Sir Miss A Lot

Sir Miss A Lot — CS2 Stats

RU76561198799489415[U:1:839223687]Steam profile ↗✓ No bans

970Tracked matches43%Win rate2025Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating18,927Top 50% of 211,308 CSDB-tracked playersPurple band · top ~12.8% of ranked players (population est.)
CSDB Leaderboard#99440 of 258295 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+353Premier CS Rating · 18,574 → 18,927

Rating over time

Premier CS Rating: 18,927 -2,129 28 Jul – 28 Oct · 17 days played
18,57425,011peak 25,01128 Jul28 Oct
25,113Peak Premier in tracked matches
15Days played since 2026-07-28

Premier CS Rating

  • 6,084 below peak (25,011)
  • -6,084 over 90 days
  • Next: Pink band at 20,000 — 1,073 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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

Share this profile

CSDB.GGSir Miss A LotPREMIER18,927 · Purple bandcsdb.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

Aim72
Positioning75
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWLLWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −4.5pp headshot accuracy · −54ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 569ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 560ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 587ms

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 (+1.2 against its own average).

Aim7.2
Utility5.8
Positioning7.5
Opening Duels5.6

Limited 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

m0NESY

Plays most like m0NESY 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 53% on CT — first contacts on the defending side are being lost.

Reaction time. 585ms 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

Aim7.2
Positioning7.5
Utility5.8
Mechanics7.2
Opening Duels7.9
Win Impact2.8

Composite 6.7/10 (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 rating0.01−0.06
first ⅓ avg 0.07 → last ⅓ avg 0.01
Reaction time588ms+45ms
first ⅓ avg 543ms → last ⅓ avg 588ms
Headshot accuracy14.6%−3.8%
first ⅓ avg 18.5% → last ⅓ avg 14.6%

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

0.28Best match rating · 13–9 · ancient, 30 Jul →
35%Best headshot accuracy · 13–10 · cache, 13 Oct →
359msFastest reaction time · 8–13 · inferno, 30 Jul →
13–0Biggest win · ancient, 21 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%0.04
infernoD216–1529%0.01
nukeC146–843%0.02
cacheB136–746%0.02
ancientS96–367%0.04
mirageA85–363%0.01
anubis—42–250%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.6%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.0%Spray accuracy
82.4%Counter-strafing
9.1°Preaim
585msReaction time
69.8%T opening success
53.4%CT opening success
0.67Enemies flashed / flash
6.7%Flash assists
11.70HE damage / grenade
3.72Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6218% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.7191 — below the 4 mark we flag

    Grenade Lineups →
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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0112%28 Oct →
ancient6–13-0.0310%25 Oct →
inferno7–13-0.0513%25 Oct →
mirage13–110.0219%25 Oct →
dust211–130.0511%25 Oct →
nuke13–80.0217%25 Oct →
inferno13–7-0.017%23 Oct →
nuke6–13-0.0123%21 Oct →
inferno10–13-0.0218%21 Oct →
inferno14–16-0.0610%21 Oct →
ancient13–00.0120%21 Oct →
inferno4–13-0.0620%20 Oct →
dust23–13-0.0833%20 Oct →
inferno16–140.0216%20 Oct →
cache3–130.018%20 Oct →
dust213–30.0918%20 Oct →
cache10–13-0.0014%20 Oct →
dust213–90.0510%19 Oct →
nuke9–13-0.0129%19 Oct →
mirage13–60.0416%19 Oct →
mirage11–13-0.0310%19 Oct →
mirage13–50.0411%19 Oct →
inferno1–13-0.030%19 Oct →
dust29–13-0.0420%18 Oct →
dust211–130.0410%18 Oct →
ancient5–13-0.038%14 Oct →
dust213–100.0921%14 Oct →
ancient13–110.049%14 Oct →
cache13–110.0914%14 Oct →
inferno8–130.0213%14 Oct →
dust24–130.0520%14 Oct →
ancient13–7-0.0115%14 Oct →
inferno11–130.019%14 Oct →
cache8–130.0321%14 Oct →
mirage3–13-0.024%14 Oct →
nuke13–7-0.0118%14 Oct →
ancient13–7-0.0418%14 Oct →
dust29–13-0.0218%14 Oct →
inferno10–130.0113%14 Oct →
cache16–120.0112%13 Oct →
cache13–100.0335%13 Oct →
dust29–13-0.0421%13 Oct →
nuke6–130.0420%12 Oct →
nuke4–13-0.058%12 Oct →
mirage13–8-0.0315%12 Oct →
nuke13–9-0.0322%12 Oct →
inferno2–13-0.0511%12 Oct →
dust25–130.0118%12 Oct →
anubis7–13-0.0110%12 Oct →
inferno10–13-0.0125%12 Oct →
cache6–13-0.0313%22 Aug →
nuke4–13-0.0321%22 Aug →
cache13–3-0.0215%22 Aug →
dust26–130.0227%22 Aug →
inferno13–80.0319%22 Aug →
dust213–00.0624%22 Aug →
dust20–7-0.0514%22 Aug →
nuke13–3-0.0127%22 Aug →
ancient3–110.0219%31 Jul →
dust210–13-0.049%31 Jul →
anubis10–130.0223%30 Jul →
dust213–50.009%30 Jul →
cache16–130.0031%30 Jul →
inferno13–100.0523%30 Jul →
dust213–40.1025%30 Jul →
cache9–13-0.0210%30 Jul →
dust213–80.1325%30 Jul →
dust213–50.1028%30 Jul →
cache8–130.0827%30 Jul →
inferno8–130.0413%30 Jul →
dust216–130.0412%30 Jul →
dust213–80.0714%30 Jul →
nuke13–70.0910%30 Jul →
anubis13–70.0515%30 Jul →
ancient13–90.2811%30 Jul →
dust26–20.1115%30 Jul →
nuke10–130.1222%30 Jul →
dust213–100.0824%30 Jul →
dust213–70.0014%30 Jul →
dust210–130.0514%30 Jul →
cache3–13-0.0432%29 Jul →
inferno13–110.1016%29 Jul →
anubis13–30.0321%29 Jul →
dust213–60.1633%29 Jul →
dust211–130.0820%29 Jul →
dust28–130.0212%29 Jul →
inferno15–150.0314%29 Jul →
cache13–110.1318%29 Jul →
nuke16–140.0829%28 Jul →
inferno11–130.0820%28 Jul →
inferno11–130.0716%28 Jul →
dust213–90.1016%28 Jul →
dust210–13-0.0120%28 Jul →
dust213–9-0.0125%28 Jul →
nuke7–13-0.0112%28 Jul →
inferno9–130.0723%28 Jul →
mirage4–13-0.013%28 Jul →
mirage13–80.0423%28 Jul →
ancient13–80.099%28 Jul →
nuke11–130.1530%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.