bloodwork

bloodwork — CS2 Stats

76561198307211313[U:1:346945585]Steam profile ↗✓ No bans

394Tracked matches60%Win rate2021Tracked since
CSDB Rating6.8 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

+67Tracked matches · now 394
+15.2ppWin rate · 44.8% → 60.0%

Rating over time

15,528Peak Premier in tracked matches
44Days played since 2026-04-23

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

Share this profile

CSDB.GGbloodworkFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim74
Positioning68
Utility53

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWWWWWLLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −0.9pp headshot accuracy · +17ms reaction

Win rate up 40pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 563ms

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 (+1.6 against its own average).

Aim7.4
Utility5.3
Positioning6.8
Opening Duels2.7
Clutch5.8

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

iM

Plays most like iM 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 552ms 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

Aim7.4
Positioning6.8
Utility5.3
Mechanics7.0
Opening Duels5.7
Win Impact8.3

Composite 6.8/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time551ms−119ms
first ⅓ avg 670ms → last ⅓ avg 551ms
Headshot accuracy15.8%−3.3%
first ⅓ avg 19.1% → last ⅓ avg 15.8%

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 · 13–5 · dust2, 17 Oct →
35%Best headshot accuracy · 1–13 · ancient, 16 May →
406msFastest reaction time · 5–13 · mirage, 17 Oct →
13–1Biggest win · dust2, 2 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
7–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 67% over 15ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.01
mirageC2511–1444%-0.00
cacheA159–660%0.02
anubisS1510–567%0.00
ancientD103–730%0.00
nukeB63–350%0.01
inferno—20–20%0.02
poseidon—10–10%-0.04
overpass—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

99Matches
51%Win rate
1.02Avg K/D
75.3ADR
38%Headshot %

Clutches & streaks

49%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2642%1.0215.8
Dust22458%1.0515.7
Anubis1567%1.2215.3
Ancient1540%0.9215.7
Nuke944%0.9214.6
Cache5100%1.1913.8
Inferno40%0.6112.0
Vertigo10%0.406.0

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.

16.1%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.3%Spray accuracy
81.4%Counter-strafing
9.5°Preaim
552msReaction time
65.6%T opening success
40.3%CT opening success
0.59Enemies flashed / flash
6.3%Flash assists
8.71HE damage / grenade
8.26Flashes / match

Recommended for you

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–6-0.075%29 Oct →
dust213–20.0522%28 Oct →
cache13–10-0.0113%26 Oct →
mirage13–100.0424%26 Oct →
anubis13–70.049%25 Oct →
mirage13–9-0.0514%25 Oct →
dust211–13-0.0113%25 Oct →
mirage10–13-0.0417%24 Oct →
mirage13–11-0.0113%24 Oct →
cache13–110.0622%23 Oct →
mirage5–70.0431%22 Oct →
dust213–16-0.0218%21 Oct →
dust213–80.0319%21 Oct →
anubis13–4-0.038%21 Oct →
mirage8–13-0.0317%19 Oct →
mirage4–13-0.0421%19 Oct →
anubis4–13-0.060%18 Oct →
dust213–6-0.0319%18 Oct →
anubis12–160.0010%18 Oct →
mirage13–10-0.0319%18 Oct →
mirage12–16-0.0221%18 Oct →
ancient14–16-0.0316%17 Oct →
dust213–60.0516%17 Oct →
mirage13–50.0311%17 Oct →
anubis7–130.0112%17 Oct →
dust213–8-0.0310%17 Oct →
dust210–130.0322%17 Oct →
anubis13–100.047%17 Oct →
anubis13–80.0229%17 Oct →
ancient13–100.0430%17 Oct →
dust213–50.1418%17 Oct →
cache13–20.057%17 Oct →
mirage5–13-0.0313%17 Oct →
mirage13–80.0115%17 Oct →
inferno8–130.028%16 Oct →
dust216–120.0616%16 Oct →
dust27–13-0.066%15 Oct →
anubis6–00.019%15 Oct →
dust213–9-0.0129%15 Oct →
dust216–130.0234%14 Oct →
dust213–11-0.0022%10 Oct →
anubis4–13-0.068%10 Oct →
anubis13–8-0.0219%10 Oct →
nuke14–16-0.096%7 Oct →
cache13–70.0629%7 Oct →
dust211–13-0.0414%5 Oct →
mirage9–13-0.056%5 Oct →
mirage14–16-0.0012%3 Oct →
ancient5–13-0.0711%3 Oct →
mirage9–130.0210%3 Oct →
mirage8–13-0.0211%27 Sept →
ancient13–80.0617%27 Sept →
anubis13–30.0912%27 Sept →
mirage13–110.0422%27 Sept →
dust27–130.0223%25 Sept →
anubis10–13-0.0011%25 Sept →
mirage13–90.0513%20 Sept →
ancient11–130.0213%19 Sept →
mirage13–60.1324%19 Sept →
nuke13–60.0323%19 Sept →
anubis13–110.0321%19 Sept →
anubis13–9-0.0117%18 Sept →
dust213–90.0135%18 Sept →
mirage16–19-0.018%18 Sept →
ancient13–110.0316%18 Sept →
mirage16–130.0414%18 Sept →
ancient10–13-0.0212%16 Sept →
mirage11–13-0.0517%16 Sept →
inferno11–130.0215%16 Sept →
dust214–16-0.0019%16 Sept →
ancient17–19-0.0116%13 Sept →
anubis13–10-0.0518%13 Sept →
mirage1–13-0.078%4 Sept →
dust213–10.036%2 Aug →
nuke7–130.0123%25 Jul →
dust213–60.1027%3 Jul →
cache1–4-0.010%3 Jul →
mirage13–40.0813%27 Jun →
nuke13–5-0.0117%28 May →
ancient4–13-0.0016%28 May →
dust29–130.0735%16 May →
mirage5–13-0.0729%16 May →
ancient1–13-0.0135%16 May →
cache9–13-0.0324%14 May →
poseidon5–9-0.0431%10 May →
cache7–130.0316%9 May →
cache13–70.1229%9 May →
dust212–120.0119%8 May →
cache13–60.0629%5 May →
cache10–13-0.0419%1 May →
cache13–10.0616%1 May →
cache13–5-0.0126%30 Apr →
cache11–13-0.0812%29 Apr →
cache3–13-0.0615%29 Apr →
cache13–80.0510%29 Apr →
dust28–13-0.0617%28 Apr →
dust28–13-0.048%26 Apr →
nuke13–110.0426%24 Apr →
overpass13–40.0224%23 Apr →
nuke11–130.0619%23 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.