Tasky

Tasky — CS2 Stats

KZ76561198809622409[U:1:849356681]Steam profile ↗✓ No bans

1,094Tracked matches34%Win rate2023Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating8,646Light Blue band · top ~61.4% of ranked players (population est.)
FaceitLevel 3 · 814 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 8,646 -1,475 3 Sept – 26 Oct · 34 days played
8,25512,891peak 12,8913 Sept26 Oct
Faceit ELO: 814 +0 3 Sept – 17 Sept · 2 observations
814814peak 8143 Sept17 Sept
12,891Peak Premier in tracked matches
814Highest Faceit ELO seen on CSDB
37Days played since 2026-09-03

Faceit ELO

  • At peak — 814
  • Next: Level 4 at 901 — 87 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-03
  • Level 2 first seen 2026-09-03

Premier CS Rating

  • 4,245 below peak (12,891)
  • -4,245 over 30 days · declining
  • Next: Blue band at 10,000 — 1,354 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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.GGTaskyFACEITLevel 3 · 814 ELOSTANDINGTop 90.6% of rankedPREMIER8,646 · Light Blue bandPEAK ELO814csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim43
Positioning51
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateLLLWWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.3pp headshot accuracy · +66ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 694ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 652ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 619ms

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 (+2.3 against its own average).

Aim4.3
Utility3.8
Positioning5.1
Opening Duels1.2
Clutch1.0

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.3
Positioning5.1
Utility3.8
Mechanics4.4
Opening Duels2.5
Win Impact0.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time598ms+44ms
first ⅓ avg 554ms → last ⅓ avg 598ms
Headshot accuracy12.8%−0.0%
first ⅓ avg 12.9% → last ⅓ avg 12.8%

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

0.09Best match rating · 13–9 · dust2, 14 Oct →
33%Best headshot accuracy · 8–13 · dust2, 14 Oct →
367msFastest reaction time · 10–13 · anubis, 12 Sept →
13–0Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
9–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 69% over 16ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C188–1044%-0.04
nukeS1611–569%0.01
infernoC156–940%-0.01
mirageD134–931%-0.05
cacheB126–650%-0.01
ancientD122–1017%-0.03
anubisD72–529%-0.04
vertigoD62–433%0.01
rush_001—10–10%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

38Matches
42%Win rate
0.81Avg K/D
72.7ADR
36%Headshot %

Clutches & streaks

25%1v1 clutch win
35%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage922%0.519.3
Dust2838%0.8213.1
Inferno771%1.1114.6
Ancient540%0.7011.4
Cache30%0.274.0
Nuke367%1.0915.3
Overpass10%0.8814.0
Anubis1100%1.4619.0

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.

12.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
36.7%Spray accuracy
69.8%Counter-strafing
12.0°Preaim
598msReaction time
42.8%T opening success
37.5%CT opening success
0.32Enemies flashed / flash
2.3%Flash assists
8.25HE damage / grenade
4.41Flashes / 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 12.8143% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3172 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.4862% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.048%26 Oct →
mirage3–13-0.0812%24 Oct →
mirage6–13-0.0512%23 Oct →
nuke13–40.0023%23 Oct →
vertigo13–90.028%23 Oct →
vertigo1–130.0313%23 Oct →
inferno13–70.078%22 Oct →
dust213–4-0.0530%20 Oct →
vertigo7–13-0.0220%19 Oct →
cache4–13-0.055%17 Oct →
mirage16–13-0.044%17 Oct →
inferno14–16-0.0218%16 Oct →
ancient9–130.0314%16 Oct →
ancient7–13-0.119%16 Oct →
nuke13–40.0723%15 Oct →
cache4–13-0.055%15 Oct →
nuke8–13-0.0411%15 Oct →
mirage11–7-0.0411%15 Oct →
ancient10–13-0.0511%15 Oct →
anubis9–13-0.0210%15 Oct →
anubis6–13-0.066%15 Oct →
nuke15–150.057%14 Oct →
dust28–13-0.0733%14 Oct →
dust213–90.0914%14 Oct →
mirage7–13-0.016%14 Oct →
nuke13–40.0617%14 Oct →
anubis13–8-0.0212%14 Oct →
ancient6–13-0.028%14 Oct →
nuke7–13-0.0115%13 Oct →
dust26–13-0.0416%13 Oct →
dust22–13-0.098%13 Oct →
cache13–30.0612%12 Oct →
ancient11–13-0.0513%12 Oct →
dust29–13-0.0816%10 Oct →
mirage7–13-0.066%10 Oct →
nuke13–7-0.0515%9 Oct →
cache13–50.0422%9 Oct →
anubis13–16-0.0615%9 Oct →
inferno15–15-0.0121%9 Oct →
mirage9–13-0.0614%9 Oct →
nuke13–00.0712%9 Oct →
cache4–13-0.0623%6 Oct →
inferno13–7-0.048%6 Oct →
dust216–14-0.057%6 Oct →
dust28–13-0.049%6 Oct →
cache11–13-0.048%5 Oct →
mirage16–13-0.0212%5 Oct →
mirage13–11-0.0221%5 Oct →
dust213–11-0.0514%4 Oct →
nuke6–13-0.0219%4 Oct →
nuke13–40.024%4 Oct →
dust210–13-0.0310%3 Oct →
nuke13–10-0.017%3 Oct →
vertigo11–130.0412%2 Oct →
cache9–130.0013%1 Oct →
rush_0013–70.087%1 Oct →
dust24–13-0.1312%1 Oct →
inferno16–14-0.0615%30 Sept →
inferno5–13-0.0110%30 Sept →
nuke13–11-0.0016%30 Sept →
inferno5–13-0.0918%29 Sept →
ancient9–130.0115%29 Sept →
dust23–13-0.0121%28 Sept →
inferno9–13-0.024%28 Sept →
ancient9–13-0.029%28 Sept →
anubis11–13-0.0514%28 Sept →
inferno9–50.0720%26 Sept →
inferno7–90.059%26 Sept →
inferno13–70.038%25 Sept →
vertigo0–13-0.0322%24 Sept →
vertigo13–50.027%24 Sept →
dust213–16-0.0211%23 Sept →
nuke13–11-0.0414%22 Sept →
anubis13–9-0.079%22 Sept →
inferno11–13-0.039%22 Sept →
cache13–11-0.056%21 Sept →
dust213–9-0.0210%21 Sept →
mirage5–13-0.0428%20 Sept →
ancient13–11-0.0513%20 Sept →
ancient15–15-0.064%20 Sept →
dust213–7-0.0411%19 Sept →
nuke13–10-0.0213%19 Sept →
dust213–8-0.0121%19 Sept →
cache13–11-0.0014%18 Sept →
dust213–10-0.0225%18 Sept →
nuke13–100.0415%18 Sept →
cache12–16-0.0112%18 Sept →
nuke12–16-0.0421%18 Sept →
inferno3–9-0.0712%17 Sept →
ancient14–16-0.0811%16 Sept →
mirage8–13-0.054%13 Sept →
ancient6–130.0010%13 Sept →
cache13–10.0423%13 Sept →
ancient13–50.0415%13 Sept →
cache16–12-0.018%12 Sept →
dust28–13-0.006%12 Sept →
inferno13–10-0.0015%12 Sept →
anubis10–13-0.039%12 Sept →
mirage10–13-0.0912%11 Sept →
inferno7–13-0.0419%11 Sept →

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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