Tzimii

Tzimii — CS2 Stats

FI76561198054575304[U:1:94309576]Steam profile ↗✓ No bans

2,319Tracked matches63%Win rate2021Tracked since
1,594Hours in CS
CSDB Rating5.5 SolidSupport
FaceitLevel 8 · 1,835 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate36.3%46.8%48.2%11.9% short
Shot accuracy11.8%13.0%13.2%1.4% short
Kill/death ratio0.991.061.070.08 short
Match win rate42.4%46.3%46.9%4.5% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTzimiiFACEITLevel 8 · 1,835 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning61
Utility65

0–100 skill scores via Leetify.

Recent form

HOT54–45–1Last 10054%Win rateWLLWWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +1.8pp headshot accuracy · −65ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 565ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 597ms

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 against its own average).

Aim5.6
Utility6.5
Positioning6.1
Opening Duels2.5
Clutch3.0

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

iM

Plays most like iM 72% 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

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning6.1
Utility6.5
Mechanics4.3
Opening Duels3.0
Win Impact9.4

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time600ms−25ms
first ⅓ avg 625ms → last ⅓ avg 600ms
Headshot accuracy11.1%+1.4%
first ⅓ avg 9.7% → last ⅓ avg 11.1%

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

0.12Best match rating · 4–0 · rush_001, 29 Oct →
27%Best headshot accuracy · 7–8 · rush_001, 29 Oct →
469msFastest reaction time · 6–13 · inferno, 6 Apr →
13–1Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–10In matches decided by ≤2 rounds
19Overtime games

Map breakdown

ancientBest map · 74% over 27anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
ancientS2720–774%0.02
nukeA2212–1055%-0.00
cacheB147–750%0.01
dust2C135–838%-0.01
mirageB84–450%-0.01
infernoA74–357%0.00
anubisD50–50%-0.03
rush_001—21–150%0.04
overpass—21–150%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,189Lifetime kills
0.99K/D
2,880Matches
42.4%Match win rate
36.3%Headshot %
11.8%Shot accuracy
5,946MVPs
1,594Hours (in match)
3,331Bombs planted
809Bombs defused

Most-used weapons

AK-4721,965
AWP7,827
MAC-101,336
MP91,266
Knife1,166

Lifetime map wins

6,081nuke
4,558inferno
2,626vertigo
1,553dust2
1,250train
63safehouse
58office
54lake

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

Faceit stats

Combat

1,271Matches
50%Win rate
1.18Avg K/D
81.6ADR
30%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke16353%1.1716.7
Ancient13354%1.1416.4
Anubis9548%1.2316.7
Dust26841%1.1115.9
Mirage5636%1.0616.1
Inferno5560%1.3017.2
Train5555%1.1818.0
Overpass2952%1.0916.8

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.

10.3%Headshot accuracy
39.2%Accuracy (enemy spotted)
43.9%Spray accuracy
69.3%Counter-strafing
11.8°Preaim
600msReaction time
37.0%T opening success
47.0%CT opening success
0.63Enemies flashed / flash
8.9%Flash assists
15.89HE damage / grenade
6.73Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.3049% — below the 15% mark we flag

    Aim Training →
  2. 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 37.0387% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke22–200.069%29 Oct →
cache11–130.0112%29 Oct →
rush_0017–8-0.0427%29 Oct →
rush_0014–00.1220%29 Oct →
ancient13–20.109%27 Oct →
nuke6–13-0.0013%27 Oct →
nuke13–80.0610%25 Oct →
mirage13–11-0.025%25 Oct →
ancient13–10.0814%25 Oct →
ancient13–20.098%22 Oct →
nuke5–130.029%22 Oct →
mirage8–130.007%22 Oct →
nuke13–70.0516%12 Oct →
cache7–130.008%12 Oct →
inferno13–80.0516%12 Oct →
nuke13–100.0013%10 Oct →
ancient8–130.048%10 Oct →
dust28–13-0.0310%29 Sept →
nuke2–13-0.0513%29 Sept →
cache13–70.017%27 Sept →
ancient11–13-0.068%27 Sept →
ancient13–10-0.0111%22 Sept →
inferno13–7-0.018%22 Sept →
anubis2–13-0.059%16 Sept →
cache13–100.049%6 Sept →
dust213–80.039%6 Sept →
nuke13–11-0.0113%6 Sept →
dust213–9-0.0013%4 Sept →
nuke13–40.0116%4 Sept →
ancient13–70.1115%4 Sept →
mirage8–13-0.055%1 Sept →
cache13–6-0.0312%1 Sept →
nuke14–160.047%28 Aug →
cache16–140.0511%28 Aug →
cache8–130.016%25 Aug →
ancient13–70.028%23 Aug →
cache10–130.0315%23 Aug →
dust213–9-0.0110%17 Aug →
nuke13–5-0.0313%17 Aug →
inferno18–22-0.019%10 Aug →
nuke13–50.0012%10 Aug →
dust210–130.0014%10 Aug →
nuke6–13-0.046%5 Aug →
ancient8–13-0.034%5 Aug →
nuke13–70.0411%3 Aug →
inferno13–90.0114%3 Aug →
ancient13–30.1017%2 Aug →
ancient16–130.027%25 Jul →
cache13–11-0.0210%25 Jul →
ancient16–130.0218%23 Jul →
cache6–130.0616%23 Jul →
dust26–13-0.0710%21 Jul →
ancient9–130.018%21 Jul →
nuke4–13-0.069%21 Jul →
mirage4–13-0.0015%15 Jul →
ancient13–80.0310%12 Jul →
mirage11–13-0.0211%23 Jun →
cache13–30.098%23 Jun →
nuke15–19-0.006%22 Jun →
ancient13–60.0118%22 Jun →
cache0–13-0.088%22 Jun →
cache13–50.0014%9 Jun →
ancient13–10-0.0312%9 Jun →
anubis14–16-0.039%2 Jun →
cache11–13-0.0011%2 Jun →
nuke9–13-0.059%20 May →
overpass13–90.0513%11 May →
dust213–50.0211%11 May →
ancient13–7-0.018%11 May →
nuke12–16-0.065%26 Apr →
ancient13–20.0215%26 Apr →
anubis8–13-0.0511%26 Apr →
ancient22–200.0410%25 Apr →
nuke10–13-0.078%25 Apr →
ancient13–160.017%22 Apr →
dust27–13-0.0310%22 Apr →
inferno13–7-0.0111%21 Apr →
ancient13–9-0.0010%21 Apr →
overpass8–13-0.043%21 Apr →
dust214–160.0321%18 Apr →
ancient7–13-0.044%18 Apr →
nuke16–14-0.056%17 Apr →
dust211–13-0.0223%17 Apr →
dust213–8-0.037%13 Apr →
ancient13–80.027%13 Apr →
nuke13–100.0011%12 Apr →
ancient12–160.003%12 Apr →
mirage13–10-0.0310%12 Apr →
inferno6–13-0.016%6 Apr →
ancient13–70.018%6 Apr →
mirage13–5-0.019%4 Apr →
ancient12–50.0011%4 Apr →
dust211–13-0.0210%4 Apr →
inferno15–150.008%4 Apr →
anubis13–16-0.0112%2 Apr →
nuke13–60.0516%2 Apr →
anubis13–16-0.0113%31 Mar →
ancient19–15-0.029%26 Mar →
dust24–13-0.0110%26 Mar →
mirage19–150.007%24 Mar →

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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