tantori

tantori — CS2 Stats

76561199467524629[U:1:1507258901]Steam profile ↗✓ No bans

3,122Tracked matches37%Win rate2023Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating20,000Top 50% of 204,150 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#80190 of 251273 tracked
FaceitLevel 6 · 1,425 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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.

Rating over time

Premier CS Rating: 20,000 +1,252 26 Jul – 11 Oct · 32 days played
18,33821,245peak 21,24526 Jul11 Oct
Faceit ELO: 1,425 +0 14 Sept – 22 Sept · 5 observations
1,4251,425peak 1,42514 Sept22 Sept
21,662Peak Premier in tracked matches
1,425Highest Faceit ELO seen on CSDB
38Days played since 2026-07-26

Faceit ELO

  • At peak — 1,425
  • Next: Level 8 at 1,531 — 106 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-14
  • Level 6 first seen 2026-09-14

Premier CS Rating

  • 1,245 below peak (21,245)
  • +1,175 over 30 days · improving
  • +1,252 over 90 days
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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.GGtantoriFACEITLevel 6 · 1,425 ELOSTANDINGTop 54.0% of rankedPREMIER20,000 · Pink bandPEAK ELO1,425csdb.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

Aim73
Positioning56
Utility72

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateLLWLLLLLWL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +3.9pp headshot accuracy · +8ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 560ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

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: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim7.3
Utility7.2
Positioning5.6
Opening Duels2.3
Clutch3.8

Effective flashes

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 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

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
Positioning5.6
Utility7.2
Mechanics6.8
Opening Duels4.2
Win Impact0.6

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time545ms−12ms
first ⅓ avg 557ms → last ⅓ avg 545ms
Headshot accuracy15.6%−0.5%
first ⅓ avg 16.2% → last ⅓ avg 15.6%

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

0.18Best match rating · 13–7 · dust2, 31 Jul →
36%Best headshot accuracy · 13–8 · dust2, 31 Jul →
414msFastest reaction time · 13–9 · nuke, 29 Sept →
13–2Biggest win · mirage, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–12In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 64% over 11cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%0.01
ancientB168–850%-0.00
mirageC145–936%-0.00
anubisA117–464%-0.01
cacheD103–730%-0.01
infernoC104–640%0.02
nuke—42–250%0.05
train—31–233%-0.02
overpass—10–10%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

858Matches
49%Win rate
1.00Avg K/D
76.4ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust219155%1.0915.4
Ancient17949%1.0015.8
Anubis14448%0.9515.0
Mirage11340%0.8914.5
Inferno9251%0.9715.2
Nuke4248%0.9814.2
Train3256%1.0915.2
Cache2035%0.7812.4

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.

15.2%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.3%Spray accuracy
80.7%Counter-strafing
8.8°Preaim
542msReaction time
54.7%T opening success
39.3%CT opening success
0.71Enemies flashed / flash
9.5%Flash assists
11.43HE damage / grenade
11.12Flashes / 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

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

    CT opening duels 39.2861% — below the 40% mark we flag

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0718%11 Oct →
anubis5–13-0.0515%10 Oct →
train13–100.0214%10 Oct →
mirage4–13-0.0213%9 Oct →
cache5–13-0.0512%9 Oct →
dust211–130.1017%9 Oct →
inferno3–130.0119%9 Oct →
dust27–13-0.0825%8 Oct →
inferno13–60.0722%8 Oct →
inferno4–13-0.0215%8 Oct →
mirage11–13-0.0510%8 Oct →
mirage13–20.0218%8 Oct →
train3–13-0.1024%8 Oct →
nuke11–130.058%7 Oct →
mirage8–130.0213%7 Oct →
cache13–70.0811%7 Oct →
ancient13–90.0811%6 Oct →
dust213–30.067%6 Oct →
mirage13–110.0319%6 Oct →
inferno13–40.0210%6 Oct →
ancient6–13-0.028%4 Oct →
ancient9–130.0010%4 Oct →
mirage11–130.075%4 Oct →
mirage4–130.0630%4 Oct →
cache8–13-0.0217%2 Oct →
dust21–13-0.0117%2 Oct →
dust23–13-0.0515%1 Oct →
dust213–100.0314%29 Sept →
anubis13–8-0.0621%29 Sept →
nuke13–90.0623%29 Sept →
mirage13–11-0.0514%29 Sept →
ancient15–15-0.0616%27 Sept →
dust27–130.0224%27 Sept →
cache5–13-0.0030%27 Sept →
mirage13–50.047%26 Sept →
mirage4–13-0.0928%26 Sept →
ancient13–50.0312%26 Sept →
anubis13–80.0220%26 Sept →
mirage2–110.0123%26 Sept →
anubis9–13-0.017%20 Sept →
ancient8–13-0.1119%20 Sept →
dust211–13-0.0124%20 Sept →
nuke13–40.0413%20 Sept →
nuke11–130.0314%19 Sept →
anubis13–10-0.0219%19 Sept →
anubis6–13-0.0211%17 Sept →
dust26–13-0.067%13 Sept →
ancient9–13-0.082%12 Sept →
inferno10–130.0116%12 Sept →
dust23–130.0317%12 Sept →
dust213–90.0314%5 Sept →
cache13–30.0420%5 Sept →
dust213–20.0419%5 Sept →
mirage4–13-0.0414%5 Sept →
dust29–130.0315%4 Sept →
ancient3–13-0.0113%3 Sept →
dust29–13-0.0017%3 Sept →
cache13–6-0.0012%3 Sept →
anubis13–9-0.007%1 Sept →
ancient22–180.039%1 Sept →
dust23–13-0.0316%31 Aug →
ancient11–130.0219%30 Aug →
dust215–19-0.0822%30 Aug →
ancient13–7-0.0126%29 Aug →
dust213–7-0.0218%23 Aug →
cache14–16-0.0213%23 Aug →
cache6–13-0.0425%22 Aug →
anubis7–130.0218%21 Aug →
inferno11–130.018%20 Aug →
overpass9–13-0.029%20 Aug →
ancient13–9-0.018%18 Aug →
dust211–13-0.0614%18 Aug →
train12–120.0119%18 Aug →
anubis8–3-0.0117%17 Aug →
ancient13–110.0126%17 Aug →
dust28–130.0313%17 Aug →
dust213–40.017%15 Aug →
dust22–40.0322%15 Aug →
ancient7–130.0618%15 Aug →
inferno10–13-0.0210%5 Aug →
dust210–30.0419%5 Aug →
dust213–11-0.046%5 Aug →
ancient13–4-0.038%5 Aug →
ancient13–70.0311%3 Aug →
dust25–13-0.0723%3 Aug →
cache4–13-0.0513%3 Aug →
dust213–70.0424%1 Aug →
dust213–70.1828%31 Jul →
dust213–80.0636%31 Jul →
inferno13–100.0822%31 Jul →
dust25–13-0.0128%31 Jul →
dust213–60.0112%31 Jul →
dust213–80.0313%31 Jul →
inferno13–40.048%30 Jul →
anubis16–130.0415%30 Jul →
inferno4–13-0.0318%30 Jul →
mirage11–13-0.0128%29 Jul →
anubis13–8-0.0514%26 Jul →
mirage13–11-0.0114%26 Jul →
cache5–13-0.084%26 Jul →

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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