Tayden

Tayden — CS2 Stats

US76561198847133379[U:1:886867651]Steam profile ↗✓ No bans

553Tracked matches43%Win rate2024Tracked since
509Hours in CS0Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating18,257Purple band · top ~15.4% of ranked players (population est.)
CSDB Leaderboard#18548 of 38043 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate35.7%42.7%44.0%8.3% short
Shot accuracy1.5%10.8%11.6%10.2% short
Kill/death ratio0.761.001.030.27 short
Match win rate45.7%44.1%45.1%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTaydenFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,257 · Purple bandcsdb.gg/stats

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Performance scores

Aim46
Positioning51
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY59338Last 10059%Win rateLWTWWLLWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim4.6
Aggression5.6
Utility2.9
Positioning5.1
Opening Duels1.4
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.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 616ms 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

Aim4.6
Positioning5.1
Utility2.9
Mechanics5.9
Opening Duels1.4
Win Impact2.6

Composite 4.1/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time618ms−33ms
first ⅓ avg 651ms → last ⅓ avg 618ms
Headshot accuracy10.5%+0.7%
first ⅓ avg 9.8% → last ⅓ avg 10.5%

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

0.10Best rating — mirage 13–10
131Biggest win — train
12Longest win streak
92In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 81% over 16infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB168850%-0.02
dust2S1613381%-0.04
ancientA148657%-0.02
nukeA138562%-0.02
anubisA95456%-0.04
cacheA74357%-0.02
infernoC73443%-0.00
vertigoA74357%-0.02
office31233%-0.04
train21150%-0.02
boulder21150%0.01
debris110100%0.09
fachwerk1010%-0.04
shelter110100%0.06
poseidon110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,890Lifetime kills
0.76K/D
762Matches
45.7%Match win rate · Top 50% of Level 4 players
35.7%Headshot %
1.5%Shot accuracy
963MVPs
254Hours (in match)
860Bombs planted
142Bombs defused

Most-used weapons

Lifetime map wins

1,396dust2
938nuke
629inferno
398train
238vertigo
95office
3ar_baggage
2ar_monastery

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

Faceit stats

Combat

14Matches
29%Win rate
0.86Avg K/D
70.5ADR
28%Headshot %

Clutches & streaks

33%1v1 clutch win
16%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%1.1513.5
Inferno2100%0.746.5
Dust2250%0.8212.5
Ancient20%0.6813.5
Nuke20%0.7513.5
Anubis10%0.6210.0
Cache10%0.8823.0

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.

11.1%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.9%Spray accuracy
76.7%Counter-strafing
11.4°Preaim
616msReaction time
37.3%T opening success
34.0%CT opening success
0.50Enemies flashed / flash
2.3%Flash assists
4.62HE damage / grenade
5.11Flashes / 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 11.1387% — 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 37.3317% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache2–13-0.170%26 Aug
mirage13–5-0.0317%15 Aug
nuke15–15-0.049%15 Aug
ancient13–3-0.0013%12 Aug
train13–10.0125%12 Aug
train8–13-0.063%12 Aug
inferno10–130.0112%11 Aug
inferno13–5-0.019%11 Aug
dust213–5-0.0511%11 Aug
ancient7–13-0.0313%8 Aug
dust26–13-0.055%8 Aug
ancient13–100.027%8 Aug
nuke7–13-0.0616%6 Aug
mirage13–100.108%6 Aug
vertigo11–130.0432%5 Aug
vertigo0–13-0.0414%5 Aug
ancient5–13-0.029%5 Aug
dust213–7-0.069%5 Aug
mirage6–13-0.056%4 Aug
ancient10–13-0.095%4 Aug
dust213–11-0.0210%3 Aug
anubis8–13-0.059%3 Aug
mirage9–13-0.048%2 Aug
inferno15–15-0.0112%1 Aug
mirage4–13-0.0311%30 Jul
nuke16–130.029%30 Jul
cache3–13-0.0314%30 Jul
mirage13–4-0.0119%30 Jul
vertigo13–90.0213%29 Jul
vertigo4–13-0.096%29 Jul
dust27–13-0.047%29 Jul
ancient13–8-0.038%29 Jul
anubis2–0-0.030%28 Jul
dust216–140.0119%28 Jul
mirage13–8-0.0010%28 Jul
ancient5–13-0.065%28 Jul
nuke13–100.0119%26 Jul
vertigo13–5-0.026%26 Jul
mirage12–12-0.0322%26 Jul
anubis13–3-0.024%26 Jul
ancient11–13-0.066%26 Jul
dust213–60.0113%26 Jul
mirage13–6-0.0110%22 Jul
anubis13–20.006%22 Jul
anubis7–13-0.136%22 Jul
ancient13–5-0.0110%14 Jul
cache13–7-0.0518%14 Jul
cache9–13-0.0223%12 Jul
nuke13–30.0321%12 Jul
nuke13–8-0.0235%12 Jul
nuke4–13-0.0531%12 Jul
mirage15–15-0.0213%11 Jul
ancient13–2-0.0214%11 Jul
nuke9–13-0.089%11 Jul
anubis10–13-0.016%10 Jul
inferno12–12-0.040%10 Jul
boulder13–70.049%10 Jul
nuke13–9-0.0421%10 Jul
office13–8-0.0816%9 Jul
office12–12-0.036%9 Jul
office5–13-0.0320%9 Jul
nuke13–60.0615%9 Jul
debris9–10.0923%9 Jul
dust213–20.0219%9 Jul
fachwerk10–13-0.047%9 Jul
shelter13–110.064%9 Jul
boulder12–12-0.0213%8 Jul
dust213–10-0.0312%7 Jul
ancient13–10-0.055%7 Jul
dust213–3-0.0610%7 Jul
mirage13–10-0.0113%5 Jul
ancient6–130.0014%5 Jul
mirage16–14-0.0221%5 Jul
mirage12–12-0.037%2 Jul
mirage4–130.009%28 Jun
inferno16–13-0.015%28 Jun
mirage8–130.0015%28 Jun
inferno13–60.0717%27 Jun
mirage13–9-0.077%27 Jun
nuke5–13-0.047%27 Jun
dust213–11-0.0614%27 Jun
dust216–13-0.0612%27 Jun
cache13–30.0820%24 Jun
dust213–7-0.058%24 Jun
dust213–11-0.0616%16 Jun
anubis4–13-0.110%14 Jun
dust210–13-0.059%14 Jun
inferno9–13-0.0413%10 Jun
poseidon9–2-0.0115%3 Jun
vertigo13–100.006%3 Jun
vertigo13–4-0.047%3 Jun
ancient13–6-0.012%29 May
nuke13–3-0.027%28 May
anubis13–100.016%28 May
anubis13–8-0.046%27 May
ancient13–40.056%27 May
cache13–11-0.0515%23 May
nuke13–7-0.050%23 May
dust213–11-0.0310%20 May
cache9–30.0812%20 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →