♔ Bratan Lv

♔ Bratan Lv — CS2 Stats

LV76561198894544255[U:1:934278527]Steam profile ↗✓ No bans

3,048Tracked matches45%Win rate2023Tracked since
3,694Hours in CS20Hrs last 2 wks
CSDB Rating3.8 Learning
FaceitLevel 5 · 1,682 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate31.2%44.0%44.7%13.6% short
Shot accuracy0.7%11.6%11.9%11.3% short
Kill/death ratio0.891.031.040.15 short
Match win rate45.5%45.1%45.2%meets

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♔ Bratan LvFACEITLevel 5 · 1,682 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning40
Utility63

0–100 skill scores via Leetify.

Recent form

COLD49501Last 10049%Win rateLLLWLLLWWL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim3.9
Aggression3.8
Utility6.3
Positioning4.0
Opening Duels0.0
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 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.9
Positioning4.0
Utility6.3
Mechanics4.3
Opening Duels0.6
Win Impact3.3

Composite 3.8/10 (Learning), 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-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time645ms+28ms
first ⅓ avg 617ms → last ⅓ avg 645ms
Headshot accuracy13.9%+1.7%
first ⅓ avg 12.3% → last ⅓ avg 13.9%

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

0.14Best rating — ancient 13–5
132Biggest win — anubis
4Longest win streak
L3Current streak
127In matches decided by ≤2 rounds
20Overtime games

Map breakdown

dust2Best map · 64% over 11infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB21101148%0.01
mirageC1981142%-0.01
anubisC156940%-0.01
dust2A117464%-0.01
infernoC114736%-0.01
nukeA95456%-0.01
overpassA85363%0.01
cacheA53260%-0.02
train110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,794Lifetime kills
0.89K/D
4,795Matches
45.5%Match win rate · Top 50% of Level 5 players
31.2%Headshot %
0.7%Shot accuracy
8,741MVPs
1,974Hours (in match)
7,461Bombs planted
1,053Bombs defused

Most-used weapons

AK-4722,481
AWP5,454
MP94,794
MAC-104,251
FAMAS1,596

Lifetime map wins

7,595dust2
7,328inferno
3,920nuke
2,712vertigo
618office
408train
20italy
6ar_shoots

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

Faceit stats

Combat

2,228Matches
49%Win rate
0.99Avg K/D
75.4ADR
33%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage42846%0.9614.0
Anubis37651%1.0215.3
Ancient36751%1.0015.1
Inferno34551%0.9914.5
Dust233849%0.9614.8
Nuke19152%1.0414.4
Overpass7653%1.0415.0
Vertigo4445%0.8813.7

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.

13.4%Headshot accuracy
30.5%Accuracy (enemy spotted)
32.6%Spray accuracy
69.3%Counter-strafing
10.0°Preaim
643msReaction time
24.6%T opening success
34.5%CT opening success
0.62Enemies flashed / flash
4.5%Flash assists
10.37HE damage / grenade
14.82Flashes / 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 13.3752% — below the 15% mark we flag

    Aim Training
  2. 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 24.5794% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache16–19-0.018%28 Aug
anubis17–19-0.0222%24 Aug
ancient4–13-0.039%24 Aug
cache13–110.0218%24 Aug
nuke13–16-0.0721%24 Aug
mirage7–13-0.076%24 Aug
anubis9–13-0.0711%8 Aug
anubis22–20-0.0510%8 Aug
dust213–9-0.0113%31 Jul
inferno5–13-0.0313%30 Jul
nuke13–70.0919%30 Jul
ancient13–11-0.029%25 Jul
ancient3–13-0.0413%22 Jul
anubis13–6-0.026%22 Jul
anubis11–13-0.0122%20 Jul
anubis7–13-0.094%8 Jul
cache13–40.0430%7 Jul
mirage13–9-0.036%1 Jul
ancient11–13-0.0015%1 Jul
inferno6–13-0.0110%1 Jul
ancient9–13-0.054%27 Jun
dust21–13-0.1246%27 Jun
anubis5–13-0.0712%27 Jun
inferno16–130.0914%9 Jun
ancient5–13-0.0311%6 Jun
nuke15–150.0212%2 Jun
ancient13–10-0.0214%2 Jun
overpass13–100.0510%2 Jun
nuke13–9-0.0610%1 Jun
anubis13–60.1013%1 Jun
inferno11–13-0.0223%31 May
mirage8–13-0.0214%31 May
dust210–13-0.0113%28 May
inferno3–13-0.0712%23 May
ancient13–100.0011%22 May
inferno13–100.0118%22 May
cache9–13-0.0611%22 May
ancient13–110.055%22 May
overpass13–9-0.029%22 May
cache13–9-0.0711%22 May
dust210–13-0.0212%22 May
mirage16–120.047%10 Apr
anubis10–13-0.0217%7 Apr
dust219–170.018%31 Mar
overpass13–80.0811%31 Mar
nuke25–23-0.0211%31 Mar
ancient13–11-0.0312%30 Mar
mirage7–130.008%30 Mar
inferno13–100.0917%25 Mar
nuke5–13-0.0231%10 Mar
nuke13–100.0610%6 Mar
overpass15–19-0.0314%6 Mar
anubis7–13-0.014%5 Mar
ancient16–140.0814%5 Mar
inferno7–13-0.0011%4 Mar
mirage11–13-0.0213%3 Mar
ancient16–130.078%3 Mar
mirage13–16-0.0617%3 Mar
anubis13–20.0310%2 Mar
mirage6–13-0.0016%2 Mar
mirage13–10-0.055%1 Mar
inferno4–13-0.0719%1 Mar
dust213–100.0116%28 Feb
dust213–100.0316%28 Feb
inferno1–13-0.0814%27 Feb
anubis10–130.047%27 Feb
mirage12–16-0.0321%26 Feb
mirage13–110.033%25 Feb
ancient0–13-0.055%23 Feb
mirage13–90.0410%23 Feb
anubis13–110.028%23 Feb
overpass9–13-0.0111%23 Feb
ancient13–80.037%22 Feb
dust219–17-0.0013%21 Feb
anubis13–100.0824%21 Feb
dust210–130.009%13 Feb
dust213–80.0317%13 Feb
mirage17–19-0.0320%11 Feb
dust216–12-0.0613%10 Feb
mirage13–9-0.0016%5 Feb
mirage13–90.0218%4 Feb
ancient4–13-0.0612%30 Jan
anubis3–13-0.0610%29 Jan
mirage16–190.0311%28 Jan
ancient13–16-0.0111%28 Jan
ancient17–190.0011%28 Jan
ancient13–100.0915%27 Jan
overpass6–13-0.0410%21 Jan
mirage6–13-0.009%20 Jan
overpass13–11-0.0620%19 Jan
nuke10–13-0.089%19 Jan
ancient13–50.1417%18 Jan
mirage10–130.0016%12 Jan
inferno13–40.0211%11 Jan
overpass13–30.1018%7 Jan
train13–60.019%4 Jan
mirage13–50.0212%3 Jan
ancient7–13-0.0212%29 Dec
ancient7–130.0110%29 Dec
nuke13–9-0.019%22 Dec

Match data via Leetify.

Milestones

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