BAARDA — CS2 Stats

76561199509311239[U:1:1549045511]✓ No bans

2,412Tracked matches60%Win rate2023Tracked since
2,543Hours in CS2Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating14,966Blue band · top ~28.6% of ranked players (population est.)
CSDB Leaderboard#34353 of 56681 tracked
FaceitLevel 5 · 1,076 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate37.4%44.0%44.7%7.3% short
Shot accuracy2.7%11.6%11.9%9.2% short
Kill/death ratio0.901.031.040.14 short
Match win rate42.9%45.1%45.2%2.3% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBAARDAFACEITLevel 5 · 1,076 ELOSTANDINGTop 67.6% of rankedPREMIER14,966 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning39
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateWWWLWWLLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim5.9
Aggression5.4
Utility6.6
Positioning3.9
Opening Duels1.6
Clutch3.2

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 598ms 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

Aim5.9
Positioning3.9
Utility6.6
Mechanics5.1
Opening Duels1.6
Win Impact8.3

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time605ms−21ms
first ⅓ avg 626ms → last ⅓ avg 605ms
Headshot accuracy14.7%+2.1%
first ⅓ avg 12.5% → last ⅓ avg 14.7%

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

0.17Best rating — anubis 13–3
132Biggest win — nuke
6Longest win streak
W3Current streak
117In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 76% over 17infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB189950%-0.01
infernoC1761135%0.02
ancientS1713476%0.03
dust2B168850%0.00
anubisC156940%0.03
nukeA117464%0.04
cache42250%0.01
office110100%0.06
overpass110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,626Lifetime kills
0.90K/D
3,116Matches
42.9%Match win rate
37.4%Headshot %
2.7%Shot accuracy
5,836MVPs
1,301Hours (in match)
2,025Bombs planted
716Bombs defused

Most-used weapons

AK-4716,633
AWP5,186
MAC-102,531
MP92,524
SSG 081,279
FAMAS1,259

Lifetime map wins

6,432dust2
5,091inferno
2,566nuke
1,198vertigo
348train
69office
43italy
14cbble

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

Faceit stats

Combat

253Matches
53%Win rate
1.15Avg K/D
77.8ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4257%1.0013.5
Anubis3658%1.0313.9
Dust22850%0.9414.6
Inferno2227%0.9715.6
Ancient1958%0.9714.3
Nuke1354%1.0916.5
Vertigo5100%1.4016.8
Overpass475%0.9413.0

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.

14.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.0%Spray accuracy
72.8%Counter-strafing
8.2°Preaim
598msReaction time
38.1%T opening success
34.5%CT opening success
0.72Enemies flashed / flash
5.1%Flash assists
13.89HE damage / grenade
7.54Flashes / 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 14.6839% — 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 38.1144% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–50.0119%30 Aug
mirage13–50.0520%30 Aug
dust213–5-0.0030%30 Aug
inferno8–13-0.0412%15 Aug
inferno13–5-0.0225%15 Aug
ancient13–7-0.0322%15 Aug
dust210–13-0.0813%15 Aug
ancient7–13-0.0420%15 Aug
mirage13–7-0.0216%15 Aug
cache6–13-0.0821%15 Aug
ancient13–11-0.0718%15 Aug
inferno13–160.0013%15 Aug
mirage13–8-0.039%15 Aug
inferno4–13-0.0412%15 Aug
mirage4–13-0.0723%14 Aug
inferno9–13-0.0319%7 Aug
inferno13–70.015%7 Aug
nuke13–8-0.063%7 Aug
anubis13–9-0.0017%31 Jul
ancient8–13-0.0011%30 Jul
dust213–30.0317%30 Jul
inferno5–130.0211%30 Jul
dust26–13-0.0417%30 Jul
nuke13–70.0713%25 Jul
anubis13–70.115%21 Jul
ancient13–110.0613%21 Jul
anubis10–13-0.0711%15 Jul
ancient13–30.005%15 Jul
office13–100.0614%14 Jul
nuke13–80.0412%13 Jul
ancient13–11-0.027%13 Jul
dust213–90.0715%13 Jul
nuke7–130.0516%13 Jul
nuke13–60.0415%13 Jul
dust213–11-0.0212%13 Jul
ancient13–80.0911%12 Jul
anubis13–30.1713%12 Jul
nuke13–20.1717%12 Jul
ancient13–60.0818%12 Jul
dust211–13-0.0112%12 Jul
mirage13–11-0.0510%12 Jul
anubis14–160.0411%12 Jul
mirage6–13-0.039%12 Jul
dust213–7-0.0211%12 Jul
mirage5–13-0.089%11 Jul
inferno11–130.0412%11 Jul
cache13–70.1117%11 Jul
nuke5–13-0.0516%11 Jul
cache13–100.0213%11 Jul
inferno8–13-0.0312%11 Jul
mirage16–13-0.0214%11 Jul
inferno13–50.1518%11 Jul
mirage2–13-0.0620%11 Jul
ancient9–130.0311%11 Jul
dust213–100.0118%11 Jul
nuke13–20.0613%10 Jul
anubis13–110.1019%10 Jul
dust211–130.0414%10 Jul
ancient13–80.038%10 Jul
cache14–16-0.005%10 Jul
anubis10–130.0520%10 Jul
ancient13–20.1311%4 Jul
ancient13–50.058%4 Jul
inferno13–11-0.029%4 Jul
anubis9–130.1013%4 Jul
inferno10–130.036%4 Jul
mirage16–140.029%4 Jul
nuke3–13-0.015%4 Jul
mirage13–110.0811%2 Jul
dust216–140.0312%2 Jul
anubis6–13-0.056%2 Jul
mirage5–13-0.049%2 Jul
anubis10–13-0.018%2 Jul
anubis12–70.0517%1 Jul
nuke13–80.0619%1 Jul
ancient13–7-0.0212%1 Jul
mirage7–130.0712%1 Jul
nuke8–130.0920%30 Jun
mirage10–130.057%30 Jun
inferno13–20.1118%29 Jun
anubis8–13-0.0413%29 Jun
mirage13–110.1112%29 Jun
inferno8–130.0514%28 Jun
dust29–130.0413%28 Jun
ancient16–130.0621%28 Jun
inferno11–130.0510%28 Jun
anubis11–13-0.0213%28 Jun
dust210–13-0.0313%28 Jun
overpass13–100.0212%28 Jun
inferno13–80.037%28 Jun
anubis13–70.0412%28 Jun
anubis9–130.059%28 Jun
ancient13–80.069%28 Jun
ancient7–130.014%28 Jun
mirage1–13-0.0421%28 Jun
mirage13–3-0.0218%28 Jun
inferno6–130.0511%27 Jun
dust23–13-0.0214%27 Jun
mirage3–13-0.0117%27 Jun
dust215–150.0413%27 Jun

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 →