SirMissAlot

SirMissAlot — CS2 Stats

76561198768693928[U:1:808428200]Steam profile ↗✓ No bans

331Tracked matches50%Win rate2025Tracked since
146Hours in CS
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating11,138Blue band · top ~48.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 11,138 +369 21 Jun – 25 Oct · 18 days played
7,51311,971peak 11,97121 Jun25 Oct
12,305Peak Premier in tracked matches
25Days played since 2026-06-21

Premier CS Rating

  • 833 below peak (11,971)
  • Next: Purple band at 15,000 — 3,862 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate39.5%42.0%44.4%4.9% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.060.981.03above
Match win rate43.8%43.8%45.2%1.4% short

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

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

Share this profile

CSDB.GGSirMissAlotPREMIER11,138 · Blue bandcsdb.gg/stats

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Performance scores

Aim24
Positioning69
Utility57

0–100 skill scores via Leetify.

Recent form

COLD41–59Last 10041%Win rateLLLWLLWLLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +1.9pp headshot accuracy · −44ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 542ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 564ms

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 against its own average).

Aim2.4
Utility5.7
Positioning6.9
Opening Duels5.2

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.

Strengths & areas to improve

Areas to improve

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.4
Positioning6.9
Utility5.7
Mechanics1.1
Opening Duels5.5
Win Impact5.0

Composite 4.0/10 (Developing), 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 rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time563ms−37ms
first ⅓ avg 600ms → last ⅓ avg 563ms
Headshot accuracy16.2%+1.1%
first ⅓ avg 15.1% → last ⅓ avg 16.2%

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 · 13–5 · inferno, 3 Oct →
31%Best headshot accuracy · 7–13 · inferno, 9 Oct →
328msFastest reaction time · 13–6 · nuke, 1 Oct →
13–3Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
3–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 67% over 9mirageWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
infernoD196–1332%-0.01
ancientB189–950%-0.01
nukeB179–853%-0.03
mirageD162–1413%-0.01
dust2C145–936%-0.01
anubisS96–367%-0.02
cacheB63–350%-0.01
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,336Lifetime kills
1.06K/D · Top 50% of Blue band
372Matches
43.8%Match win rate · Top 50% of Blue band
39.5%Headshot %
0.0%Shot accuracy
876MVPs
146Hours (in match)
455Bombs planted
74Bombs defused

Most-used weapons

Lifetime map wins

713inferno
469dust2
464nuke
61vertigo
26train
25italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy
28.5%Accuracy (enemy spotted)
26.7%Spray accuracy
55.1%Counter-strafing
13.2°Preaim
568msReaction time
48.2%T opening success
55.7%CT opening success
0.65Enemies flashed / flash
8.2%Flash assists
6.21HE damage / grenade
5.94Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1762° — above the 12° mark we flag

    Aim Training →
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.

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0517%25 Oct →
nuke6–13-0.0611%25 Oct →
ancient6–130.0616%24 Oct →
dust213–100.0220%24 Oct →
inferno11–13-0.0416%24 Oct →
nuke9–13-0.0015%24 Oct →
ancient13–6-0.0123%24 Oct →
dust24–13-0.0421%24 Oct →
dust26–13-0.0322%24 Oct →
dust22–13-0.0011%24 Oct →
anubis10–13-0.0312%24 Oct →
inferno11–130.0114%23 Oct →
anubis13–10-0.0524%23 Oct →
ancient13–8-0.0016%23 Oct →
nuke13–50.0318%23 Oct →
mirage13–30.0117%23 Oct →
vertigo13–100.0319%18 Oct →
inferno6–13-0.029%18 Oct →
anubis13–80.0112%18 Oct →
dust216–120.0712%17 Oct →
nuke13–7-0.077%17 Oct →
anubis13–9-0.0429%17 Oct →
inferno13–30.0617%11 Oct →
mirage7–130.0214%11 Oct →
mirage13–50.0225%11 Oct →
ancient7–13-0.0415%11 Oct →
mirage6–13-0.0212%11 Oct →
mirage5–13-0.0120%11 Oct →
cache13–50.0217%10 Oct →
ancient13–10-0.0114%10 Oct →
ancient13–90.0511%10 Oct →
ancient13–9-0.0213%10 Oct →
inferno13–8-0.0713%10 Oct →
mirage11–130.0917%9 Oct →
ancient16–130.1013%9 Oct →
nuke2–13-0.0410%9 Oct →
inferno7–130.0331%9 Oct →
anubis11–130.0110%9 Oct →
inferno13–10-0.039%7 Oct →
nuke8–13-0.0711%7 Oct →
cache10–13-0.0321%7 Oct →
mirage8–13-0.0513%6 Oct →
nuke13–10-0.0514%6 Oct →
nuke11–20.0610%5 Oct →
ancient4–13-0.0916%5 Oct →
mirage8–13-0.018%5 Oct →
ancient3–13-0.1021%5 Oct →
dust29–130.0011%5 Oct →
inferno5–13-0.1314%4 Oct →
inferno3–13-0.075%4 Oct →
nuke16–14-0.0713%3 Oct →
cache6–13-0.0516%3 Oct →
inferno14–16-0.0312%3 Oct →
anubis13–90.018%3 Oct →
nuke13–50.0111%3 Oct →
inferno6–13-0.036%3 Oct →
ancient13–100.0711%3 Oct →
ancient13–6-0.0220%3 Oct →
mirage2–13-0.0913%3 Oct →
inferno13–50.1615%3 Oct →
inferno13–10-0.0412%2 Oct →
cache13–90.0111%2 Oct →
nuke13–60.0413%1 Oct →
dust28–13-0.0412%1 Oct →
mirage10–130.0211%1 Oct →
mirage1–13-0.0512%1 Oct →
nuke13–60.0313%30 Sept →
ancient8–13-0.0212%30 Sept →
dust29–130.035%30 Sept →
mirage6–13-0.0110%30 Sept →
mirage3–13-0.0716%29 Sept →
inferno5–13-0.0312%29 Sept →
dust23–13-0.1113%29 Sept →
cache13–110.0019%29 Sept →
ancient11–13-0.0319%28 Sept →
ancient4–13-0.063%28 Sept →
inferno9–13-0.0620%28 Sept →
nuke9–13-0.0713%27 Sept →
inferno5–13-0.0718%27 Sept →
dust210–130.0015%27 Sept →
cache10–13-0.046%24 Sept →
inferno13–30.1320%24 Sept →
ancient9–13-0.0614%24 Sept →
dust213–8-0.0310%24 Sept →
mirage6–13-0.0410%24 Sept →
nuke10–13-0.0525%28 Jun →
nuke8–13-0.049%28 Jun →
inferno8–13-0.0123%28 Jun →
dust213–110.0029%28 Jun →
inferno3–13-0.0213%28 Jun →
dust28–130.0423%27 Jun →
nuke13–10-0.0114%27 Jun →
ancient8–13-0.0511%23 Jun →
dust213–8-0.0317%23 Jun →
mirage9–13-0.0412%23 Jun →
mirage10–130.0316%23 Jun →
nuke0–13-0.1020%22 Jun →
ancient13–7-0.0120%22 Jun →
anubis13–6-0.0715%21 Jun →
anubis13–90.0518%21 Jun →

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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