Forged_Nerd

Forged_Nerd — CS2 Stats

ES76561199061738974[U:1:1101473246]Steam profile ↗✓ No bans

101Tracked matches48%Win rate2021Tracked since
581Hours in CS32Hrs last 2 wks
CSDB Rating7.0 StrongAll-Rounder
Premier CS Rating18,735Top 50% of 213,211 CSDB-tracked playersPurple band · top ~13.5% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

18,735Peak Premier in tracked matches
36Days played since 2021-01-29

Premier CS Rating

  • At peak — 18,735
  • Next: Pink band at 20,000 — 1,265 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate45.7%44.4%46.9%1.2% short
Shot accuracy21.1%11.9%13.0%above
Kill/death ratio1.591.031.08above
Match win rate46.0%45.2%46.7%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGForged_NerdPREMIER18,735 · Purple bandcsdb.gg/stats

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Performance scores

Aim93
Positioning55
Utility58

0–100 skill scores via Leetify.

Recent form

HOT44–46–8Last 9845%Win rateLTWWWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.07 avg rating · −0.4pp headshot accuracy · −8ms reaction

Win rate up 40pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 19%
  • Avg reaction 498ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 18%
  • Avg reaction 499ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 503ms

Newest first, from the last 98 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim9.3
Utility5.8
Positioning5.5
Opening Duels3.8

Sharp aimerExcellent counter-strafing

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 94% playstyle similarity

Most alike: aim profile, 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3
Positioning5.5
Utility5.8
Mechanics9.0
Opening Duels4.2
Win Impact4.4

Composite 7.0/10 (Strong), 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 rating0.05+0.05
first ⅓ avg -0.01 → last ⅓ avg 0.05
Reaction time516ms−102ms
first ⅓ avg 619ms → last ⅓ avg 516ms
Headshot accuracy18.2%+2.5%
first ⅓ avg 15.7% → last ⅓ avg 18.2%

Rolling 5-match average across the last 98 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.30Best match rating · 9–1 · vertigo, 31 Mar →
38%Best headshot accuracy · 9–1 · vertigo, 31 Mar →
367msFastest reaction time · 7–9 · inferno, 30 Sept →
13–1Biggest win · mirage, 10 Sept →

Across the last 98 tracked matches.

Highlights

6Longest win streak
2–11In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 70% over 10anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%0.01
infernoC218–1338%0.04
dust2D133–1023%0.02
ancientA116–555%0.02
cacheS107–370%0.06
anubisD71–614%-0.01
nukeD51–420%0.04
vertigoA53–260%0.10
overpass—30–30%-0.11
office—22–0100%0.10

Across the last 98 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,491Lifetime kills
1.59K/D · Top 5% of Purple band
1,025Matches
46.0%Match win rate · Top 50% of Purple band
45.7%Headshot % · Top 50% of Purple band
21.1%Shot accuracy · Top 5% of Purple band
3,542MVPs
266Hours (in match)
866Bombs planted
359Bombs defused

Most-used weapons

Lifetime map wins

1,481inferno
612cbble
443dust2
293nuke
246train
239vertigo
66office
49lake

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

Faceit stats

Combat

5Matches
20%Win rate
0.56Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

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.

18.1%Headshot accuracy
41.7%Accuracy (enemy spotted)
42.9%Spray accuracy
90.7%Counter-strafing
8.0°Preaim
517msReaction time
49.1%T opening success
44.2%CT opening success
0.58Enemies flashed / flash
3.8%Flash assists
9.32HE damage / grenade
12.52Flashes / match

Recommended for you

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.1021%3 Nov →
mirage12–120.1117%3 Nov →
inferno13–60.1312%3 Nov →
cache13–50.0415%28 Oct →
mirage13–80.1028%28 Oct →
office10–60.1117%28 Oct →
office13–20.0813%28 Oct →
inferno5–130.0124%27 Oct →
cache13–40.0720%27 Oct →
mirage13–40.0412%27 Oct →
ancient7–13-0.0230%26 Oct →
anubis9–13-0.078%25 Oct →
anubis10–130.0117%25 Oct →
dust21–13-0.0126%25 Oct →
cache13–50.0925%25 Oct →
mirage4–13-0.0521%25 Oct →
ancient7–13-0.0314%25 Oct →
ancient13–90.089%25 Oct →
ancient13–90.0211%25 Oct →
dust28–130.0722%24 Oct →
inferno13–110.0919%24 Oct →
mirage10–130.0117%24 Oct →
anubis13–50.0513%24 Oct →
inferno13–60.1221%24 Oct →
cache10–130.0016%24 Oct →
anubis11–130.057%24 Oct →
cache8–130.0222%22 Oct →
dust29–13-0.0333%22 Oct →
cache10–13-0.0114%21 Oct →
cache13–40.1824%21 Oct →
ancient13–60.0517%19 Oct →
mirage12–120.0618%19 Oct →
mirage13–60.0814%19 Oct →
inferno6–130.0729%18 Oct →
ancient13–30.0716%18 Oct →
inferno11–130.0717%10 Oct →
dust29–130.0714%9 Oct →
dust27–10.0122%9 Oct →
mirage13–10-0.038%9 Oct →
cache13–30.1620%7 Oct →
mirage13–50.0319%6 Oct →
mirage13–30.0416%6 Oct →
ancient13–70.109%6 Oct →
nuke8–80.052%5 Oct →
inferno6–90.0415%5 Oct →
mirage13–40.0837%4 Oct →
dust25–130.0715%4 Oct →
mirage3–130.0116%4 Oct →
inferno7–90.0919%30 Sept →
overpass3–9-0.104%30 Sept →
inferno12–12-0.0713%30 Sept →
mirage8–13-0.0417%30 Sept →
anubis11–130.0412%29 Sept →
dust26–13-0.055%29 Sept →
inferno13–2-0.0110%27 Sept →
dust213–20.0714%27 Sept →
cache13–50.0520%27 Sept →
nuke7–90.0214%27 Sept →
vertigo4–90.0114%26 Sept →
inferno6–90.0721%26 Sept →
ancient3–130.0013%25 Sept →
mirage13–70.0113%25 Sept →
vertigo9–50.1821%25 Sept →
vertigo13–100.0515%25 Sept →
ancient12–120.0618%22 Sept →
inferno5–130.0128%22 Sept →
inferno12–120.0522%22 Sept →
mirage2–0-0.100%22 Sept →
inferno8–80.0120%15 Sept →
cache13–30.0412%14 Sept →
nuke9–50.1919%14 Sept →
ancient13–7-0.018%12 Sept →
inferno13–20.1824%12 Sept →
mirage13–50.0310%11 Sept →
inferno7–130.0412%11 Sept →
dust22–13-0.0420%11 Sept →
dust27–13-0.0719%11 Sept →
mirage13–90.0210%11 Sept →
inferno3–13-0.106%11 Sept →
mirage13–10.0517%10 Sept →
anubis11–13-0.103%19 Jan →
inferno7–9-0.0831%1 Apr →
mirage11–13-0.0613%31 Mar →
inferno13–9-0.0122%31 Mar →
mirage5–13-0.0713%31 Mar →
inferno13–10-0.0512%31 Mar →
vertigo5–13-0.0425%31 Mar →
anubis11–13-0.0312%31 Mar →
vertigo9–10.3038%31 Mar →
overpass0–9-0.240%31 Mar →
nuke8–8-0.0128%31 Mar →
ancient1–13-0.0814%30 Mar →
dust213–100.0322%18 Feb →
inferno9–30.0715%28 Sept →
overpass7–90.0024%28 Sept →
nuke7–9-0.079%13 Feb →
mirage16–12-0.0412%10 Feb →
dust26–160.0011%29 Jan →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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