Mr. Mister

Mr. Mister — CS2 Stats

DE76561198885382478[U:1:925116750]Steam profile ↗✓ No bans

151Tracked matches61%Win rate2020Tracked since
162Hours in CS
CSDB Rating4.9 DevelopingAll-Rounder
Premier CS Rating5,123Light Blue band · top ~78.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Mar 2026 (224 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: 5,123 +124 22 Feb – 26 Mar · 9 days played
4,7615,123peak 5,12322 Feb26 Mar
5,123Peak Premier in tracked matches
47Days played since 2025-12-11

Premier CS Rating

  • At peak — 5,123
  • +352 over 30 days · steady
  • Next: Blue band at 10,000 — 4,877 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate44.1%39.9%42.0%above
Shot accuracy13.2%7.0%9.6%above
Kill/death ratio1.220.920.98above
Match win rate51.2%42.3%43.8%above

Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGMr. MisterPREMIER5,123 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning63
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateWTWLLWWWWL

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · +6.8pp headshot accuracy · +36ms reaction

Win rate 0pp 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 0.07
  • Avg headshot accuracy 17%
  • Avg reaction 644ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 20%
  • Avg reaction 600ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.1
Utility4.7
Positioning6.3
Opening Duels6.1

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

s1mple

Plays most like s1mple 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.1
Positioning6.3
Utility4.7
Mechanics4.2
Opening Duels5.1
Win Impact8.6

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.08+0.03
first ⅓ avg 0.04 → last ⅓ avg 0.08
Reaction time582ms−28ms
first ⅓ avg 610ms → last ⅓ avg 582ms
Headshot accuracy15.1%−2.1%
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

0.30Best match rating · 13–6 · dust2, 26 Feb →
63%Best headshot accuracy · 2–13 · inferno, 26 Mar →
406msFastest reaction time · 8–7 · ancient, 12 Feb →
13–0Biggest win · inferno, 6 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–10In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 80% over 5ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageS2819–968%0.06
dust2D175–1229%0.06
infernoA1610–663%0.05
overpassC73–443%0.05
nukeC73–443%0.04
vertigoC52–340%0.03
officeS54–180%0.08
ancientD51–420%0.07
train—32–167%0.09
anubis—22–0100%0.07
warden—21–150%0.14
cache—10–10%0.04
stronghold—11–0100%0.21
agency—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,067Lifetime kills
1.22K/D · Top 10% of Light Blue band
391Matches
51.2%Match win rate · Top 5% of Light Blue band
44.1%Headshot % · Top 50% of Light Blue band
13.2%Shot accuracy · Top 25% of Light Blue band
1,225MVPs
162Hours (in match)
324Bombs planted
95Bombs defused

Most-used weapons

Lifetime map wins

719inferno
632dust2
436nuke
313office
260vertigo
211train
103lake
6bank

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.

14.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.1%Spray accuracy
69.0%Counter-strafing
11.6°Preaim
585msReaction time
43.2%T opening success
57.2%CT opening success
0.56Enemies flashed / flash
3.9%Flash assists
11.94HE damage / grenade
6.55Flashes / 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 14.0635% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–100.1022%8 Jun →
vertigo12–120.0711%7 Jun →
overpass13–40.0716%27 May →
cache5–130.0419%27 May →
mirage7–130.0918%26 May →
dust213–30.2115%26 May →
office13–110.1316%19 May →
office13–20.0914%18 May →
inferno13–50.067%26 Mar →
inferno2–130.1263%26 Mar →
mirage13–80.0119%26 Mar →
dust29–130.1015%26 Mar →
office13–40.0125%21 Mar →
office13–60.0311%21 Mar →
overpass12–120.0512%13 Mar →
overpass13–100.1410%12 Mar →
inferno13–00.0615%6 Mar →
dust24–13-0.029%6 Mar →
mirage13–110.0311%5 Mar →
nuke8–130.076%5 Mar →
mirage10–130.089%5 Mar →
dust213–90.0814%3 Mar →
mirage13–30.0817%3 Mar →
mirage13–70.0914%3 Mar →
mirage11–130.0116%28 Feb →
dust213–160.0414%28 Feb →
anubis13–10.060%27 Feb →
nuke16–120.0510%26 Feb →
ancient8–130.1114%26 Feb →
nuke7–13-0.0713%26 Feb →
mirage9–130.1413%26 Feb →
inferno13–80.1115%26 Feb →
dust213–60.3014%26 Feb →
nuke6–130.1518%26 Feb →
dust20–13-0.0611%25 Feb →
dust25–13-0.0214%25 Feb →
mirage13–110.0614%22 Feb →
inferno13–50.0423%22 Feb →
anubis9–10.0830%22 Feb →
train13–60.0914%22 Feb →
warden7–130.1214%22 Feb →
inferno13–40.068%22 Feb →
inferno7–130.0316%21 Feb →
inferno7–130.0112%21 Feb →
inferno13–110.0911%21 Feb →
mirage13–20.1112%20 Feb →
dust214–160.1417%20 Feb →
mirage11–130.018%20 Feb →
nuke13–50.1327%20 Feb →
dust29–130.018%20 Feb →
mirage13–50.1517%20 Feb →
overpass13–20.0819%17 Feb →
inferno3–5-0.073%17 Feb →
mirage13–30.0718%17 Feb →
ancient13–70.1711%16 Feb →
mirage13–30.068%14 Feb →
mirage7–00.020%14 Feb →
ancient8–70.1138%12 Feb →
ancient11–13-0.0411%12 Feb →
inferno13–40.0920%7 Feb →
dust210–130.0519%7 Feb →
nuke13–30.166%6 Feb →
mirage10–130.1426%31 Jan →
inferno13–20.084%31 Jan →
train13–20.0523%31 Jan →
mirage12–8-0.078%29 Jan →
mirage10–130.0217%28 Jan →
mirage13–60.1413%27 Jan →
warden8–00.1518%26 Jan →
stronghold13–110.215%26 Jan →
mirage13–80.0913%16 Jan →
overpass6–9-0.027%14 Jan →
dust212–12-0.039%14 Jan →
dust213–80.0118%14 Jan →
mirage10–130.0419%11 Jan →
vertigo6–10-0.0516%10 Jan →
ancient12–12-0.0216%10 Jan →
agency13–80.0120%9 Jan →
office5–60.159%5 Jan →
train11–130.1427%4 Jan →
inferno8–130.029%3 Jan →
overpass5–130.0325%3 Jan →
inferno13–80.0324%27 Dec →
mirage4–13-0.0316%27 Dec →
mirage13–80.0416%27 Dec →
vertigo12–12-0.0018%23 Dec →
vertigo13–30.0616%19 Dec →
dust27–70.0619%18 Dec →
overpass9–130.0124%18 Dec →
dust213–40.1211%15 Dec →
mirage13–2-0.0019%15 Dec →
dust27–130.0521%14 Dec →
mirage7–1-0.0018%14 Dec →
inferno11–130.0513%14 Dec →
inferno13–20.099%14 Dec →
mirage13–80.053%12 Dec →
nuke1–13-0.2050%12 Dec →
dust212–12-0.0115%12 Dec →
mirage13–70.1624%11 Dec →
mirage13–50.0727%11 Dec →

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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