Gamer Go Bang

Gamer Go Bang — CS2 Stats

76561199427483949[U:1:1467218221]Steam profile ↗

711Tracked matches35%Win rate2023Tracked since
428Hours in CS
CSDB Rating1.9 Learning
Ladder ranks via Leetify

Performance scores

Aim9
Positioning18
Utility25

0–100 skill scores via Leetify.

Recent form

COLD30619Last 10030%Win rateLWLLLLWLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim0.9
Aggression0.0
Utility2.5
Positioning1.8
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 53% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 20% on CT to 4% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 816ms 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

Aim0.9
Positioning1.8
Utility2.5
Mechanics5.7
Opening Duels0.0
Win Impact0.0

Composite 1.9/10 (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-0.08−0.06
first ⅓ avg -0.02 → last ⅓ avg -0.08
Reaction time822ms+142ms
first ⅓ avg 680ms → last ⅓ avg 822ms
Headshot accuracy10.1%−3.2%
first ⅓ avg 13.3% → last ⅓ avg 10.1%

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

0.09Best rating — inferno 13–9
131Biggest win — dust2
4Longest win streak
43In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 50% over 8ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D1841422%-0.07
anubisC104640%-0.08
infernoC104640%-0.05
ancientD91811%-0.05
officeD82625%-0.09
vertigoB84450%-0.06
cacheD81713%-0.09
nukeC83538%-0.07
mirageD51420%-0.04
overpass42250%-0.03
fachwerk2020%-0.11
shelter21150%-0.09
warden220100%-0.12
train2020%-0.07
italy2020%-0.09
stronghold110100%-0.10
alpine1010%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,597Lifetime kills
0.49K/D
1,484Matches
33.5%Match win rate
40.7%Headshot %
4.6%Shot accuracy
824MVPs
428Hours (in match)
708Bombs planted
117Bombs defused

Most-used weapons

Lifetime map wins

2,245dust2
803inferno
571vertigo
569nuke
510office
121train
83italy
36cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.5%Headshot accuracy
23.8%Accuracy (enemy spotted)
24.7%Spray accuracy
75.8%Counter-strafing
12.6°Preaim
816msReaction time
3.8%T opening success
19.9%CT opening success
0.43Enemies flashed / flash
3.0%Flash assists
2.91HE damage / grenade
5.71Flashes / 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 12.6135° — 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 9.4692% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 816.1602ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
fachwerk10–13-0.117%11 Aug
office13–5-0.027%11 Aug
ancient5–13-0.104%11 Aug
vertigo0–13-0.106%11 Aug
anubis6–13-0.0710%4 Aug
fachwerk3–13-0.1224%4 Aug
shelter13–2-0.0918%4 Aug
shelter5–13-0.0910%19 Jul
office10–13-0.0915%19 Jul
cache13–9-0.100%19 Jul
anubis8–13-0.089%22 Jun
ancient13–3-0.0411%13 Jun
dust213–4-0.015%13 Jun
dust212–12-0.0216%13 Jun
dust213–60.0217%13 Jun
vertigo13–11-0.0911%4 Jun
anubis12–12-0.090%30 May
warden13–10-0.0911%27 May
dust210–13-0.0911%27 May
dust27–13-0.179%26 May
dust26–13-0.060%26 May
anubis13–8-0.093%20 May
dust20–13-0.0811%20 May
dust27–13-0.118%20 May
office12–12-0.084%20 May
dust212–12-0.074%20 May
nuke4–13-0.0515%20 May
cache8–12-0.0123%18 May
dust25–13-0.1019%14 May
cache9–13-0.158%14 May
dust28–13-0.1512%13 May
warden13–7-0.1510%13 May
cache12–12-0.0818%13 May
dust24–13-0.1123%13 May
cache6–13-0.1212%9 May
dust25–13-0.1224%7 May
cache10–13-0.0225%7 May
mirage10–13-0.056%7 May
dust28–13-0.144%6 May
nuke11–13-0.102%5 May
cache9–13-0.1415%5 May
cache5–13-0.0713%5 May
vertigo13–5-0.0911%5 May
ancient1–13-0.050%26 Apr
mirage5–13-0.084%26 Apr
nuke4–9-0.2540%22 Apr
inferno2–9-0.2013%22 Apr
office5–13-0.120%22 Apr
inferno11–13-0.0710%22 Apr
office7–13-0.066%22 Apr
inferno2–13-0.095%22 Apr
mirage9–13-0.046%22 Apr
inferno1–13-0.1029%22 Apr
dust213–1-0.040%21 Apr
nuke10–13-0.094%20 Apr
vertigo13–7-0.1111%20 Apr
office8–13-0.146%20 Apr
ancient0–13-0.120%18 Apr
train1–13-0.0620%18 Apr
dust26–13-0.078%18 Apr
italy2–13-0.1010%18 Apr
anubis13–9-0.118%18 Apr
stronghold13–4-0.1017%17 Apr
overpass13–9-0.1113%17 Apr
inferno13–3-0.0516%17 Apr
anubis4–13-0.1211%17 Apr
office9–13-0.109%17 Apr
anubis9–13-0.095%17 Apr
nuke5–13-0.0611%16 Apr
ancient6–13-0.1311%16 Apr
office13–11-0.1110%16 Apr
train3–13-0.0811%16 Apr
anubis13–4-0.079%12 Apr
ancient12–12-0.0716%12 Apr
vertigo3–13-0.076%12 Apr
italy1–13-0.090%12 Apr
nuke13–20.0516%8 Apr
dust213–80.0013%6 Apr
vertigo13–9-0.0213%6 Apr
mirage13–80.064%6 Apr
anubis5–13-0.037%2 Apr
nuke9–5-0.0621%28 Mar
overpass7–130.0210%28 Mar
anubis13–11-0.0015%28 Mar
vertigo12–12-0.023%22 Mar
dust21–130.0330%22 Mar
nuke13–20.0125%22 Mar
ancient12–12-0.0113%22 Mar
alpine11–130.0124%22 Mar
inferno4–13-0.0320%22 Mar
mirage3–13-0.0725%22 Mar
vertigo3–13-0.0219%22 Mar
inferno4–13-0.0311%20 Mar
inferno13–90.0913%18 Mar
overpass5–13-0.036%12 Mar
overpass13–80.018%12 Mar
ancient12–120.0514%9 Mar
inferno13–80.0119%3 Mar
ancient2–70.0320%3 Mar
inferno13–11-0.0215%3 Mar

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 →