mmhmm mmhmm

mmhmm mmhmm — CS2 Stats

SG76561198126257989[U:1:165992261]Steam profile ↗✓ No bans

296Tracked matches46%Win rate2020Tracked since
2,978Hours in CS
CSDB Rating5.1 DevelopingAll-Rounder
Premier CS Rating13,357Blue band · top ~37.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Jun 2026 (122 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: 13,357 +3,822 7 Apr – 15 Jun · 19 days played
9,53513,532peak 13,5327 Apr15 Jun
14,301Peak Premier in tracked matches
39Days played since 2021-02-02

Premier CS Rating

  • 175 below peak (13,532)
  • +643 over 30 days · improving
  • Next: Purple band at 15,000 — 1,643 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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 16 Sep 2026 and 15 Oct 2026.

Measured 16 Sep 2026 → 15 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,888), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate18.2%43.7%44.8%26.6% short
Shot accuracy20.2%12.0%12.4%above
Kill/death ratio1.091.021.03above
Match win rate39.4%44.7%45.2%5.8% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmmhmm mmhmmFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER13,357 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning43
Utility38

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateTLLLWLWLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.0pp headshot accuracy · −7ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 705ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 666ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 670ms

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.

Aim6.7
Utility3.8
Positioning4.3
Opening Duels3.3

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

device

Plays most like device 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 678ms 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

Aim6.7
Positioning4.3
Utility3.8
Mechanics8.3
Opening Duels3.2
Win Impact3.8

Composite 5.1/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time688ms+36ms
first ⅓ avg 652ms → last ⅓ avg 688ms
Headshot accuracy26.7%+6.9%
first ⅓ avg 19.7% → last ⅓ avg 26.7%

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

0.19Best match rating · 13–7 · inferno, 1 May →
45%Best headshot accuracy · 13–8 · dust2, 7 Apr →
453msFastest reaction time · 16–6 · dust2, 3 Feb →
16–5Biggest win · cache, 5 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–7In matches decided by ≤2 rounds
27Overtime games

Map breakdown

infernoBest map · 75% over 12overpassWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B4925–2451%0.00
overpassD124–833%-0.02
infernoS129–375%0.02
nukeC94–544%-0.02
mirageC52–340%0.01
ancient—41–325%-0.03
anubis—42–250%0.02
train—22–0100%0.00
cache—21–150%0.00
vertigo—10–10%0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

386,389Lifetime kills
1.09K/D · Top 50% of Level 5 players
4,087Matches
39.4%Match win rate
18.2%Headshot %
20.2%Shot accuracy · Top 5% of Level 5 players
8,756MVPs
2,978Hours (in match)
2,464Bombs planted
868Bombs defused

Most-used weapons

AK-47140,342
P9051,276
AWP41,867
P2502,920
Tec-91,523

Lifetime map wins

20,907dust2
2,356inferno
876nuke
274train
261vertigo
178cbble
36bank
34office

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.

27.0%Headshot accuracy
29.4%Accuracy (enemy spotted)
25.8%Spray accuracy
87.2%Counter-strafing
8.2°Preaim
678msReaction time
38.1%T opening success
47.8%CT opening success
0.53Enemies flashed / flash
2.4%Flash assists
6.70HE damage / grenade
4.03Flashes / 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

    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 38.1049% — below the 40% mark we flag

Spend your practice time on Overpass

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0513%25 Jun →
ancient2–13-0.0423%15 Jun →
dust27–130.0336%7 Jun →
nuke1–11-0.1220%6 Jun →
dust213–90.0433%6 Jun →
dust26–13-0.0842%4 Jun →
dust213–11-0.0236%4 Jun →
overpass7–13-0.0523%4 Jun →
dust211–130.0628%2 Jun →
dust213–40.1524%2 Jun →
inferno13–100.0741%2 Jun →
nuke13–50.0439%2 Jun →
dust25–13-0.0329%2 Jun →
nuke2–13-0.1019%2 Jun →
dust26–130.0140%2 Jun →
overpass13–90.0114%31 May →
dust215–15-0.0429%31 May →
inferno13–6-0.0429%31 May →
dust216–14-0.0423%18 May →
dust27–13-0.0424%9 May →
mirage13–160.0228%9 May →
overpass4–13-0.0525%9 May →
ancient13–40.0221%7 May →
ancient6–13-0.0232%7 May →
overpass13–110.0522%6 May →
dust213–60.0322%6 May →
overpass7–13-0.1025%3 May →
dust213–11-0.0220%3 May →
dust210–130.0027%3 May →
dust213–40.0316%3 May →
anubis5–130.0923%1 May →
inferno13–70.1922%1 May →
anubis13–110.0631%1 May →
mirage13–8-0.0025%28 Apr →
overpass9–130.0521%28 Apr →
dust211–130.0238%27 Apr →
nuke13–50.0535%27 Apr →
nuke13–11-0.0528%20 Apr →
nuke13–110.0933%20 Apr →
inferno13–11-0.0021%19 Apr →
dust216–120.0326%19 Apr →
dust211–13-0.0222%19 Apr →
mirage3–130.0227%19 Apr →
dust213–90.0740%18 Apr →
inferno13–30.0830%18 Apr →
anubis5–13-0.0412%9 Apr →
dust211–13-0.0123%9 Apr →
dust213–80.1445%7 Apr →
inferno13–70.0239%7 Apr →
dust212–12-0.0219%18 Mar →
dust213–9-0.0221%18 Mar →
mirage13–9-0.038%18 Mar →
dust213–100.0027%17 Mar →
mirage9–130.0415%17 Mar →
dust216–13-0.0029%17 Mar →
dust213–100.0318%17 Mar →
dust29–13-0.0130%17 Mar →
nuke6–13-0.0032%16 Mar →
overpass11–13-0.0622%16 Mar →
dust24–130.0141%16 Mar →
overpass7–13-0.0422%15 Mar →
nuke14–16-0.0522%15 Mar →
anubis13–6-0.0328%12 Mar →
inferno4–13-0.0123%12 Mar →
dust26–13-0.096%5 Mar →
ancient7–13-0.079%5 Mar →
dust27–13-0.0329%4 Mar →
inferno7–13-0.0539%4 Mar →
dust210–13-0.0733%4 Mar →
dust212–12-0.0214%4 Mar →
dust29–13-0.0222%4 Mar →
dust216–130.0123%2 Mar →
overpass1–13-0.0724%2 Mar →
inferno13–6-0.0518%2 Mar →
dust210–13-0.0541%2 Mar →
dust213–110.0836%3 Feb →
dust211–13-0.0211%3 Feb →
dust28–130.0037%2 Feb →
dust213–100.0019%2 Feb →
dust213–8-0.0225%2 Feb →
train16–70.0020%16 May →
dust219–170.0020%10 Apr →
inferno9–160.0019%9 Feb →
dust225–230.0016%7 Feb →
inferno16–120.0012%7 Feb →
dust210–160.0021%7 Feb →
dust216–120.0012%7 Feb →
overpass16–90.0023%7 Feb →
vertigo7–160.0010%7 Feb →
train16–60.0024%6 Feb →
nuke21–250.0018%5 Feb →
cache16–50.0013%5 Feb →
inferno16–70.0012%5 Feb →
overpass13–160.0010%5 Feb →
dust216–110.0013%4 Feb →
overpass15–50.0014%3 Feb →
dust216–100.0015%3 Feb →
dust216–60.0010%3 Feb →
cache13–160.0014%2 Feb →
dust216–120.0014%2 Feb →

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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