taoska

taoska — CS2 Stats

FI76561199763559175[U:1:1803293447]Steam profile ↗✓ No bans

653Tracked matches43%Win rate2025Tracked since
800Hours in CS46Hrs last 2 wks
CSDB Rating3.9 LearningSupport
Premier CS Rating10,803Blue band · top ~50.6% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 18 days played since 30 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,803 +1,734 30 Aug19 Sept · 15 days played
9,06913,378peak 13,37830 Aug19 Sept
13,739Peak Premier in tracked matches
18Days played since 2026-08-30

Premier CS Rating

  • 2,575 below peak (13,378)
  • Next: Purple band at 15,000 4,197 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=20,242), 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 rate33.0%41.9%44.3%11.3% short
Shot accuracy0.0%9.6%11.8%11.8% short
Kill/death ratio0.820.981.030.21 short
Match win rate44.3%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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.

Share this profile

CSDB.GGtaoskaPREMIER10,803 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning48
Utility59

0–100 skill scores via Leetify.

Recent form

COLD54415Last 10054%Win rateLLLLLWLLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.8pp headshot accuracy · +121ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 05 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 7%
  • Avg reaction 634ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 693ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 633ms

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: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim4.2
Utility5.9
Positioning4.8
Opening Duels3.2
Clutch3.2

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

jL

Plays most like jL 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning4.8
Utility5.9
Mechanics2.8
Opening Duels3.0
Win Impact2.8

Composite 3.9/10 (Learning), 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 rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time612ms−8ms
first ⅓ avg 619ms → last ⅓ avg 612ms
Headshot accuracy9.5%+0.2%
first ⅓ avg 9.4% → last ⅓ avg 9.5%

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

0.25Best match rating · 9–1 · inferno, 4 Sept
24%Best headshot accuracy · 7–9 · inferno, 4 Sept
445msFastest reaction time · 10–13 · dust2, 1 Sept
13–2Biggest win · cache, 11 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
142In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 73% over 15nukeWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB26131350%-0.02
ancientS1511473%0.01
nukeD1551033%-0.02
dust2S139469%-0.02
mirageB136746%-0.03
anubisB126650%-0.02
cacheS64267%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,239Lifetime kills
0.82K/D
1,024Matches
44.3%Match win rate · Top 50% of Blue band
33.0%Headshot %
0.0%Shot accuracy
2,298MVPs
358Hours (in match)
861Bombs planted
178Bombs defused

Most-used weapons

Lifetime map wins

2,758inferno
1,236nuke
944dust2
157vertigo
19train
7italy
4ar_shoots
3office

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

Faceit stats

Combat

45Matches
40%Win rate
0.93Avg K/D
74.4ADR
30%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%1.0313.2
Dust21020%0.9415.2
Inferno757%0.9513.7
Ancient650%0.9610.3
Anubis540%0.549.6
Nuke560%1.1013.0
Overpass10%0.7911.0
Cache10%0.8511.0

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.

9.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
39.9%Spray accuracy
62.6%Counter-strafing
11.2°Preaim
599msReaction time
41.1%T opening success
43.3%CT opening success
0.58Enemies flashed / flash
7.6%Flash assists
15.14HE damage / grenade
5.97Flashes / 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 9.6729% — below the 15% mark we flag

    Aim Training
Spend your practice time on Nuke

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.034%19 Sept
inferno8–13-0.034%19 Sept
cache4–130.0119%19 Sept
anubis5–13-0.084%19 Sept
inferno3–9-0.245%19 Sept
cache13–3-0.0215%17 Sept
dust27–13-0.040%17 Sept
mirage10–13-0.0012%17 Sept
inferno13–110.1412%16 Sept
ancient13–50.0711%15 Sept
anubis8–13-0.0110%13 Sept
anubis13–160.013%13 Sept
inferno4–130.0010%13 Sept
ancient13–40.0515%13 Sept
anubis13–6-0.094%12 Sept
dust21–13-0.044%12 Sept
cache13–110.0813%12 Sept
ancient13–70.0314%12 Sept
nuke5–13-0.079%12 Sept
mirage4–13-0.0312%11 Sept
dust213–7-0.0011%11 Sept
cache13–20.2015%11 Sept
dust213–2-0.049%10 Sept
nuke9–13-0.048%10 Sept
ancient16–140.0112%10 Sept
ancient13–100.0311%10 Sept
anubis6–13-0.026%10 Sept
inferno8–8-0.0717%10 Sept
anubis13–11-0.0217%9 Sept
inferno7–13-0.076%9 Sept
inferno13–16-0.086%9 Sept
dust29–13-0.0312%9 Sept
nuke13–2-0.026%9 Sept
mirage9–13-0.0213%9 Sept
ancient13–11-0.055%9 Sept
inferno13–2-0.025%8 Sept
nuke13–20.058%8 Sept
mirage13–9-0.045%8 Sept
ancient13–2-0.0220%8 Sept
dust213–7-0.0312%8 Sept
inferno9–5-0.0311%7 Sept
nuke3–130.008%6 Sept
nuke2–13-0.0313%6 Sept
inferno8–8-0.0113%6 Sept
inferno13–100.0316%6 Sept
anubis13–110.0915%6 Sept
nuke6–9-0.104%4 Sept
nuke9–6-0.0214%4 Sept
inferno3–9-0.2217%4 Sept
inferno13–11-0.024%4 Sept
ancient13–10-0.008%4 Sept
cache14–16-0.047%4 Sept
inferno7–90.0024%4 Sept
dust213–110.003%4 Sept
mirage13–8-0.0110%4 Sept
inferno9–10.2513%4 Sept
inferno8–8-0.153%4 Sept
nuke9–20.0414%4 Sept
nuke13–50.017%3 Sept
anubis15–15-0.078%3 Sept
nuke8–130.014%3 Sept
dust213–100.058%3 Sept
anubis13–11-0.039%3 Sept
ancient13–110.014%3 Sept
inferno13–8-0.0115%3 Sept
inferno13–90.0112%2 Sept
mirage2–8-0.127%2 Sept
nuke2–13-0.058%2 Sept
inferno9–60.059%2 Sept
mirage15–15-0.0311%2 Sept
anubis2–13-0.0511%2 Sept
mirage10–5-0.084%2 Sept
inferno9–30.199%2 Sept
mirage7–13-0.027%1 Sept
ancient13–16-0.073%1 Sept
dust210–13-0.0311%1 Sept
mirage8–13-0.019%1 Sept
inferno10–13-0.0913%1 Sept
ancient6–13-0.029%1 Sept
dust213–9-0.0110%1 Sept
nuke8–13-0.0115%1 Sept
anubis13–70.020%1 Sept
dust210–6-0.0113%1 Sept
ancient13–90.0511%1 Sept
dust213–11-0.0923%1 Sept
inferno9–7-0.0910%1 Sept
nuke6–9-0.055%31 Aug
nuke5–90.0210%31 Aug
mirage16–14-0.0314%31 Aug
cache13–11-0.058%31 Aug
ancient13–60.008%31 Aug
anubis13–80.076%31 Aug
inferno4–9-0.1212%31 Aug
dust213–6-0.0316%30 Aug
ancient9–130.0113%30 Aug
mirage13–40.019%30 Aug
ancient2–13-0.012%30 Aug
inferno9–6-0.005%30 Aug
inferno13–50.0313%30 Aug
mirage13–10-0.015%30 Aug

Match data via Leetify.

Recent teammates

Milestones

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