goodfornothing

goodfornothing — CS2 Stats

GB76561197969773669[U:1:9507941]Steam profile ↗✓ No bans

994Tracked matches55%Win rate2021Tracked since
CSDB Rating5.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 994 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,508 +1,134 30 Jan – 10 Apr · 14 days played
17,37418,700peak 18,70030 Jan10 Apr
18,767Peak Premier in tracked matches
1,034Highest Faceit ELO seen on CSDB
61Days played since 2024-01-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGgoodfornothingPEAK ELO1,034csdb.gg/stats

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Performance scores

Aim58
Positioning46
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWLWTLLWLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · +5ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 627ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 634ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 632ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility5.1
Positioning4.6
Opening Duels1.1
Clutch3.4

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.

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 647ms 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

Aim5.8
Positioning4.6
Utility5.1
Mechanics7.3
Opening Duels1.7
Win Impact6.7

Composite 5.4/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time646ms−2ms
first ⅓ avg 648ms → last ⅓ avg 646ms
Headshot accuracy14.5%+1.6%
first ⅓ avg 12.9% → last ⅓ avg 14.5%

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.

Personal bests

0.16Best match rating · 16–13 · inferno, 18 Apr →
36%Best headshot accuracy · 13–3 · overpass, 23 Feb →
453msFastest reaction time · 11–13 · inferno, 6 Sept →
13–2Biggest win · dust2, 7 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 78% over 9dust2Weakest map · 48% over 21
MapGradePlayedRecordWin rateAvg rating
infernoA2916–1355%-0.02
dust2B2110–1148%-0.03
nukeA148–657%-0.01
overpassA106–460%-0.03
anubisB105–550%-0.02
ancientS97–278%-0.01
mirage—30–30%-0.06
cache—21–150%-0.02
train—11–0100%-0.06
assembly—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (48% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

926Matches
49%Win rate
0.87Avg K/D
68.1ADR
32%Headshot %

Clutches & streaks

37%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust25555%0.9413.9
Inferno4252%0.8212.6
Anubis2143%1.0414.7
Nuke2040%0.7813.8
Ancient1753%0.8514.3
Overpass1040%0.7312.0
Train617%0.8514.0
Mirage520%0.6710.0

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.

14.8%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.4%Spray accuracy
83.1%Counter-strafing
10.0°Preaim
647msReaction time
24.1%T opening success
43.8%CT opening success
0.76Enemies flashed / flash
6.5%Flash assists
10.26HE damage / grenade
9.79Flashes / 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 14.7669% — 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 24.1342% — below the 40% mark we flag

Spend your practice time on Dust 2

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

48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.096%21 Aug →
inferno5–13-0.0214%30 May →
cache13–5-0.0214%30 May →
cache12–12-0.0211%30 May →
dust213–16-0.0116%22 May →
dust220–22-0.0413%1 May →
dust213–9-0.0630%23 Apr →
nuke14–16-0.0512%20 Feb →
inferno16–12-0.0719%21 Nov →
train13–7-0.067%21 Nov →
dust213–11-0.0122%21 Nov →
ancient13–80.0314%21 Nov →
nuke13–90.026%21 Nov →
dust211–13-0.0116%11 Nov →
inferno11–13-0.0215%11 Nov →
dust26–13-0.0913%11 Nov →
overpass4–13-0.1018%11 Nov →
inferno13–80.0316%20 Sept →
dust28–130.0224%20 Sept →
inferno11–13-0.0623%6 Sept →
overpass7–13-0.0510%10 Aug →
overpass13–6-0.0213%3 Aug →
overpass13–7-0.0117%31 Jul →
dust213–9-0.0116%31 Jul →
overpass13–8-0.0415%29 Jul →
dust213–5-0.0020%6 Jun →
inferno7–13-0.0416%5 Jun →
inferno13–10-0.042%7 May →
dust213–20.0218%7 May →
nuke9–13-0.0612%4 May →
dust23–13-0.087%25 Apr →
anubis13–40.1018%20 Apr →
dust28–130.029%20 Apr →
inferno16–130.1629%18 Apr →
anubis7–13-0.032%21 Mar →
inferno13–9-0.0412%1 Mar →
anubis19–150.0010%15 Feb →
dust213–11-0.0516%14 Feb →
ancient13–10-0.0018%6 Feb →
nuke13–11-0.0214%6 Feb →
anubis13–100.0526%2 Feb →
inferno13–9-0.0318%2 Feb →
dust213–11-0.043%2 Feb →
anubis10–13-0.066%1 Feb →
inferno9–130.049%25 Jan →
inferno13–11-0.012%23 Jan →
inferno13–70.0414%21 Jan →
dust213–5-0.0411%19 Jan →
inferno13–40.0321%18 Jan →
dust213–11-0.029%4 Jan →
anubis11–13-0.0312%4 Jan →
dust213–4-0.0211%4 Jan →
inferno16–130.0613%6 Dec →
inferno13–110.0413%9 Nov →
dust212–16-0.1027%1 Nov →
inferno10–13-0.0317%12 Oct →
dust29–130.0314%12 Oct →
assembly4–5-0.0515%27 Sept →
inferno13–16-0.0512%5 Aug →
inferno16–14-0.042%20 Jul →
ancient13–110.019%4 Jul →
dust29–13-0.083%4 Jul →
mirage8–13-0.082%3 Jul →
nuke13–60.0310%2 Jul →
mirage4–13-0.0611%28 Jun →
inferno8–13-0.0311%15 Jun →
dust211–13-0.0316%4 May →
inferno13–9-0.015%10 Apr →
ancient12–16-0.0911%10 Apr →
inferno15–150.0014%3 Apr →
ancient13–8-0.1012%3 Apr →
inferno10–13-0.047%30 Mar →
ancient13–6-0.0214%30 Mar →
nuke13–100.0117%30 Mar →
nuke13–5-0.0323%25 Feb →
ancient13–160.0010%24 Feb →
nuke8–13-0.0312%24 Feb →
nuke9–13-0.0114%24 Feb →
anubis13–11-0.079%23 Feb →
overpass13–30.0336%23 Feb →
inferno6–13-0.0615%23 Feb →
nuke13–11-0.0114%23 Feb →
inferno5–13-0.0821%23 Feb →
inferno0–13-0.050%17 Feb →
nuke9–13-0.0614%17 Feb →
overpass13–5-0.029%17 Feb →
anubis13–11-0.0813%16 Feb →
ancient1–1-0.0433%16 Feb →
nuke16–12-0.0010%16 Feb →
mirage6–13-0.0513%12 Feb →
overpass7–13-0.048%9 Feb →
nuke13–60.0111%9 Feb →
anubis9–13-0.0610%8 Feb →
nuke9–130.027%8 Feb →
inferno12–9-0.025%8 Feb →
overpass5–13-0.076%2 Feb →
inferno13–8-0.019%31 Jan →
ancient13–100.0918%31 Jan →
anubis6–13-0.0516%30 Jan →
overpass13–90.0213%30 Jan →

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 →

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