TaN3

TaN3 — CS2 Stats

FI76561198155520464[U:1:195254736]Steam profile ↗✓ No bans

176Tracked matches47%Win rate2020Tracked since
1,605Hours in CS1Hrs last 2 wks
CSDB Rating5.4 DevelopingAll-Rounder
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,633 -4,069 6 Jan – 4 Jun · 9 days played
11,63315,702peak 15,7026 Jan4 Jun
15,760Peak Premier in tracked matches
51Days played since 2024-01-04

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 2 among CSDB-tracked players (n=6,003), 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 2 medianLevel 3 medianvs Level 3
Headshot rate33.5%41.3%41.8%8.3% short
Shot accuracy19.4%12.7%12.2%above
Kill/death ratio0.850.950.980.13 short
Match win rate41.4%42.6%43.3%1.8% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTaN3FACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLWWWLWWLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −5.1pp headshot accuracy · −91ms 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 -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 545ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 587ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.4
Utility5.1
Positioning5.0
Opening Duels3.0

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 586ms 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

Aim7.4
Positioning5.0
Utility5.1
Mechanics5.3
Opening Duels2.5
Win Impact3.9

Composite 5.4/10 (Developing), 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 rating-0.01+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time584ms−69ms
first ⅓ avg 653ms → last ⅓ avg 584ms
Headshot accuracy16.5%+6.2%
first ⅓ avg 10.3% → last ⅓ avg 16.5%

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

0.13Best match rating · 13–4 · mirage, 13 Feb →
67%Best headshot accuracy · 4–0 · nuke, 9 Sept →
352msFastest reaction time · 4–7 · office, 4 Jan →
13–1Biggest win · nuke, 24 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 57% over 14anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%-0.02
nukeA148–657%0.00
infernoC135–838%-0.05
anubisD124–833%-0.05
dust2D124–833%-0.02
ancientC104–640%-0.03
cacheA74–357%0.01
vertigo—41–325%0.02
overpass—41–325%-0.05
office—21–150%-0.08
train—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,053Lifetime kills
0.85K/D
2,015Matches
41.4%Match win rate
33.5%Headshot %
19.4%Shot accuracy · Top 10% of Level 2 players
4,300MVPs
878Hours (in match)
2,235Bombs planted
427Bombs defused

Most-used weapons

Lifetime map wins

2,894inferno
2,399dust2
1,994nuke
721train
395vertigo
355cbble
140office
50italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.3%Headshot accuracy
40.5%Accuracy (enemy spotted)
41.0%Spray accuracy
73.9%Counter-strafing
9.5°Preaim
586msReaction time
34.5%T opening success
45.3%CT opening success
0.59Enemies flashed / flash
13.1%Flash assists
8.21HE damage / grenade
5.81Flashes / 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 34.4562% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo7–130.069%11 Oct →
nuke16–13-0.1015%25 Sept →
inferno13–110.0226%25 Sept →
nuke13–50.0315%25 Sept →
anubis5–13-0.104%25 Sept →
anubis13–9-0.014%25 Sept →
cache13–9-0.0211%24 Sept →
ancient10–13-0.0321%24 Sept →
nuke6–13-0.0326%12 Sept →
cache9–13-0.0311%11 Sept →
cache13–30.0219%11 Sept →
mirage6–13-0.0212%9 Sept →
nuke4–00.0167%9 Sept →
vertigo11–13-0.019%15 Aug →
cache10–13-0.0616%26 Jun →
dust213–70.0214%4 Jun →
mirage6–13-0.0615%8 May →
inferno12–16-0.0222%7 May →
anubis11–13-0.073%5 May →
cache13–50.1115%30 Apr →
cache13–7-0.0313%30 Apr →
cache6–130.0820%30 Apr →
mirage7–13-0.059%3 Apr →
dust29–130.0511%13 Mar →
anubis13–10-0.0312%13 Mar →
mirage13–30.0414%13 Mar →
dust28–13-0.0412%27 Feb →
inferno6–13-0.0813%20 Feb →
mirage13–7-0.0215%20 Feb →
office13–5-0.0250%19 Feb →
ancient13–6-0.0310%19 Feb →
mirage13–9-0.0119%19 Feb →
vertigo12–120.0313%18 Feb →
ancient13–3-0.044%17 Feb →
mirage13–110.0213%14 Feb →
dust25–13-0.0416%14 Feb →
mirage0–13-0.059%14 Feb →
overpass13–16-0.066%14 Feb →
nuke11–130.0215%13 Feb →
anubis13–40.034%13 Feb →
mirage3–13-0.0717%13 Feb →
ancient13–100.016%13 Feb →
nuke13–60.019%13 Feb →
mirage13–40.138%13 Feb →
nuke4–130.0310%12 Feb →
ancient13–11-0.0413%12 Feb →
dust216–14-0.037%30 Jan →
nuke13–110.0211%30 Jan →
overpass8–13-0.108%23 Jan →
dust210–13-0.0222%23 Jan →
inferno4–13-0.0810%22 Jan →
mirage13–7-0.028%22 Jan →
anubis7–1-0.0322%22 Jan →
dust23–13-0.104%15 Jan →
mirage9–13-0.0813%14 Jan →
train11–13-0.0815%14 Jan →
ancient5–13-0.0223%6 Jan →
mirage11–13-0.019%6 Jan →
mirage13–60.007%5 Jan →
inferno1–10-0.097%2 Jan →
ancient10–13-0.0318%2 Jan →
overpass13–60.106%2 Jan →
nuke13–4-0.0110%2 Jan →
mirage13–8-0.0512%2 Jan →
mirage1–13-0.0218%28 Dec →
ancient5–130.0013%26 Dec →
inferno5–13-0.0611%24 Dec →
anubis3–13-0.0615%4 Mar →
anubis7–13-0.066%3 Mar →
mirage13–100.057%3 Mar →
dust23–130.009%3 Mar →
ancient8–13-0.004%3 Mar →
anubis9–13-0.0110%3 Mar →
mirage12–12-0.004%25 Feb →
inferno13–11-0.0312%25 Feb →
anubis2–13-0.1612%25 Feb →
nuke16–120.059%25 Feb →
inferno5–13-0.077%24 Feb →
nuke13–10.047%24 Feb →
inferno9–70.0815%24 Feb →
inferno2–9-0.194%24 Feb →
nuke10–130.0110%24 Feb →
anubis11–13-0.048%13 Feb →
mirage13–60.0213%16 Jan →
mirage11–13-0.1226%17 Dec →
nuke7–13-0.0017%17 Dec →
mirage2–13-0.0631%10 Nov →
overpass5–13-0.126%5 Oct →
inferno13–8-0.024%5 Oct →
inferno13–9-0.0512%16 Feb →
nuke10–13-0.047%13 Feb →
inferno10–13-0.0413%30 Jan →
ancient7–13-0.089%18 Jan →
dust213–4-0.0911%11 Jan →
dust213–30.029%11 Jan →
dust210–13-0.0213%8 Jan →
anubis15–15-0.078%6 Jan →
vertigo13–6-0.006%6 Jan →
office4–7-0.138%4 Jan →
dust212–120.0110%4 Jan →

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 →

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