Blep

Blep — CS2 Stats

US76561198246042824[U:1:285777096]Steam profile ↗✓ No bans

589Tracked matches46%Win rate2020Tracked since
2,478Hours in CS1Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim98
Positioning62
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY44–47–9Last 10044%Win rateLWLTLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −5.9pp headshot accuracy · −25ms reaction

Win rate +10pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 43%
  • Avg reaction 683ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 46%
  • Avg reaction 619ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 49%
  • Avg reaction 631ms

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 (+2.3 against its own average).

Aim9.8
Utility1.3
Positioning6.2
Opening Duels4.3

Sharp aimerLimited 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 66% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

Reaction time. 615ms 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

Aim9.8
Positioning6.2
Utility1.3
Mechanics8.4
Opening Duels4.3
Win Impact3.8

Composite 6.4/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time611ms−21ms
first ⅓ avg 632ms → last ⅓ avg 611ms
Headshot accuracy50.3%+14.9%
first ⅓ avg 35.4% → last ⅓ avg 50.3%

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

0.14Best match rating · 6–0 · office, 8 Jul →
77%Best headshot accuracy · 12–12 · nuke, 4 Aug →
438msFastest reaction time · 13–5 · mirage, 11 Jul →
13–0Biggest win · nuke, 11 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 62% over 13vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%0.02
mirageC198–1142%0.01
officeA1710–759%0.04
nukeD133–1023%-0.01
cacheA138–562%0.00
vertigoD51–420%0.01
train—10–10%0.01
shelter—11–0100%-0.04
inferno—10–10%0.02
italy—11–0100%0.13
overpass—10–10%-0.07
anubis—10–10%-0.05
alpine—11–0100%0.02

Across the last 100 tracked matches.

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

Lifetime stats

71,013Lifetime kills
1.09K/D · Top 50% of tracked players
3,306Matches
34.1%Match win rate
33.6%Headshot %
38.6%Shot accuracy · Top 1% of tracked players
5,331MVPs
1,059Hours (in match)
2,810Bombs planted
558Bombs defused

Most-used weapons

AK-4712,088
AWP11,557
Tec-98,174
SSG 083,215
AUG2,297
P901,663

Lifetime map wins

2,642dust2
1,730inferno
1,426nuke
866office
549train
525vertigo
100cbble
93lake

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.

49.9%Headshot accuracy
38.1%Accuracy (enemy spotted)
37.5%Spray accuracy
87.9%Counter-strafing
7.1°Preaim
615msReaction time
44.5%T opening success
50.3%CT opening success
0.28Enemies flashed / flash
0.0%Flash assists
8.63HE damage / grenade
1.16Flashes / 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 0.2778 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
train8–130.0131%5 Oct →
dust213–5-0.0032%5 Sept →
mirage4–13-0.0440%5 Sept →
nuke12–120.0177%4 Aug →
mirage6–130.0134%4 Aug →
nuke5–13-0.0342%4 Aug →
dust213–11-0.0447%3 Aug →
office13–5-0.0763%27 Jul →
shelter13–7-0.0450%27 Jul →
dust213–90.1247%24 Jul →
inferno9–130.0264%23 Jul →
office13–40.0670%22 Jul →
dust25–130.0544%22 Jul →
mirage13–110.0134%22 Jul →
cache13–10-0.0546%20 Jul →
office9–130.0959%20 Jul →
nuke5–13-0.0056%20 Jul →
dust29–130.0329%20 Jul →
office10–130.0448%19 Jul →
office13–40.0771%19 Jul →
nuke11–130.0443%15 Jul →
mirage11–130.1149%15 Jul →
office13–90.0657%15 Jul →
office13–110.0146%14 Jul →
office13–5-0.0075%14 Jul →
dust22–130.0356%13 Jul →
cache4–13-0.0563%13 Jul →
vertigo12–12-0.0342%13 Jul →
dust28–13-0.0345%12 Jul →
cache13–80.0552%12 Jul →
mirage6–130.0639%12 Jul →
nuke13–00.0943%11 Jul →
dust29–130.0167%11 Jul →
office8–130.0857%11 Jul →
mirage13–5-0.0448%11 Jul →
cache13–110.0237%11 Jul →
office13–80.0362%9 Jul →
cache3–13-0.0354%9 Jul →
office13–30.0145%9 Jul →
office13–50.0163%8 Jul →
office8–13-0.0248%8 Jul →
office9–130.1161%8 Jul →
office6–00.1460%8 Jul →
nuke7–13-0.0745%8 Jul →
dust213–60.0138%8 Jul →
dust213–50.0350%8 Jul →
dust213–8-0.0150%7 Jul →
dust213–30.1052%7 Jul →
vertigo7–130.0442%7 Jul →
nuke13–7-0.0436%7 Jul →
dust210–130.0631%7 Jul →
dust213–70.1446%7 Jul →
nuke8–13-0.0138%7 Jul →
mirage9–130.0443%6 Jul →
cache4–13-0.0857%6 Jul →
dust212–12-0.0350%6 Jul →
mirage11–130.0332%6 Jul →
cache12–120.0215%6 Jul →
dust212–120.0427%6 Jul →
mirage8–130.0230%5 Jul →
mirage13–10-0.0441%5 Jul →
dust28–130.0427%5 Jul →
dust23–60.0140%5 Jul →
mirage4–13-0.0445%5 Jul →
nuke4–9-0.0038%5 Jul →
mirage13–30.0450%4 Jul →
mirage13–10-0.0259%4 Jul →
dust23–100.0113%4 Jul →
nuke13–110.0067%4 Jul →
cache13–40.0342%3 Jul →
italy13–20.1338%3 Jul →
dust213–70.0248%3 Jul →
mirage8–13-0.0144%3 Jul →
dust212–120.0145%1 Jul →
cache8–13-0.0754%22 Jun →
nuke7–13-0.0846%22 Jun →
mirage13–4-0.0331%18 Jun →
dust211–13-0.0833%18 Jun →
nuke5–90.0136%17 Jun →
vertigo7–130.0742%17 Jun →
office7–130.0557%17 Jun →
dust213–5-0.0425%11 Jun →
cache13–7-0.0255%11 Jun →
nuke9–130.0240%31 May →
dust213–90.0239%31 May →
mirage12–12-0.0436%31 May →
dust212–12-0.0135%30 May →
vertigo3–13-0.0622%30 May →
mirage9–6-0.029%30 May →
cache13–10-0.0035%30 May →
overpass12–12-0.0721%29 May →
mirage10–10.0910%29 May →
anubis6–13-0.0530%29 May →
dust24–13-0.0629%29 May →
alpine13–90.0229%29 May →
cache13–30.1133%15 May →
office6–130.0253%15 May →
cache13–110.0830%15 May →
mirage9–13-0.0126%15 May →
vertigo13–50.0012%15 May →

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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