biblebanger

biblebanger — CS2 Stats

US76561198125278786[U:1:165013058]Steam profile ↗✓ No bans

892Tracked matches48%Win rate2020Tracked since
5,779Hours in CS1Hrs last 2 wks
CSDB Rating6.2 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 892
0.0ppWin rate · 48.0% → 48.0%

Rating over time

41Days played since 2026-06-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches16——
Win rate38%——
K/D0.79——
Headshot %54%——

Measured 3 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim81
Positioning43
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY52–37–11Last 10052%Win rateLLLLWLWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +3.3pp headshot accuracy · +96ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 614ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 667ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 619ms

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 (+2.6 against its own average).

Aim8.1
Utility6.9
Positioning4.3
Opening Duels1.7
Clutch4.4

Excellent counter-strafingEffective flashes

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Reaction time. 574ms 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

Aim8.1
Positioning4.3
Utility6.9
Mechanics8.8
Opening Duels1.5
Win Impact4.3

Composite 6.2/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time581ms−64ms
first ⅓ avg 645ms → last ⅓ avg 581ms
Headshot accuracy21.3%−0.1%
first ⅓ avg 21.4% → last ⅓ avg 21.3%

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

0.11Best match rating · 13–7 · dust2, 3 Sept →
39%Best headshot accuracy · 7–13 · cache, 7 Jul →
359msFastest reaction time · 4–13 · nuke, 4 Sept →
13–1Biggest win · ancient, 23 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
2–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 78% over 18ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
cacheS1814–478%-0.02
dust2S1611–569%0.01
infernoC156–940%-0.02
mirageB147–750%-0.01
ancientC135–838%-0.02
nukeB115–645%-0.02
overpass—42–250%-0.05
anubis—31–233%-0.05
vertigo—30–30%-0.02
train—31–233%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,204Lifetime kills
0.87K/D
3,114Matches
43.1%Match win rate
49.4%Headshot % · Top 25% of tracked players
17.9%Shot accuracy · Top 10% of tracked players
6,412MVPs
3,913Hours (in match)
6,815Bombs planted
1,991Bombs defused

Most-used weapons

AK-4762,304
AWP10,834
P2504,037
Knife3,630
Tec-92,097
MP91,960

Lifetime map wins

14,052inferno
5,611dust2
4,737train
4,088nuke
1,038vertigo
899cbble
48office
9aztec

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

Faceit stats

Combat

536Matches
58%Win rate
0.97Avg K/D
73.3ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
28Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7149%0.9414.1
Inferno3043%0.7911.2
Ancient3047%0.7712.0
Nuke2959%0.9815.2
Dust21771%0.9813.5
Anubis1625%0.549.3
Train1182%1.3415.6
Vertigo757%0.8314.9

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.

21.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
31.6%Spray accuracy
89.5%Counter-strafing
7.8°Preaim
574msReaction time
36.8%T opening success
35.0%CT opening success
0.76Enemies flashed / flash
9.0%Flash assists
11.83HE damage / grenade
11.91Flashes / 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 36.7829% — below the 40% mark we flag

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.1220%22 Sept →
mirage5–13-0.0632%9 Sept →
inferno8–13-0.0118%8 Sept →
ancient3–130.0326%8 Sept →
cache13–100.0119%8 Sept →
nuke14–16-0.0622%8 Sept →
dust213–50.0117%7 Sept →
inferno13–9-0.0328%7 Sept →
ancient9–13-0.118%6 Sept →
inferno13–8-0.0627%6 Sept →
vertigo12–12-0.0439%4 Sept →
nuke4–13-0.0214%4 Sept →
dust213–60.0215%4 Sept →
dust213–70.1124%3 Sept →
inferno10–13-0.049%3 Sept →
mirage12–12-0.0324%3 Sept →
cache13–10-0.0227%3 Sept →
dust211–2-0.0115%3 Sept →
dust28–13-0.0116%2 Sept →
mirage2–3-0.110%31 Aug →
ancient12–12-0.0029%31 Aug →
nuke13–6-0.039%31 Aug →
inferno13–7-0.0019%27 Aug →
ancient10–13-0.0518%27 Aug →
inferno3–13-0.0622%27 Aug →
dust212–120.0531%20 Aug →
train11–13-0.0625%19 Aug →
dust212–12-0.0318%17 Aug →
nuke13–10-0.0026%17 Aug →
cache13–80.0230%17 Aug →
vertigo9–130.0129%16 Aug →
mirage12–12-0.0527%16 Aug →
inferno13–6-0.0219%16 Aug →
mirage13–20.0231%16 Aug →
dust213–6-0.0226%16 Aug →
cache13–10-0.0512%16 Aug →
inferno9–13-0.0317%13 Aug →
ancient13–4-0.0815%13 Aug →
dust213–70.0220%13 Aug →
train12–12-0.0417%13 Aug →
inferno16–13-0.0324%6 Aug →
cache13–3-0.1021%6 Aug →
nuke13–5-0.0218%5 Aug →
mirage13–10-0.0222%5 Aug →
nuke19–22-0.0119%1 Aug →
ancient13–2-0.0322%1 Aug →
cache13–40.0520%1 Aug →
ancient11–13-0.0413%30 Jul →
inferno14–160.0222%28 Jul →
mirage8–130.0919%24 Jul →
dust213–7-0.0131%21 Jul →
anubis13–9-0.0127%15 Jul →
cache13–3-0.0722%15 Jul →
mirage13–7-0.0227%14 Jul →
dust25–13-0.0531%11 Jul →
mirage13–110.0735%11 Jul →
vertigo7–13-0.0337%10 Jul →
inferno13–80.0223%10 Jul →
nuke11–130.0129%10 Jul →
cache7–13-0.0539%7 Jul →
dust213–40.0121%7 Jul →
cache13–7-0.0329%6 Jul →
cache13–7-0.0422%6 Jul →
mirage13–70.0530%6 Jul →
cache13–3-0.0119%28 Jun →
cache12–120.0130%27 Jun →
cache13–10-0.0521%27 Jun →
mirage13–90.0320%25 Jun →
cache13–9-0.0219%25 Jun →
ancient13–10-0.0419%25 Jun →
dust213–8-0.0025%25 Jun →
inferno8–13-0.0524%24 Jun →
nuke11–13-0.0717%24 Jun →
ancient13–10.0114%23 Jun →
overpass13–11-0.0322%23 Jun →
cache13–100.0417%23 Jun →
ancient6–13-0.0228%23 Jun →
cache13–90.0434%23 Jun →
train13–8-0.0020%22 Jun →
dust213–70.0929%22 Jun →
mirage12–12-0.0319%22 Jun →
cache4–13-0.0810%18 Jun →
mirage13–8-0.0619%18 Jun →
overpass7–13-0.0221%17 Jun →
mirage7–13-0.0719%17 Jun →
ancient3–130.0135%17 Jun →
dust213–8-0.0329%17 Jun →
inferno12–120.0620%16 Jun →
nuke5–13-0.0417%16 Jun →
nuke13–70.0221%16 Jun →
inferno10–13-0.0421%15 Jun →
anubis4–13-0.0327%15 Jun →
nuke13–40.0220%15 Jun →
ancient6–130.0018%15 Jun →
overpass7–3-0.1220%15 Jun →
ancient13–100.0215%12 Jun →
cache5–110.0325%12 Jun →
inferno12–120.0128%11 Jun →
dust26–13-0.0220%10 Jun →
overpass11–13-0.0315%10 Jun →

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 →

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