bleh

bleh — CS2 Stats

BG76561199801745526[U:1:1841479798]Steam profile ↗✓ No bans

1,040Tracked matches43%Win rate2025Tracked since
2,100Hours in CS85Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 9 · 1,167 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

15,510Peak Premier in tracked matches
1,167Highest Faceit ELO seen on CSDB
39Days played since 2026-07-16

Faceit ELO

  • At peak — 1,167
  • Next: Level 6 at 1,201 — 34 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate61.6%48.2%50.9%above
Shot accuracy0.0%13.2%13.7%13.7% short
Kill/death ratio0.941.071.090.14 short
Match win rate45.2%46.9%48.4%3.2% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGblehFACEITLevel 9 · 1,167 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,167csdb.gg/stats

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Performance scores

Aim88
Positioning63
Utility43

0–100 skill scores via Leetify.

Recent form

COLD37–59–4Last 10037%Win rateLLWLLLLLWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +7.1pp headshot accuracy · −47ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 529ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 552ms

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 (+1.9 against its own average).

Aim8.8
Utility4.3
Positioning6.3
Opening Duels3.4
Clutch3.6

Sharp aimerExcellent counter-strafing

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 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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. 551ms 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

Aim8.8
Positioning6.3
Utility4.3
Mechanics8.7
Opening Duels4.8
Win Impact2.8

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time554ms−25ms
first ⅓ avg 579ms → last ⅓ avg 554ms
Headshot accuracy19.6%−3.9%
first ⅓ avg 23.5% → last ⅓ avg 19.6%

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

0.27Best match rating · 9–1 · inferno, 18 Jul →
67%Best headshot accuracy · 2–9 · inferno, 3 Aug →
313msFastest reaction time · 2–9 · inferno, 5 Aug →
13–2Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–14In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 55% over 11dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC4917–3235%-0.01
ancientA116–555%0.01
mirageA116–555%0.02
dust2D92–722%-0.03
anubisD82–625%-0.02
cacheD62–433%-0.03
nukeC52–340%-0.02
eldorado—10–10%-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,919Lifetime kills
0.94K/D
2,725Matches
45.2%Match win rate
61.6%Headshot % · Top 10% of Level 9 players
0.0%Shot accuracy
8,479MVPs
1,182Hours (in match)
2,575Bombs planted
597Bombs defused

Most-used weapons

AK-4735,517
AWP6,179
MP9868
Knife843

Lifetime map wins

6,928inferno
4,857dust2
1,844nuke
253vertigo
153train
8italy
2ar_shoots
2ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

964Matches
50%Win rate
1.05Avg K/D
76.6ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage28148%1.0515.4
Dust222951%1.0315.8
Anubis13745%1.0416.4
Ancient12459%1.0315.9
Inferno7649%1.0016.4
Nuke7544%1.1016.4
Cache2748%1.0115.6
Overpass1267%1.4515.6

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.3%Headshot accuracy
37.7%Accuracy (enemy spotted)
42.0%Spray accuracy
89.1%Counter-strafing
8.5°Preaim
551msReaction time
50.9%T opening success
47.4%CT opening success
0.38Enemies flashed / flash
5.0%Flash assists
6.36HE damage / grenade
11.46Flashes / 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 0.3787 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.033%1 Nov →
anubis5–100.0222%1 Nov →
nuke13–110.0230%1 Nov →
dust29–130.0147%31 Oct →
anubis15–19-0.0610%31 Oct →
dust25–13-0.0431%30 Oct →
anubis8–130.0229%19 Oct →
dust214–160.0426%9 Oct →
inferno13–110.0324%7 Oct →
inferno9–60.0827%6 Oct →
dust29–13-0.0614%4 Oct →
ancient7–13-0.0118%4 Oct →
ancient13–110.0116%4 Oct →
nuke7–13-0.0611%4 Oct →
anubis13–8-0.0412%4 Oct →
inferno9–60.1035%3 Oct →
cache13–20.0721%3 Oct →
inferno7–13-0.0417%3 Oct →
nuke6–13-0.1019%3 Oct →
inferno9–20.1615%3 Oct →
ancient13–10-0.0517%3 Oct →
dust24–13-0.0612%3 Oct →
cache13–100.0322%2 Oct →
cache15–19-0.0420%2 Oct →
mirage25–22-0.0029%28 Sept →
anubis9–13-0.048%27 Sept →
mirage11–13-0.048%27 Sept →
mirage16–130.0310%27 Sept →
ancient13–70.0417%24 Sept →
inferno13–70.0218%24 Sept →
inferno13–11-0.0119%24 Sept →
dust213–100.0124%21 Sept →
cache1–13-0.1218%19 Sept →
nuke11–130.0518%18 Sept →
inferno9–70.0735%18 Sept →
ancient8–13-0.0244%14 Sept →
mirage13–40.0723%12 Sept →
dust29–13-0.0510%3 Sept →
cache9–13-0.0726%3 Sept →
ancient13–70.1618%3 Sept →
anubis8–13-0.0223%2 Sept →
mirage4–13-0.0232%2 Sept →
ancient13–70.0122%28 Aug →
mirage13–60.0426%28 Aug →
inferno9–5-0.0323%25 Aug →
inferno7–9-0.0837%25 Aug →
mirage17–190.0326%12 Aug →
mirage13–50.1518%12 Aug →
inferno3–9-0.0433%11 Aug →
inferno7–9-0.0427%11 Aug →
inferno14–160.0122%11 Aug →
inferno3–9-0.1041%11 Aug →
inferno7–9-0.099%11 Aug →
ancient4–9-0.0218%5 Aug →
anubis13–60.0533%5 Aug →
inferno9–50.1436%5 Aug →
inferno19–16-0.0133%5 Aug →
inferno2–9-0.1911%5 Aug →
eldorado5–9-0.1230%3 Aug →
inferno5–90.0615%3 Aug →
inferno9–3-0.0320%3 Aug →
inferno3–9-0.2113%3 Aug →
inferno13–90.0221%3 Aug →
inferno5–60.1324%3 Aug →
inferno6–9-0.0210%3 Aug →
inferno2–9-0.0967%3 Aug →
ancient16–19-0.0216%2 Aug →
anubis14–16-0.054%31 Jul →
inferno9–13-0.0325%31 Jul →
mirage11–13-0.0617%31 Jul →
ancient13–70.0223%31 Jul →
inferno7–90.0126%29 Jul →
nuke13–6-0.0132%29 Jul →
inferno4–9-0.0920%27 Jul →
inferno8–80.0440%27 Jul →
dust213–7-0.0122%27 Jul →
inferno2–9-0.118%25 Jul →
inferno9–10.2745%25 Jul →
inferno7–90.0326%24 Jul →
inferno8–8-0.0315%24 Jul →
inferno6–9-0.0918%24 Jul →
inferno7–9-0.0317%24 Jul →
inferno6–90.0017%24 Jul →
inferno9–6-0.0012%24 Jul →
mirage13–110.0023%22 Jul →
dust26–13-0.0817%22 Jul →
inferno5–9-0.1329%22 Jul →
mirage9–13-0.0419%22 Jul →
cache3–13-0.0613%21 Jul →
inferno8–80.0036%20 Jul →
inferno2–9-0.1029%20 Jul →
inferno9–60.0053%20 Jul →
inferno7–13-0.0415%19 Jul →
inferno9–20.2138%18 Jul →
inferno9–10.2722%18 Jul →
ancient8–13-0.0518%18 Jul →
inferno9–13-0.0422%17 Jul →
inferno8–8-0.090%16 Jul →
inferno2–9-0.1714%16 Jul →
inferno1–9-0.1060%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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