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myth — CS2 Stats

76561199565499877[U:1:1605234149]

1,705Tracked matches46%Win rate2025Tracked since
1,925Hours in CS1Hrs last 2 wks
CSDB Rating4.4 Developing
Premier CS Rating10,878Blue band · top ~50.2% of ranked players (population est.)
CSDB Leaderboard#28319 of 39990 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.5%41.4%44.2%2.7% short
Shot accuracy0.0%9.0%11.6%11.6% short
Kill/death ratio0.690.971.030.34 short
Match win rate40.0%43.7%45.2%5.2% short

This profile sits below the typical Purple band player on every metric we can compare.

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

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CSDB.GGmythPREMIER10,878 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLLLLWWLTL

Last 10 vs previous 10: -50pp win rate · -0.06 avg rating

Player DNA

Aim5.1
Aggression4.4
Utility5.0
Positioning4.5
Opening Duels1.2
Clutch3.6

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 639ms 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

Aim5.1
Positioning4.5
Utility5.0
Mechanics6.6
Opening Duels1.2
Win Impact3.8

Composite 4.4/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time637ms+11ms
first ⅓ avg 626ms → last ⅓ avg 637ms
Headshot accuracy12.3%−2.1%
first ⅓ avg 14.4% → 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

0.22Best rating — inferno 9–4
13–1Biggest win — mirage
7Longest win streak
L5Current streak
7–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 72% over 18ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%-0.01
mirageS1813–572%0.01
infernoS139–469%0.02
nukeC135–838%-0.03
cacheC104–640%-0.01
ancientD82–625%0.02
anubisA74–357%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,334Lifetime kills
0.69K/D
2,069Matches
40.0%Match win rate
41.5%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
2,722MVPs
1,156Hours (in match)
1,943Bombs planted
335Bombs defused

Most-used weapons

AK-4710,335
M4A4 / M4A1-S5,980
AWP2,567
P2000 / USP-S1,725
Desert Eagle1,462
Glock-181,046
Galil AR877
MAC-10587
MP9576
XM1014447

Lifetime map wins

3,147dust2
3,022nuke
2,706inferno
689train
385vertigo
82office
23italy
5ar_shoots

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

Faceit stats

Combat

91Matches
51%Win rate
0.88Avg K/D
70.0ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2955%0.9513.2
Dust21644%0.8813.3
Nuke1258%0.9613.0
Inferno967%0.8212.0
Anubis650%0.7211.3
Ancient633%0.8312.8
Cache633%0.9916.3
Overpass450%0.7712.3

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.

12.0%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.3%Spray accuracy
79.6%Counter-strafing
11.0°Preaim
639msReaction time
33.9%T opening success
35.8%CT opening success
0.57Enemies flashed / flash
1.6%Flash assists
5.18HE damage / grenade
8.57Flashes / 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 Crosshair

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

    Headshot accuracy 12.0016% — below the 15% 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 33.9361% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0224%14 Aug →
mirage10–13-0.0415%14 Aug →
ancient3–13-0.055%8 Aug →
dust28–13-0.0416%8 Aug →
anubis11–130.0512%8 Aug →
inferno13–11-0.045%7 Aug →
nuke13–30.037%7 Aug →
ancient14–16-0.056%7 Aug →
ancient12–120.0119%7 Aug →
inferno10–13-0.0310%31 Jul →
dust28–13-0.0218%31 Jul →
mirage13–80.0414%31 Jul →
mirage13–20.0011%30 Jul →
dust215–15-0.0115%29 Jul →
dust24–13-0.063%29 Jul →
inferno13–40.0224%28 Jul →
inferno9–20.2011%28 Jul →
inferno9–40.2220%28 Jul →
dust213–90.0021%28 Jul →
mirage13–100.048%27 Jul →
inferno13–10-0.0211%27 Jul →
nuke8–13-0.1010%27 Jul →
inferno13–60.0221%27 Jul →
dust29–13-0.067%26 Jul →
dust26–13-0.0314%25 Jul →
dust213–9-0.0212%25 Jul →
dust213–110.0213%23 Jul →
nuke11–13-0.035%23 Jul →
anubis13–11-0.0013%23 Jul →
dust22–13-0.0210%23 Jul →
ancient13–50.0811%23 Jul →
nuke14–16-0.035%23 Jul →
mirage13–90.0310%22 Jul →
dust213–10-0.0117%22 Jul →
mirage13–9-0.0112%22 Jul →
anubis11–130.018%22 Jul →
mirage13–70.0613%22 Jul →
dust28–130.0118%21 Jul →
cache13–30.0314%21 Jul →
inferno7–130.0415%21 Jul →
dust24–13-0.0342%21 Jul →
anubis13–100.1118%21 Jul →
cache11–13-0.0414%21 Jul →
dust213–9-0.0213%21 Jul →
ancient11–130.0315%20 Jul →
mirage13–50.0812%20 Jul →
dust216–120.0216%20 Jul →
ancient6–130.0513%20 Jul →
dust22–13-0.0424%16 Jul →
mirage13–50.0616%16 Jul →
inferno13–4-0.0110%16 Jul →
nuke13–80.0220%15 Jul →
nuke13–110.036%15 Jul →
anubis13–3-0.0114%15 Jul →
dust213–80.037%15 Jul →
dust213–40.0712%15 Jul →
dust28–13-0.028%14 Jul →
nuke13–80.0216%14 Jul →
cache13–30.009%14 Jul →
dust29–13-0.0815%14 Jul →
inferno13–11-0.059%14 Jul →
mirage12–16-0.0412%14 Jul →
nuke8–13-0.0511%13 Jul →
nuke6–13-0.1013%13 Jul →
dust28–13-0.055%13 Jul →
mirage11–130.0111%13 Jul →
dust27–13-0.057%13 Jul →
nuke7–13-0.1114%13 Jul →
cache7–130.0113%13 Jul →
nuke13–11-0.0211%12 Jul →
anubis13–7-0.019%12 Jul →
dust24–130.034%12 Jul →
dust21–13-0.074%12 Jul →
cache13–50.005%12 Jul →
cache3–13-0.0324%12 Jul →
dust28–13-0.067%10 Jul →
mirage13–10.0115%10 Jul →
mirage13–6-0.0112%10 Jul →
dust213–50.0221%10 Jul →
mirage13–1-0.047%10 Jul →
cache10–130.0115%9 Jul →
ancient14–160.027%9 Jul →
cache13–7-0.0620%9 Jul →
mirage4–13-0.1010%9 Jul →
inferno16–13-0.0114%9 Jul →
nuke13–16-0.0318%9 Jul →
dust213–9-0.0610%9 Jul →
nuke11–13-0.0511%9 Jul →
cache5–13-0.0317%9 Jul →
dust213–30.0716%9 Jul →
ancient13–80.0920%9 Jul →
dust25–10.1960%9 Jul →
cache6–13-0.0226%9 Jul →
dust213–40.066%8 Jul →
mirage13–110.1513%7 Jul →
inferno7–13-0.0926%6 Jul →
dust212–16-0.088%6 Jul →
anubis9–13-0.0117%6 Jul →
mirage16–13-0.036%5 Jul →
mirage10–13-0.046%5 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 →

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