tanuki!

tanuki! — CS2 Stats

76561198349140475[U:1:388874747]Steam profile ↗✓ No bans

340Tracked matches54%Win rate2020Tracked since
1,730Hours in CS
CSDB Rating5.6 SolidSupport
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 63 days played since 17 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,679 +4,581 17 Jun27 Jun · 24 days played
9,09814,964peak 14,96417 Jun27 Jun
14,964Peak Premier in tracked matches
1,050Highest Faceit ELO seen on CSDB
63Days played since 2025-06-17

Faceit ELO

  • At peak — 1,050
  • Next: Level 5 at 1,051 1 to go
  • Reached: Level 4 · Level 3 · Level 2

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

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CSDB.GGtanuki!PEAK ELO1,050csdb.gg/stats

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Performance scores

Aim73
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY56386Last 10056%Win rateTWWLLLWWWL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +1.0pp headshot accuracy · −40ms 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 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 639ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 646ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 666ms

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 against its own average).

Aim7.3
Utility5.7
Positioning5.2
Opening Duels4.1
Clutch3.8

Strong CT-side opener

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 90% 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

T-side openings. Opening success drops from 56% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim7.3
Positioning5.2
Utility5.7
Mechanics7.9
Opening Duels3.5
Win Impact6.2

Composite 5.6/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time667ms−63ms
first ⅓ avg 729ms → last ⅓ avg 667ms
Headshot accuracy27.7%+2.8%
first ⅓ avg 24.9% → last ⅓ avg 27.7%

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

0.16Best match rating · 13–6 · mirage, 2 Sept
50%Best headshot accuracy · 6–0 · mirage, 22 May
234msFastest reaction time · 0–13 · dust2, 19 Jun
13–1Biggest win · mirage, 20 Jun

Across the last 100 tracked matches.

Highlights

9Longest win streak
65In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 73% over 15infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA43261760%0.02
dust2B29131645%-0.00
ancientS1511473%0.03
infernoC52340%-0.02
nuke31233%0.06
train21150%0.02
anubis110100%-0.06
cache110100%0.04
overpass1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,441Lifetime kills
0.95K/D
3,715Matches
40.0%Match win rate
42.8%Headshot %
13.1%Shot accuracy · Top 50% of tracked players
10,193MVPs
1,730Hours (in match)
3,273Bombs planted
1,009Bombs defused

Most-used weapons

AK-4720,224
AWP11,614
SSG 082,415
FAMAS1,759
P2501,610

Lifetime map wins

2,879dust2
1,536inferno
455nuke
284vertigo
138train
34cbble
22lake
15office

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

Faceit stats

Combat

88Matches
48%Win rate
0.97Avg K/D
78.8ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3964%1.1515.5
Ancient1050%0.8413.3
Anubis729%1.0617.1
Nuke50%0.9113.4
Dust2540%0.9313.8
Inferno425%0.628.3
Vertigo367%1.0310.0
Train1100%1.4124.0

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.

27.4%Headshot accuracy
29.2%Accuracy (enemy spotted)
32.4%Spray accuracy
85.3%Counter-strafing
8.0°Preaim
661msReaction time
31.8%T opening success
56.1%CT opening success
0.68Enemies flashed / flash
7.8%Flash assists
10.19HE damage / grenade
8.01Flashes / 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

    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 31.7584% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–120.0433%3 Sept
mirage13–60.1623%2 Sept
ancient13–6-0.0032%19 Aug
dust211–13-0.0725%19 Aug
ancient10–130.0323%1 Aug
mirage5–13-0.0015%25 Jul
dust216–140.0130%25 Jul
mirage16–140.0337%17 Jul
mirage13–6-0.0228%27 Jun
dust211–130.0432%27 Jun
mirage13–30.0326%31 May
dust28–13-0.0424%29 May
mirage13–5-0.0435%26 May
ancient13–7-0.0130%26 May
inferno10–13-0.0419%26 May
mirage9–13-0.0125%25 May
dust28–130.0232%25 May
mirage11–13-0.0121%23 May
dust23–13-0.0844%23 May
anubis13–5-0.0613%22 May
mirage6–00.0250%22 May
inferno13–5-0.0231%22 May
nuke13–70.1537%19 May
nuke5–130.0115%19 May
mirage13–40.1320%18 May
cache13–60.0427%18 May
mirage5–13-0.0221%18 May
mirage13–40.0120%12 Apr
mirage15–150.0336%7 Apr
dust25–130.0121%4 Apr
nuke5–130.0232%2 Apr
dust216–13-0.0125%19 Feb
mirage13–10-0.0133%11 Feb
mirage12–120.0915%10 Feb
mirage13–70.0632%10 Feb
ancient13–4-0.0330%31 Jan
ancient13–90.0122%12 Jan
ancient13–60.0533%3 Jan
dust25–130.0527%3 Jan
mirage13–50.0430%1 Jan
dust210–13-0.0335%31 Dec
mirage13–60.0926%30 Dec
ancient13–110.0325%28 Dec
mirage13–80.0833%28 Dec
mirage7–130.0420%25 Dec
dust211–10.0618%22 Dec
mirage10–130.0234%16 Dec
dust23–130.0122%14 Dec
train9–130.0732%29 Nov
mirage16–130.0619%9 Nov
overpass8–13-0.0214%2 Nov
dust28–13-0.0339%28 Oct
mirage13–80.0227%27 Oct
ancient13–80.1529%26 Oct
mirage4–130.0426%25 Oct
dust213–8-0.0136%24 Oct
dust21–100.0031%24 Oct
ancient1–60.0836%30 Sept
dust216–140.0436%7 Sept
mirage10–130.0214%4 Sept
dust27–13-0.0914%4 Sept
dust213–10-0.0224%28 Aug
mirage13–8-0.0022%25 Aug
inferno10–13-0.0329%16 Aug
mirage1–13-0.1320%10 Aug
mirage13–100.0628%10 Aug
mirage13–100.0113%9 Aug
dust213–9-0.0317%9 Aug
ancient13–70.0435%7 Aug
dust215–150.0025%6 Aug
ancient13–40.0529%6 Aug
mirage13–100.0427%6 Aug
inferno4–70.0221%6 Aug
mirage8–13-0.0437%6 Aug
mirage9–13-0.0215%31 Jul
dust211–130.0635%31 Jul
mirage13–70.0724%31 Jul
mirage14–16-0.0126%20 Jul
dust213–5-0.0125%19 Jul
ancient7–13-0.055%3 Jul
dust213–10-0.0121%27 Jun
inferno13–9-0.0629%26 Jun
train13–10-0.0429%26 Jun
mirage15–15-0.0122%25 Jun
mirage7–13-0.0419%21 Jun
mirage13–80.0514%20 Jun
mirage13–110.0526%20 Jun
mirage13–10.0525%20 Jun
ancient7–130.0218%20 Jun
mirage15–150.0218%19 Jun
dust20–13-0.0850%19 Jun
dust213–70.0623%19 Jun
dust213–10-0.0123%19 Jun
dust213–3-0.0042%19 Jun
mirage13–110.0322%19 Jun
mirage13–90.0337%18 Jun
ancient13–80.0122%18 Jun
mirage13–80.0327%18 Jun
ancient13–90.0618%17 Jun
dust213–6-0.0017%17 Jun

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 →