BlanKo

BlanKo — CS2 Stats

DK76561197960279339[U:1:13611]Steam profile ↗✓ No bans

1,131Tracked matches50%Win rate2025Tracked since
1,269Hours in CS34Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating13,137Blue band · top ~38.3% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). 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: 13,137 +1,387 6 Sept – 28 Oct · 31 days played
11,03514,226peak 14,2266 Sept28 Oct
14,226Peak Premier in tracked matches
30Days played since 2026-09-06

Premier CS Rating

  • 1,089 below peak (14,226)
  • +1,570 over 30 days · improving
  • Next: Purple band at 15,000 — 1,863 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-06
  • Light Blue band first seen 2026-09-06

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.3%42.0%44.4%1.1% short
Shot accuracy5.7%9.6%11.9%6.2% short
Kill/death ratio1.050.981.03meets
Match win rate44.6%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGBlanKoPREMIER13,137 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateLLWLLWWWLT

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.0pp headshot accuracy · −40ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 552ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 593ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 613ms

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 (+1.2 against its own average).

Aim4.4
Utility5.2
Positioning5.6
Opening Duels2.4

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

Twistzz

Plays most like Twistzz 73% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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 36% on CT — first contacts on the defending side are being lost.

Reaction time. 603ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning5.6
Utility5.2
Mechanics4.1
Opening Duels5.3
Win Impact5.0

Composite 4.6/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time597ms−1ms
first ⅓ avg 598ms → last ⅓ avg 597ms
Headshot accuracy10.8%−3.1%
first ⅓ avg 13.9% → last ⅓ avg 10.8%

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

0.23Best match rating · 9–1 · inferno, 21 Oct →
34%Best headshot accuracy · 3–13 · dust2, 15 Oct →
422msFastest reaction time · 3–13 · mirage, 1 Oct →
13–1Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 61% over 28mirageWeakest map · 8% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2817–1161%0.01
nukeA2414–1058%0.00
mirageD131–128%-0.02
dust2D123–925%-0.02
anubisB105–550%-0.03
ancientA95–456%-0.01
cache—42–250%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (8% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,217Lifetime kills
1.05K/D · Top 50% of Blue band
2,206Matches
44.6%Match win rate · Top 50% of Blue band
43.3%Headshot % · Top 50% of Blue band
5.7%Shot accuracy
5,538MVPs
637Hours (in match)
2,401Bombs planted
511Bombs defused

Most-used weapons

Lifetime map wins

5,971inferno
2,719nuke
2,099dust2
121safehouse
62lake
41train
36stmarc
33office

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

Skill profile

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

9.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.1%Spray accuracy
68.3%Counter-strafing
11.8°Preaim
603msReaction time
66.3%T opening success
35.9%CT opening success
0.45Enemies flashed / flash
4.4%Flash assists
13.07HE damage / grenade
4.99Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.199% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4513 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 35.9178% — 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.

8% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0114%28 Oct →
nuke4–130.008%28 Oct →
nuke13–70.0116%28 Oct →
nuke7–13-0.0810%27 Oct →
inferno5–13-0.067%27 Oct →
nuke13–7-0.0112%26 Oct →
ancient13–3-0.0114%26 Oct →
inferno13–9-0.054%25 Oct →
mirage11–13-0.0313%25 Oct →
nuke15–15-0.029%25 Oct →
mirage7–13-0.0111%24 Oct →
nuke13–100.0113%24 Oct →
nuke13–60.0612%24 Oct →
inferno13–100.016%24 Oct →
mirage5–13-0.039%23 Oct →
nuke13–7-0.015%23 Oct →
mirage8–130.0520%23 Oct →
anubis15–15-0.076%22 Oct →
inferno13–20.0010%22 Oct →
inferno13–11-0.034%21 Oct →
inferno10–13-0.009%21 Oct →
nuke6–13-0.0012%21 Oct →
inferno9–10.2316%21 Oct →
inferno8–80.0224%21 Oct →
inferno12–16-0.015%20 Oct →
dust213–11-0.006%20 Oct →
dust28–13-0.062%20 Oct →
nuke7–13-0.0312%19 Oct →
ancient7–13-0.084%19 Oct →
inferno3–9-0.0827%19 Oct →
inferno3–9-0.2014%19 Oct →
anubis9–8-0.0411%18 Oct →
nuke13–80.0214%18 Oct →
ancient13–90.056%18 Oct →
nuke13–10-0.0712%17 Oct →
inferno13–1-0.0011%17 Oct →
nuke4–13-0.0717%17 Oct →
nuke13–9-0.018%16 Oct →
mirage13–9-0.0514%16 Oct →
inferno13–70.0613%16 Oct →
nuke4–13-0.0616%15 Oct →
dust23–13-0.0234%15 Oct →
nuke11–130.038%15 Oct →
inferno8–80.074%15 Oct →
inferno8–8-0.005%15 Oct →
nuke13–110.0410%14 Oct →
anubis14–16-0.0418%14 Oct →
mirage15–15-0.019%13 Oct →
nuke13–70.039%13 Oct →
dust28–13-0.0514%13 Oct →
dust213–10-0.0020%13 Oct →
mirage8–130.0217%13 Oct →
ancient16–140.005%13 Oct →
inferno13–40.0715%12 Oct →
ancient14–16-0.0010%12 Oct →
dust211–130.0214%11 Oct →
nuke5–130.0313%11 Oct →
inferno16–130.0014%11 Oct →
nuke13–70.0518%11 Oct →
mirage8–13-0.059%11 Oct →
anubis6–13-0.0315%10 Oct →
cache13–6-0.0413%10 Oct →
nuke13–5-0.0014%10 Oct →
cache6–13-0.025%10 Oct →
inferno16–12-0.0013%9 Oct →
dust215–15-0.0010%9 Oct →
anubis11–13-0.049%9 Oct →
mirage11–13-0.0311%8 Oct →
cache11–13-0.0511%8 Oct →
dust210–130.0115%8 Oct →
nuke11–130.0111%8 Oct →
anubis9–130.0311%8 Oct →
inferno13–90.0312%7 Oct →
inferno13–70.038%7 Oct →
ancient13–40.0410%7 Oct →
inferno13–4-0.0222%7 Oct →
inferno16–120.018%6 Oct →
cache13–8-0.0025%6 Oct →
nuke13–10.065%6 Oct →
dust27–13-0.0424%5 Oct →
dust216–14-0.0513%4 Oct →
nuke13–50.0715%2 Oct →
inferno13–110.0217%2 Oct →
inferno13–10.083%2 Oct →
ancient10–13-0.0116%2 Oct →
dust24–13-0.0624%2 Oct →
ancient3–13-0.0920%2 Oct →
mirage9–130.0313%2 Oct →
ancient13–11-0.0112%1 Oct →
mirage3–13-0.0814%1 Oct →
mirage9–13-0.0733%30 Sept →
inferno10–13-0.046%30 Sept →
dust211–13-0.0411%30 Sept →
anubis13–4-0.048%29 Sept →
anubis13–60.0210%29 Sept →
anubis13–5-0.0213%29 Sept →
mirage10–13-0.0014%29 Sept →
inferno15–150.0219%29 Sept →
inferno13–30.164%29 Sept →
anubis13–10-0.0420%27 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 →

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