borqee

borqee — CS2 Stats

FJ76561198115718635[U:1:155452907]Steam profile ↗✓ No bans

2,349Tracked matches52%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating16,807Purple band · top ~21.2% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (yesterday). 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: 16,807 -742 22 Jul – 3 Oct · 32 days played
15,00017,549peak 17,54922 Jul3 Oct
17,549Peak Premier in tracked matches
32Days played since 2026-07-22

Premier CS Rating

  • 742 below peak (17,549)
  • +1,063 over 30 days · improving
  • Next: Pink band at 20,000 — 3,193 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

Share this profile

CSDB.GGborqeePREMIER16,807 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning47
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLWWLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.9pp headshot accuracy · −3ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 592ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 594ms

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 Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim6.1
Utility3.9
Positioning4.7
Opening Duels2.8
Clutch4.0

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

jL

Plays most like jL 96% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 57% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms 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

Aim6.1
Positioning4.7
Utility3.9
Mechanics6.6
Opening Duels4.5
Win Impact5.6

Composite 5.4/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time590ms−109ms
first ⅓ avg 699ms → last ⅓ avg 590ms
Headshot accuracy12.7%−1.7%
first ⅓ avg 14.4% → last ⅓ avg 12.7%

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

0.12Best match rating · 13–8 · mirage, 14 Aug →
33%Best headshot accuracy · 2–13 · mirage, 27 Jul →
422msFastest reaction time · 8–13 · mirage, 30 Sept →
13–1Biggest win · dust2, 30 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2913–1645%-0.03
nukeA159–660%-0.01
ancientC146–843%-0.04
dust2B105–550%-0.02
cacheC104–640%-0.03
anubisA106–460%-0.01
infernoD92–722%-0.01
office—20–20%-0.07
vertigo—10–10%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

511Matches
49%Win rate
0.88Avg K/D
76.2ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1573%1.1917.1
Mirage1436%1.0413.8
Inferno838%0.8012.4
Overpass667%1.2817.2
Nuke667%1.4619.5
Ancient560%1.0617.8
Anubis450%0.8414.5
Cache10%0.397.0

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.

12.1%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.7%Spray accuracy
79.8%Counter-strafing
12.1°Preaim
574msReaction time
56.6%T opening success
39.3%CT opening success
0.57Enemies flashed / flash
5.0%Flash assists
8.29HE damage / grenade
4.76Flashes / 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 12.0799° — 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 12.0841% — below the 15% mark we flag

    Aim Training →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0813%3 Oct →
inferno13–40.0420%3 Oct →
mirage13–5-0.0111%3 Oct →
mirage7–13-0.103%3 Oct →
mirage1–13-0.110%3 Oct →
dust213–70.0220%3 Oct →
ancient13–70.0420%3 Oct →
ancient8–13-0.079%2 Oct →
inferno8–13-0.0015%2 Oct →
dust213–90.0117%2 Oct →
dust213–1-0.038%30 Sept →
cache4–13-0.0813%30 Sept →
mirage8–13-0.0719%30 Sept →
mirage15–150.0516%30 Sept →
cache13–9-0.0613%29 Sept →
dust211–13-0.0511%27 Sept →
ancient13–10-0.066%27 Sept →
mirage1–13-0.067%27 Sept →
dust214–16-0.0712%27 Sept →
anubis13–6-0.0416%27 Sept →
mirage16–13-0.037%27 Sept →
dust28–13-0.0311%26 Sept →
nuke13–50.059%20 Sept →
cache16–13-0.037%19 Sept →
ancient8–13-0.035%19 Sept →
anubis13–9-0.0410%19 Sept →
ancient13–9-0.077%18 Sept →
mirage4–13-0.1016%18 Sept →
anubis6–13-0.0620%12 Sept →
cache13–1-0.0124%12 Sept →
dust213–100.0121%12 Sept →
anubis13–50.0915%7 Sept →
mirage13–90.0317%7 Sept →
cache9–130.0211%7 Sept →
anubis7–13-0.025%7 Sept →
inferno15–15-0.0316%7 Sept →
ancient8–13-0.0318%6 Sept →
office2–13-0.0912%6 Sept →
office8–13-0.045%5 Sept →
nuke4–13-0.0212%29 Aug →
inferno13–10-0.0215%29 Aug →
anubis10–13-0.0513%29 Aug →
cache2–13-0.1012%16 Aug →
ancient9–13-0.0610%16 Aug →
nuke13–80.0413%16 Aug →
mirage13–8-0.068%16 Aug →
mirage13–6-0.0214%16 Aug →
mirage13–7-0.048%15 Aug →
anubis13–80.0623%15 Aug →
ancient7–13-0.0114%15 Aug →
mirage4–13-0.0420%14 Aug →
mirage13–80.1216%14 Aug →
cache11–130.0310%14 Aug →
ancient6–13-0.0217%13 Aug →
mirage13–8-0.028%13 Aug →
cache4–10.0520%13 Aug →
inferno8–13-0.014%9 Aug →
ancient13–9-0.0519%9 Aug →
anubis13–6-0.018%9 Aug →
mirage13–90.027%9 Aug →
anubis9–130.0711%9 Aug →
inferno0–13-0.075%8 Aug →
nuke9–13-0.049%8 Aug →
mirage5–13-0.0419%8 Aug →
ancient11–13-0.063%7 Aug →
inferno15–150.038%7 Aug →
nuke13–7-0.0523%7 Aug →
mirage13–60.029%7 Aug →
mirage13–5-0.026%7 Aug →
nuke13–9-0.0114%5 Aug →
ancient11–13-0.0311%5 Aug →
vertigo9–130.0615%3 Aug →
nuke13–10-0.079%1 Aug →
mirage9–13-0.063%1 Aug →
dust25–13-0.0717%1 Aug →
mirage14–160.018%1 Aug →
inferno8–13-0.038%1 Aug →
ancient13–11-0.038%1 Aug →
nuke7–130.0219%31 Jul →
nuke5–13-0.065%31 Jul →
anubis13–5-0.0423%31 Jul →
nuke13–100.0111%31 Jul →
mirage11–13-0.0514%29 Jul →
nuke13–100.0219%29 Jul →
nuke4–13-0.0524%28 Jul →
ancient9–1-0.044%28 Jul →
inferno3–13-0.0314%28 Jul →
mirage13–9-0.059%28 Jul →
cache6–13-0.0712%28 Jul →
mirage2–13-0.0933%27 Jul →
mirage13–60.0521%27 Jul →
nuke11–13-0.0417%27 Jul →
nuke13–30.069%27 Jul →
mirage7–13-0.0621%25 Jul →
nuke16–140.0319%25 Jul →
dust25–13-0.0020%25 Jul →
mirage4–13-0.0816%24 Jul →
mirage10–13-0.0420%23 Jul →
cache7–13-0.0612%23 Jul →
dust213–10.0526%22 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 →

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