Taneli

Taneli — CS2 Stats

FI76561198798860959[U:1:838595231]Steam profile ↗✓ No bans

541Tracked matches47%Win rate2020Tracked since
1,462Hours in CS
CSDB Rating4.6 DevelopingPositional Player
CSDB Leaderboard#83565 of 260118 tracked
FaceitLevel 7 · 1,399 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,000 -1,856 5 Feb – 11 Feb · 5 days played
20,00022,040peak 22,0405 Feb11 Feb
22,724Peak Premier in tracked matches
1,399Highest Faceit ELO seen on CSDB
25Days played since 2026-02-05

Faceit ELO

  • At peak — 1,399
  • Next: Level 8 at 1,531 — 132 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate39.6%45.7%46.8%7.2% short
Shot accuracy17.6%12.7%13.0%above
Kill/death ratio1.151.051.06above
Match win rate39.9%45.7%46.3%6.4% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTaneliFACEITLevel 7 · 1,399 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,399csdb.gg/stats

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Performance scores

Aim56
Positioning51
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLWWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · +22ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 787ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 748ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 737ms

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 (+1.8 against its own average).

Aim5.6
Utility3.9
Positioning5.1
Opening Duels1.5
Clutch2.8

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

iM

Plays most like iM 90% 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

T-side openings. Opening success drops from 49% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 734ms 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

Aim5.6
Positioning5.1
Utility3.9
Mechanics8.1
Opening Duels2.4
Win Impact3.9

Composite 4.6/10 (Developing), 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 time741ms+74ms
first ⅓ avg 668ms → last ⅓ avg 741ms
Headshot accuracy19.2%+3.4%
first ⅓ avg 15.8% → last ⅓ avg 19.2%

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

0.21Best match rating · 13–6 · cache, 30 Apr →
42%Best headshot accuracy · 13–1 · inferno, 24 Apr →
469msFastest reaction time · 13–3 · dust2, 10 Feb →
13–1Biggest win · inferno, 24 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
3–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 60% over 35ancientWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A3521–1460%0.02
mirageA2313–1057%0.01
anubisC104–640%0.04
infernoD93–633%0.00
ancientD80–80%-0.02
cacheC73–443%0.02
nuke—42–250%0.01
overpass—32–167%0.03
vertigo—10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,288Lifetime kills
1.15K/D · Top 50% of Level 7 players
3,473Matches
39.9%Match win rate
39.6%Headshot %
17.6%Shot accuracy · Top 25% of Level 7 players
8,322MVPs
1,462Hours (in match)
4,124Bombs planted
769Bombs defused

Most-used weapons

AK-4721,729
AWP9,420
MP91,510
FAMAS1,418
MP71,356
AUG1,307

Lifetime map wins

2,771inferno
2,248dust2
2,042nuke
1,202office
1,109vertigo
518train
456cbble
327lake

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

Faceit stats

Combat

225Matches
56%Win rate
1.50Avg K/D
91.5ADR
35%Headshot %

Clutches & streaks

34%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3063%1.3218.4
Ancient2060%1.3918.8
Dust21861%1.4115.8
Inferno1753%1.1217.1
Nuke1464%1.6818.9
Overpass475%1.5017.8

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.

19.2%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.5%Spray accuracy
86.5%Counter-strafing
10.8°Preaim
734msReaction time
23.0%T opening success
49.1%CT opening success
0.40Enemies flashed / flash
8.1%Flash assists
7.84HE damage / grenade
10.13Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 733.5291ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3986 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 22.9848% — below the 40% mark we flag

Spend your practice time on Ancient

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–16-0.0319%21 Aug →
inferno11–13-0.1010%7 Aug →
dust213–9-0.0518%7 Aug →
mirage13–40.079%7 Aug →
cache5–13-0.0617%7 Aug →
dust27–130.0422%25 Jul →
dust212–60.0111%25 Jul →
dust213–20.1418%25 Jul →
dust213–90.0528%25 Jul →
dust213–30.1625%25 Jul →
mirage7–13-0.0412%25 Jul →
mirage13–2-0.0326%25 Jul →
mirage13–10-0.0221%25 Jul →
mirage13–100.0414%18 Jul →
anubis13–20.039%29 May →
anubis6–130.068%29 May →
anubis6–13-0.0522%29 May →
anubis11–130.0319%9 May →
mirage3–13-0.0614%9 May →
mirage9–13-0.0022%9 May →
dust24–13-0.0317%9 May →
cache4–13-0.0715%9 May →
cache5–13-0.0129%30 Apr →
cache13–30.0414%30 Apr →
cache1–13-0.0624%30 Apr →
cache9–00.0715%30 Apr →
cache13–60.2115%30 Apr →
ancient10–13-0.0135%24 Apr →
inferno13–10.0642%24 Apr →
dust23–13-0.1129%24 Apr →
ancient8–130.0121%23 Apr →
dust213–2-0.0623%17 Apr →
dust213–50.0412%17 Apr →
dust24–13-0.0525%17 Apr →
dust212–120.0019%17 Apr →
dust213–40.1616%11 Apr →
anubis3–80.0117%27 Mar →
overpass0–13-0.0419%27 Mar →
ancient2–13-0.0814%27 Mar →
anubis13–30.0511%27 Mar →
mirage13–70.0019%27 Mar →
dust24–13-0.0223%11 Mar →
dust211–9-0.0418%7 Mar →
dust213–50.0733%7 Mar →
inferno1–9-0.0018%7 Mar →
ancient0–13-0.0324%7 Mar →
mirage13–50.0517%1 Mar →
mirage13–70.0821%1 Mar →
dust213–30.1424%1 Mar →
dust210–40.1519%1 Mar →
dust21–13-0.064%1 Mar →
dust213–5-0.0310%28 Feb →
inferno11–13-0.0520%28 Feb →
dust22–13-0.0214%28 Feb →
mirage12–12-0.0315%28 Feb →
mirage13–40.0512%28 Feb →
mirage13–70.1017%28 Feb →
mirage13–60.1114%28 Feb →
dust213–60.0213%28 Feb →
dust213–40.0516%28 Feb →
dust213–30.0828%28 Feb →
anubis7–130.1323%28 Feb →
inferno13–30.0615%28 Feb →
dust213–10.0723%28 Feb →
ancient8–13-0.0629%28 Feb →
mirage11–13-0.0315%28 Feb →
overpass13–50.1218%28 Feb →
mirage2–130.036%24 Feb →
nuke13–30.0812%24 Feb →
anubis13–50.0719%24 Feb →
dust213–70.1418%24 Feb →
inferno4–130.0115%24 Feb →
dust213–10-0.0023%15 Feb →
anubis2–130.0014%14 Feb →
mirage13–7-0.0916%14 Feb →
dust213–10.108%14 Feb →
dust210–13-0.0738%14 Feb →
mirage1–13-0.0214%11 Feb →
nuke3–13-0.0510%11 Feb →
dust213–30.017%10 Feb →
vertigo12–120.0412%10 Feb →
inferno13–110.077%10 Feb →
dust27–130.0932%8 Feb →
mirage8–13-0.0010%8 Feb →
overpass13–4-0.0017%7 Feb →
dust26–13-0.0424%7 Feb →
ancient5–130.0218%7 Feb →
dust27–13-0.0325%6 Feb →
mirage1–13-0.0510%6 Feb →
ancient2–13-0.059%6 Feb →
inferno11–13-0.0324%6 Feb →
inferno10–13-0.016%6 Feb →
nuke13–7-0.0319%6 Feb →
mirage13–110.0112%6 Feb →
mirage10–130.0218%6 Feb →
mirage13–90.0522%6 Feb →
dust23–13-0.0521%6 Feb →
anubis13–60.0417%6 Feb →
ancient14–160.067%5 Feb →
nuke10–130.0311%5 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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