Nerrod

Nerrod — CS2 Stats

NL76561198245217646[U:1:284951918]Steam profile ↗✓ No bans

533Tracked matches59%Win rate2020Tracked since
CSDB Rating5.4 DevelopingClutch Specialist
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim62
Positioning51
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLLLWWWLWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +5.0pp headshot accuracy · +84ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 588ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 626ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 584ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+0.9 against its own average).

Aim6.2
Utility4.8
Positioning5.1
Opening Duels2.8
Clutch5.4

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

Twistzz

Plays most like Twistzz 88% 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

Reaction time. 589ms 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

Aim6.2
Positioning5.1
Utility4.8
Mechanics5.3
Opening Duels2.5
Win Impact7.9

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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time604ms−12ms
first ⅓ avg 616ms → last ⅓ avg 604ms
Headshot accuracy16.6%−0.5%
first ⅓ avg 17.1% → last ⅓ avg 16.6%

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

0.17Best match rating · 6–0 · inferno, 14 May →
52%Best headshot accuracy · 2–13 · cache, 16 May →
469msFastest reaction time · 13–11 · vertigo, 2 Jul →
13–1Biggest win · cache, 25 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
11–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 64% over 14anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
cacheA2514–1156%0.01
infernoA2212–1055%-0.01
dust2A149–564%0.01
anubisD134–931%-0.01
mirage—44–0100%0.04
office—41–325%0.01
overpass—41–325%-0.03
train—30–30%0.01
ancient—30–30%0.02
vertigo—22–0100%0.01
stronghold—21–150%0.00
shelter—10–10%-0.03
warden—10–10%0.02
alpine—11–0100%0.13
italy—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

104Matches
67%Win rate
1.98Avg K/D
97.7ADR
35%Headshot %

Clutches & streaks

47%1v1 clutch win
0%1v2 clutch win
20Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%1.3917.6
Inferno580%1.7419.4
Dust2367%1.5323.0
Cache367%1.4320.3

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.

16.8%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.9%Spray accuracy
73.8%Counter-strafing
10.1°Preaim
589msReaction time
34.6%T opening success
45.5%CT opening success
0.50Enemies flashed / flash
3.4%Flash assists
9.33HE damage / grenade
9.65Flashes / 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. 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 0.4963 — below the 0.5 mark we flag

    Grenade Lineups →
  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 34.6192% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
train8–13-0.0126%9 Oct →
train4–130.0219%9 Oct →
cache4–13-0.0731%8 Sept →
dust214–16-0.0617%5 Sept →
inferno13–110.0314%1 Aug →
dust213–11-0.0713%20 Jul →
inferno13–110.0016%20 Jul →
shelter6–13-0.0315%9 Jul →
cache13–11-0.0427%9 Jul →
cache13–70.0415%8 Jul →
cache4–130.0017%8 Jul →
cache13–60.0414%5 Jul →
train5–130.0214%2 Jul →
vertigo13–11-0.026%2 Jul →
ancient11–130.0214%30 Jun →
dust213–80.0722%30 Jun →
anubis10–13-0.0711%30 Jun →
dust213–60.0218%30 Jun →
cache11–130.0314%30 Jun →
inferno16–13-0.0412%27 Jun →
cache9–13-0.0521%23 Jun →
inferno13–90.0422%23 Jun →
cache13–10-0.0114%7 Jun →
inferno13–80.0121%7 Jun →
dust213–40.1118%1 Jun →
cache13–10-0.0214%1 Jun →
cache13–60.0416%28 May →
anubis7–13-0.0219%27 May →
cache13–10.0324%25 May →
cache12–12-0.0412%25 May →
cache13–70.0412%24 May →
cache11–13-0.0613%20 May →
cache3–13-0.0511%20 May →
cache2–13-0.0052%16 May →
inferno6–00.178%14 May →
cache13–90.029%14 May →
cache13–8-0.0110%13 May →
cache4–13-0.0312%13 May →
cache13–10-0.0410%8 May →
cache13–80.0812%5 May →
cache9–130.0618%3 May →
cache13–40.1322%2 May →
cache13–50.038%2 May →
cache11–13-0.0113%2 May →
mirage13–70.0912%23 Apr →
inferno8–13-0.0922%21 Apr →
office5–13-0.0622%19 Apr →
dust26–13-0.0215%17 Apr →
warden9–130.029%14 Apr →
inferno5–13-0.016%12 Apr →
overpass2–13-0.039%9 Apr →
ancient4–130.0225%6 Apr →
dust25–13-0.0716%6 Apr →
mirage13–80.0717%6 Apr →
dust213–5-0.0125%3 Apr →
anubis13–60.079%3 Apr →
anubis6–13-0.0013%2 Apr →
stronghold13–100.0311%31 Mar →
anubis3–13-0.0510%30 Mar →
anubis4–13-0.029%28 Mar →
stronghold12–12-0.0215%27 Mar →
alpine13–20.139%27 Mar →
inferno13–7-0.0413%27 Mar →
ancient11–130.0014%22 Mar →
anubis13–8-0.034%22 Mar →
inferno6–130.0114%21 Mar →
office13–70.0922%21 Mar →
overpass3–13-0.0710%18 Mar →
office11–130.0122%15 Mar →
overpass9–70.0413%15 Mar →
inferno7–9-0.0315%15 Mar →
anubis6–130.0118%13 Mar →
overpass6–13-0.0616%2 Mar →
dust213–110.0131%27 Feb →
inferno13–10-0.009%27 Feb →
dust210–130.0218%21 Feb →
anubis9–13-0.0322%21 Feb →
inferno13–60.019%18 Feb →
dust27–130.0716%18 Feb →
inferno2–13-0.0929%14 Feb →
vertigo13–110.0417%12 Feb →
inferno9–13-0.0615%10 Feb →
anubis13–110.0223%10 Feb →
italy12–120.0118%6 Feb →
anubis13–50.0722%6 Feb →
mirage13–6-0.0112%5 Feb →
anubis10–13-0.0516%5 Feb →
anubis9–130.0228%3 Feb →
dust213–7-0.0115%31 Jan →
mirage5–10.0114%31 Jan →
inferno8–13-0.0224%30 Jan →
inferno13–160.009%29 Jan →
inferno13–6-0.0015%29 Jan →
office8–13-0.0121%20 Jan →
dust213–11-0.0017%17 Jan →
inferno13–6-0.027%14 Jan →
inferno13–7-0.0116%14 Jan →
inferno13–16-0.0524%29 Dec →
inferno9–13-0.019%28 Dec →
dust213–110.0415%25 Dec →

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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