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πš‚π™Έπ™» β€” CS2 Stats

KR76561198325291941[U:1:365026213]Steam profile β†—βœ“ No bans

611Tracked matches57%Win rate2025Tracked since
1,000Hours in CS1Hrs last 2 wks
CSDB Rating4.1 Developing
FaceitLevel 2 Β· 687 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=1,073), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate39.1%40.9%41.8%2.6% short
Shot accuracy0.0%12.5%11.9%11.9% short
Kill/death ratio0.640.950.970.33 short
Match win rate38.2%42.4%43.5%5.3% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGπš‚π™Έπ™»FACEITLevel 2 Β· 687 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning31
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateLWWWLLWLLW

Last 10 vs previous 10: -20pp win rate Β· -0.02 avg rating

Player DNA

Aim4.6
Aggression4.3
Utility4.0
Positioning3.1
Opening Duels0.4
Clutch3.8

Style profile from tracked-match aggregates β€” 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 72% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Reaction time. 672ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.6
Positioning3.1
Utility4.0
Mechanics7.8
Opening Duels0.8
Win Impact7.2

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03βˆ’0.02
first β…“ avg -0.01 β†’ last β…“ avg -0.03
Reaction time669ms+12ms
first β…“ avg 657ms β†’ last β…“ avg 669ms
Headshot accuracy12.2%βˆ’0.5%
first β…“ avg 12.7% β†’ last β…“ avg 12.2%

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

0.09Best rating β€” dust2 13–9
13–0Biggest win β€” dust2
5Longest win streak
6–8In matches decided by ≀2 rounds
11Overtime games

Map breakdown

infernoBest map Β· 75% over 16mirageWeakest map Β· 28% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A2816–1257%0.00
mirageD185–1328%-0.03
infernoS1612–475%-0.02
ancientA148–657%-0.01
overpassB105–550%-0.02
nukeS86–275%-0.03
trainβ€”43–175%-0.02
anubisβ€”22–0100%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,190Lifetime kills
0.64K/D
1,619Matches
38.2%Match win rate
39.1%Headshot %
0.0%Shot accuracy
1,797MVPs
587Hours (in match)
780Bombs planted
175Bombs defused

Most-used weapons

Lifetime map wins

4,680dust2
1,816inferno
688nuke
556train
122vertigo
52office
11italy
2ar_shoots

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

Faceit stats

Combat

79Matches
42%Win rate
0.82Avg K/D
72.6ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2241%0.7813.7
Dust21631%0.7812.4
Ancient1443%0.8614.5
Overpass956%0.9414.7
Inferno933%0.7512.1
Nuke850%0.7512.1
Train1100%1.6710.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.0%Headshot accuracy
30.8%Accuracy (enemy spotted)
30.7%Spray accuracy
85.3%Counter-strafing
10.0Β°Preaim
672msReaction time
27.0%T opening success
36.1%CT opening success
0.50Enemies flashed / flash
6.5%Flash assists
7.39HE damage / grenade
4.16Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads β€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0488% β€” below the 15% mark we flag

    Aim Training β†’
  2. 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 0.4974 β€” below the 0.5 mark we flag

    Grenade Lineups β†’
  3. 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 27.0151% β€” below the 40% mark we flag

Spend your practice time on Mirage

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

28% win rate across 18 tracked games β€” your weakest map with enough games to be worth reading into.

Mirage callouts & strategy β†’Mirage grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0815%19 Feb β†’
dust213–90.007%19 Feb β†’
ancient13–6-0.0313%19 Feb β†’
dust213–4-0.036%19 Feb β†’
overpass9–130.029%3 Feb β†’
overpass7–13-0.016%1 Feb β†’
anubis13–9-0.0715%1 Feb β†’
nuke10–13-0.0311%1 Feb β†’
ancient14–16-0.0514%1 Feb β†’
ancient13–8-0.0213%1 Feb β†’
mirage16–14-0.0516%31 Jan β†’
dust26–13-0.0028%29 Jan β†’
mirage13–80.0013%27 Jan β†’
mirage13–50.048%26 Jan β†’
dust213–60.0820%24 Jan β†’
mirage8–13-0.0510%24 Jan β†’
dust211–13-0.0618%24 Jan β†’
nuke13–6-0.055%20 Jan β†’
inferno13–8-0.005%20 Jan β†’
ancient13–7-0.0517%20 Jan β†’
overpass5–13-0.0413%20 Jan β†’
dust213–5-0.059%20 Jan β†’
mirage8–13-0.0024%20 Jan β†’
ancient11–13-0.0510%10 Jan β†’
nuke13–5-0.087%10 Jan β†’
overpass13–3-0.0422%10 Jan β†’
nuke13–9-0.117%7 Jan β†’
mirage11–13-0.0613%7 Jan β†’
inferno5–13-0.060%7 Jan β†’
ancient13–11-0.006%7 Jan β†’
dust213–00.098%7 Jan β†’
dust28–13-0.0219%7 Jan β†’
mirage14–16-0.0417%2 Jan β†’
train13–9-0.0518%2 Jan β†’
nuke13–40.0016%2 Jan β†’
inferno13–20.029%2 Jan β†’
dust213–9-0.0311%2 Jan β†’
dust213–5-0.0215%1 Jan β†’
ancient9–13-0.0121%28 Dec β†’
inferno13–9-0.055%28 Dec β†’
inferno13–9-0.0433%28 Dec β†’
dust25–13-0.0415%28 Dec β†’
mirage12–12-0.0710%28 Dec β†’
ancient16–12-0.0114%23 Dec β†’
inferno13–100.0223%23 Dec β†’
mirage9–13-0.047%20 Dec β†’
train4–13-0.1124%20 Dec β†’
inferno13–50.0710%20 Dec β†’
inferno13–4-0.0411%20 Dec β†’
nuke15–15-0.038%19 Dec β†’
train13–110.0514%18 Dec β†’
overpass13–10-0.0014%18 Dec β†’
dust29–13-0.0310%18 Dec β†’
overpass15–15-0.037%18 Dec β†’
ancient7–00.0728%18 Dec β†’
mirage11–13-0.0112%18 Dec β†’
nuke13–70.0212%18 Dec β†’
ancient13–110.087%18 Dec β†’
mirage5–13-0.049%17 Dec β†’
inferno11–13-0.0513%14 Dec β†’
mirage13–6-0.0013%14 Dec β†’
dust213–60.0610%14 Dec β†’
ancient5–13-0.0412%13 Dec β†’
dust213–10-0.0011%12 Dec β†’
ancient16–14-0.0512%12 Dec β†’
dust213–60.0417%12 Dec β†’
anubis13–4-0.0810%12 Dec β†’
dust23–13-0.0126%12 Dec β†’
overpass13–70.005%11 Dec β†’
dust28–13-0.0216%11 Dec β†’
dust23–13-0.0510%10 Dec β†’
ancient7–130.0612%10 Dec β†’
dust215–150.0012%10 Dec β†’
mirage13–30.018%10 Dec β†’
mirage9–13-0.038%9 Dec β†’
overpass4–13-0.0819%9 Dec β†’
dust212–120.0015%9 Dec β†’
dust21–13-0.0126%8 Dec β†’
dust213–80.0113%8 Dec β†’
train13–90.0313%7 Dec β†’
mirage5–13-0.0715%7 Dec β†’
inferno13–8-0.0211%7 Dec β†’
nuke16–130.0513%6 Dec β†’
inferno13–100.0313%6 Dec β†’
ancient7–13-0.1012%5 Dec β†’
dust211–13-0.038%5 Dec β†’
overpass13–30.008%5 Dec β†’
inferno13–8-0.002%2 Dec β†’
mirage1–13-0.0011%1 Dec β†’
inferno8–13-0.055%1 Dec β†’
dust213–11-0.0311%1 Dec β†’
dust28–20.024%1 Dec β†’
mirage5–13-0.0317%1 Dec β†’
dust213–90.0911%1 Dec β†’
dust213–4-0.0015%29 Nov β†’
overpass16–12-0.0226%29 Nov β†’
inferno13–9-0.0210%29 Nov β†’
mirage15–15-0.0716%27 Nov β†’
inferno13–10-0.0213%25 Nov β†’
dust213–10.0315%25 Nov β†’

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’