42–9Last 10049%Win rateWWTLLLLWWT

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +1.4pp headshot accuracy · +7ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 576ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

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 (+2.8 against its own average).

Aim7.3
Utility2.7
Positioning5.6
Opening Duels2.8
Clutch0.0

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

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

T-side openings. Opening success drops from 52% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim7.3
Positioning5.6
Utility2.7
Mechanics8.2
Opening Duels2.8
Win Impact5.0

Composite 5.7/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time620ms+21ms
first ⅓ avg 599ms → last ⅓ avg 620ms
Headshot accuracy15.1%−2.0%
first ⅓ avg 17.2% → last ⅓ avg 15.1%

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

0.16Best match rating · 9–3 · inferno, 21 Jul →
40%Best headshot accuracy · 9–1 · mirage, 19 Jul →
453msFastest reaction time · 7–9 · vertigo, 12 Aug →
13–0Biggest win · nuke, 21 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
2–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 78% over 9cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2212–1055%0.01
vertigoB2010–1050%0.02
mirageC187–1139%0.02
anubisB115–645%0.03
dust2S97–278%0.02
cacheD60–60%-0.00
ancientB63–350%-0.03
infernoB63–350%0.04
overpass—22–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

15,386Lifetime kills
1.27K/D · Top 25% of Purple band
731Matches
43.5%Match win rate
41.1%Headshot %
6.5%Shot accuracy
1,415MVPs
238Hours (in match)
607Bombs planted
250Bombs defused

Most-used weapons

Lifetime map wins

1,276nuke
1,070vertigo
533dust2
261inferno
37office
22train
1lake

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

Faceit stats

Combat

1Matches
0%Win rate
0.41Avg K/D
61.1ADR
56%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

15.2%Headshot accuracy
37.1%Accuracy (enemy spotted)
36.3%Spray accuracy
87.0%Counter-strafing
9.1°Preaim
622msReaction time
29.0%T opening success
52.1%CT opening success
0.52Enemies flashed / flash
2.1%Flash assists
7.84HE damage / grenade
1.70Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6951 — below the 4 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 28.9888% — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo13–90.0316%20 Sept →
anubis13–90.0413%16 Sept →
mirage15–150.0217%15 Sept →
vertigo4–13-0.0220%28 Aug →
cache7–130.0816%28 Aug →
nuke9–130.0418%24 Aug →
cache8–13-0.0419%24 Aug →
vertigo13–90.0814%24 Aug →
mirage13–100.0417%21 Aug →
nuke12–120.0514%21 Aug →
mirage7–13-0.0129%18 Aug →
vertigo7–130.0320%18 Aug →
vertigo7–9-0.0715%12 Aug →
nuke9–13-0.0310%11 Aug →
dust216–13-0.038%11 Aug →
vertigo13–10.1416%11 Aug →
mirage10–13-0.0515%10 Aug →
ancient9–13-0.0610%10 Aug →
mirage5–130.0110%10 Aug →
nuke13–110.0115%10 Aug →
nuke13–5-0.048%10 Aug →
vertigo13–60.0013%10 Aug →
anubis9–130.0413%8 Aug →
mirage13–60.0418%8 Aug →
nuke13–40.087%8 Aug →
vertigo7–130.0216%8 Aug →
nuke13–60.0231%7 Aug →
vertigo9–13-0.0311%7 Aug →
nuke13–100.0717%7 Aug →
anubis13–30.0814%7 Aug →
nuke11–13-0.0113%5 Aug →
vertigo13–90.028%5 Aug →
cache8–13-0.0218%4 Aug →
vertigo12–120.0319%4 Aug →
vertigo13–50.0214%3 Aug →
mirage7–13-0.0117%3 Aug →
vertigo11–130.0313%2 Aug →
dust28–130.0320%1 Aug →
vertigo5–13-0.0216%1 Aug →
vertigo13–5-0.0614%1 Aug →
anubis13–10-0.0011%31 Jul →
vertigo3–9-0.0513%31 Jul →
nuke13–90.0923%30 Jul →
vertigo13–90.1030%29 Jul →
nuke10–130.0028%28 Jul →
mirage13–80.0320%28 Jul →
mirage6–130.0911%27 Jul →
mirage13–100.0423%27 Jul →
anubis12–120.0523%27 Jul →
overpass13–40.0317%27 Jul →
inferno3–13-0.0727%26 Jul →
mirage13–30.147%26 Jul →
inferno8–130.0010%26 Jul →
mirage6–13-0.0113%26 Jul →
mirage4–13-0.0311%25 Jul →
anubis13–40.0216%25 Jul →
inferno9–4-0.0410%25 Jul →
nuke12–120.0312%25 Jul →
mirage6–13-0.049%25 Jul →
dust213–40.1110%24 Jul →
dust213–60.0213%24 Jul →
vertigo13–40.0319%24 Jul →
cache6–130.047%24 Jul →
nuke13–6-0.0411%24 Jul →
nuke13–10-0.026%24 Jul →
dust27–13-0.0711%23 Jul →
ancient13–40.0511%23 Jul →
vertigo13–60.0614%23 Jul →
nuke10–130.0219%22 Jul →
inferno13–60.1214%21 Jul →
overpass13–4-0.0111%21 Jul →
inferno9–30.1617%21 Jul →
dust213–100.049%21 Jul →
mirage13–110.0518%21 Jul →
anubis10–130.0125%21 Jul →
nuke13–0-0.0132%21 Jul →
ancient13–8-0.0722%21 Jul →
anubis1–130.020%21 Jul →
nuke13–70.047%20 Jul →
dust213–80.0112%20 Jul →
anubis2–130.0517%20 Jul →
anubis16–130.0612%20 Jul →
nuke12–120.0424%19 Jul →
mirage9–10.1040%19 Jul →
nuke13–8-0.0223%18 Jul →
anubis15–150.0115%18 Jul →
ancient13–5-0.0014%18 Jul →
nuke7–13-0.0618%18 Jul →
mirage14–16-0.058%18 Jul →
mirage15–15-0.0212%18 Jul →
cache11–13-0.0523%17 Jul →
ancient5–6-0.0811%17 Jul →
nuke9–13-0.0321%17 Jul →
cache5–12-0.0221%17 Jul →
dust213–20.076%17 Jul →
dust213–50.0122%17 Jul →
nuke13–4-0.0715%16 Jul →
ancient7–13-0.0217%16 Jul →
inferno12–120.0617%16 Jul →
vertigo10–130.0729%13 Jul →

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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