bork

bork — CS2 Stats

KP76561198438157698[U:1:477891970]Steam profile ↗✓ No bans

2,168Tracked matches55%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating22,808Top 25% of 215,558 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#46464 of 261653 tracked
FaceitLevel 10 · 2,118 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,808 → 22,808
0Faceit ELO · 2,118 → 2,118
+2Tracked matches · now 2,168
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 22,808 -3,883 30 Jan – 29 Oct · 16 days played
21,97926,957peak 26,95730 Jan29 Oct
Faceit ELO: 2,118 +0 3 Sept – 29 Oct · 6 observations
2,1182,118peak 2,1183 Sept29 Oct
27,223Peak Premier in tracked matches
2,118Highest Faceit ELO seen on CSDB
28Days played since 2026-01-30

Faceit ELO

  • At peak — 2,118
  • Next: 2,500 ELO at 2,500 — 382 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier CS Rating

  • 4,149 below peak (26,957)
  • +395 over 30 days · steady
  • Next: Red band at 25,000 — 2,192 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGborkFACEITLevel 10 · 2,118 ELOSTANDINGTop 12.4% of rankedPREMIER22,808 · Pink bandPEAK ELO2,118csdb.gg/stats

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Performance scores

Aim57
Positioning62
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateWLWLWWLWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −12.2pp headshot accuracy · −82ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 555ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

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 (+1.8 against its own average).

Aim5.7
Utility4.2
Positioning6.2
Opening Duels5.0
Clutch2.4

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 92% 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

Reaction time. 584ms 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

Aim5.7
Positioning6.2
Utility4.2
Mechanics5.5
Opening Duels3.8
Win Impact6.7

Composite 5.6/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time585ms−5ms
first ⅓ avg 591ms → last ⅓ avg 585ms
Headshot accuracy18.6%+2.8%
first ⅓ avg 15.8% → last ⅓ avg 18.6%

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

0.35Best match rating · 9–1 · inferno, 12 Mar →
67%Best headshot accuracy · 0–13 · inferno, 11 Aug →
422msFastest reaction time · 6–13 · ancient, 25 Aug →
13–0Biggest win · dust2, 31 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 60% over 15mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B4219–2345%0.00
ancientB158–753%0.01
infernoA159–660%0.05
anubisB115–645%0.02
mirageD103–730%0.00
nuke—40–40%-0.03
cache—10–10%0.00
vertigo—10–10%0.09
overpass—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

448Matches
57%Win rate
0.98Avg K/D
82.1ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5463%1.0215.8
Dust24264%1.0715.4
Ancient2763%1.0818.0
Inferno2357%0.9913.3
Overpass1377%1.2115.5
Anubis838%1.1617.0
Vertigo560%1.1617.8
Nuke475%1.1014.3

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.

17.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
36.1%Spray accuracy
74.7%Counter-strafing
11.1°Preaim
584msReaction time
42.4%T opening success
47.9%CT opening success
0.45Enemies flashed / flash
3.3%Flash assists
7.27HE damage / grenade
4.38Flashes / 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. 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 0.4534 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0615%1 Nov →
anubis8–130.0526%1 Nov →
dust213–6-0.0217%12 Oct →
nuke6–13-0.0110%2 Oct →
ancient16–140.0415%2 Oct →
mirage13–110.0412%25 Aug →
ancient6–130.0014%25 Aug →
inferno13–70.0120%16 Aug →
ancient5–10.010%16 Aug →
ancient8–13-0.034%11 Aug →
mirage7–13-0.0110%11 Aug →
ancient13–40.0415%11 Aug →
cache15–150.009%11 Aug →
inferno1–13-0.0515%11 Aug →
dust23–30.0022%11 Aug →
inferno0–13-0.0667%11 Aug →
dust213–50.0414%11 Aug →
dust211–13-0.0422%10 Aug →
inferno11–130.0232%9 Aug →
dust23–0-0.0250%9 Aug →
inferno16–140.0316%9 Aug →
dust213–70.0219%9 Aug →
inferno9–10.1929%3 Aug →
ancient13–5-0.0119%3 Aug →
ancient13–10.0919%3 Aug →
dust26–13-0.1213%3 Aug →
dust213–7-0.0222%3 Aug →
dust28–130.0513%15 Jul →
dust211–13-0.0018%15 Jul →
dust213–100.0217%21 Jun →
mirage10–130.0911%21 Jun →
inferno13–8-0.0010%31 May →
mirage12–16-0.0419%31 May →
dust213–00.0118%31 May →
dust29–130.0214%31 May →
dust20–13-0.0350%31 May →
dust21–13-0.0516%12 Mar →
mirage14–16-0.0220%12 Mar →
dust210–13-0.0416%12 Mar →
vertigo6–130.0912%12 Mar →
inferno9–10.3534%12 Mar →
dust213–80.0127%27 Feb →
dust213–7-0.0024%27 Feb →
dust213–10-0.0128%21 Feb →
overpass13–40.0525%20 Feb →
dust213–40.0222%20 Feb →
anubis6–13-0.0423%20 Feb →
dust213–40.0514%20 Feb →
nuke12–12-0.0615%15 Feb →
dust213–110.0312%15 Feb →
ancient12–120.0215%13 Feb →
dust213–110.0222%13 Feb →
dust212–12-0.0510%13 Feb →
dust211–130.0318%13 Feb →
ancient13–5-0.0110%13 Feb →
inferno13–90.0315%12 Feb →
inferno8–13-0.049%12 Feb →
anubis11–13-0.0213%12 Feb →
dust213–80.1010%12 Feb →
inferno13–60.0622%12 Feb →
mirage3–13-0.0218%11 Feb →
dust210–130.0017%11 Feb →
dust212–120.0617%11 Feb →
mirage11–13-0.057%7 Feb →
ancient8–13-0.018%7 Feb →
inferno8–130.0519%6 Feb →
ancient13–80.0310%6 Feb →
dust213–70.0526%6 Feb →
anubis13–70.0715%6 Feb →
nuke0–13-0.0512%6 Feb →
inferno13–4-0.0123%5 Feb →
dust21–13-0.1221%5 Feb →
mirage13–110.0410%5 Feb →
dust211–130.0313%3 Feb →
anubis6–13-0.039%3 Feb →
dust213–10-0.0417%3 Feb →
inferno13–80.0712%2 Feb →
mirage13–30.065%2 Feb →
dust29–13-0.0219%2 Feb →
inferno11–130.0416%2 Feb →
anubis10–13-0.0614%1 Feb →
anubis13–30.069%1 Feb →
ancient12–120.0221%1 Feb →
ancient4–13-0.0620%1 Feb →
mirage10–13-0.0416%1 Feb →
dust213–20.0215%1 Feb →
dust24–13-0.0420%1 Feb →
dust28–120.1415%1 Feb →
dust26–130.0515%31 Jan →
dust26–13-0.0621%31 Jan →
ancient6–13-0.0010%31 Jan →
dust25–130.0617%31 Jan →
anubis13–110.0222%31 Jan →
anubis13–100.0914%31 Jan →
nuke12–120.0125%30 Jan →
anubis9–130.0615%30 Jan →
dust28–13-0.0514%30 Jan →
dust27–13-0.0615%30 Jan →
dust213–10.0421%30 Jan →
anubis13–90.045%30 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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