blaZKN

blaZKN — CS2 Stats

76561198049037617[U:1:88771889]Steam profile ↗✓ No bans

693Tracked matches47%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
FaceitLevel 10 · 1,798 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGblaZKNFACEITLevel 10 · 1,798 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning54
Utility55

0–100 skill scores via Leetify.

Recent form

HOT47–49–4Last 10047%Win rateWWLWWWWWLW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · +45ms reaction

Win rate up 60pp 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 -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 498ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 548ms

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 (+1.4 against its own average).

Aim6.8
Utility5.5
Positioning5.4
Opening Duels1.8
Clutch3.6

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 578ms 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

Aim6.8
Positioning5.4
Utility5.5
Mechanics7.0
Opening Duels2.2
Win Impact3.9

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time566ms−17ms
first ⅓ avg 583ms → last ⅓ avg 566ms
Headshot accuracy18.6%−0.3%
first ⅓ avg 18.9% → last ⅓ avg 18.6%

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

0.15Best match rating · 9–2 · inferno, 24 Sept →
42%Best headshot accuracy · 6–9 · inferno, 29 May →
375msFastest reaction time · 9–2 · inferno, 24 Sept →
13–1Biggest win · dust2, 9 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
10–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 60% over 20nukeWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%-0.02
ancientA2012–860%-0.02
cacheA169–756%-0.00
anubisB126–650%-0.01
nukeD101–910%-0.01
infernoC94–544%0.00
mirageD51–420%0.00
poseidon—41–325%-0.02
overpass—42–250%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

679Matches
53%Win rate
1.06Avg K/D
82.6ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust28955%1.0616.0
Mirage7053%1.0617.3
Nuke5648%1.0816.7
Ancient4753%1.0415.5
Anubis3551%0.9815.8
Inferno3250%1.2116.0
Overpass2748%1.1719.8
Cache2152%0.8913.3

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.

19.2%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.0%Spray accuracy
81.6%Counter-strafing
9.8°Preaim
578msReaction time
37.5%T opening success
39.8%CT opening success
0.61Enemies flashed / flash
12.8%Flash assists
7.35HE damage / grenade
6.78Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.4859% — below the 40% mark we flag

Spend your practice time on Nuke

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

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0125%25 Oct →
anubis13–80.0212%18 Oct →
dust214–16-0.0618%18 Oct →
cache13–5-0.0126%11 Oct →
ancient13–9-0.1012%11 Oct →
ancient13–10-0.0420%10 Oct →
cache13–40.0814%10 Oct →
nuke13–100.0217%10 Oct →
cache8–13-0.0414%10 Oct →
cache13–110.0630%3 Oct →
inferno9–20.158%24 Sept →
inferno8–8-0.1413%21 Sept →
anubis18–22-0.0419%15 Jul →
nuke11–130.0113%14 Jul →
dust28–13-0.0016%14 Jul →
ancient11–13-0.0517%13 Jul →
anubis6–13-0.0226%13 Jul →
ancient13–50.0221%11 Jul →
dust211–13-0.0421%11 Jul →
ancient3–13-0.1010%11 Jul →
cache13–9-0.0024%10 Jul →
ancient13–10-0.0013%10 Jul →
anubis2–13-0.056%9 Jul →
dust213–1-0.0025%9 Jul →
mirage13–160.0239%5 Jul →
dust26–13-0.0229%27 Jun →
mirage5–130.0222%27 Jun →
dust213–9-0.0123%27 Jun →
ancient6–13-0.0411%27 Jun →
dust26–13-0.065%27 Jun →
nuke3–13-0.0418%27 Jun →
ancient16–14-0.0219%26 Jun →
poseidon9–30.0630%26 Jun →
inferno4–9-0.1020%26 Jun →
inferno9–20.0627%26 Jun →
cache8–13-0.1010%26 Jun →
anubis16–14-0.0319%26 Jun →
ancient1–13-0.0520%24 Jun →
cache6–13-0.0625%24 Jun →
cache16–13-0.0219%24 Jun →
nuke10–130.0620%23 Jun →
anubis7–13-0.069%23 Jun →
dust27–13-0.0022%23 Jun →
mirage7–130.0417%17 Jun →
dust216–14-0.0314%17 Jun →
ancient13–110.0326%17 Jun →
nuke11–130.0437%17 Jun →
ancient13–70.0015%16 Jun →
mirage13–11-0.0118%16 Jun →
dust213–9-0.0440%15 Jun →
dust213–40.0935%15 Jun →
ancient5–13-0.0611%15 Jun →
ancient13–60.0312%14 Jun →
anubis13–10-0.0415%14 Jun →
cache13–50.0615%14 Jun →
mirage8–13-0.0536%14 Jun →
dust213–8-0.0529%14 Jun →
nuke10–13-0.0112%4 Jun →
ancient9–13-0.0028%1 Jun →
nuke3–13-0.0415%1 Jun →
nuke3–13-0.0813%1 Jun →
inferno4–9-0.0614%31 May →
inferno9–60.1122%30 May →
inferno6–90.0942%29 May →
nuke7–90.0237%28 May →
dust28–130.0326%28 May →
inferno9–5-0.0225%26 May →
cache5–130.0013%11 May →
overpass16–130.0121%10 May →
ancient13–60.0126%10 May →
dust213–10-0.0216%10 May →
ancient13–80.0013%7 May →
cache13–11-0.0122%7 May →
cache12–12-0.0413%7 May →
overpass12–160.0018%7 May →
overpass3–13-0.0413%4 May →
anubis8–13-0.0014%3 May →
dust219–16-0.0214%3 May →
cache13–8-0.0323%3 May →
cache13–50.0335%3 May →
cache8–13-0.0131%3 May →
ancient8–13-0.0518%2 May →
anubis13–9-0.017%1 May →
ancient8–13-0.0623%1 May →
ancient16–140.0241%1 May →
cache9–130.0526%1 May →
dust213–70.0525%8 Apr →
anubis13–110.0614%8 Apr →
dust22–13-0.0718%7 Apr →
overpass16–12-0.0617%31 Mar →
anubis13–100.1420%31 Mar →
nuke5–13-0.0815%31 Mar →
inferno1–6-0.070%31 Mar →
poseidon8–8-0.0316%31 Mar →
poseidon8–8-0.0214%31 Mar →
poseidon5–9-0.1115%31 Mar →
anubis9–13-0.0525%29 Mar →
dust23–13-0.0412%29 Mar →
ancient13–90.0520%29 Mar →
dust213–7-0.0126%29 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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