gundabaws — CS2 Stats

76561198974156056[U:1:1013890328]

797Tracked matches50%Win rate2021Tracked since
624Hours in CS34Hrs last 2 wks
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating12,370Blue band · top ~42.3% of ranked players (population est.)
CSDB Leaderboard#21438 of 31085 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianLevel 3 medianvs Level 3
Headshot rate38.7%42.1%42.1%3.4% short
Shot accuracy5.0%12.9%12.1%7.1% short
Kill/death ratio0.831.000.990.16 short
Match win rate38.8%42.9%43.9%5.1% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgundabawsFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER12,370 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning39
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY49438Last 10049%Win rateWLWWLLTLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression2.4
Utility6.2
Positioning3.9
Opening Duels0.0

Strong CT-side openerEffective flashes

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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 40% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 672ms 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
Positioning3.9
Utility6.2
Mechanics6.5
Opening Duels1.2
Win Impact5.0

Composite 4.9/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time676ms−38ms
first ⅓ avg 713ms → last ⅓ avg 676ms
Headshot accuracy11.5%−2.5%
first ⅓ avg 14.0% → last ⅓ avg 11.5%

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.

Highlights

0.14Best rating — ancient 13–4
130Biggest win — ancient
6Longest win streak
115In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 75% over 8infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C1971237%-0.00
cacheC1881044%-0.00
mirageA1811761%-0.00
nukeA106460%-0.02
vertigoS96367%0.02
ancientS86275%0.01
infernoD61517%0.02
train41325%-0.02
anubis3030%-0.01
office110100%-0.01
shelter110100%0.00
fachwerk1010%-0.03
italy1010%0.04
overpass110100%0.02

Across the last 100 tracked matches.

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

Lifetime stats

13,393Lifetime kills
0.83K/D
1,062Matches
38.8%Match win rate
38.7%Headshot %
5.0%Shot accuracy
1,232MVPs
344Hours (in match)
1,246Bombs planted
195Bombs defused

Most-used weapons

Lifetime map wins

2,107dust2
1,026inferno
757nuke
338vertigo
58train
52office
18cbble
14lake

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

Faceit stats

Combat

2Matches
0%Win rate
0.36Avg K/D
ADR
50%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

11.9%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.8%Spray accuracy
79.2%Counter-strafing
9.0°Preaim
672msReaction time
20.2%T opening success
39.5%CT opening success
0.80Enemies flashed / flash
4.7%Flash assists
13.05HE damage / grenade
8.36Flashes / 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 11.9429% — 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 20.2001% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–100.008%29 Aug
cache10–13-0.0011%27 Aug
mirage16–14-0.0518%27 Aug
office13–3-0.0110%26 Aug
cache8–130.0022%26 Aug
cache3–13-0.0210%26 Aug
cache12–12-0.0531%26 Aug
mirage3–13-0.054%25 Aug
mirage16–14-0.039%25 Aug
mirage13–6-0.0213%25 Aug
ancient13–70.0111%25 Aug
cache13–11-0.0114%24 Aug
dust213–70.0216%24 Aug
dust214–16-0.004%24 Aug
ancient13–40.1410%24 Aug
nuke5–13-0.0410%24 Aug
ancient13–9-0.0410%24 Aug
anubis10–130.029%23 Aug
cache10–13-0.0421%23 Aug
inferno4–130.039%23 Aug
mirage4–13-0.0514%23 Aug
ancient13–10.1013%23 Aug
dust212–120.0519%23 Aug
cache6–13-0.029%22 Aug
inferno10–130.016%21 Aug
mirage13–70.025%21 Aug
mirage7–13-0.073%21 Aug
dust210–130.015%21 Aug
cache13–90.0116%21 Aug
dust213–60.0213%19 Aug
mirage13–70.029%19 Aug
dust211–130.0317%19 Aug
ancient13–0-0.030%19 Aug
mirage13–50.0221%19 Aug
cache10–130.0312%19 Aug
dust27–130.007%19 Aug
inferno4–130.0213%19 Aug
cache13–6-0.028%19 Aug
mirage6–13-0.0411%19 Aug
dust213–100.0417%19 Aug
vertigo5–130.0113%18 Aug
dust213–80.0124%18 Aug
nuke0–13-0.105%18 Aug
nuke13–110.009%18 Aug
dust28–13-0.0424%18 Aug
cache13–80.0123%18 Aug
nuke12–12-0.0619%18 Aug
nuke13–10.053%17 Aug
mirage6–130.0610%17 Aug
mirage13–110.0011%15 Aug
cache13–110.0210%15 Aug
dust24–13-0.086%15 Aug
anubis2–13-0.069%13 Aug
train12–120.0115%12 Aug
cache12–120.0139%12 Aug
dust211–130.0318%12 Aug
nuke13–50.0214%11 Aug
cache13–60.0410%11 Aug
inferno3–130.0113%11 Aug
mirage13–50.0218%9 Aug
ancient4–13-0.077%8 Aug
dust212–12-0.0513%8 Aug
vertigo13–60.0126%7 Aug
vertigo3–130.0414%6 Aug
mirage13–8-0.0316%6 Aug
dust216–130.0115%6 Aug
cache10–13-0.0318%6 Aug
dust211–13-0.0413%6 Aug
dust213–11-0.0115%6 Aug
ancient2–13-0.043%6 Aug
mirage13–9-0.0216%5 Aug
cache9–130.0310%5 Aug
inferno10–13-0.034%5 Aug
mirage13–30.126%5 Aug
inferno13–50.096%4 Aug
vertigo7–130.0127%3 Aug
vertigo13–110.0210%2 Aug
train2–13-0.0517%2 Aug
anubis8–130.0110%2 Aug
train11–13-0.0319%2 Aug
vertigo11–1-0.046%2 Aug
vertigo13–90.0620%1 Aug
nuke6–13-0.0419%1 Aug
mirage12–120.0417%31 Jul
cache13–10-0.0024%30 Jul
dust25–13-0.0319%29 Jul
vertigo13–6-0.0217%29 Jul
vertigo13–70.0623%29 Jul
dust23–10-0.0511%29 Jul
mirage8–13-0.0220%29 Jul
dust213–50.019%29 Jul
cache13–7-0.0230%29 Jul
shelter13–110.0012%28 Jul
nuke13–6-0.0211%27 Jul
nuke13–3-0.029%27 Jul
nuke2–00.000%27 Jul
fachwerk4–13-0.0310%25 Jul
italy12–120.0412%25 Jul
overpass13–70.0225%25 Jul
train13–11-0.0213%25 Jul

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 →