Nais — CS2 Stats

76561197996516932[U:1:36251204]

1,303Tracked matches57%Win rate2020Tracked since
2,392Hours in CS26Hrs last 2 wks
CSDB Rating5.1 DevelopingPassive Rifler
Premier CS Rating22,879Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#11091 of 49113 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate43.5%44.0%44.7%1.2% short
Shot accuracy11.5%11.6%11.9%0.4% short
Kill/death ratio0.951.031.040.09 short
Match win rate45.9%45.1%45.2%meets

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNaisFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,879 · Pink bandcsdb.gg/stats

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Performance scores

Aim60
Positioning42
Utility42

0–100 skill scores via Leetify.

Recent form

HOT51445Last 10051%Win rateLLWLWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression3.6
Utility4.2
Positioning4.2
Opening Duels0.5
Clutch6.0

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 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 594ms 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

Aim6.0
Positioning4.2
Utility4.2
Mechanics5.9
Opening Duels1.2
Win Impact7.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time593ms−35ms
first ⅓ avg 628ms → last ⅓ avg 593ms
Headshot accuracy20.1%+0.2%
first ⅓ avg 19.9% → last ⅓ avg 20.1%

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

0.08Best rating — dust2 13–1
131Biggest win — dust2
6Longest win streak
L2Current streak
711In matches decided by ≤2 rounds
20Overtime games

Map breakdown

cacheBest map · 69% over 16infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
infernoC2281436%-0.02
nukeA1911858%-0.01
cacheS1611569%-0.01
ancientA148657%-0.01
mirageC135838%-0.01
dust2A127558%0.01
anubis41325%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,930Lifetime kills
0.95K/D
3,158Matches
45.9%Match win rate · Top 50% of Level 5 players
43.5%Headshot %
11.5%Shot accuracy
8,362MVPs
1,415Hours (in match)
4,130Bombs planted
1,590Bombs defused

Most-used weapons

AK-4716,945
AWP8,884
XM10141,718
P901,418
P2501,092

Lifetime map wins

7,522dust2
6,217inferno
6,166nuke
1,311train
393vertigo
78office
49cbble
32militia

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

Faceit stats

Combat

94Matches
53%Win rate
1.05Avg K/D
73.8ADR
41%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage956%1.1115.6
Inferno875%1.2417.4
Nuke560%1.0215.8
Ancient367%1.3717.0
Dust220%0.9014.5

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.

18.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.2%Spray accuracy
76.7%Counter-strafing
11.4°Preaim
594msReaction time
25.1%T opening success
39.2%CT opening success
0.47Enemies flashed / flash
6.1%Flash assists
8.46HE damage / grenade
5.32Flashes / 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 0.4743 — 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 25.1281% — below the 40% mark we flag

Spend your practice time on Inferno

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 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0118%27 Aug
inferno9–13-0.0222%27 Aug
nuke13–40.0026%27 Aug
mirage11–13-0.0813%26 Aug
dust213–90.0314%26 Aug
nuke13–20.0538%26 Aug
ancient16–13-0.016%26 Aug
inferno13–9-0.0523%26 Aug
nuke13–100.0618%25 Aug
mirage13–70.0223%25 Aug
inferno4–13-0.0215%25 Aug
ancient8–130.0119%25 Aug
dust24–13-0.095%25 Aug
inferno11–13-0.0436%24 Aug
dust216–120.028%23 Aug
mirage5–13-0.0716%23 Aug
dust213–40.0027%23 Aug
nuke9–13-0.0319%23 Aug
cache13–10-0.0718%23 Aug
mirage15–15-0.0417%22 Aug
dust28–130.0417%22 Aug
nuke13–80.0531%22 Aug
cache13–110.0211%21 Aug
nuke4–13-0.086%20 Aug
nuke13–9-0.0718%20 Aug
inferno13–3-0.0439%20 Aug
ancient13–60.019%20 Aug
dust213–11-0.0224%19 Aug
inferno15–150.0022%19 Aug
mirage8–130.0123%19 Aug
cache5–13-0.0331%18 Aug
ancient16–13-0.0223%18 Aug
dust213–70.0129%18 Aug
nuke13–6-0.0610%17 Aug
mirage13–40.0017%17 Aug
mirage8–13-0.0321%16 Aug
nuke9–13-0.0412%16 Aug
inferno13–4-0.0224%16 Aug
ancient13–6-0.0727%16 Aug
cache13–11-0.0226%16 Aug
nuke12–16-0.0022%16 Aug
inferno13–110.0520%16 Aug
ancient10–13-0.049%16 Aug
inferno15–15-0.0720%16 Aug
cache16–13-0.0219%15 Aug
mirage13–100.0513%15 Aug
ancient11–130.0120%15 Aug
nuke11–130.0223%25 Jul
inferno7–130.0121%25 Jul
mirage12–16-0.0019%24 Jul
ancient4–13-0.0613%24 Jul
mirage8–13-0.0417%24 Jul
cache13–60.0622%24 Jul
nuke13–7-0.0111%24 Jul
inferno16–14-0.0022%23 Jul
cache13–90.0233%23 Jul
mirage13–50.0119%23 Jul
nuke10–13-0.0319%23 Jul
anubis16–12-0.0016%23 Jul
mirage13–110.0123%22 Jul
cache10–13-0.0210%22 Jul
ancient7–13-0.026%22 Jul
nuke13–50.059%22 Jul
ancient13–9-0.0121%22 Jul
cache9–13-0.0223%21 Jul
ancient11–13-0.0020%21 Jul
dust211–13-0.0719%21 Jul
nuke12–16-0.0720%21 Jul
anubis3–13-0.0419%20 Jul
inferno13–100.0324%20 Jul
inferno11–13-0.0529%20 Jul
dust213–10.0830%20 Jul
cache13–20.0533%20 Jul
anubis7–13-0.100%19 Jul
inferno11–13-0.0333%19 Jul
inferno12–16-0.097%15 Jul
dust25–130.0637%15 Jul
nuke13–3-0.0418%14 Jul
dust29–130.0016%14 Jul
inferno15–15-0.0120%14 Jul
nuke13–40.0232%14 Jul
mirage9–13-0.0420%14 Jul
ancient13–80.0610%14 Jul
inferno11–13-0.0022%14 Jul
inferno8–13-0.035%14 Jul
cache16–12-0.0114%14 Jul
dust216–130.0420%13 Jul
inferno11–13-0.0714%13 Jul
cache8–13-0.0513%13 Jul
ancient16–12-0.0137%13 Jul
nuke13–7-0.0121%13 Jul
anubis15–15-0.0127%13 Jul
cache13–10-0.0522%13 Jul
cache16–130.0226%13 Jul
inferno13–6-0.0213%13 Jul
cache6–13-0.0610%12 Jul
inferno13–16-0.0319%12 Jul
ancient3–10.0013%12 Jul
cache13–5-0.0025%12 Jul
inferno13–50.017%12 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →