☆BloodyDeath☆

☆BloodyDeath☆ — CS2 Stats

AT76561198120451030[U:1:160185302]Steam profile ↗✓ No bans

3,212Tracked matches39%Win rate2020Tracked since
5,611Hours in CS16Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating17,044Purple band · top ~20.3% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 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: 17,044 -2,304 28 Aug – 26 Oct · 37 days played
17,04420,740peak 20,74028 Aug26 Oct
20,801Peak Premier in tracked matches
38Days played since 2026-08-28

Premier CS Rating

  • 3,696 below peak (20,740)
  • -2,324 over 30 days · declining
  • Next: Pink band at 20,000 — 2,956 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-28

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate42.6%45.7%46.8%4.2% short
Shot accuracy10.9%12.7%13.0%2.1% short
Kill/death ratio0.831.051.060.23 short
Match win rate43.7%45.7%46.3%2.6% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG☆BloodyDeath☆FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER17,044 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning55
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWLLWLWLWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −6.3pp headshot accuracy · −36ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 525ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 556ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 574ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim8.3
Utility6.3
Positioning5.5
Opening Duels2.2
Clutch4.0

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

CT openings. Opening success drops from 54% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 586ms 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

Aim8.3
Positioning5.5
Utility6.3
Mechanics8.1
Opening Duels3.7
Win Impact1.4

Composite 6.3/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time581ms−0ms
first ⅓ avg 581ms → last ⅓ avg 581ms
Headshot accuracy22.3%+0.7%
first ⅓ avg 21.6% → last ⅓ avg 22.3%

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

0.08Best match rating · 13–5 · dust2, 13 Sept →
47%Best headshot accuracy · 1–13 · inferno, 16 Oct →
469msFastest reaction time · 10–13 · inferno, 11 Oct →
13–2Biggest win · cache, 20 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–3In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 75% over 8mirageWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.00
infernoB199–1047%-0.03
cacheB157–847%-0.03
nukeD134–931%-0.03
mirageD102–820%-0.01
ancientB84–450%-0.03
anubisS86–275%-0.01
fachwerk—10–10%-0.03
train—11–0100%0.06
office—11–0100%0.01
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,381Lifetime kills
0.83K/D
6,834Matches
43.7%Match win rate
42.6%Headshot %
10.9%Shot accuracy
11,387MVPs
2,749Hours (in match)
7,791Bombs planted
1,497Bombs defused

Most-used weapons

AK-4729,832
AWP16,153
MAC-102,158
MP92,081
FAMAS1,618

Lifetime map wins

38,809dust2
9,550inferno
2,259nuke
1,593vertigo
766train
253office
215lake
118safehouse

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

Faceit stats

Combat

307Matches
52%Win rate
0.97Avg K/D
72.1ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust27455%1.1715.2
Inferno4161%0.9313.5
Ancient2348%0.9314.2
Anubis2236%0.8915.0
Mirage1540%0.9114.1
Cache1164%0.9314.0
Nuke933%0.8913.9
Vertigo475%0.6815.8

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.

22.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
34.7%Spray accuracy
86.4%Counter-strafing
7.1°Preaim
586msReaction time
54.0%T opening success
35.8%CT opening success
0.68Enemies flashed / flash
8.9%Flash assists
8.26HE damage / grenade
8.57Flashes / 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

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

    CT opening duels 35.8036% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0217%26 Oct →
inferno6–13-0.0122%26 Oct →
dust29–130.0017%25 Oct →
ancient13–5-0.0113%25 Oct →
cache3–13-0.0319%25 Oct →
inferno13–10-0.0517%25 Oct →
dust29–13-0.0411%24 Oct →
anubis13–50.0128%24 Oct →
dust210–13-0.0519%24 Oct →
mirage13–160.0325%23 Oct →
ancient5–13-0.0321%23 Oct →
cache10–13-0.0125%22 Oct →
inferno13–70.0723%22 Oct →
cache10–13-0.0532%21 Oct →
inferno13–7-0.0510%20 Oct →
cache13–2-0.0721%20 Oct →
nuke10–13-0.0518%18 Oct →
inferno1–130.0047%16 Oct →
cache10–130.0630%16 Oct →
cache9–13-0.0622%16 Oct →
dust215–150.0432%16 Oct →
nuke7–13-0.0213%16 Oct →
nuke7–13-0.0621%15 Oct →
dust24–130.0437%14 Oct →
anubis13–60.0318%14 Oct →
mirage7–130.0025%14 Oct →
ancient13–9-0.0221%13 Oct →
nuke13–10-0.0021%13 Oct →
mirage15–150.0422%11 Oct →
inferno16–13-0.0524%11 Oct →
inferno10–13-0.0221%11 Oct →
fachwerk4–13-0.0324%8 Oct →
dust24–130.0124%8 Oct →
dust213–9-0.0014%7 Oct →
mirage10–13-0.0218%6 Oct →
anubis13–10-0.0221%6 Oct →
cache13–2-0.0526%3 Oct →
train13–50.0633%3 Oct →
dust215–15-0.0126%2 Oct →
dust216–13-0.0131%2 Oct →
inferno16–130.0223%2 Oct →
ancient13–8-0.0824%2 Oct →
cache12–1-0.0217%2 Oct →
nuke4–13-0.0413%1 Oct →
inferno5–13-0.0624%1 Oct →
inferno13–8-0.076%1 Oct →
ancient6–130.0122%1 Oct →
anubis13–8-0.0418%1 Oct →
nuke15–150.0024%1 Oct →
mirage11–13-0.038%1 Oct →
dust213–11-0.009%1 Oct →
ancient11–13-0.0530%30 Sept →
dust213–110.0118%30 Sept →
cache5–13-0.0614%30 Sept →
anubis10–13-0.0120%30 Sept →
nuke7–13-0.0221%30 Sept →
ancient8–13-0.0315%29 Sept →
mirage4–13-0.0827%29 Sept →
inferno15–15-0.0420%29 Sept →
anubis13–7-0.0328%29 Sept →
anubis5–13-0.0324%27 Sept →
cache16–14-0.0230%26 Sept →
inferno13–60.0119%26 Sept →
inferno1–13-0.0833%26 Sept →
cache13–10-0.047%26 Sept →
inferno5–13-0.0521%25 Sept →
nuke13–7-0.0314%25 Sept →
dust210–130.0232%25 Sept →
inferno8–13-0.0514%24 Sept →
mirage13–70.0429%24 Sept →
office13–100.0119%24 Sept →
vertigo13–8-0.0223%23 Sept →
dust216–13-0.0124%23 Sept →
inferno5–13-0.0615%22 Sept →
anubis16–120.0324%22 Sept →
dust24–13-0.0621%22 Sept →
cache6–13-0.0620%22 Sept →
dust210–13-0.0225%22 Sept →
inferno13–4-0.0524%22 Sept →
mirage8–13-0.073%21 Sept →
inferno13–9-0.0315%21 Sept →
cache4–13-0.0221%21 Sept →
cache13–6-0.0227%19 Sept →
nuke8–130.0222%19 Sept →
dust213–90.0322%13 Sept →
dust213–50.0841%13 Sept →
nuke13–90.0016%11 Sept →
ancient13–10-0.0136%11 Sept →
mirage7–13-0.0517%11 Sept →
nuke8–13-0.0722%10 Sept →
dust213–70.0526%10 Sept →
nuke11–13-0.0911%9 Sept →
cache13–10-0.0027%8 Sept →
dust25–13-0.0517%5 Sept →
dust211–5-0.0520%4 Sept →
dust210–13-0.0128%3 Sept →
dust210–13-0.0316%3 Sept →
nuke3–00.000%3 Sept →
dust213–100.0121%3 Sept →
inferno10–13-0.0336%2 Sept →

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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