naive

naive — CS2 Stats

DK76561198269612297[U:1:309346569]Steam profile ↗✓ No bans

663Tracked matches56%Win rate2020Tracked since
1,173Hours in CS
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,473 -228 11 Jul – 13 Jul · 2 days played
17,47317,701peak 17,70111 Jul13 Jul
17,701Peak Premier in tracked matches
34Days played since 2025-06-27

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 Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.4%46.8%48.2%4.8% short
Shot accuracy11.6%13.0%13.2%1.6% short
Kill/death ratio1.051.061.070.02 short
Match win rate50.4%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnaiveFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning54
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateLWWWWLLLWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −3.7pp headshot accuracy · −85ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 744ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 691ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 733ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim4.4
Utility4.8
Positioning5.4
Opening Duels2.8
Clutch2.6

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 74% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 737ms 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

Aim4.4
Positioning5.4
Utility4.8
Mechanics7.9
Opening Duels1.9
Win Impact6.9

Composite 5.2/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time725ms+37ms
first ⅓ avg 688ms → last ⅓ avg 725ms
Headshot accuracy19.4%+2.2%
first ⅓ avg 17.2% → last ⅓ avg 19.4%

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

0.11Best match rating · 13–3 · cache, 5 Jul →
45%Best headshot accuracy · 0–11 · anubis, 19 Sept →
469msFastest reaction time · 13–8 · inferno, 29 Jul →
13–1Biggest win · golden, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 77% over 13trainWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS1310–377%-0.00
nukeA127–558%0.01
overpassB115–645%-0.02
anubisD113–827%-0.04
ancientC104–640%0.00
trainD71–614%-0.01
mirageD72–529%-0.01
grailB63–350%-0.06
juraA53–260%-0.00
palacio—43–175%-0.02
golden—41–325%-0.04
vertigo—41–325%-0.01
cache—21–150%0.04
agency—21–150%-0.02
alpine—11–0100%-0.02
dust2—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

51,858Lifetime kills
1.05K/D
2,546Matches
50.4%Match win rate · Top 25% of Level 8 players
43.4%Headshot %
11.6%Shot accuracy
6,463MVPs
1,173Hours (in match)
4,313Bombs planted
681Bombs defused

Most-used weapons

Lifetime map wins

6,193inferno
3,391vertigo
1,873nuke
1,097dust2
984train
519office
86cbble
65lake

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

Faceit stats

Combat

566Matches
51%Win rate
1.02Avg K/D
75.5ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
29%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.8713.0
Nuke3100%1.3219.7
Inferno2100%1.0413.5
Overpass250%0.9412.5
Ancient20%0.609.0
Anubis10%0.3810.0

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.

18.5%Headshot accuracy
30.4%Accuracy (enemy spotted)
30.9%Spray accuracy
85.4%Counter-strafing
11.2°Preaim
737msReaction time
35.9%T opening success
39.3%CT opening success
0.56Enemies flashed / flash
6.8%Flash assists
10.40HE damage / grenade
8.53Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 736.5888ms — above the 700ms 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 35.9279% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0312%5 Jul →
cache13–30.1125%5 Jul →
alpine13–8-0.0213%29 Jan →
inferno13–4-0.007%11 Dec →
palacio13–50.0219%21 Nov →
train4–13-0.0118%16 Nov →
overpass12–16-0.0314%30 Oct →
ancient7–130.0517%30 Oct →
overpass13–40.0118%27 Oct →
overpass9–130.0213%26 Oct →
mirage2–13-0.0315%26 Oct →
nuke13–30.0429%25 Oct →
inferno13–8-0.0420%25 Oct →
train12–120.0320%24 Oct →
golden9–13-0.0623%24 Oct →
vertigo13–80.0319%24 Oct →
nuke13–10-0.0723%23 Oct →
golden13–10.0118%9 Oct →
golden12–12-0.0413%9 Oct →
palacio13–7-0.0613%9 Oct →
palacio13–6-0.0519%9 Oct →
golden8–13-0.069%6 Oct →
palacio10–130.0213%6 Oct →
nuke12–120.0121%19 Sept →
anubis0–11-0.0845%19 Sept →
mirage13–10.0022%19 Sept →
nuke7–130.0332%19 Sept →
inferno13–70.0112%19 Sept →
overpass16–14-0.0623%5 Aug →
inferno0–13-0.0829%5 Aug →
inferno16–140.0118%4 Aug →
inferno8–13-0.0422%4 Aug →
inferno13–80.0629%4 Aug →
overpass5–13-0.0417%4 Aug →
inferno13–60.0715%4 Aug →
overpass11–13-0.0113%4 Aug →
ancient7–13-0.0320%4 Aug →
inferno13–80.0124%29 Jul →
nuke6–13-0.0017%29 Jul →
mirage7–130.0025%29 Jul →
anubis10–13-0.0625%29 Jul →
vertigo8–13-0.069%25 Jul →
inferno13–6-0.0024%25 Jul →
nuke5–13-0.0128%25 Jul →
train8–13-0.0219%25 Jul →
jura12–120.0214%25 Jul →
jura13–4-0.0114%24 Jul →
nuke13–100.0227%24 Jul →
nuke13–80.0515%24 Jul →
overpass13–5-0.0116%24 Jul →
grail5–13-0.0711%24 Jul →
anubis9–13-0.0827%24 Jul →
grail13–5-0.1113%24 Jul →
jura13–100.0113%24 Jul →
anubis12–120.0225%24 Jul →
nuke13–10-0.0325%23 Jul →
inferno13–80.0122%21 Jul →
anubis8–13-0.094%21 Jul →
overpass13–5-0.0114%21 Jul →
ancient4–13-0.0114%21 Jul →
mirage9–13-0.008%21 Jul →
grail13–6-0.0216%21 Jul →
ancient7–13-0.0215%15 Jul →
anubis13–80.0122%15 Jul →
vertigo3–6-0.0133%15 Jul →
anubis14–16-0.0618%13 Jul →
mirage13–110.0518%12 Jul →
jura13–10-0.0124%11 Jul →
anubis13–8-0.0317%11 Jul →
ancient13–11-0.0612%11 Jul →
dust213–4-0.046%11 Jul →
nuke13–6-0.0022%11 Jul →
nuke11–130.0116%11 Jul →
mirage2–13-0.074%9 Jul →
train5–13-0.0320%9 Jul →
vertigo9–13-0.0114%8 Jul →
anubis13–100.0637%8 Jul →
ancient13–1-0.0117%8 Jul →
grail3–13-0.1221%7 Jul →
overpass13–80.0118%7 Jul →
train12–12-0.0610%7 Jul →
agency10–13-0.0022%4 Jul →
nuke13–100.0223%4 Jul →
train13–20.0018%4 Jul →
overpass11–13-0.0416%3 Jul →
overpass6–13-0.0314%3 Jul →
ancient13–5-0.039%3 Jul →
grail7–13-0.0424%3 Jul →
ancient10–130.0016%2 Jul →
grail13–5-0.0224%30 Jun →
inferno13–50.0916%30 Jun →
ancient12–120.0513%30 Jun →
agency13–11-0.0420%29 Jun →
mirage4–13-0.0320%29 Jun →
anubis1–13-0.047%29 Jun →
ancient13–90.0515%27 Jun →
anubis5–13-0.0622%27 Jun →
jura7–13-0.0318%27 Jun →
inferno2–13-0.0921%27 Jun →
train12–120.0210%27 Jun →

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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