Bratan

Bratan — CS2 Stats

76561197975593319[U:1:15327591]Steam profile ↗✓ No bans

1,242Tracked matches32%Win rate2020Tracked since
3,401Hours in CS6Hrs last 2 wks
CSDB Rating3.9 LearningClutch Specialist
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

+17Tracked matches · now 1,242
−6.5ppWin rate · 38.5% → 32.0%

Rating over time

37Days played since 2025-07-26

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate31.1%41.3%41.8%10.7% short
Shot accuracy18.1%12.7%12.2%above
Kill/death ratio0.920.950.980.06 short
Match win rate41.4%42.6%43.3%1.9% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBratanFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.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

Aim43
Positioning38
Utility43

0–100 skill scores via Leetify.

Recent form

COLD31–54–15Last 10031%Win rateLWLLTLLLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +3.4pp headshot accuracy · −81ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 639ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 20

  • 4–12–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 656ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim4.3
Utility4.3
Positioning3.8
Opening Duels0.0
Clutch4.8

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

iM

Plays most like iM 78% 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

Reaction time. 658ms 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

Aim4.3
Positioning3.8
Utility4.3
Mechanics7.1
Opening Duels1.1
Win Impact0.0

Composite 3.9/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time661ms−20ms
first ⅓ avg 682ms → last ⅓ avg 661ms
Headshot accuracy11.8%−3.6%
first ⅓ avg 15.4% → last ⅓ avg 11.8%

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

0.08Best match rating · 6–0 · dust2, 3 Nov →
33%Best headshot accuracy · 2–4 · inferno, 27 Jul →
422msFastest reaction time · 13–9 · ancient, 1 Sept →
13–2Biggest win · nuke, 30 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 45% over 20mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D3311–2233%-0.03
infernoD295–2417%-0.04
nukeB209–1145%-0.06
mirageD71–614%-0.04
cache—31–233%-0.06
ancient—22–0100%-0.03
anubis—22–0100%-0.04
overpass—20–20%-0.10
office—10–10%-0.09
train—10–10%-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,189Lifetime kills
0.92K/D
5,075Matches
41.4%Match win rate
31.1%Headshot %
18.1%Shot accuracy · Top 25% of Level 2 players
8,225MVPs
1,877Hours (in match)
5,405Bombs planted
1,130Bombs defused

Most-used weapons

AWP16,150
AK-4712,615
P902,774
FAMAS2,362
MP72,288
SSG 081,988

Lifetime map wins

14,818dust2
9,543inferno
3,428nuke
1,304vertigo
946train
801cbble
368aztec
299dust

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

Faceit stats

Combat

58Matches
41%Win rate
0.95Avg K/D
76.2ADR
29%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient729%0.7611.0
Anubis650%1.0613.3
Inferno560%1.3418.0
Dust2425%1.2916.5
Vertigo250%0.9314.0

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.

12.0%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.0%Spray accuracy
82.0%Counter-strafing
11.0°Preaim
658msReaction time
39.0%T opening success
28.2%CT opening success
0.50Enemies flashed / flash
3.5%Flash assists
10.46HE damage / grenade
3.94Flashes / 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 12.027% — 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 0.4979 — 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 39.0499% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0416%30 Oct →
dust213–10-0.038%29 Oct →
inferno6–13-0.1211%26 Oct →
nuke4–13-0.0617%26 Oct →
dust212–12-0.0214%26 Oct →
inferno9–13-0.048%18 Oct →
mirage9–13-0.022%18 Oct →
nuke10–13-0.0313%30 Sept →
mirage8–13-0.0416%30 Sept →
inferno13–9-0.0118%27 Sept →
dust28–13-0.077%27 Sept →
nuke8–13-0.0511%27 Sept →
dust27–13-0.0011%27 Sept →
dust211–13-0.099%23 Sept →
nuke4–13-0.080%23 Sept →
inferno12–12-0.0014%23 Sept →
dust213–4-0.0010%23 Sept →
nuke13–11-0.1013%11 Aug →
inferno12–12-0.067%11 Aug →
cache12–12-0.016%11 Aug →
dust213–4-0.0210%11 Aug →
dust27–13-0.0810%6 Aug →
nuke13–90.0013%6 Aug →
inferno12–12-0.039%6 Aug →
cache13–8-0.0724%29 Jul →
dust22–13-0.1420%29 Jul →
inferno8–13-0.0123%29 Jul →
cache5–13-0.0921%28 Jul →
inferno3–13-0.0114%28 Jul →
nuke13–9-0.0711%28 Jul →
dust26–13-0.0711%28 Jul →
office5–13-0.094%16 Jun →
inferno3–130.009%15 Jun →
dust23–13-0.0412%15 Jun →
inferno3–13-0.0912%25 Mar →
nuke12–120.0011%25 Mar →
dust26–13-0.0614%25 Mar →
inferno1–13-0.0613%19 Feb →
dust26–13-0.094%19 Feb →
inferno3–13-0.020%26 Jan →
dust27–13-0.0220%26 Jan →
dust213–9-0.0010%5 Jan →
inferno13–100.0115%5 Jan →
nuke13–11-0.0816%12 Dec →
inferno13–11-0.039%11 Dec →
dust213–9-0.0116%11 Dec →
dust23–130.018%6 Nov →
inferno13–90.005%6 Nov →
nuke13–11-0.0810%6 Nov →
inferno7–13-0.1311%6 Nov →
dust213–40.0513%6 Nov →
nuke7–13-0.0720%6 Nov →
dust211–13-0.0412%4 Nov →
inferno8–13-0.0412%3 Nov →
dust213–80.0714%3 Nov →
dust26–00.0816%3 Nov →
nuke3–8-0.090%30 Oct →
inferno12–12-0.0128%30 Oct →
dust213–8-0.0321%30 Oct →
dust211–13-0.0014%16 Oct →
nuke14–16-0.0218%16 Oct →
inferno5–13-0.110%13 Oct →
mirage10–13-0.0726%13 Oct →
dust213–9-0.0423%13 Oct →
nuke7–13-0.067%13 Oct →
dust213–7-0.057%30 Sept →
mirage11–13-0.118%26 Sept →
nuke9–1-0.0012%26 Sept →
inferno5–13-0.074%26 Sept →
dust212–12-0.0722%26 Sept →
nuke9–13-0.0713%1 Sept →
inferno12–12-0.0810%1 Sept →
mirage6–130.0121%1 Sept →
ancient13–9-0.038%1 Sept →
inferno12–12-0.0311%31 Aug →
dust212–120.0624%31 Aug →
nuke1–13-0.1010%31 Aug →
anubis13–6-0.0611%27 Aug →
ancient9–3-0.0319%27 Aug →
dust23–13-0.0320%26 Aug →
nuke13–11-0.0520%26 Aug →
inferno9–13-0.0319%26 Aug →
overpass10–13-0.075%26 Aug →
anubis13–8-0.0216%17 Aug →
overpass8–13-0.1230%17 Aug →
dust22–13-0.1016%17 Aug →
dust210–13-0.0724%5 Aug →
inferno12–12-0.0611%4 Aug →
mirage2–13-0.050%4 Aug →
train5–13-0.1113%4 Aug →
inferno13–10-0.0215%4 Aug →
dust212–12-0.0325%4 Aug →
nuke13–11-0.1025%30 Jul →
inferno5–13-0.080%30 Jul →
mirage13–60.0422%30 Jul →
dust210–13-0.0720%30 Jul →
nuke13–2-0.0310%30 Jul →
inferno12–12-0.089%27 Jul →
inferno2–4-0.0533%27 Jul →
dust212–12-0.0511%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.