Boknabajas

Boknabajas — CS2 Stats

76561198098416164[U:1:138150436]Steam profile ↗✓ No bans

207Tracked matches33%Win rate2021Tracked since
CSDB Rating3.2 LearningPositional Player
FaceitLevel 4 · 1,020 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 18 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,128 +3,393 18 Jan14 Jun · 30 days played
3,7357,245peak 7,24518 Jan14 Jun
7,607Peak Premier in tracked matches
1,020Highest Faceit ELO seen on CSDB
46Days played since 2026-01-18

Faceit ELO

  • At peak — 1,020
  • Next: Level 5 at 1,051 31 to go
  • Reached: Level 4 · Level 3 · Level 2

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

Share this profile

CSDB.GGBoknabajasFACEITLevel 4 · 1,020 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,020csdb.gg/stats

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Performance scores

Aim33
Positioning47
Utility45

0–100 skill scores via Leetify.

Recent form

COLD39547Last 10039%Win rateWLLLLLTLLL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · −65ms reaction

Win rate down 40pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

Last 10

  • 181 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 598ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 630ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim3.3
Utility4.5
Positioning4.7
Opening Duels3.0
Clutch2.6

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

jL

Plays most like jL 65% 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

T-side openings. Opening success drops from 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim3.3
Positioning4.7
Utility4.5
Mechanics4.7
Opening Duels2.0
Win Impact0.0

Composite 3.2/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time626ms−29ms
first ⅓ avg 655ms → last ⅓ avg 626ms
Headshot accuracy13.0%+0.2%
first ⅓ avg 12.8% → last ⅓ avg 13.0%

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

0.07Best match rating · 13–6 · mirage, 8 Apr
32%Best headshot accuracy · 11–13 · dust2, 28 Apr
508msFastest reaction time · 15–15 · inferno, 2 Sept
13–1Biggest win · inferno, 8 Feb

Across the last 100 tracked matches.

Highlights

4Longest win streak
59In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 56% over 18dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC2081240%-0.03
mirageC2081240%-0.02
ancientA1810856%-0.03
dust2D1531220%-0.03
infernoB157847%-0.03
anubisD62433%-0.02
overpassD51420%-0.04
cache1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
40%Win rate
0.48Avg K/D
44.0ADR
58%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1100%0.327.0
Mirage10%0.6111.0
Inferno1100%0.649.0
Overpass10%0.295.0
Anubis10%0.538.0

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.

13.0%Headshot accuracy
29.2%Accuracy (enemy spotted)
33.8%Spray accuracy
71.0%Counter-strafing
12.2°Preaim
630msReaction time
28.8%T opening success
45.9%CT opening success
0.41Enemies flashed / flash
2.6%Flash assists
8.60HE damage / grenade
5.22Flashes / 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 12.2233° — 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 12.9623% — 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 0.4056 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Dust 2

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–4-0.0115%18 Sept
dust28–13-0.0017%6 Sept
cache9–13-0.0315%6 Sept
nuke4–13-0.087%4 Sept
mirage4–130.0510%4 Sept
ancient2–13-0.093%2 Sept
inferno15–150.018%2 Sept
mirage4–13-0.005%2 Sept
nuke6–130.0116%2 Sept
mirage4–130.016%12 Jul
dust211–13-0.0414%12 Jul
mirage4–130.0312%12 Jul
ancient11–30.0628%24 Jun
dust210–13-0.0511%24 Jun
overpass11–13-0.0323%14 Jun
ancient16–13-0.0911%14 Jun
mirage13–10-0.068%29 May
mirage16–14-0.056%19 May
mirage13–3-0.026%19 May
overpass14–16-0.0416%19 May
inferno13–11-0.0118%18 May
anubis15–15-0.0513%18 May
ancient7–13-0.0210%18 May
nuke7–13-0.0318%17 May
mirage13–9-0.057%12 May
nuke13–16-0.0514%7 May
ancient13–40.0126%7 May
ancient10–13-0.0510%29 Apr
dust211–130.0232%28 Apr
nuke15–150.028%28 Apr
nuke16–13-0.018%25 Apr
inferno13–8-0.0020%25 Apr
mirage3–13-0.0510%25 Apr
ancient13–10-0.0614%15 Apr
mirage13–11-0.0316%15 Apr
dust213–9-0.0421%14 Apr
overpass13–9-0.0716%13 Apr
inferno8–13-0.0821%12 Apr
nuke13–30.019%12 Apr
inferno15–15-0.066%9 Apr
mirage13–60.0724%8 Apr
nuke13–5-0.0913%8 Apr
nuke13–5-0.0719%8 Apr
mirage11–13-0.0420%8 Apr
nuke11–13-0.099%7 Apr
inferno13–7-0.0111%29 Mar
ancient13–80.0114%29 Mar
anubis10–13-0.0417%26 Mar
ancient13–3-0.0426%26 Mar
dust210–13-0.0213%17 Mar
ancient13–7-0.0422%17 Mar
anubis4–130.017%17 Mar
mirage8–13-0.0816%15 Mar
inferno3–13-0.0520%14 Mar
ancient13–11-0.0115%14 Mar
overpass8–13-0.0514%13 Mar
inferno10–13-0.088%13 Mar
nuke15–15-0.0413%13 Mar
mirage3–13-0.0815%13 Mar
anubis13–90.0118%12 Mar
nuke7–13-0.057%12 Mar
inferno6–130.018%11 Mar
ancient10–130.0018%11 Mar
nuke13–5-0.0514%8 Mar
mirage9–130.0421%8 Mar
inferno9–13-0.0310%8 Mar
dust29–13-0.0514%18 Feb
mirage10–13-0.076%18 Feb
mirage13–11-0.0011%16 Feb
nuke13–8-0.0621%16 Feb
dust29–13-0.0519%16 Feb
nuke3–13-0.0719%16 Feb
nuke13–50.0411%11 Feb
dust212–16-0.0320%9 Feb
ancient6–13-0.054%9 Feb
overpass11–13-0.0219%8 Feb
nuke10–13-0.0612%8 Feb
ancient15–15-0.0115%8 Feb
inferno13–1-0.026%8 Feb
anubis13–9-0.0121%8 Feb
dust214–16-0.118%7 Feb
nuke13–100.0211%7 Feb
inferno8–13-0.0413%7 Feb
mirage14–16-0.0325%1 Feb
dust210–13-0.0413%30 Jan
ancient2–13-0.076%29 Jan
mirage3–13-0.1214%29 Jan
inferno13–7-0.0614%29 Jan
dust213–100.0013%28 Jan
ancient13–4-0.013%28 Jan
inferno13–5-0.0314%25 Jan
dust29–13-0.026%25 Jan
mirage13–5-0.005%25 Jan
dust213–80.0112%25 Jan
inferno13–10.032%24 Jan
anubis7–13-0.0414%24 Jan
dust212–120.0214%20 Jan
nuke3–13-0.069%18 Jan
ancient8–13-0.0719%18 Jan
nuke5–130.0122%18 Jan

Match data via Leetify.

Recent teammates

Milestones

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