Borat

Borat — CS2 Stats

KZ76561199570373763[U:1:1610108035]Steam profile ↗✓ No bans

927Tracked matches63%Win rate2023Tracked since
2,947Hours in CS11Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating21,495Top 50% of 203,074 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#60791 of 250046 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,495 +1,249 12 Apr – 30 Sept · 26 days played
18,67022,049peak 22,04912 Apr30 Sept
22,049Peak Premier in tracked matches
45Days played since 2026-04-12

Premier CS Rating

  • 554 below peak (22,049)
  • +1,732 over 30 days · improving
  • -554 over 90 days
  • Next: Red band at 25,000 — 3,505 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate38.0%46.9%49.2%11.3% short
Shot accuracy0.0%13.0%13.4%13.3% short
Kill/death ratio0.891.081.120.23 short
Match win rate36.1%46.7%48.5%12.4% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGBoratPREMIER21,495 · Pink bandcsdb.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

Aim52
Positioning52
Utility66

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateWWWWWLWLWW

Last 10 vs previous 10: +40pp win rate · −0.03 avg rating · −0.4pp headshot accuracy · +5ms reaction

Win rate up 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 508ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 518ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 515ms

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 (+1.6 against its own average).

Aim5.2
Utility6.6
Positioning5.2
Opening Duels3.2

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 72% 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

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

Aim5.2
Positioning5.2
Utility6.6
Mechanics4.3
Opening Duels3.9
Win Impact9.4

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time514ms−75ms
first ⅓ avg 588ms → last ⅓ avg 514ms
Headshot accuracy14.5%+0.3%
first ⅓ avg 14.2% → last ⅓ avg 14.5%

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

0.23Best match rating · 13–6 · shelter, 9 Jul →
32%Best headshot accuracy · 11–13 · vertigo, 29 Jul →
359msFastest reaction time · 13–9 · dust2, 15 Sept →
13–0Biggest win · anubis, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
8–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 73% over 11mirageWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
nukeS1812–667%0.02
mirageD143–1121%-0.02
vertigoS118–373%0.04
anubisA106–460%0.00
cacheC104–640%0.01
ancientS96–367%-0.01
dust2A85–363%-0.01
infernoD62–433%0.00
office—40–40%0.03
train—32–167%-0.05
poseidon—20–20%-0.07
alpine—20–20%-0.03
shelter—11–0100%0.23
overpass—11–0100%0.03
italy—11–0100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,359Lifetime kills
0.89K/D
2,066Matches
36.1%Match win rate
38.0%Headshot %
0.0%Shot accuracy
3,970MVPs
2,408Hours (in match)
1,707Bombs planted
224Bombs defused

Most-used weapons

AK-4711,784
Knife4,174
AWP1,545
MAC-101,403
MP9711

Lifetime map wins

1,867nuke
1,634inferno
1,626dust2
1,128vertigo
848train
478office
369italy
4ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.0%Headshot accuracy
31.9%Accuracy (enemy spotted)
36.0%Spray accuracy
69.2%Counter-strafing
11.5°Preaim
520msReaction time
43.5%T opening success
47.4%CT opening success
0.63Enemies flashed / flash
8.5%Flash assists
9.83HE damage / grenade
11.03Flashes / 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 14.0455% — below the 15% mark we flag

    Aim Training →
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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–0-0.0113%30 Sept →
mirage13–6-0.0220%30 Sept →
dust213–11-0.0124%30 Sept →
anubis13–80.028%27 Sept →
nuke13–10-0.023%27 Sept →
nuke4–13-0.0417%26 Sept →
vertigo13–9-0.0212%25 Sept →
mirage8–13-0.019%19 Sept →
anubis13–100.0423%19 Sept →
ancient13–20.0214%19 Sept →
nuke13–110.0815%15 Sept →
dust213–90.0113%15 Sept →
mirage2–13-0.0911%15 Sept →
mirage8–130.0414%12 Sept →
nuke13–6-0.0616%12 Sept →
vertigo13–60.1514%4 Sept →
nuke4–13-0.0122%4 Sept →
office10–130.0619%4 Sept →
office6–130.0916%4 Sept →
nuke10–13-0.016%1 Sept →
nuke13–50.0313%31 Aug →
ancient13–10-0.057%30 Aug →
nuke13–50.1017%28 Aug →
nuke13–5-0.0714%21 Aug →
cache7–13-0.029%18 Aug →
anubis9–130.0111%12 Aug →
dust27–13-0.0616%12 Aug →
train13–8-0.0420%12 Aug →
train13–9-0.0411%12 Aug →
cache13–3-0.0415%30 Jul →
ancient13–50.0214%30 Jul →
vertigo10–130.089%29 Jul →
vertigo11–130.0732%29 Jul →
vertigo13–110.015%29 Jul →
nuke5–130.0613%28 Jul →
anubis7–13-0.0412%28 Jul →
anubis16–130.0214%26 Jul →
anubis13–80.1010%21 Jul →
mirage15–150.005%21 Jul →
inferno8–130.0013%21 Jul →
nuke13–20.0415%21 Jul →
mirage13–8-0.0315%21 Jul →
nuke13–11-0.0112%17 Jul →
nuke14–160.0314%12 Jul →
ancient9–13-0.0114%12 Jul →
poseidon0–9-0.160%11 Jul →
cache13–110.069%11 Jul →
cache12–16-0.0112%11 Jul →
mirage9–130.0310%11 Jul →
shelter13–60.239%9 Jul →
office8–13-0.0211%9 Jul →
cache12–12-0.0213%1 Jul →
cache2–13-0.0320%1 Jul →
cache4–130.0317%1 Jul →
dust213–7-0.0110%28 Jun →
vertigo13–30.0722%28 Jun →
vertigo13–60.0115%28 Jun →
dust213–40.0518%21 Jun →
vertigo13–50.0312%21 Jun →
alpine8–13-0.038%21 Jun →
dust29–13-0.0318%18 Jun →
nuke10–13-0.037%18 Jun →
ancient13–50.0324%16 Jun →
inferno2–13-0.0112%16 Jun →
mirage14–16-0.0516%14 Jun →
ancient8–13-0.0212%14 Jun →
mirage9–130.0112%14 Jun →
mirage13–8-0.0018%14 Jun →
vertigo13–20.078%3 Jun →
vertigo7–13-0.0214%3 Jun →
anubis12–12-0.0516%27 May →
anubis13–8-0.0021%27 May →
dust213–5-0.0214%25 May →
overpass13–60.0315%20 May →
office3–13-0.0315%13 May →
cache12–120.1313%11 May →
cache13–110.0411%11 May →
ancient13–6-0.0422%4 May →
ancient2–13-0.079%4 May →
cache13–10-0.0411%30 Apr →
nuke13–80.0918%27 Apr →
dust26–130.0220%27 Apr →
nuke13–30.0515%27 Apr →
mirage9–13-0.074%27 Apr →
ancient13–100.0414%27 Apr →
inferno13–110.0012%27 Apr →
nuke16–120.0316%27 Apr →
mirage6–13-0.1110%26 Apr →
inferno13–110.0320%26 Apr →
train10–13-0.0720%24 Apr →
inferno11–13-0.0016%24 Apr →
mirage7–13-0.0119%15 Apr →
nuke13–70.0620%15 Apr →
anubis7–13-0.068%15 Apr →
alpine8–13-0.0313%15 Apr →
italy13–3-0.0419%15 Apr →
vertigo5–0-0.010%14 Apr →
poseidon6–90.0316%13 Apr →
mirage9–130.0113%12 Apr →
inferno5–13-0.0212%12 Apr →

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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