Taki

Taki — CS2 Stats

76561198799434991[U:1:839169263]Steam profile ↗✓ No bans

830Tracked matches45%Win rate2023Tracked since
1,254Hours in CS23Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating9,955Light Blue band · top ~55.1% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+58Premier CS Rating · 9,897 → 9,955
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. 33 days played since 3 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,955 -144 3 Aug18 Sept · 27 days played
9,89713,485peak 13,4853 Aug18 Sept
14,090Peak Premier in tracked matches
33Days played since 2026-08-03

Premier CS Rating

  • 3,530 below peak (13,485)
  • -3,530 over 30 days · declining
  • Next: Blue band at 10,000 45 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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 Light Blue band among CSDB-tracked players (n=8,059), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate34.2%39.9%41.9%7.7% short
Shot accuracy3.7%6.8%9.6%5.9% short
Kill/death ratio0.860.910.980.11 short
Match win rate38.6%42.3%43.8%5.2% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGTakiPREMIER9,955 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning41
Utility48

0–100 skill scores via Leetify.

Recent form

COLD43525Last 10043%Win rateWLTLWLLLLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −0.9pp headshot accuracy · −51ms 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

  • 221 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 603ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 645ms

Last 20

  • 5141 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 671ms

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 (+1.8 against its own average).

Aim4.5
Utility4.8
Positioning4.1
Opening Duels0.0

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 76% 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. 651ms 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

Aim4.5
Positioning4.1
Utility4.8
Mechanics4.3
Opening Duels0.0
Win Impact3.3

Composite 3.5/10 (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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time655ms+43ms
first ⅓ avg 612ms → last ⅓ avg 655ms
Headshot accuracy15.2%+0.6%
first ⅓ avg 14.6% → last ⅓ avg 15.2%

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

0.07Best match rating · 7–13 · nuke, 9 Aug
33%Best headshot accuracy · 9–5 · inferno, 11 Sept
422msFastest reaction time · 9–5 · inferno, 11 Sept
13–0Biggest win · train, 28 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
27In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 71% over 7infernoWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
mirageD2481633%-0.03
infernoD1741324%-0.07
ancientB168850%-0.04
cacheC104640%-0.02
trainC94544%-0.04
anubisA85363%-0.04
officeS75271%-0.03
dust2C52340%-0.03
nuke21150%-0.00
vertigo110100%-0.03
overpass110100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,500Lifetime kills
0.86K/D
2,456Matches
38.6%Match win rate
34.2%Headshot %
3.7%Shot accuracy
4,878MVPs
680Hours (in match)
2,286Bombs planted
740Bombs defused

Most-used weapons

Lifetime map wins

4,245inferno
4,020dust2
667nuke
416vertigo
226train
189office
89italy
35cbble

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

Skill profile

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

13.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.0%Spray accuracy
69.6%Counter-strafing
11.0°Preaim
651msReaction time
30.1%T opening success
25.2%CT opening success
0.66Enemies flashed / flash
6.4%Flash assists
5.73HE damage / grenade
12.00Flashes / 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 13.4903% — 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 30.123% — 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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–6-0.0020%18 Sept
cache9–13-0.0213%18 Sept
ancient15–150.0117%18 Sept
inferno5–9-0.088%18 Sept
office13–80.0115%18 Sept
mirage7–13-0.059%17 Sept
mirage9–13-0.0816%17 Sept
mirage6–13-0.0317%15 Sept
ancient9–13-0.0517%15 Sept
anubis1–13-0.0611%15 Sept
mirage10–13-0.0724%15 Sept
office8–12-0.060%14 Sept
office13–7-0.0810%13 Sept
office5–2-0.0129%13 Sept
inferno10–13-0.0415%13 Sept
inferno3–9-0.2314%13 Sept
ancient13–3-0.0415%13 Sept
mirage6–130.029%13 Sept
inferno6–90.0120%12 Sept
inferno7–9-0.1214%12 Sept
office2–13-0.0518%11 Sept
inferno5–9-0.1225%11 Sept
inferno9–5-0.1233%11 Sept
cache11–13-0.0314%10 Sept
anubis13–11-0.0413%10 Sept
ancient13–30.0018%10 Sept
inferno13–4-0.0415%7 Sept
office13–4-0.017%3 Sept
dust211–13-0.0415%1 Sept
cache3–13-0.035%1 Sept
vertigo13–5-0.0322%31 Aug
overpass13–3-0.0613%31 Aug
train13–8-0.0411%31 Aug
mirage10–130.0411%31 Aug
train11–13-0.032%28 Aug
train13–00.0115%28 Aug
train13–70.0010%28 Aug
inferno9–5-0.0422%28 Aug
inferno3–9-0.0918%28 Aug
anubis4–13-0.0818%28 Aug
train7–13-0.078%27 Aug
train12–12-0.093%27 Aug
train12–12-0.047%27 Aug
train13–4-0.0210%27 Aug
train12–12-0.0518%25 Aug
mirage7–130.0326%25 Aug
ancient6–13-0.0517%24 Aug
ancient6–13-0.0714%22 Aug
anubis10–13-0.0614%22 Aug
mirage8–13-0.0618%22 Aug
anubis13–10-0.0212%22 Aug
dust21–13-0.063%22 Aug
inferno6–13-0.0710%22 Aug
inferno13–9-0.0229%22 Aug
cache13–100.0114%22 Aug
ancient13–9-0.0318%21 Aug
cache13–9-0.029%21 Aug
ancient7–13-0.0211%21 Aug
mirage5–13-0.0810%20 Aug
mirage7–13-0.0912%19 Aug
mirage13–80.0014%19 Aug
inferno11–13-0.0323%18 Aug
anubis13–30.0218%18 Aug
mirage13–2-0.0624%18 Aug
mirage13–6-0.0424%17 Aug
ancient13–3-0.0712%17 Aug
inferno8–13-0.0114%15 Aug
mirage10–13-0.0416%15 Aug
anubis13–11-0.0416%15 Aug
dust28–13-0.0412%15 Aug
ancient11–13-0.0517%15 Aug
ancient13–9-0.0515%15 Aug
cache13–00.0326%14 Aug
mirage13–3-0.039%14 Aug
cache9–13-0.0413%14 Aug
inferno15–15-0.009%14 Aug
ancient16–13-0.0017%14 Aug
mirage13–100.0218%13 Aug
ancient10–13-0.0719%12 Aug
cache9–130.0112%12 Aug
ancient13–10-0.0716%10 Aug
dust216–130.0116%10 Aug
mirage13–5-0.0511%10 Aug
ancient13–9-0.0915%10 Aug
cache13–8-0.0513%10 Aug
mirage8–130.0110%10 Aug
nuke13–9-0.0710%10 Aug
anubis13–0-0.0315%9 Aug
cache11–13-0.0216%9 Aug
nuke7–130.0714%9 Aug
ancient4–130.0321%9 Aug
dust213–9-0.0412%8 Aug
mirage9–13-0.0421%6 Aug
mirage10–13-0.0211%5 Aug
mirage11–10.038%4 Aug
inferno9–13-0.0610%4 Aug
inferno8–13-0.0524%4 Aug
mirage13–40.0215%4 Aug
mirage10–13-0.0616%3 Aug
mirage5–13-0.049%3 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 →