totiee

totiee — CS2 Stats

SE76561198045148865[U:1:84883137]Steam profile ↗✓ No bans

521Tracked matches41%Win rate2021Tracked since
1,917Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating27,532Top 5% of 215,558 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#4514 of 261676 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 521 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,532 +1,018 30 Apr – 25 Oct · 16 days played
26,21827,958peak 27,95830 Apr25 Oct
28,098Peak Premier in tracked matches
2,291Highest Faceit ELO seen on CSDB
32Days played since 2025-04-23

Premier CS Rating

  • 426 below peak (27,958)
  • 0 over 30 days · steady
  • Next: Gold band at 30,000 — 2,468 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-02
  • Pink band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=31,884), 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 playerLevel 10 median
Headshot rate42.5%50.9%
Shot accuracy15.7%13.7%
Kill/death ratio0.931.09
Match win rate49.9%48.4%

Share this profile

CSDB.GGtotieeFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,532 · Red bandPEAK ELO2,291csdb.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
Positioning51
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLLWWLLWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · +51ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 603ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 590ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

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 (+2.3 against its own average).

Aim7.3
Utility6.6
Positioning5.1
Opening Duels2.0
Clutch3.4

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 86% 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 →

CSDB Rating breakdown

Aim7.3
Positioning5.1
Utility6.6
Mechanics6.6
Opening Duels1.1
Win Impact2.1

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time559ms−1ms
first ⅓ avg 560ms → last ⅓ avg 559ms
Headshot accuracy15.2%−1.0%
first ⅓ avg 16.3% → 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

0.14Best match rating · 13–6 · mirage, 24 Jun →
33%Best headshot accuracy · 4–13 · dust2, 23 Jun →
375msFastest reaction time · 7–13 · dust2, 12 Jun →
13–1Biggest win · dust2, 29 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
1–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB2815–1354%0.03
dust2C218–1338%-0.00
infernoC135–838%0.01
ancientB126–650%-0.01
anubisS129–375%0.03
nukeB63–350%0.01
cacheS54–180%0.03
overpass—22–0100%0.07
train—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,104Lifetime kills
0.93K/D
4,324Matches
49.9%Match win rate · Top 50% of Level 10 players
42.5%Headshot %
15.7%Shot accuracy · Top 50% of Level 10 players
9,414MVPs
1,917Hours (in match)
1,350Bombs planted
1,068Bombs defused

Most-used weapons

AK-4731,665
AWP9,056
AUG2,594
SCAR-201,563
SSG 081,400
P901,384

Lifetime map wins

5,820inferno
3,000dust2
1,723nuke
1,208train
896cbble
585vertigo
98lake
93dust

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

Faceit stats

Combat

730Matches
54%Win rate
1.18Avg K/D
93.7ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11458%1.4419.7
Dust24858%1.3817.8
Anubis4457%1.4519.2
Inferno2959%1.4918.8
Ancient2752%1.2317.7
Vertigo1547%1.0215.2
Nuke1457%1.1015.2
Cache888%1.6817.8

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.

15.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
39.4%Spray accuracy
79.6%Counter-strafing
8.4°Preaim
546msReaction time
30.0%T opening success
39.2%CT opening success
0.64Enemies flashed / flash
14.7%Flash assists
7.11HE damage / grenade
9.58Flashes / 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 29.9796% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0318%2 Jul →
mirage8–130.0117%29 Jun →
dust213–10.0031%29 Jun →
anubis13–50.0012%29 Jun →
mirage7–13-0.0511%26 Jun →
dust23–130.0024%26 Jun →
mirage13–60.0417%26 Jun →
ancient13–60.0111%26 Jun →
dust213–8-0.0211%26 Jun →
nuke13–80.0818%26 Jun →
anubis13–80.0215%25 Jun →
ancient3–13-0.0320%24 Jun →
dust213–90.0315%24 Jun →
mirage13–80.0413%24 Jun →
nuke1–13-0.0511%24 Jun →
mirage13–60.1412%24 Jun →
inferno8–130.0514%24 Jun →
dust212–16-0.0115%24 Jun →
dust24–130.0133%23 Jun →
dust28–13-0.0415%23 Jun →
mirage9–13-0.0010%23 Jun →
ancient13–1-0.046%23 Jun →
dust215–15-0.0316%23 Jun →
dust24–130.0022%23 Jun →
mirage8–13-0.0318%22 Jun →
ancient6–13-0.0517%22 Jun →
dust213–90.019%22 Jun →
dust210–13-0.007%22 Jun →
anubis1–13-0.120%22 Jun →
dust20–13-0.0420%22 Jun →
mirage13–7-0.0321%22 Jun →
inferno6–13-0.028%22 Jun →
inferno13–5-0.0214%22 Jun →
mirage7–10.097%21 Jun →
inferno13–50.036%21 Jun →
mirage4–1-0.060%21 Jun →
mirage4–130.018%21 Jun →
dust214–16-0.0021%21 Jun →
anubis13–10-0.0310%16 Jun →
mirage13–50.0817%16 Jun →
anubis13–70.0312%16 Jun →
ancient13–6-0.0211%16 Jun →
inferno5–130.0121%16 Jun →
mirage13–30.0716%14 Jun →
anubis13–50.0327%14 Jun →
mirage13–40.1419%14 Jun →
mirage11–130.0216%14 Jun →
anubis13–90.0620%14 Jun →
dust216–120.0416%13 Jun →
ancient13–100.0220%13 Jun →
mirage13–3-0.0212%13 Jun →
dust26–130.0120%12 Jun →
dust213–5-0.049%12 Jun →
dust29–4-0.008%12 Jun →
nuke13–10-0.0010%12 Jun →
ancient2–130.0123%12 Jun →
dust27–130.0213%12 Jun →
ancient13–40.0210%12 Jun →
dust213–20.0614%12 Jun →
mirage9–13-0.0212%11 Jun →
dust25–13-0.0310%9 Jun →
overpass13–80.1020%7 Jun →
nuke11–130.039%7 Jun →
mirage10–130.0419%7 Jun →
inferno6–130.069%7 Jun →
mirage6–130.0319%4 Jun →
inferno11–13-0.0212%4 Jun →
mirage11–130.1010%3 Jun →
cache2–13-0.019%3 Jun →
anubis13–60.0323%3 Jun →
anubis5–13-0.0014%3 Jun →
mirage13–80.0119%2 Jun →
ancient6–13-0.0712%2 Jun →
cache13–70.0415%1 Jun →
ancient13–11-0.0022%31 May →
inferno5–13-0.0315%28 May →
anubis13–70.1312%28 May →
inferno13–90.0317%27 May →
cache13–30.0912%27 May →
nuke10–13-0.0111%24 May →
overpass13–90.039%24 May →
inferno7–130.0320%23 May →
mirage13–80.0620%23 May →
ancient11–130.0619%12 May →
mirage8–13-0.0213%3 May →
cache13–10-0.0221%3 May →
cache13–90.0514%3 May →
mirage11–130.0415%3 May →
anubis13–20.0911%2 May →
dust20–13-0.0420%27 Feb →
inferno13–50.0319%27 Feb →
train13–9-0.0216%30 Apr →
mirage9–13-0.0321%29 Apr →
mirage13–80.0112%29 Apr →
mirage13–10.0228%29 Apr →
inferno13–10.0124%29 Apr →
anubis11–130.0819%29 Apr →
nuke13–3-0.0019%29 Apr →
inferno6–13-0.0714%24 Apr →
mirage13–80.0416%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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