tyrsky1

tyrsky1 — CS2 Stats

76561198956610337[U:1:996344609]Steam profile ↗✓ No bans

424Tracked matches41%Win rate2021Tracked since
CSDB Rating3.9 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGtyrsky1FACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim37
Positioning45
Utility49

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLLLLLTLWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +2.6pp headshot accuracy · +63ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 781ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 756ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 724ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim3.7
Utility4.9
Positioning4.5
Opening Duels1.4

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 70% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 689ms 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

Aim3.7
Positioning4.5
Utility4.9
Mechanics6.3
Opening Duels0.0
Win Impact2.1

Composite 3.9/10 (Learning), 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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time677ms+49ms
first ⅓ avg 628ms → last ⅓ avg 677ms
Headshot accuracy13.8%+1.4%
first ⅓ avg 12.4% → last ⅓ avg 13.8%

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

0.27Best match rating · 9–1 · vertigo, 17 Feb →
40%Best headshot accuracy · 13–5 · vertigo, 31 Dec →
469msFastest reaction time · 7–13 · inferno, 10 Sept →
13–0Biggest win · ancient, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
8–3In matches decided by ≤2 rounds
20Overtime games

Map breakdown

ancientBest map · 64% over 14mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2712–1544%-0.03
vertigoB147–750%-0.02
ancientA149–564%-0.02
nukeC135–838%-0.06
overpassA127–558%-0.03
anubisD93–633%-0.02
mirageD82–625%-0.04
dust2—20–20%-0.02
train—10–10%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.0%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.8%Spray accuracy
78.4%Counter-strafing
14.1°Preaim
689msReaction time
16.5%T opening success
29.1%CT opening success
0.35Enemies flashed / flash
2.3%Flash assists
9.28HE damage / grenade
5.02Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.0607° — above the 12° mark we flag

    Aim Training →
  2. 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 14.0181% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3499 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo4–9-0.1611%13 Sept →
dust25–80.0224%30 Aug →
overpass1–13-0.0621%29 Aug →
train6–13-0.088%29 Aug →
nuke9–13-0.0919%29 Aug →
ancient12–12-0.078%29 Aug →
inferno9–13-0.0515%29 Aug →
anubis13–11-0.0519%29 Aug →
mirage3–13-0.104%29 Aug →
dust21–13-0.0628%3 Jul →
inferno5–9-0.0520%1 Jul →
nuke9–40.0033%8 Jun →
vertigo9–5-0.037%8 Jun →
overpass9–5-0.015%8 Jun →
anubis2–13-0.080%11 May →
vertigo3–9-0.123%2 May →
inferno9–13-0.0023%2 Sept →
nuke11–130.0611%2 Sept →
inferno9–4-0.0718%28 Aug →
nuke6–9-0.139%28 Aug →
inferno6–9-0.1723%28 Aug →
overpass9–7-0.0225%28 Aug →
ancient13–4-0.067%24 Aug →
ancient7–13-0.046%12 Aug →
inferno13–20.0513%12 Aug →
vertigo6–90.0414%17 Feb →
inferno9–50.1012%17 Feb →
overpass0–9-0.1923%17 Feb →
overpass9–70.0120%17 Feb →
vertigo9–2-0.026%17 Feb →
overpass8–8-0.0412%17 Feb →
vertigo9–60.072%17 Feb →
inferno9–20.009%17 Feb →
nuke9–5-0.1816%17 Feb →
vertigo9–10.2712%17 Feb →
overpass9–6-0.033%17 Feb →
inferno9–60.0223%17 Feb →
vertigo8–8-0.074%17 Feb →
inferno9–6-0.0317%17 Feb →
vertigo13–50.0640%31 Dec →
overpass13–110.114%28 Sept →
vertigo16–12-0.0312%28 Sept →
anubis13–40.1519%28 Sept →
inferno3–13-0.118%28 Sept →
nuke11–13-0.0212%28 Sept →
ancient13–00.0733%28 Sept →
inferno4–13-0.0210%28 Sept →
mirage10–130.019%26 Sept →
ancient16–12-0.0210%26 Sept →
overpass13–50.0320%26 Sept →
ancient9–30.0327%26 Sept →
inferno13–10-0.0012%25 Sept →
anubis10–13-0.037%25 Sept →
overpass7–130.029%25 Sept →
anubis8–13-0.0913%25 Sept →
anubis13–40.017%25 Sept →
mirage10–13-0.0314%25 Sept →
nuke1–00.000%25 Sept →
anubis6–13-0.0511%24 Sept →
inferno3–8-0.0713%24 Sept →
inferno9–3-0.0422%24 Sept →
overpass6–13-0.0717%10 Sept →
ancient13–11-0.039%10 Sept →
inferno7–13-0.0532%10 Sept →
inferno7–13-0.068%10 Sept →
inferno15–15-0.026%9 Sept →
mirage10–13-0.0710%9 Sept →
nuke13–11-0.0910%9 Sept →
ancient13–80.0221%9 Sept →
mirage4–13-0.083%9 Sept →
inferno13–60.0221%8 Sept →
inferno11–13-0.078%8 Sept →
anubis7–130.0315%8 Sept →
vertigo13–5-0.1128%7 Sept →
inferno9–13-0.036%7 Sept →
mirage13–5-0.017%4 Sept →
overpass13–7-0.0612%4 Sept →
mirage13–30.0820%3 Sept →
mirage1–13-0.1017%3 Sept →
inferno13–70.0411%2 Sept →
nuke6–13-0.0911%2 Sept →
ancient13–10-0.0116%2 Sept →
nuke4–13-0.0519%2 Sept →
nuke11–16-0.107%28 Jul →
nuke16–4-0.056%28 Jul →
ancient16–7-0.056%28 Jul →
inferno13–16-0.038%28 Jul →
ancient13–16-0.019%22 Jul →
ancient16–13-0.007%22 Jul →
inferno13–16-0.0322%22 Jul →
vertigo9–16-0.083%18 Jul →
ancient12–16-0.0010%18 Jul →
inferno14–12-0.0410%18 Jul →
nuke9–16-0.0823%18 Jul →
anubis7–16-0.1013%17 Jul →
vertigo6–16-0.067%17 Jul →
inferno13–16-0.0314%17 Jul →
ancient15–15-0.0513%17 Jul →
vertigo12–16-0.048%1 Jul →
inferno16–8-0.0318%1 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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