weep

weep — CS2 Stats

76561199005623079[U:1:1045357351]Steam profile ↗✓ No bans

375Tracked matches54%Win rate2022Tracked since
CSDB Rating5.3 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,764 +184 8 Jun – 9 Jun · 2 days played
8,5808,764peak 8,7648 Jun9 Jun
8,764Peak Premier in tracked matches
45Days played since 2024-08-11

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

Performance scores

Aim73
Positioning50
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateWWWWLLWTWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · −52ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 583ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 547ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 573ms

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 (+2.4 against its own average).

Aim7.3
Utility1.2
Positioning5.0
Opening Duels1.6

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

sh1ro

Plays most like sh1ro 81% 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

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

Reaction time. 587ms 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

Aim7.3
Positioning5.0
Utility1.2
Mechanics7.3
Opening Duels2.1
Win Impact6.2

Composite 5.3/10 (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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time583ms−104ms
first ⅓ avg 687ms → last ⅓ avg 583ms
Headshot accuracy14.3%+2.2%
first ⅓ avg 12.0% → last ⅓ avg 14.3%

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

0.11Best match rating · 13–1 · ancient, 2 Oct →
33%Best headshot accuracy · 1–13 · dust2, 3 Oct →
422msFastest reaction time · 12–12 · inferno, 16 Oct →
13–1Biggest win · ancient, 2 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
3–8In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 67% over 9mirageWeakest map · 39% over 28
MapGradePlayedRecordWin rateAvg rating
mirageC2811–1739%-0.03
dust2B2010–1050%-0.03
infernoC125–742%-0.02
anubisB126–650%-0.02
ancientC104–640%-0.02
cacheS96–367%-0.01
overpassA53–260%-0.03
nuke—33–0100%-0.01
fachwerk—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 28). Start with the 5 essential Mirage 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.

13.7%Headshot accuracy
37.1%Accuracy (enemy spotted)
40.2%Spray accuracy
83.0%Counter-strafing
9.7°Preaim
587msReaction time
42.5%T opening success
34.1%CT opening success
0.27Enemies flashed / flash
1.4%Flash assists
1.99HE damage / grenade
2.17Flashes / 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 13.7425% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2711 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.0845% — below the 40% mark we flag

Spend your practice time on Mirage

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

39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–40.0315%29 Oct →
mirage13–7-0.028%29 Oct →
cache13–7-0.0212%23 Oct →
dust213–3-0.0319%23 Oct →
cache6–13-0.0417%18 Oct →
ancient3–13-0.0415%18 Oct →
overpass13–9-0.0312%17 Oct →
inferno12–12-0.097%16 Oct →
mirage13–80.007%16 Oct →
mirage6–13-0.0210%14 Oct →
mirage11–13-0.0513%9 Oct →
ancient3–13-0.0216%9 Oct →
mirage7–13-0.0612%4 Oct →
dust28–13-0.057%4 Oct →
cache13–8-0.0012%3 Oct →
dust23–13-0.0121%3 Oct →
cache5–13-0.0319%3 Oct →
ancient13–8-0.0210%3 Oct →
anubis13–9-0.066%3 Oct →
overpass13–7-0.0211%3 Oct →
dust21–13-0.0633%3 Oct →
mirage8–13-0.0219%3 Oct →
inferno3–13-0.0715%3 Oct →
dust213–7-0.0225%2 Oct →
inferno12–120.0315%2 Oct →
overpass11–13-0.0711%2 Oct →
ancient13–10.1123%2 Oct →
anubis13–110.038%2 Oct →
inferno13–90.0115%1 Oct →
mirage13–50.0019%1 Oct →
fachwerk12–12-0.0212%1 Oct →
dust22–13-0.0216%1 Oct →
mirage13–11-0.0612%30 Sept →
cache10–13-0.0614%30 Sept →
dust211–13-0.0615%27 Sept →
inferno13–70.0514%27 Sept →
cache13–7-0.0113%27 Sept →
nuke13–5-0.057%26 Sept →
anubis10–13-0.056%26 Sept →
mirage13–2-0.003%26 Sept →
anubis13–4-0.008%24 Sept →
dust213–8-0.0110%24 Sept →
mirage7–13-0.0914%24 Sept →
mirage11–13-0.076%22 Sept →
cache13–20.029%22 Sept →
dust213–20.0321%22 Sept →
anubis13–20.047%18 Sept →
cache13–40.074%18 Sept →
anubis8–13-0.0113%27 Jun →
cache13–20.0119%27 Jun →
mirage1–4-0.0720%20 Jun →
overpass13–50.0512%27 Mar →
anubis13–20.0511%27 Mar →
mirage12–12-0.0414%27 Mar →
ancient9–13-0.0813%8 Oct →
dust213–10-0.0325%29 Sept →
mirage11–13-0.0524%29 Sept →
anubis12–12-0.018%25 Sept →
ancient13–8-0.0413%25 Sept →
dust212–12-0.0616%24 Sept →
inferno11–13-0.0511%24 Sept →
overpass6–13-0.0610%22 Sept →
dust23–13-0.076%26 Jul →
anubis13–11-0.079%20 Jul →
dust213–40.007%20 Jul →
inferno13–10-0.009%20 Jul →
mirage7–13-0.103%1 Jul →
dust29–13-0.037%1 Jul →
anubis11–130.036%28 Jun →
nuke13–30.015%9 Jun →
nuke13–10-0.0017%8 Jun →
mirage6–13-0.0517%7 Jun →
mirage13–50.038%7 Jun →
dust213–20.0612%2 Jun →
ancient10–13-0.0616%29 May →
inferno6–13-0.068%29 May →
mirage10–13-0.044%29 May →
dust213–30.0318%28 May →
mirage13–10.0325%27 May →
dust213–8-0.0113%27 May →
inferno5–13-0.026%17 May →
mirage9–13-0.045%17 May →
mirage12–12-0.0412%17 May →
mirage13–70.0512%14 May →
mirage9–00.065%14 May →
inferno13–10.027%14 May →
inferno12–12-0.058%7 May →
mirage13–3-0.0511%7 May →
mirage10–13-0.029%3 May →
dust25–13-0.0514%3 May →
anubis3–13-0.0613%3 May →
inferno11–20.018%3 May →
mirage6–13-0.0311%24 Apr →
anubis8–13-0.0827%13 Apr →
ancient7–13-0.0418%13 Apr →
ancient11–13-0.0622%12 Apr →
mirage13–8-0.0710%14 Sept →
dust213–7-0.0520%14 Sept →
mirage5–13-0.0319%11 Aug →
dust25–13-0.116%11 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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