Gway128

Gway128 — CS2 Stats

76561199694246179[U:1:1733980451]Steam profile ↗✓ No bans

298Tracked matches62%Win rate2024Tracked since
347Hours in CS85Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim41
Positioning55
Utility23

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateTLWLWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · +1ms reaction

Win rate down 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 639ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 604ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 604ms

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 (+2.2 against its own average).

Aim4.1
Utility2.3
Positioning5.5
Opening Duels2.2

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 76% playstyle similarity

Most alike: positioning profile, 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

T-side openings. Opening success drops from 52% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim4.1
Positioning5.5
Utility2.3
Mechanics5.2
Opening Duels3.5
Win Impact8.8

Composite 4.7/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time636ms−41ms
first ⅓ avg 677ms → last ⅓ avg 636ms
Headshot accuracy9.6%+0.1%
first ⅓ avg 9.5% → last ⅓ avg 9.6%

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

0.13Best match rating · 9–13 · dust2, 19 Oct →
33%Best headshot accuracy · 8–3 · mirage, 27 Oct →
414msFastest reaction time · 0–4 · dust2, 20 Oct →
13–0Biggest win · mirage, 25 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 67% over 6nukeWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB4121–2051%-0.02
dust2C2510–1540%-0.01
nukeD154–1127%-0.02
cacheS64–267%-0.04
inferno—41–325%-0.10
office—41–325%-0.01
train—32–167%0.06
ancient—22–0100%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,944Lifetime kills
0.79K/D
603Matches
43.1%Match win rate
32.5%Headshot %
0.0%Shot accuracy
861MVPs
137Hours (in match)
255Bombs planted
34Bombs defused

Most-used weapons

Lifetime map wins

948dust2
365nuke
116office
84train
48inferno
15vertigo

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.

9.7%Headshot accuracy
36.4%Accuracy (enemy spotted)
35.8%Spray accuracy
73.5%Counter-strafing
12.9°Preaim
637msReaction time
35.6%T opening success
52.2%CT opening success
0.39Enemies flashed / flash
3.6%Flash assists
4.10HE damage / grenade
5.27Flashes / 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 12.8663° — 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 9.6637% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3914 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.027%7 Nov →
mirage3–13-0.018%7 Nov →
inferno9–5-0.188%7 Nov →
inferno9–130.0212%6 Nov →
train13–80.035%5 Nov →
office6–13-0.026%5 Nov →
nuke4–9-0.075%5 Nov →
inferno3–9-0.1917%5 Nov →
dust28–130.029%5 Nov →
mirage5–10.104%5 Nov →
ancient13–9-0.003%5 Nov →
nuke13–7-0.0411%5 Nov →
train12–120.0510%5 Nov →
mirage6–13-0.065%5 Nov →
nuke7–13-0.075%4 Nov →
ancient13–7-0.0813%4 Nov →
mirage12–12-0.0416%4 Nov →
nuke13–20.024%4 Nov →
cache13–6-0.068%4 Nov →
train13–110.0914%4 Nov →
dust213–9-0.018%4 Nov →
dust210–130.0313%3 Nov →
mirage11–13-0.076%3 Nov →
dust213–1-0.0110%3 Nov →
mirage12–12-0.075%3 Nov →
mirage13–110.038%3 Nov →
mirage6–13-0.047%3 Nov →
cache13–110.049%3 Nov →
mirage13–50.0120%2 Nov →
dust213–60.018%2 Nov →
dust213–80.048%2 Nov →
nuke6–13-0.0329%2 Nov →
mirage13–7-0.0411%2 Nov →
mirage13–9-0.008%31 Oct →
mirage13–70.0419%31 Oct →
nuke5–13-0.0317%31 Oct →
nuke6–9-0.0512%31 Oct →
mirage13–9-0.0210%31 Oct →
mirage13–9-0.049%31 Oct →
nuke8–80.0414%31 Oct →
mirage4–13-0.068%30 Oct →
mirage13–10-0.027%30 Oct →
cache3–13-0.064%30 Oct →
nuke9–13-0.0411%30 Oct →
mirage8–13-0.0821%30 Oct →
dust27–13-0.0119%30 Oct →
cache11–13-0.0913%30 Oct →
nuke10–130.0615%30 Oct →
mirage13–9-0.0216%30 Oct →
dust210–13-0.026%30 Oct →
mirage13–10-0.015%29 Oct →
mirage9–13-0.0111%28 Oct →
office13–90.0513%28 Oct →
office10–13-0.0216%28 Oct →
mirage9–13-0.0217%28 Oct →
mirage13–8-0.0611%28 Oct →
mirage13–3-0.068%27 Oct →
mirage8–3-0.0133%27 Oct →
cache10–10.014%27 Oct →
cache13–4-0.0513%27 Oct →
nuke6–13-0.0918%27 Oct →
mirage13–11-0.0414%27 Oct →
dust213–90.0612%27 Oct →
mirage13–70.028%27 Oct →
office11–13-0.0616%27 Oct →
nuke12–120.0313%26 Oct →
mirage13–6-0.045%26 Oct →
dust23–13-0.043%26 Oct →
dust28–3-0.0418%26 Oct →
mirage9–13-0.099%26 Oct →
mirage6–13-0.018%26 Oct →
dust29–13-0.034%26 Oct →
mirage7–13-0.0212%26 Oct →
mirage13–00.0210%25 Oct →
mirage13–110.069%25 Oct →
dust21–13-0.077%25 Oct →
dust29–13-0.0119%24 Oct →
mirage13–100.0617%24 Oct →
mirage11–130.0519%24 Oct →
mirage9–13-0.057%23 Oct →
dust211–13-0.057%23 Oct →
dust26–13-0.068%23 Oct →
mirage3–110.1018%23 Oct →
dust213–10-0.027%23 Oct →
mirage9–13-0.098%23 Oct →
nuke13–5-0.045%22 Oct →
nuke10–00.0525%20 Oct →
mirage4–12-0.055%20 Oct →
inferno1–13-0.054%20 Oct →
dust20–4-0.050%20 Oct →
dust213–6-0.0514%20 Oct →
mirage5–13-0.0117%20 Oct →
mirage12–10.037%20 Oct →
dust213–9-0.048%20 Oct →
dust29–13-0.030%20 Oct →
dust213–9-0.045%20 Oct →
mirage12–12-0.110%20 Oct →
dust210–130.0416%20 Oct →
dust29–130.1314%19 Oct →
dust27–90.013%19 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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