Banelock_

Banelock_ — CS2 Stats

76561198041789102[U:1:81523374]Steam profile ↗✓ No bans

616Tracked matches50%Win rate2024Tracked since
CSDB Rating2.0 LearningSupport
Premier CS Rating4,867Grey band · top ~79.4% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 24 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 4,867 +2,344 28 Jul22 Sept · 17 days played
2,5234,867peak 4,86728 Jul22 Sept
4,867Peak Premier in tracked matches
36Days played since 2026-07-24

Premier CS Rating

  • At peak — 4,867
  • +1,033 over 30 days · improving
  • Next: Light Blue band at 5,000 133 to go

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

Share this profile

CSDB.GGBanelock_PREMIER4,867 · Grey 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

Aim15
Positioning26
Utility39

0–100 skill scores via Leetify.

Recent form

COLD49456Last 10049%Win rateWWLLLTLLWT

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.9pp headshot accuracy · +96ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 641ms

Last 10

  • 352 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 629ms

Last 20

  • 893 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 581ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim1.5
Utility3.9
Positioning2.6
Opening Duels0.0

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

NiKo

Plays most like NiKo 63% 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

CT openings. Opening success drops from 34% on T to 17% on CT — first contacts on the defending side are being lost.

Reaction time. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim1.5
Positioning2.6
Utility3.9
Mechanics1.0
Opening Duels0.5
Win Impact5.0

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time598ms−63ms
first ⅓ avg 662ms → last ⅓ avg 598ms
Headshot accuracy10.9%+0.5%
first ⅓ avg 10.5% → last ⅓ avg 10.9%

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

0.05Best match rating · 13–5 · anubis, 7 Aug
29%Best headshot accuracy · 7–0 · ancient, 8 Aug
391msFastest reaction time · 13–6 · nuke, 28 Aug
13–1Biggest win · inferno, 26 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
23In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 64% over 11vertigoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB25131252%-0.06
cacheA169756%-0.07
nukeB158753%-0.05
anubisB136746%-0.04
ancientA117464%-0.05
vertigoC52340%-0.04
dust231233%-0.05
boulder32167%-0.07
mirage2020%-0.07
office2020%-0.06
overpass21150%-0.08
italy1010%-0.10
train1010%0.01
fachwerk1010%-0.07

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.4%Headshot accuracy
27.7%Accuracy (enemy spotted)
31.2%Spray accuracy
54.4%Counter-strafing
13.9°Preaim
598msReaction time
34.0%T opening success
16.5%CT opening success
0.38Enemies flashed / flash
2.1%Flash assists
7.21HE damage / grenade
2.42Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9405° — above the 12° mark we flag

    Aim Training
  2. 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 10.3635% — below the 15% mark we flag

    Aim Training
  3. 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 0.3839 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Vertigo

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–5-0.0719%22 Sept
nuke13–9-0.037%22 Sept
cache10–13-0.075%22 Sept
inferno6–13-0.0916%21 Sept
dust211–13-0.0210%21 Sept
boulder12–12-0.015%19 Sept
vertigo2–13-0.133%19 Sept
nuke8–13-0.069%18 Sept
cache13–4-0.034%18 Sept
vertigo12–12-0.0114%14 Sept
inferno9–13-0.065%13 Sept
nuke12–12-0.0710%13 Sept
ancient13–10-0.1013%13 Sept
inferno8–13-0.106%13 Sept
nuke13–9-0.0119%13 Sept
anubis13–4-0.0617%12 Sept
inferno13–80.0017%12 Sept
nuke5–13-0.084%12 Sept
cache5–13-0.0815%11 Sept
inferno13–3-0.1017%11 Sept
dust213–8-0.0413%11 Sept
mirage5–13-0.1123%11 Sept
cache13–3-0.027%10 Sept
boulder13–3-0.015%9 Sept
nuke6–13-0.0313%9 Sept
anubis3–13-0.090%9 Sept
anubis13–6-0.014%8 Sept
nuke12–12-0.0310%8 Sept
vertigo13–8-0.037%6 Sept
anubis10–13-0.0913%6 Sept
inferno4–13-0.0319%6 Sept
italy4–13-0.1020%6 Sept
anubis9–13-0.0413%5 Sept
nuke13–90.009%5 Sept
anubis7–13-0.080%5 Sept
inferno13–9-0.089%4 Sept
mirage11–13-0.0214%4 Sept
anubis13–3-0.010%1 Sept
office6–13-0.026%1 Sept
cache13–7-0.0712%31 Aug
office7–13-0.106%30 Aug
anubis9–13-0.095%30 Aug
ancient9–13-0.105%30 Aug
cache13–8-0.0014%28 Aug
nuke13–6-0.068%28 Aug
inferno9–3-0.0711%27 Aug
inferno11–60.0310%27 Aug
anubis13–5-0.024%27 Aug
cache7–13-0.083%27 Aug
nuke13–4-0.047%27 Aug
ancient7–10.0314%27 Aug
inferno10–13-0.0810%26 Aug
inferno13–1-0.020%26 Aug
cache13–3-0.1214%26 Aug
cache13–7-0.049%19 Aug
anubis10–13-0.0511%19 Aug
inferno9–13-0.084%19 Aug
train10–130.0110%19 Aug
ancient13–7-0.090%16 Aug
inferno0–13-0.0714%16 Aug
overpass13–11-0.0214%15 Aug
nuke13–6-0.045%15 Aug
anubis13–50.036%15 Aug
ancient6–13-0.0710%12 Aug
inferno8–8-0.089%12 Aug
boulder6–0-0.210%9 Aug
fachwerk8–13-0.074%9 Aug
inferno13–50.0510%9 Aug
cache5–13-0.0611%9 Aug
ancient13–2-0.0119%9 Aug
cache7–13-0.028%8 Aug
ancient7–0-0.0129%8 Aug
inferno13–6-0.0318%8 Aug
ancient13–9-0.0313%8 Aug
cache13–11-0.092%8 Aug
ancient13–8-0.0111%7 Aug
nuke0–13-0.120%7 Aug
inferno13–6-0.0812%7 Aug
anubis13–50.059%7 Aug
anubis8–13-0.105%6 Aug
nuke13–1-0.0119%4 Aug
inferno11–13-0.104%4 Aug
inferno13–10-0.0717%4 Aug
ancient12–12-0.127%31 Jul
overpass2–9-0.1529%31 Jul
vertigo13–80.058%31 Jul
cache13–4-0.145%31 Jul
ancient7–13-0.064%30 Jul
inferno13–50.036%30 Jul
vertigo4–13-0.079%30 Jul
inferno13–6-0.0710%29 Jul
inferno3–9-0.216%29 Jul
inferno4–13-0.085%28 Jul
inferno13–50.024%28 Jul
inferno7–13-0.0213%26 Jul
nuke13–9-0.0512%26 Jul
cache7–13-0.118%26 Jul
dust26–13-0.0917%26 Jul
nuke3–10-0.1213%25 Jul
cache8–13-0.097%24 Jul

Match data via Leetify.

Recent teammates

Milestones

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