Mr. Speaker — CS2 Stats

76561199426607192[U:1:1466341464]

889Tracked matches45%Win rate2025Tracked since
1,052Hours in CS14Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches58——
Win rate53%——
K/D1.34——
Headshot %47%——

Measured 7 Sep 2026 → 10 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim75
Positioning70
Utility19

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateLWLLWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −6.1pp headshot accuracy · −35ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 659ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 599ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 617ms

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 (+1.7 against its own average).

Aim7.5
Utility1.9
Positioning7.0
Opening Duels6.9

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 66% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

Reaction time. 607ms 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

Aim7.5
Positioning7.0
Utility1.9
Mechanics6.0
Opening Duels7.6
Win Impact3.3

Composite 5.9/10 (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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time590ms−21ms
first ⅓ avg 611ms → last ⅓ avg 590ms
Headshot accuracy22.7%+1.8%
first ⅓ avg 21.0% → last ⅓ avg 22.7%

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

0.22Best match rating · 13–5 · office, 2 Oct →
100%Best headshot accuracy · 1–2 · office, 27 Sept →
406msFastest reaction time · 4–13 · office, 9 Oct →
13–2Biggest win · office, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds

Map breakdown

officeBest map · 49% over 72nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
officeB7235–3749%0.03
nukeD92–722%0.03
cache—41–325%0.02
vertigo—30–30%0.02
train—21–150%0.08
inferno—22–0100%0.09
dust2—20–20%0.03
ancient—21–150%-0.01
mirage—10–10%-0.03
anubis—10–10%0.03
fachwerk—11–0100%-0.04
shelter—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,457Lifetime kills
1.02K/D · Top 50% of tracked players
1,451Matches
50.7%Match win rate · Top 25% of tracked players
44.6%Headshot % · Top 50% of tracked players
0.3%Shot accuracy
2,940MVPs
525Hours (in match)
241Bombs planted
139Bombs defused

Most-used weapons

Lifetime map wins

4,706office
2,252dust2
1,454nuke
858vertigo
657inferno
307train
179italy
9cbble

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.

20.7%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.3%Spray accuracy
77.0%Counter-strafing
9.0°Preaim
607msReaction time
58.0%T opening success
62.4%CT opening success
0.20Enemies flashed / flash
2.2%Flash assists
10.04HE damage / grenade
2.61Flashes / 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 0.197 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
office5–130.0321%10 Oct →
office13–110.0414%10 Oct →
train6–13-0.0124%10 Oct →
nuke4–130.0718%10 Oct →
nuke13–30.0714%9 Oct →
office2–13-0.0256%9 Oct →
office4–13-0.0418%9 Oct →
nuke7–130.0716%9 Oct →
vertigo6–130.0817%9 Oct →
inferno13–110.1218%9 Oct →
nuke11–13-0.0018%9 Oct →
office13–100.0317%2 Oct →
office13–11-0.0117%2 Oct →
office13–80.0311%2 Oct →
office13–60.1126%2 Oct →
office13–80.1124%2 Oct →
office13–50.2228%2 Oct →
office2–7-0.0322%27 Sept →
office1–20.05100%27 Sept →
vertigo3–130.0415%27 Sept →
nuke13–6-0.0120%27 Sept →
office4–130.0230%27 Sept →
nuke0–70.000%27 Sept →
office12–12-0.0211%27 Sept →
office10–13-0.0313%27 Sept →
office6–130.0918%26 Sept →
office13–100.0236%26 Sept →
inferno13–30.0721%26 Sept →
train13–30.1615%26 Sept →
office6–130.0924%26 Sept →
office13–100.0024%26 Sept →
office7–13-0.0429%25 Sept →
office12–120.0215%25 Sept →
office13–110.0728%25 Sept →
dust26–130.0720%25 Sept →
office13–100.1417%25 Sept →
office2–0-0.0325%25 Sept →
office13–60.0820%25 Sept →
office12–120.1624%25 Sept →
office11–13-0.0214%25 Sept →
vertigo3–8-0.068%21 Sept →
mirage1–13-0.0320%21 Sept →
ancient13–70.0110%21 Sept →
nuke9–13-0.0118%21 Sept →
office13–50.0425%20 Sept →
office11–13-0.0317%20 Sept →
office5–13-0.055%20 Sept →
office5–13-0.0122%19 Sept →
office9–130.0815%19 Sept →
office13–40.1117%18 Sept →
office13–11-0.0127%18 Sept →
office10–13-0.0738%17 Sept →
office0–2-0.030%17 Sept →
office2–4-0.0817%12 Sept →
office13–20.1521%12 Sept →
office13–100.0816%12 Sept →
office13–110.0017%12 Sept →
office13–110.0419%11 Sept →
office9–130.0826%11 Sept →
office13–30.0626%11 Sept →
office13–40.0621%11 Sept →
office7–13-0.0422%4 Sept →
office5–13-0.0222%4 Sept →
office9–130.0429%30 Aug →
office5–13-0.0312%30 Aug →
office6–130.1124%30 Aug →
dust23–13-0.0117%29 Aug →
office3–130.1026%29 Aug →
cache13–7-0.0022%26 Aug →
nuke7–130.0315%21 Aug →
office6–20.0717%21 Aug →
office4–100.0620%16 Aug →
office12–12-0.0320%16 Aug →
office7–13-0.0420%16 Aug →
office8–00.1515%16 Aug →
cache3–110.0213%16 Aug →
office13–70.0521%16 Aug →
office2–13-0.0230%15 Aug →
office8–130.0422%15 Aug →
office13–60.0627%9 Aug →
office7–13-0.0036%6 Aug →
office13–80.0422%6 Aug →
office13–100.0529%5 Aug →
office13–30.2029%28 Jul →
office11–130.0328%26 Jul →
office3–13-0.0211%25 Jul →
anubis6–130.0316%25 Jul →
cache12–12-0.0224%17 Jul →
office13–90.0724%17 Jul →
fachwerk13–8-0.048%16 Jul →
cache12–120.0814%16 Jul →
office13–8-0.0122%16 Jul →
office13–90.0421%16 Jul →
office3–130.0315%16 Jul →
shelter13–100.028%13 Jul →
office13–40.0436%13 Jul →
ancient1–13-0.0412%13 Jul →
nuke7–130.1021%13 Jul →
office13–6-0.0127%13 Jul →
office13–60.0623%9 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.