Tyutyi — CS2 Stats

76561198026115813[U:1:65850085]

4,279Tracked matches47%Win rate2020Tracked since
4,891Hours in CS14Hrs last 2 wks
CSDB Rating4.8 DevelopingPassive Rifler
FaceitLevel 4 · 1,381 ELOTop 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate38.1%42.5%44.2%6.1% short
Shot accuracy9.4%10.9%11.2%1.8% short
Kill/death ratio0.860.991.040.17 short
Match win rate41.9%44.2%45.3%3.4% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTyutyiFACEITLevel 4 · 1,381 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning42
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY44551Last 10044%Win rateLLWWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression3.9
Utility4.6
Positioning4.2
Opening Duels0.5
Clutch3.2

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 572ms 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
Positioning4.2
Utility4.6
Mechanics7.5
Opening Duels0.8
Win Impact3.9

Composite 4.8/10 (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 rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time583ms−3ms
first ⅓ avg 587ms → last ⅓ avg 583ms
Headshot accuracy16.5%+2.6%
first ⅓ avg 13.9% → 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.

Highlights

0.11Best rating — inferno 13–9
131Biggest win — inferno
5Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 56% over 25anubisWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
ancientA25141156%-0.03
infernoB21111052%-0.02
anubisD1941521%-0.05
nukeB126650%-0.04
dust2D92722%-0.02
cacheD72529%-0.04
mirage32167%-0.05
overpass32167%0.00
train110100%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,750Lifetime kills
0.86K/D
7,302Matches
41.9%Match win rate
38.1%Headshot %
9.4%Shot accuracy
13,006MVPs
2,983Hours (in match)
5,004Bombs planted
1,179Bombs defused

Most-used weapons

AK-4716,980
Galil AR16,162
P909,574
AWP9,019
MP75,369
MP95,085
FAMAS4,980

Lifetime map wins

21,949inferno
16,127dust2
4,932nuke
2,676vertigo
1,492train
1,304office
356italy
128cbble

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

Faceit stats

Combat

1,177Matches
49%Win rate
0.85Avg K/D
70.3ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno24554%0.8613.1
Ancient22343%0.8213.1
Anubis14847%0.8813.5
Nuke11348%0.8414.6
Dust28345%1.0014.0
Mirage4450%0.8814.6
Overpass3158%0.8614.1
Vertigo1164%0.9516.8

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.

16.1%Headshot accuracy
37.9%Accuracy (enemy spotted)
37.5%Spray accuracy
83.9%Counter-strafing
10.7°Preaim
572msReaction time
27.0%T opening success
36.8%CT opening success
0.51Enemies flashed / flash
6.6%Flash assists
7.45HE damage / grenade
4.84Flashes / 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 27.0214% — 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.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0421%22 Aug
anubis9–13-0.0614%22 Aug
inferno13–80.0413%22 Aug
ancient13–7-0.0516%22 Aug
ancient13–90.0316%22 Aug
inferno11–13-0.0416%20 Aug
ancient13–5-0.0527%20 Aug
inferno13–7-0.0329%20 Aug
anubis5–13-0.0811%18 Aug
mirage13–8-0.077%18 Aug
inferno13–2-0.0014%18 Aug
inferno13–16-0.1010%17 Aug
nuke13–8-0.0912%17 Aug
dust212–160.0623%17 Aug
dust212–16-0.0210%17 Aug
dust28–13-0.0715%17 Aug
ancient8–13-0.0621%16 Aug
ancient10–13-0.044%16 Aug
nuke6–13-0.0617%15 Aug
nuke16–14-0.0614%15 Aug
ancient10–13-0.027%10 Aug
ancient13–70.0115%10 Aug
ancient4–13-0.0729%9 Aug
cache13–9-0.0216%9 Aug
ancient13–8-0.0820%3 Aug
ancient13–6-0.077%3 Aug
nuke13–11-0.0631%3 Aug
anubis8–13-0.0717%3 Aug
anubis10–13-0.0917%3 Aug
dust29–13-0.0118%1 Aug
dust213–11-0.0018%1 Aug
cache5–13-0.0630%1 Aug
inferno3–13-0.0610%1 Aug
inferno9–13-0.0317%1 Aug
ancient13–7-0.0613%26 Jul
anubis13–10-0.0513%26 Jul
ancient7–13-0.0425%26 Jul
ancient13–9-0.0711%20 Jul
overpass13–100.0922%5 Jul
ancient10–6-0.007%5 Jul
ancient13–30.0816%5 Jul
nuke13–11-0.0612%5 Jul
nuke5–130.0610%5 Jul
nuke8–13-0.0810%2 Jul
mirage4–13-0.058%2 Jul
nuke4–13-0.1110%2 Jul
cache13–2-0.0538%2 Jul
ancient13–16-0.049%18 Jun
inferno10–13-0.0512%18 Jun
anubis13–10-0.0815%17 Jun
anubis11–13-0.0211%15 Jun
dust26–13-0.0814%15 Jun
inferno13–80.0424%13 Jun
ancient13–100.0711%7 Jun
ancient10–13-0.078%7 Jun
anubis14–16-0.0710%7 Jun
anubis7–13-0.0513%23 May
inferno25–22-0.0313%23 May
dust23–13-0.0021%21 May
train13–90.0619%21 May
anubis10–13-0.0117%19 May
anubis14–16-0.0611%19 May
inferno13–9-0.0415%19 May
ancient2–13-0.0613%19 May
inferno5–13-0.0711%18 May
anubis1–13-0.129%18 May
ancient19–15-0.0515%17 May
cache12–12-0.0411%13 May
inferno13–5-0.0520%8 May
anubis9–13-0.0215%8 May
nuke13–90.0211%8 May
inferno9–13-0.0416%6 May
nuke13–70.0319%6 May
overpass8–13-0.0410%6 May
overpass13–7-0.0312%6 May
anubis7–13-0.0415%5 May
inferno13–40.0218%5 May
inferno13–90.1114%5 May
dust213–10-0.0326%5 May
mirage13–10-0.0222%5 May
anubis8–130.0122%4 May
ancient13–16-0.0211%4 May
inferno13–10.0212%4 May
inferno11–13-0.1015%4 May
dust27–130.0117%3 May
ancient13–6-0.0214%3 May
anubis9–13-0.0914%3 May
cache6–13-0.088%3 May
ancient13–10-0.0211%2 May
inferno10–130.0113%2 May
inferno11–130.0211%2 May
anubis13–4-0.0216%2 May
nuke10–13-0.0613%2 May
anubis10–130.0515%2 May
inferno13–9-0.0310%1 May
ancient8–13-0.0611%1 May
anubis13–11-0.053%1 May
cache5–13-0.0113%1 May
cache7–13-0.058%1 May
ancient8–130.0113%1 May

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 →