blaki-chan

blaki-chan — CS2 Stats

FR76561198209208340[U:1:248942612]Steam profile ↗✓ No bans

2,444Tracked matches57%Win rate2023Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating18,727Top 50% of 213,399 CSDB-tracked playersPurple band · top ~13.6% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+359Premier CS Rating · 18,368 → 18,727

Rating over time

Premier CS Rating: 18,727 -182 3 Aug – 5 Nov · 37 days played
15,71919,761peak 19,7613 Aug5 Nov
19,999Peak Premier in tracked matches
38Days played since 2026-08-03

Premier CS Rating

  • 1,034 below peak (19,761)
  • +1,741 over 30 days · improving
  • -956 over 90 days
  • Next: Pink band at 20,000 — 1,273 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGblaki-chanFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,727 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning63
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWWLWWWLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · +31ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 598ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 582ms

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 (+1.7 against its own average).

Aim6.9
Utility4.8
Positioning6.3
Opening Duels3.3
Clutch4.0

Limited 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

iM

Plays most like iM 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 37% on CT — first contacts on the defending side are being lost.

Reaction time. 575ms 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

Aim6.9
Positioning6.3
Utility4.8
Mechanics5.4
Opening Duels5.5
Win Impact7.2

Composite 6.1/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time577ms−55ms
first ⅓ avg 631ms → last ⅓ avg 577ms
Headshot accuracy19.4%+0.1%
first ⅓ avg 19.3% → last ⅓ avg 19.4%

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 · 13–2 · ancient, 7 Aug →
43%Best headshot accuracy · 13–1 · inferno, 24 Oct →
430msFastest reaction time · 11–13 · inferno, 24 Oct →
13–0Biggest win · anubis, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 65% over 23mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3416–1847%-0.01
infernoS2315–865%0.01
anubisA148–657%0.00
cacheB137–654%-0.01
ancientC73–443%-0.01
mirageD61–517%-0.03
train—11–0100%0.02
nuke—11–0100%-0.01
overpass—10–10%-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

328Matches
52%Win rate
1.06Avg K/D
84.4ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust29554%1.0716.1
Anubis6948%1.0816.5
Ancient6346%1.0315.0
Inferno4862%1.1616.2
Mirage2343%0.8815.2
Cache1553%0.9516.0
Nuke5100%1.3118.2
Vertigo560%1.0117.4

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
34.1%Accuracy (enemy spotted)
32.8%Spray accuracy
74.4%Counter-strafing
8.3°Preaim
575msReaction time
66.4%T opening success
37.3%CT opening success
0.50Enemies flashed / flash
6.8%Flash assists
12.60HE damage / grenade
3.79Flashes / 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 0.4962 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 37.3012% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0418%5 Nov →
dust213–11-0.0130%31 Oct →
mirage8–13-0.0333%30 Oct →
inferno13–80.0621%30 Oct →
dust213–70.0210%29 Oct →
inferno13–100.0219%25 Oct →
cache7–130.0121%25 Oct →
inferno11–13-0.0314%24 Oct →
inferno13–10.0343%24 Oct →
cache10–13-0.067%18 Oct →
dust213–6-0.0125%18 Oct →
inferno3–130.0220%17 Oct →
dust29–13-0.029%17 Oct →
dust213–50.0133%16 Oct →
dust213–4-0.029%15 Oct →
inferno7–130.0615%11 Oct →
dust24–13-0.0424%11 Oct →
train13–80.0234%11 Oct →
cache13–10-0.0619%11 Oct →
anubis13–00.0115%11 Oct →
mirage8–13-0.0511%10 Oct →
inferno13–70.0215%10 Oct →
inferno13–40.0542%10 Oct →
dust28–13-0.0121%10 Oct →
inferno7–13-0.0510%10 Oct →
inferno10–13-0.007%9 Oct →
nuke13–9-0.0120%8 Oct →
anubis13–6-0.0121%8 Oct →
anubis7–13-0.0513%8 Oct →
inferno13–110.0314%8 Oct →
dust213–60.0315%4 Oct →
inferno13–5-0.0016%4 Oct →
dust215–15-0.0116%4 Oct →
ancient7–13-0.0621%4 Oct →
mirage13–7-0.0017%4 Oct →
anubis13–3-0.0321%4 Oct →
inferno13–60.0516%3 Oct →
inferno8–13-0.0523%20 Sept →
inferno13–30.0634%20 Sept →
inferno13–70.0222%19 Sept →
dust27–13-0.0119%19 Sept →
anubis11–130.0013%18 Sept →
dust213–100.0716%18 Sept →
dust26–13-0.0713%3 Sept →
anubis7–13-0.0522%30 Aug →
cache13–11-0.0416%30 Aug →
dust211–13-0.0327%29 Aug →
inferno13–11-0.0223%29 Aug →
dust213–50.0217%28 Aug →
dust210–13-0.0227%27 Aug →
dust213–16-0.0116%27 Aug →
anubis8–13-0.0312%27 Aug →
dust28–130.0121%27 Aug →
dust213–80.0023%27 Aug →
dust213–70.0118%25 Aug →
anubis13–50.0914%25 Aug →
mirage8–13-0.0421%25 Aug →
ancient9–13-0.0516%25 Aug →
ancient3–13-0.1019%24 Aug →
cache13–8-0.0316%24 Aug →
anubis7–13-0.0021%23 Aug →
ancient16–130.0616%23 Aug →
inferno8–13-0.0725%23 Aug →
cache13–40.1022%23 Aug →
anubis13–80.1122%23 Aug →
dust213–60.0518%23 Aug →
cache13–80.0520%23 Aug →
cache8–13-0.0614%18 Aug →
dust214–16-0.0319%12 Aug →
anubis13–9-0.0113%12 Aug →
dust212–16-0.0320%11 Aug →
inferno13–80.0737%11 Aug →
cache13–70.0314%10 Aug →
dust211–13-0.0015%9 Aug →
mirage11–13-0.0129%9 Aug →
mirage10–13-0.0633%8 Aug →
anubis13–50.0519%8 Aug →
anubis11–13-0.0219%8 Aug →
dust24–13-0.0729%8 Aug →
inferno13–5-0.0616%8 Aug →
dust27–13-0.0414%8 Aug →
cache6–13-0.0514%8 Aug →
dust213–11-0.0214%8 Aug →
cache5–130.0019%8 Aug →
ancient13–20.1525%7 Aug →
cache14–16-0.0215%6 Aug →
overpass2–9-0.1110%6 Aug →
anubis13–8-0.0222%6 Aug →
dust24–13-0.0718%5 Aug →
dust24–13-0.0135%5 Aug →
dust216–130.0314%5 Aug →
dust213–5-0.0521%4 Aug →
ancient13–9-0.0412%4 Aug →
dust215–15-0.0016%4 Aug →
dust213–40.0421%4 Aug →
cache13–80.0414%4 Aug →
inferno13–40.0720%4 Aug →
ancient8–13-0.0521%4 Aug →
inferno8–8-0.0710%4 Aug →
dust213–60.0427%3 Aug →

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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