Nervosity

Nervosity — CS2 Stats

CA76561198018722753[U:1:58457025]Steam profile ↗✓ No bans

676Tracked matches57%Win rate2021Tracked since
1,489Hours in CS
CSDB Rating4.7 Developing
Premier CS Rating13,399Blue band · top ~36.9% of ranked players (population est.)
CSDB Leaderboard#24853 of 37587 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate37.8%46.1%47.0%9.2% short
Shot accuracy17.6%12.6%12.7%above
Kill/death ratio1.311.051.07above
Match win rate49.4%45.7%46.4%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNervosityFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER13,399 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning48
Utility69

0–100 skill scores via Leetify.

Recent form

COLD49456Last 10049%Win rateLWLLLWLWLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Aim3.9
Aggression4.6
Utility6.9
Positioning4.8
Opening Duels1.6
Clutch3.2

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 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 645ms 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

Aim3.9
Positioning4.8
Utility6.9
Mechanics5.9
Opening Duels1.6
Win Impact7.4

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time647ms+34ms
first ⅓ avg 613ms → last ⅓ avg 647ms
Headshot accuracy12.3%−0.6%
first ⅓ avg 12.9% → last ⅓ avg 12.3%

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

0.14Best rating — inferno 9–1
132Biggest win — inferno
9Longest win streak
57In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 11ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB24121250%0.03
dust2A22121055%-0.02
ancientC145936%-0.01
mirageB126650%-0.01
nukeA117464%-0.01
overpassC73443%-0.01
anubisB63350%-0.03
cache21150%-0.02
vertigo2020%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,726Lifetime kills
1.31K/D · Top 25% of Level 7 players
3,527Matches
49.4%Match win rate · Top 25% of Level 7 players
37.8%Headshot %
17.6%Shot accuracy · Top 25% of Level 7 players
9,303MVPs
1,489Hours (in match)
3,745Bombs planted
888Bombs defused

Most-used weapons

AK-4730,871
AWP3,693
P2503,593
FAMAS1,865
Tec-91,717

Lifetime map wins

8,020dust2
4,658inferno
3,298nuke
1,419train
917cbble
484vertigo
157dust
152aztec

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

Faceit stats

Combat

118Matches
48%Win rate
1.09Avg K/D
88.0ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1741%0.9715.3
Inferno1724%1.0716.0
Mirage1753%1.0917.6
Dust21533%0.9715.2
Anubis743%1.1316.7
Nuke667%1.4622.0
Train560%2.0521.4

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.

12.6%Headshot accuracy
34.0%Accuracy (enemy spotted)
39.8%Spray accuracy
76.6%Counter-strafing
15.1°Preaim
645msReaction time
32.7%T opening success
39.9%CT opening success
0.67Enemies flashed / flash
14.1%Flash assists
9.66HE damage / grenade
7.71Flashes / 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 15.1277° — 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 12.6223% — below the 15% 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0819%5 Jul
mirage13–90.0128%5 Jul
dust29–13-0.0238%5 Jul
inferno8–13-0.100%5 Jul
cache10–13-0.0014%19 Jun
cache13–7-0.039%9 May
ancient6–13-0.087%15 Mar
overpass13–110.0114%15 Mar
ancient5–13-0.0114%14 Mar
ancient13–16-0.0117%9 Mar
ancient5–130.007%23 Feb
dust213–70.0316%23 Feb
dust213–6-0.0113%22 Feb
inferno13–90.0614%22 Feb
anubis12–12-0.0613%21 Feb
overpass13–80.0419%21 Feb
inferno13–20.0412%21 Feb
dust22–13-0.0518%20 Feb
dust213–30.042%19 Feb
inferno7–130.0315%19 Feb
mirage11–13-0.0210%18 Feb
inferno13–60.055%18 Feb
mirage13–7-0.0013%17 Feb
inferno12–12-0.036%17 Feb
dust213–7-0.098%17 Feb
nuke13–40.059%17 Feb
ancient13–11-0.043%16 Feb
ancient13–5-0.067%15 Feb
nuke11–130.0214%15 Feb
dust213–60.0310%15 Feb
mirage13–100.0713%15 Feb
ancient9–13-0.0310%14 Feb
overpass13–70.0410%14 Feb
inferno7–13-0.0115%14 Feb
dust25–13-0.0312%14 Feb
vertigo10–13-0.0513%14 Feb
vertigo10–130.027%14 Feb
ancient6–130.0211%13 Feb
nuke8–13-0.0512%13 Feb
anubis13–16-0.065%12 Feb
ancient8–13-0.0115%12 Feb
mirage6–13-0.0113%12 Feb
dust210–130.0412%12 Feb
inferno13–80.0613%10 Feb
nuke9–13-0.0710%8 Feb
mirage11–13-0.0615%8 Feb
mirage13–11-0.0123%8 Feb
nuke13–6-0.0519%8 Feb
dust26–13-0.063%8 Feb
inferno11–130.0217%7 Feb
inferno13–60.027%7 Feb
nuke13–80.0410%7 Feb
dust213–6-0.068%7 Feb
dust213–60.0018%7 Feb
dust213–80.0111%7 Feb
dust213–5-0.0810%7 Feb
inferno13–30.0914%7 Feb
inferno9–40.0620%7 Feb
inferno9–10.1412%7 Feb
dust211–13-0.0616%5 Feb
inferno8–130.039%5 Feb
anubis7–13-0.0318%4 Feb
dust213–16-0.045%4 Feb
overpass5–13-0.0411%4 Feb
ancient16–13-0.031%3 Feb
nuke13–60.045%3 Feb
inferno15–15-0.028%1 Feb
overpass9–13-0.0511%1 Feb
dust213–9-0.0519%1 Feb
nuke13–6-0.0816%1 Feb
inferno13–70.0111%1 Feb
inferno13–70.037%31 Jan
mirage11–130.0317%31 Jan
overpass9–13-0.0213%31 Jan
mirage13–11-0.009%31 Jan
inferno9–130.0718%31 Jan
dust211–13-0.0324%31 Jan
ancient13–70.0611%31 Jan
nuke13–90.0114%31 Jan
anubis13–9-0.0219%30 Jan
dust213–100.0513%29 Jan
ancient15–150.069%29 Jan
inferno13–100.068%29 Jan
mirage13–7-0.0519%28 Jan
inferno9–130.0015%27 Jan
anubis16–120.0311%27 Jan
dust27–13-0.078%26 Jan
overpass8–13-0.0214%26 Jan
nuke13–50.0322%26 Jan
inferno13–40.0412%25 Jan
ancient16–140.0615%25 Jan
anubis13–7-0.0111%25 Jan
mirage9–13-0.0612%25 Jan
dust215–150.0511%25 Jan
inferno12–160.025%25 Jan
inferno5–9-0.017%24 Jan
ancient6–13-0.0411%24 Jan
mirage15–15-0.077%24 Jan
inferno13–16-0.0112%24 Jan
dust213–100.0017%24 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 →