Borg — CS2 Stats

76561199149823957[U:1:1189558229]✓ No bans

1,495Tracked matches45%Win rate2023Tracked since
CSDB Rating3.6 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGBorgFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning39
Utility38

0–100 skill scores via Leetify.

Recent form

COLD54415Last 10054%Win rateLLLLLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim3.9
Aggression3.0
Utility3.8
Positioning3.9
Opening Duels0.0

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 72% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Aim3.9
Positioning3.9
Utility3.8
Mechanics4.5
Opening Duels0.5
Win Impact3.3

Composite 3.6/10 (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-0.05−0.04
first ⅓ avg -0.01 → last ⅓ avg -0.05
Reaction time678ms+2ms
first ⅓ avg 676ms → last ⅓ avg 678ms
Headshot accuracy11.7%−1.1%
first ⅓ avg 12.8% → last ⅓ avg 11.7%

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.

Highlights

0.12Best rating — inferno 13–10
132Biggest win — mirage
11Longest win streak
L7Current streak
83In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 68% over 19infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S1913668%-0.01
mirageS1812667%-0.01
infernoC167944%-0.03
nukeA159660%-0.02
ancientB137654%-0.02
anubisB115645%-0.01
overpass3030%-0.09
office2020%-0.06
train21150%0.02
cache1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
38%Win rate
0.58Avg K/D
ADR
29%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.427.3
Ancient333%0.678.7
Vertigo250%0.629.5
Inferno20%0.448.0
Nuke2100%0.8811.0

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.

11.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.7%Spray accuracy
70.3%Counter-strafing
10.5°Preaim
658msReaction time
24.3%T opening success
34.3%CT opening success
0.58Enemies flashed / flash
2.2%Flash assists
6.52HE damage / grenade
6.83Flashes / 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 11.5843% — 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 24.3379% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache3–13-0.087%24 Aug
ancient7–13-0.048%20 Aug
inferno1–9-0.185%14 Aug
inferno3–13-0.1017%14 Aug
ancient4–13-0.0314%13 Aug
mirage7–13-0.056%13 Aug
nuke1–13-0.1021%12 Aug
dust213–7-0.0118%12 Aug
mirage13–50.0118%12 Aug
mirage16–14-0.0317%12 Aug
ancient9–13-0.018%12 Aug
mirage13–7-0.047%12 Aug
mirage7–13-0.079%11 Aug
mirage13–70.0012%30 Jul
dust27–13-0.0710%30 Jul
ancient13–8-0.036%26 Jul
nuke4–13-0.038%26 Jul
ancient11–13-0.0615%26 Jul
anubis4–13-0.0317%25 Jul
inferno8–8-0.057%25 Jul
inferno9–2-0.047%25 Jul
dust212–12-0.1014%24 Jul
overpass0–13-0.0826%24 Jul
nuke13–8-0.0910%24 Jul
inferno2–9-0.1822%24 Jul
overpass7–9-0.0813%24 Jul
dust213–90.0616%25 Mar
nuke13–50.0410%25 Mar
anubis7–13-0.014%23 Mar
mirage6–13-0.0213%20 Mar
inferno13–9-0.032%20 Mar
anubis4–13-0.030%19 Mar
mirage13–70.0119%19 Mar
nuke4–10-0.0413%19 Mar
anubis13–11-0.038%19 Mar
office3–13-0.0816%19 Mar
ancient13–50.0819%19 Mar
mirage13–11-0.0519%19 Mar
mirage13–20.0123%19 Mar
ancient13–3-0.0524%19 Mar
dust27–130.0215%19 Mar
ancient13–4-0.0512%19 Mar
nuke12–12-0.047%18 Mar
nuke15–150.038%18 Mar
dust211–1-0.0422%18 Mar
inferno8–13-0.059%18 Mar
dust213–50.0218%18 Mar
nuke13–20.0710%18 Mar
dust213–6-0.056%18 Mar
inferno13–100.0211%18 Mar
inferno11–13-0.0516%17 Mar
dust211–20.0813%17 Mar
dust213–110.0610%16 Mar
dust28–13-0.0018%16 Mar
dust213–8-0.0213%16 Mar
dust213–11-0.0619%15 Mar
office9–13-0.0310%15 Mar
inferno4–13-0.017%15 Mar
mirage13–11-0.0116%13 Mar
ancient3–13-0.0615%13 Mar
ancient13–110.0815%13 Mar
dust23–13-0.0024%13 Mar
anubis13–100.0121%13 Mar
inferno7–13-0.029%13 Mar
mirage9–130.0311%13 Mar
anubis8–13-0.029%13 Mar
mirage8–13-0.037%13 Mar
overpass0–4-0.1167%12 Mar
nuke16–13-0.024%12 Mar
nuke13–40.0319%12 Mar
anubis4–00.0320%12 Mar
inferno13–160.057%12 Mar
inferno9–40.0510%12 Mar
mirage5–13-0.0717%12 Mar
dust213–10-0.0210%8 Mar
inferno13–8-0.0010%7 Mar
ancient13–5-0.0013%7 Mar
ancient13–10-0.0610%7 Mar
anubis13–40.0416%7 Mar
dust213–2-0.0311%6 Mar
nuke13–4-0.0410%6 Mar
inferno13–5-0.0411%6 Mar
nuke13–40.025%6 Mar
mirage13–9-0.0116%2 Mar
nuke13–60.0414%2 Mar
anubis12–12-0.069%2 Mar
dust213–10-0.0414%2 Mar
train13–60.077%27 Feb
anubis13–90.0111%27 Feb
mirage13–8-0.0015%27 Feb
nuke5–13-0.0912%27 Feb
inferno13–100.127%26 Feb
dust213–110.017%26 Feb
dust25–13-0.0319%26 Feb
ancient9–13-0.064%26 Feb
anubis8–130.019%25 Feb
train9–13-0.047%25 Feb
mirage13–70.088%25 Feb
nuke9–13-0.0610%25 Feb
mirage13–40.0313%24 Feb

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →