Tamuli:)

Tamuli:) — CS2 Stats

FI76561198133126672[U:1:172860944]Steam profile ↗✓ No bans

1,660Tracked matches39%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating15,292Purple band · top ~27.2% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (10 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: 15,292 +292 18 Jun – 26 Oct · 25 days played
15,00018,282peak 18,28218 Jun26 Oct
18,282Peak Premier in tracked matches
35Days played since 2026-06-18

Premier CS Rating

  • 2,990 below peak (18,282)
  • +292 over 30 days · steady
  • -2,519 over 90 days
  • Next: Pink band at 20,000 — 4,708 to go
  • Reached: Purple band · 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.GGTamuli:)FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,292 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning59
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLWLWWTWLWL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating · +2.0pp headshot accuracy · −85ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 509ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 534ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 576ms

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 (+1.9 against its own average).

Aim6.7
Utility7.5
Positioning5.9
Opening Duels3.3

High utility contribution

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 578ms 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

Aim6.7
Positioning5.9
Utility7.5
Mechanics5.4
Opening Duels4.0
Win Impact1.4

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time581ms−74ms
first ⅓ avg 655ms → last ⅓ avg 581ms
Headshot accuracy22.8%+2.5%
first ⅓ avg 20.3% → last ⅓ avg 22.8%

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

0.17Best match rating · 13–10 · nuke, 22 Jul →
40%Best headshot accuracy · 13–10 · inferno, 29 Aug →
375msFastest reaction time · 7–13 · train, 4 Oct →
13–2Biggest win · ancient, 23 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 61% over 23mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC2811–1739%0.01
anubisA2314–961%0.02
nukeA159–660%0.03
cacheD144–1029%0.01
dust2C73–443%0.01
mirageD61–517%-0.01
infernoC52–340%0.01
train—10–10%-0.02
vertigo—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

368Matches
51%Win rate
1.12Avg K/D
—ADR
48%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.457.5
Inferno10%0.408.0
Anubis10%0.7110.0
Mirage10%0.7311.0

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.

23.0%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.5%Spray accuracy
74.4%Counter-strafing
9.3°Preaim
578msReaction time
49.3%T opening success
42.3%CT opening success
0.61Enemies flashed / flash
7.5%Flash assists
10.98HE damage / grenade
18.72Flashes / 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0215%26 Oct →
cache13–100.0026%26 Oct →
ancient10–130.0325%17 Oct →
anubis13–60.0529%17 Oct →
anubis13–90.0627%17 Oct →
nuke12–12-0.0319%17 Oct →
dust213–100.0633%17 Oct →
inferno11–130.0423%16 Oct →
nuke13–50.1324%16 Oct →
ancient14–160.0221%16 Oct →
anubis4–13-0.0218%4 Oct →
train7–13-0.0214%4 Oct →
ancient13–40.0224%2 Oct →
ancient13–60.0124%2 Oct →
ancient11–13-0.0426%28 Sept →
dust24–13-0.0614%26 Sept →
dust23–13-0.1229%26 Sept →
ancient9–2-0.0128%26 Sept →
cache0–13-0.1022%23 Sept →
dust213–90.1024%23 Sept →
ancient12–12-0.0613%23 Sept →
anubis5–13-0.0227%23 Sept →
cache13–16-0.0720%19 Sept →
nuke13–80.0328%19 Sept →
inferno11–13-0.0626%19 Sept →
anubis13–9-0.0219%19 Sept →
anubis4–130.0032%12 Sept →
cache8–13-0.0322%12 Sept →
ancient5–130.0326%12 Sept →
ancient3–13-0.0419%5 Sept →
cache9–130.1519%5 Sept →
anubis7–130.0321%4 Sept →
anubis13–60.0217%4 Sept →
ancient3–13-0.0032%4 Sept →
ancient8–13-0.0529%2 Sept →
mirage3–13-0.0110%2 Sept →
ancient13–60.0831%29 Aug →
anubis13–80.0728%29 Aug →
inferno13–100.0040%29 Aug →
nuke13–110.0726%29 Aug →
cache10–13-0.0422%22 Aug →
ancient4–130.0235%20 Aug →
anubis4–13-0.0121%20 Aug →
anubis16–130.0526%14 Aug →
ancient13–80.1427%14 Aug →
mirage13–110.0018%14 Aug →
nuke7–10.039%14 Aug →
ancient13–90.0722%14 Aug →
vertigo2–130.0117%8 Aug →
ancient7–130.0431%8 Aug →
dust210–130.0131%8 Aug →
ancient8–13-0.0122%8 Aug →
anubis16–130.0129%4 Aug →
anubis13–10-0.0018%4 Aug →
anubis12–120.0831%3 Aug →
nuke13–70.0318%2 Aug →
cache11–130.0133%2 Aug →
mirage1–13-0.0329%31 Jul →
dust24–130.0232%31 Jul →
ancient13–8-0.0221%31 Jul →
nuke10–130.0427%31 Jul →
ancient8–130.0026%29 Jul →
nuke3–130.0317%29 Jul →
ancient6–130.0621%29 Jul →
inferno16–130.0520%27 Jul →
cache5–13-0.0918%27 Jul →
ancient10–130.0425%27 Jul →
anubis13–80.0421%27 Jul →
cache13–50.1622%27 Jul →
nuke13–30.0114%25 Jul →
mirage9–13-0.0220%25 Jul →
anubis13–110.0416%25 Jul →
ancient4–13-0.0315%24 Jul →
anubis13–50.0321%24 Jul →
ancient13–9-0.0315%24 Jul →
dust213–90.0917%23 Jul →
cache11–130.0028%23 Jul →
nuke13–6-0.0215%23 Jul →
anubis13–60.0820%23 Jul →
ancient13–20.0932%23 Jul →
nuke13–100.1727%22 Jul →
nuke11–130.0129%22 Jul →
ancient13–100.0225%20 Jul →
anubis13–16-0.0318%20 Jul →
nuke5–13-0.0320%19 Jul →
nuke10–13-0.0014%19 Jul →
cache13–30.0119%19 Jul →
ancient14–160.0216%19 Jul →
ancient13–90.0511%18 Jul →
cache11–130.0328%13 Jul →
mirage9–130.0220%13 Jul →
anubis13–100.0513%12 Jul →
cache13–70.0634%12 Jul →
anubis13–90.0024%5 Jul →
cache11–130.0226%5 Jul →
inferno6–13-0.0027%18 Jun →
anubis3–130.0211%18 Jun →
nuke13–5-0.0513%18 Jun →
mirage5–13-0.0120%18 Jun →
ancient9–13-0.0620%18 Jun →

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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