Meeps

Meeps — CS2 Stats

76561198081468713[U:1:121202985]Steam profile ↗✓ No bans

174Tracked matches46%Win rate2023Tracked since
CSDB Rating4.5 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 174
+1.8ppWin rate · 44.0% → 45.8%

Rating over time

19Days played since 2026-08-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim56
Positioning49
Utility29

0–100 skill scores via Leetify.

Recent form

COLD41–50–9Last 10041%Win rateWTLLLWTLTL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.1pp headshot accuracy · +77ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 595ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 617ms

Last 20

  • 6–9–5 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 579ms

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 (+1.1 against its own average).

Aim5.6
Utility2.9
Positioning4.9
Opening Duels3.6

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

donk

Plays most like donk 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 569ms 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

Aim5.6
Positioning4.9
Utility2.9
Mechanics4.9
Opening Duels3.4
Win Impact3.6

Composite 4.5/10 (Developing), 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 rating0.02+0.05
first ⅓ avg -0.03 → last ⅓ avg 0.02
Reaction time577ms+4ms
first ⅓ avg 573ms → last ⅓ avg 577ms
Headshot accuracy11.0%+1.4%
first ⅓ avg 9.5% → last ⅓ avg 11.0%

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

0.24Best match rating · 13–1 · inferno, 3 Sept →
33%Best headshot accuracy · 4–13 · nuke, 19 Aug →
391msFastest reaction time · 0–13 · cache, 22 Aug →
13–1Biggest win · inferno, 3 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 18infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2D3211–2134%0.00
mirageC208–1240%-0.00
nukeS1812–667%-0.01
infernoD123–925%0.02
cacheC125–742%-0.02
ancientC52–340%-0.01
train—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). 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.

10.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
32.9%Spray accuracy
71.9%Counter-strafing
9.1°Preaim
569msReaction time
36.1%T opening success
50.9%CT opening success
0.51Enemies flashed / flash
2.2%Flash assists
7.12HE damage / grenade
3.66Flashes / 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 10.7717% — 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 3.6628 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 36.061% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.056%25 Sept →
inferno12–120.045%11 Sept →
cache0–7-0.0610%7 Sept →
cache11–130.0312%7 Sept →
mirage7–13-0.0219%5 Sept →
inferno13–10.2411%3 Sept →
mirage12–12-0.069%3 Sept →
dust211–130.078%3 Sept →
dust212–12-0.0312%2 Sept →
dust21–130.0012%2 Sept →
mirage12–12-0.0214%2 Sept →
inferno12–12-0.008%2 Sept →
nuke6–130.035%2 Sept →
mirage9–130.0511%1 Sept →
dust213–70.0710%1 Sept →
dust213–30.089%1 Sept →
nuke13–40.0919%31 Aug →
mirage2–130.058%31 Aug →
cache13–70.0513%31 Aug →
mirage11–130.037%31 Aug →
mirage7–13-0.0110%31 Aug →
dust29–130.0424%31 Aug →
mirage13–110.0815%31 Aug →
nuke13–9-0.0711%31 Aug →
nuke10–13-0.0115%31 Aug →
dust213–10-0.0213%30 Aug →
mirage2–13-0.075%30 Aug →
dust213–40.085%30 Aug →
nuke13–110.097%30 Aug →
dust212–120.018%30 Aug →
dust213–100.029%30 Aug →
dust27–13-0.0314%30 Aug →
mirage13–70.0417%30 Aug →
inferno4–110.0621%30 Aug →
mirage12–120.029%30 Aug →
cache13–4-0.0115%29 Aug →
dust213–9-0.0614%29 Aug →
nuke13–8-0.037%29 Aug →
mirage1–13-0.0118%29 Aug →
inferno9–130.0317%29 Aug →
cache9–130.0421%29 Aug →
nuke13–11-0.0315%29 Aug →
cache13–70.0519%29 Aug →
ancient9–130.017%29 Aug →
dust212–12-0.0011%29 Aug →
ancient13–4-0.000%29 Aug →
dust210–13-0.037%29 Aug →
dust28–13-0.0015%28 Aug →
cache13–9-0.0611%28 Aug →
dust213–70.036%28 Aug →
mirage8–00.0521%28 Aug →
dust29–13-0.0512%28 Aug →
nuke6–13-0.057%28 Aug →
cache11–13-0.0312%27 Aug →
dust213–6-0.037%27 Aug →
cache13–30.038%27 Aug →
inferno7–13-0.0613%26 Aug →
nuke13–7-0.0119%26 Aug →
dust25–13-0.0519%26 Aug →
ancient8–13-0.0610%26 Aug →
ancient10–13-0.0116%25 Aug →
dust213–6-0.008%25 Aug →
mirage13–6-0.009%25 Aug →
inferno12–12-0.0712%25 Aug →
inferno13–20.0713%25 Aug →
nuke13–90.0613%25 Aug →
dust213–90.0610%24 Aug →
mirage13–110.0010%24 Aug →
nuke13–50.027%24 Aug →
inferno3–13-0.019%24 Aug →
dust25–130.0317%24 Aug →
inferno6–13-0.035%24 Aug →
mirage13–10-0.015%24 Aug →
inferno13–6-0.0310%24 Aug →
train4–13-0.094%24 Aug →
cache2–13-0.093%24 Aug →
dust210–130.1211%24 Aug →
dust22–13-0.0810%24 Aug →
dust21–4-0.046%22 Aug →
cache0–13-0.0912%22 Aug →
dust21–13-0.0616%22 Aug →
nuke13–11-0.049%22 Aug →
nuke13–4-0.074%21 Aug →
dust211–13-0.038%21 Aug →
dust22–13-0.0322%21 Aug →
nuke11–13-0.036%21 Aug →
mirage3–13-0.0711%21 Aug →
inferno3–130.0611%21 Aug →
ancient13–11-0.0114%21 Aug →
nuke13–6-0.056%21 Aug →
mirage2–13-0.029%20 Aug →
cache3–13-0.126%20 Aug →
dust26–130.0014%20 Aug →
dust29–13-0.047%20 Aug →
mirage13–4-0.030%20 Aug →
dust213–80.129%19 Aug →
nuke4–13-0.0633%19 Aug →
nuke7–2-0.040%19 Aug →
nuke0–6-0.056%19 Aug →
dust22–13-0.0717%19 Aug →

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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