Tokile

Tokile — CS2 Stats

DE76561198014790670[U:1:54524942]Steam profile ↗✓ No bans

434Tracked matches53%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating12,029Blue band · top ~44.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+222Premier CS Rating · 11,807 → 12,029

Rating over time

Premier CS Rating: 12,029 +497 17 Sept – 11 Oct · 15 days played
8,49412,876peak 12,87617 Sept11 Oct
13,142Peak Premier in tracked matches
22Days played since 2026-09-17

Premier CS Rating

  • 847 below peak (12,876)
  • +497 over 30 days · improving
  • Next: Purple band at 15,000 — 2,971 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.

Share this profile

CSDB.GGTokilePREMIER12,029 · Blue bandcsdb.gg/stats

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Performance scores

Aim87
Positioning68
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateWLWLLLWWWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.4pp headshot accuracy · −20ms 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 -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 553ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

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 (+2.6 against its own average).

Aim8.7
Utility5.8
Positioning6.8
Opening Duels4.4
Clutch0.0

Sharp aimer

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 96% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

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

Aim8.7
Positioning6.8
Utility5.8
Mechanics7.2
Opening Duels6.0
Win Impact6.1

Composite 6.8/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time557ms−42ms
first ⅓ avg 599ms → last ⅓ avg 557ms
Headshot accuracy22.4%−1.3%
first ⅓ avg 23.7% → last ⅓ avg 22.4%

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 · 4–0 · dust2, 27 Sept →
57%Best headshot accuracy · 4–0 · dust2, 27 Sept →
375msFastest reaction time · 11–13 · dust2, 6 Oct →
13–3Biggest win · ancient, 11 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 63% over 8mirageWeakest map · 36% over 25
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%0.02
dust2C219–1243%0.03
infernoC166–1038%0.01
cacheC145–936%0.02
nukeC104–640%0.02
anubisA85–363%0.02
ancient—43–175%0.05
vertigo—22–0100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

74Matches
58%Win rate
1.27Avg K/D
98.8ADR
45%Headshot %

Clutches & streaks

17%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%1.4322.0
Dust21100%1.2520.0
Inferno1100%2.8317.0

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.

22.6%Headshot accuracy
38.2%Accuracy (enemy spotted)
36.1%Spray accuracy
82.4%Counter-strafing
7.9°Preaim
543msReaction time
57.9%T opening success
50.3%CT opening success
0.66Enemies flashed / flash
7.4%Flash assists
12.51HE damage / grenade
6.70Flashes / match

Recommended for you

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.

36% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–6-0.017%11 Oct →
dust211–13-0.0321%11 Oct →
ancient13–30.0623%11 Oct →
inferno6–13-0.0115%10 Oct →
dust20–8-0.0633%10 Oct →
inferno10–13-0.0233%9 Oct →
anubis16–14-0.0518%8 Oct →
cache13–40.0416%8 Oct →
ancient13–30.0816%7 Oct →
ancient13–60.1118%7 Oct →
nuke13–3-0.0021%7 Oct →
anubis13–90.0129%7 Oct →
anubis13–100.0615%7 Oct →
nuke6–13-0.0118%7 Oct →
dust213–11-0.0222%7 Oct →
anubis3–13-0.0118%7 Oct →
nuke13–80.0427%7 Oct →
mirage13–30.0331%7 Oct →
dust213–70.1042%7 Oct →
mirage5–13-0.0118%7 Oct →
inferno13–40.1120%7 Oct →
inferno13–100.0238%7 Oct →
anubis11–13-0.0217%6 Oct →
dust28–130.0521%6 Oct →
dust211–13-0.0325%6 Oct →
dust213–110.1133%6 Oct →
cache6–130.0514%6 Oct →
nuke10–13-0.0329%6 Oct →
cache1–9-0.057%6 Oct →
ancient6–13-0.0424%6 Oct →
anubis5–130.0724%5 Oct →
mirage8–130.0336%5 Oct →
inferno9–13-0.019%5 Oct →
mirage14–160.0518%5 Oct →
mirage9–13-0.0016%4 Oct →
cache2–13-0.0316%4 Oct →
mirage13–110.0220%4 Oct →
nuke8–13-0.0125%4 Oct →
cache13–70.1224%4 Oct →
cache9–130.0228%4 Oct →
mirage8–130.0420%4 Oct →
cache4–130.0545%4 Oct →
mirage5–130.0121%4 Oct →
anubis13–30.0311%4 Oct →
dust216–120.0323%3 Oct →
inferno10–130.0114%3 Oct →
cache5–130.0037%3 Oct →
nuke16–13-0.0114%3 Oct →
dust213–30.0617%3 Oct →
dust22–13-0.0128%3 Oct →
mirage4–30.0133%3 Oct →
mirage1–13-0.0728%3 Oct →
inferno13–5-0.0522%3 Oct →
inferno1–13-0.0332%3 Oct →
dust25–130.0824%2 Oct →
mirage13–90.0124%1 Oct →
cache4–13-0.0737%1 Oct →
mirage13–50.1532%1 Oct →
mirage13–80.0214%1 Oct →
mirage7–130.0412%30 Sept →
cache13–30.0615%30 Sept →
mirage13–110.0720%30 Sept →
nuke11–130.0920%30 Sept →
nuke5–130.0342%30 Sept →
anubis13–60.0223%30 Sept →
dust26–13-0.0022%30 Sept →
mirage7–130.0739%30 Sept →
inferno13–110.0718%30 Sept →
inferno9–130.0410%30 Sept →
mirage15–150.0525%30 Sept →
dust23–130.0316%30 Sept →
cache0–10-0.0018%30 Sept →
inferno8–130.0124%30 Sept →
mirage7–130.1015%29 Sept →
nuke13–60.0835%29 Sept →
dust24–13-0.0326%29 Sept →
inferno6–130.0229%28 Sept →
dust24–00.2757%27 Sept →
dust29–130.0731%27 Sept →
inferno16–130.0131%25 Sept →
dust27–13-0.0219%25 Sept →
mirage14–16-0.0129%23 Sept →
cache13–60.0014%23 Sept →
vertigo13–8-0.0441%23 Sept →
vertigo13–8-0.0421%23 Sept →
mirage13–90.0124%21 Sept →
mirage13–11-0.0214%21 Sept →
cache13–11-0.0213%21 Sept →
dust213–40.0724%20 Sept →
dust23–13-0.0528%20 Sept →
cache2–130.0423%19 Sept →
mirage6–130.0212%19 Sept →
inferno13–110.0818%19 Sept →
inferno4–130.0038%19 Sept →
inferno3–8-0.0431%18 Sept →
mirage10–130.0016%18 Sept →
mirage5–130.0320%18 Sept →
nuke11–13-0.0123%17 Sept →
dust213–90.0521%17 Sept →
mirage11–13-0.0419%17 Sept →

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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