tayren

tayren — CS2 Stats

NL76561198843463164[U:1:883197436]Steam profile ↗✓ No bans

1,473Tracked matches53%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,168 → 2,168
+9Tracked matches · now 1,473
+10.0ppWin rate · 43.3% → 53.3%

Rating over time

Premier CS Rating: 25,923 +1,349 13 May – 5 Jul · 20 days played
24,06426,323peak 26,32313 May5 Jul
26,590Peak Premier in tracked matches
2,168Highest Faceit ELO seen on CSDB
30Days played since 2026-05-13

Faceit ELO

  • At peak — 2,168
  • Next: 2,500 ELO at 2,500 — 332 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGtayrenPEAK ELO2,168csdb.gg/stats

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Performance scores

Aim59
Positioning57
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWWWWLWLL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −0.8pp headshot accuracy · −29ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 623ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 637ms

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 (+2 against its own average).

Aim5.9
Utility3.1
Positioning5.7
Opening Duels3.4
Clutch2.6

Limited utility dependence

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 47% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 654ms 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

Aim5.9
Positioning5.7
Utility3.1
Mechanics6.7
Opening Duels2.1
Win Impact6.1

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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time641ms+15ms
first ⅓ avg 627ms → last ⅓ avg 641ms
Headshot accuracy16.5%−2.1%
first ⅓ avg 18.6% → last ⅓ avg 16.5%

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.

Personal bests

0.32Best match rating · 9–1 · inferno, 5 Jul →
50%Best headshot accuracy · 0–13 · cache, 11 Jul →
453msFastest reaction time · 13–6 · mirage, 19 Sept →
13–0Biggest win · mirage, 18 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 56% over 25anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.01
infernoB2110–1148%0.04
nukeB199–1047%-0.03
ancientC135–838%-0.00
anubisC114–736%-0.01
cacheB63–350%0.02
overpass—32–167%-0.07
dust2—21–150%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

775Matches
53%Win rate
0.95Avg K/D
71.2ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3168%0.9313.3
Dust22040%0.7812.4
Ancient1963%0.9015.6
Anubis1638%0.9015.3
Nuke1369%0.9214.5
Inferno862%0.8613.9
Vertigo475%0.9815.5
Overpass30%0.7215.3

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.

18.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.5%Spray accuracy
80.1%Counter-strafing
10.3°Preaim
654msReaction time
20.1%T opening success
47.2%CT opening success
0.32Enemies flashed / flash
5.4%Flash assists
8.62HE damage / grenade
3.07Flashes / 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 0.3152 — 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 20.1131% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0135%26 Sept →
ancient7–13-0.0326%26 Sept →
cache13–7-0.0123%19 Sept →
mirage13–6-0.0312%19 Sept →
nuke13–40.0119%6 Sept →
ancient13–60.0114%6 Sept →
nuke4–9-0.1711%17 Jul →
inferno9–7-0.0410%17 Jul →
inferno6–90.0123%16 Jul →
nuke7–9-0.116%16 Jul →
ancient2–13-0.0410%12 Jul →
cache16–130.0113%12 Jul →
inferno6–9-0.033%12 Jul →
inferno9–30.1925%12 Jul →
dust211–130.0113%11 Jul →
inferno9–30.0824%11 Jul →
cache0–13-0.0650%11 Jul →
inferno6–13-0.0616%11 Jul →
mirage13–110.0215%10 Jul →
overpass1–9-0.2718%5 Jul →
nuke2–9-0.2315%5 Jul →
anubis8–130.0216%5 Jul →
inferno9–40.1919%5 Jul →
nuke8–8-0.038%5 Jul →
inferno6–9-0.068%5 Jul →
inferno9–70.1422%5 Jul →
nuke1–9-0.2511%5 Jul →
inferno7–9-0.0111%5 Jul →
inferno9–10.3219%5 Jul →
inferno9–30.093%4 Jul →
nuke8–80.0215%4 Jul →
nuke4–9-0.0311%4 Jul →
inferno2–9-0.1219%4 Jul →
cache11–130.0514%4 Jul →
inferno3–9-0.1624%4 Jul →
cache1–13-0.0224%4 Jul →
mirage13–60.048%1 Jul →
ancient11–13-0.0224%24 Jun →
nuke13–40.0525%20 Jun →
cache13–40.1521%20 Jun →
ancient9–13-0.0120%14 Jun →
mirage13–60.0315%14 Jun →
mirage7–13-0.0017%13 Jun →
nuke7–9-0.063%13 Jun →
mirage11–130.0210%12 Jun →
nuke13–110.0429%12 Jun →
nuke13–90.0121%12 Jun →
ancient13–70.0414%11 Jun →
mirage13–110.078%11 Jun →
inferno13–90.059%7 Jun →
mirage10–13-0.0015%7 Jun →
inferno6–130.1522%7 Jun →
mirage4–13-0.1012%7 Jun →
ancient13–60.1018%7 Jun →
ancient6–13-0.0223%7 Jun →
mirage13–50.043%7 Jun →
anubis3–13-0.0613%7 Jun →
anubis3–130.0216%6 Jun →
ancient13–8-0.018%6 Jun →
nuke2–13-0.0019%6 Jun →
mirage13–10-0.0312%6 Jun →
ancient0–13-0.0229%31 May →
mirage13–90.0518%31 May →
inferno13–10.0517%31 May →
inferno7–130.0519%31 May →
ancient5–13-0.0321%31 May →
mirage6–130.0313%31 May →
nuke13–110.0819%31 May →
overpass13–70.0913%30 May →
inferno13–160.0221%30 May →
anubis5–13-0.0114%30 May →
anubis13–10.0928%30 May →
anubis1–13-0.1019%30 May →
overpass13–8-0.0224%29 May →
inferno15–150.0324%29 May →
nuke13–40.0815%29 May →
nuke13–90.0114%29 May →
mirage13–10.1112%29 May →
anubis13–90.0212%29 May →
mirage13–60.0113%29 May →
ancient6–130.0123%29 May →
mirage13–90.0129%28 May →
mirage13–100.0321%28 May →
ancient13–90.0118%28 May →
mirage7–13-0.0115%23 May →
mirage10–13-0.029%23 May →
mirage5–13-0.0530%21 May →
anubis7–130.0223%21 May →
dust213–100.0115%21 May →
nuke13–10-0.0125%21 May →
mirage6–13-0.069%19 May →
anubis13–11-0.0436%19 May →
mirage13–2-0.0112%18 May →
anubis13–1-0.0217%18 May →
inferno13–70.0120%18 May →
mirage13–00.1318%18 May →
mirage14–16-0.0310%17 May →
anubis8–130.0022%16 May →
mirage7–13-0.0514%16 May →
nuke11–130.0322%13 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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