Bafala

Bafala — CS2 Stats

DK76561198054354955[U:1:94089227]Steam profile ↗✓ No bans

1,087Tracked matches50%Win rate2020Tracked since
1,138Hours in CS
CSDB Rating3.4 Learning
FaceitLevel 4 · 944 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate31.4%42.7%44.0%12.6% short
Shot accuracy19.3%10.8%11.6%above
Kill/death ratio0.861.001.030.17 short
Match win rate41.1%44.1%45.1%4.0% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBafalaFACEITLevel 4 · 944 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim32
Positioning51
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateWLLWWLWWLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim3.2
Aggression5.1
Utility1.9
Positioning5.1
Opening Duels0.5
Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 71% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 693ms 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

Aim3.2
Positioning5.1
Utility1.9
Mechanics5.8
Opening Duels1.1
Win Impact5.0

Composite 3.4/10 (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 time685ms+32ms
first ⅓ avg 654ms → last ⅓ avg 685ms
Headshot accuracy11.9%+3.7%
first ⅓ avg 8.1% → last ⅓ avg 11.9%

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.

Highlights

0.12Best rating — mirage 13–4
131Biggest win — nuke
10Longest win streak
138In matches decided by ≤2 rounds
54Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB26131350%-0.01
overpassA1810856%-0.03
vertigoB189950%-0.02
anubisB115645%-0.03
ancientA85363%-0.01
infernoD82625%-0.03
trainD62433%-0.03
mirage31233%0.00
dust221150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,698Lifetime kills
0.86K/D
2,646Matches
41.1%Match win rate
31.4%Headshot %
19.3%Shot accuracy · Top 5% of Level 4 players
5,170MVPs
1,138Hours (in match)
3,488Bombs planted
480Bombs defused

Most-used weapons

AK-4712,569
AWP8,156
AUG1,519
Knife951

Lifetime map wins

5,730nuke
3,924inferno
3,666vertigo
2,192train
1,568dust2
470cbble
283lake
93office

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

Faceit stats

Combat

1,017Matches
50%Win rate
0.96Avg K/D
69.1ADR
30%Headshot %

Clutches & streaks

43%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke9557%0.9613.4
Ancient6340%0.9315.2
Vertigo4650%0.8813.8
Inferno3834%0.8314.4
Train2642%0.8914.0
Anubis2544%0.8413.8
Overpass2560%0.9914.4
Mirage1331%0.8812.6

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.

12.0%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.8%Spray accuracy
75.9%Counter-strafing
11.3°Preaim
693msReaction time
25.0%T opening success
38.9%CT opening success
0.22Enemies flashed / flash
1.1%Flash assists
11.64HE damage / grenade
1.46Flashes / 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 11.9704% — 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 0.2169 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 25.0141% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0124%17 Jan
ancient7–13-0.0319%17 Jan
ancient9–13-0.065%16 Jan
overpass13–8-0.0717%8 Jan
inferno13–7-0.0610%7 Jan
train17–19-0.0115%7 Jan
overpass13–6-0.075%6 Jan
nuke16–13-0.0327%11 Dec
train8–13-0.0418%11 Dec
train8–13-0.0611%2 Dec
ancient13–11-0.0111%30 Nov
overpass13–10-0.0414%30 Nov
overpass5–13-0.0315%28 Nov
inferno11–13-0.0821%27 Nov
train16–14-0.027%25 Nov
nuke16–140.028%25 Nov
nuke9–130.0223%25 Nov
inferno11–13-0.060%27 Jul
inferno13–16-0.048%15 Jul
train13–40.0113%15 Jun
ancient11–13-0.044%11 May
train9–13-0.050%10 May
inferno10–130.0214%3 May
ancient13–110.0014%20 Apr
nuke13–11-0.025%11 Apr
ancient13–70.0111%11 Apr
nuke13–11-0.0118%11 Apr
ancient13–100.025%11 Apr
nuke8–13-0.0312%11 Apr
inferno5–130.015%11 Apr
nuke6–13-0.0510%19 Dec
vertigo9–13-0.0314%5 Nov
anubis13–80.0211%1 Nov
mirage13–40.129%24 Oct
nuke9–13-0.0417%22 Aug
mirage7–13-0.0628%22 Apr
nuke19–170.0410%26 Feb
vertigo3–13-0.0416%29 Jan
anubis6–13-0.0612%23 Jan
nuke13–60.0213%23 Jan
nuke6–13-0.0216%20 Jan
vertigo19–16-0.0012%19 Jan
overpass13–20.0215%17 Jan
nuke9–13-0.056%6 Jan
vertigo8–13-0.016%6 Jan
nuke8–130.0318%5 Jan
nuke5–13-0.1014%3 Jan
nuke13–90.0221%3 Jan
anubis5–13-0.077%2 Jan
anubis6–13-0.0721%29 Dec
inferno7–130.0320%18 Dec
nuke13–30.0711%7 Oct
vertigo19–170.007%24 Sept
vertigo9–16-0.0115%23 Sept
vertigo16–130.068%3 Sept
vertigo16–14-0.064%2 Sept
overpass16–100.0214%2 Sept
dust222–20-0.0110%2 Sept
nuke7–16-0.107%1 Sept
overpass12–16-0.056%27 Aug
overpass14–16-0.028%26 Aug
overpass12–16-0.039%22 Aug
nuke16–100.0519%22 Aug
vertigo19–160.018%22 Aug
nuke13–10.0113%22 Aug
anubis16–6-0.065%19 Aug
inferno16–10-0.0318%9 Jul
vertigo19–16-0.017%8 Jul
anubis16–7-0.026%25 Jun
nuke16–14-0.0110%25 Jun
vertigo16–9-0.027%24 Jun
vertigo16–40.079%24 Jun
overpass13–16-0.048%10 Jun
overpass16–14-0.0312%9 Jun
anubis6–16-0.079%29 May
vertigo13–16-0.100%29 May
nuke19–160.0410%29 May
vertigo21–25-0.0110%27 May
anubis16–12-0.029%27 May
overpass16–4-0.0310%22 May
mirage9–16-0.058%21 May
anubis20–220.006%21 May
dust210–16-0.044%21 May
overpass16–9-0.056%19 May
nuke16–9-0.0412%18 May
vertigo14–16-0.0211%18 May
nuke10–16-0.069%18 May
overpass8–16-0.078%18 May
nuke17–190.0113%14 May
vertigo5–16-0.067%14 May
vertigo8–16-0.103%13 May
vertigo16–9-0.027%13 May
anubis12–160.0112%30 Apr
nuke8–16-0.0815%30 Apr
overpass6–16-0.035%30 Apr
ancient16–14-0.018%29 Apr
overpass16–13-0.0211%23 Apr
nuke7–16-0.022%23 Apr
overpass16–13-0.046%14 Apr
overpass13–16-0.048%9 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →