Tusonov — CS2 Stats

76561198058672388[U:1:98406660]

1,624Tracked matches50%Win rate2024Tracked since
1,131Hours in CS
CSDB Rating5.0 DevelopingHybrid Rifler
FaceitLevel 9 · 1,410 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate64.3%49.0%52.0%above
Shot accuracy0.1%13.1%13.7%13.6% short
Kill/death ratio1.451.081.08above
Match win rate34.5%46.9%48.8%14.3% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTusonovFACEITLevel 9 · 1,410 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning49
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY40582Last 10040%Win rateWWWLWWLLWL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

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

Aim7.6
Aggression4.6
Utility3.8
Positioning4.9
Opening Duels1.5
Clutch4.2

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.

Your pro match

NiKo

Plays most like NiKo 88% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim7.6
Positioning4.9
Utility3.8
Mechanics7.1
Opening Duels1.8
Win Impact5.0

Composite 5.0/10 (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-0.00+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time593ms−59ms
first ⅓ avg 653ms → last ⅓ avg 593ms
Headshot accuracy14.6%+0.9%
first ⅓ avg 13.7% → last ⅓ avg 14.6%

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

0.13Best rating — ancient 13–5
132Biggest win — nuke
4Longest win streak
W3Current streak
714In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 50% over 22infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB22111150%-0.02
infernoD1651131%-0.03
ancientC145936%-0.02
anubisB126650%-0.01
nukeC104640%0.02
mirageD62433%-0.04
overpassB63350%-0.03
vertigo4040%-0.07
office41325%-0.04
dust221150%-0.02
poseidon21150%0.04
boulder110100%-0.01
train1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,036Lifetime kills
1.45K/D · Top 10% of Level 9 players
2,716Matches
34.5%Match win rate
64.3%Headshot % · Top 10% of Level 9 players
0.1%Shot accuracy
4,448MVPs
1,131Hours (in match)
1,702Bombs planted
494Bombs defused

Most-used weapons

AK-4745,684
AWP8,568
MP91,223
Knife1,157

Lifetime map wins

4,264inferno
3,064nuke
1,585dust2
518train
354vertigo
291office
4ar_shoots
2militia

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

Faceit stats

Combat

686Matches
55%Win rate
0.83Avg K/D
68.3ADR
37%Headshot %

Clutches & streaks

41%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno17961%0.8412.9
Ancient13955%0.8513.4
Nuke10752%0.9013.8
Cache7563%0.8313.0
Mirage6337%0.7312.0
Anubis5260%0.9214.6
Overpass3839%0.7812.7
Dust21839%0.6411.1

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.

14.5%Headshot accuracy
40.5%Accuracy (enemy spotted)
41.9%Spray accuracy
81.7%Counter-strafing
10.4°Preaim
595msReaction time
27.7%T opening success
44.0%CT opening success
0.46Enemies flashed / flash
3.1%Flash assists
5.22HE damage / grenade
5.09Flashes / 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 14.5001% — below the 15% 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 0.4555 — 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 27.6911% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–110.0320%25 Aug
nuke13–20.0033%25 Aug
boulder13–8-0.0121%23 Aug
nuke6–130.028%23 Aug
anubis13–50.0619%23 Aug
cache13–7-0.0435%23 Aug
mirage6–13-0.0719%23 Aug
inferno5–13-0.0617%13 Aug
anubis13–3-0.0014%13 Aug
nuke9–130.0120%13 Aug
anubis13–30.0222%13 Aug
cache13–100.0714%13 Aug
nuke9–130.0924%13 Aug
mirage9–0-0.0817%13 Aug
mirage4–13-0.038%10 Jul
inferno11–13-0.0213%10 Jul
ancient8–130.047%10 Jul
cache4–110.0717%10 Jul
ancient13–50.1317%10 Jul
anubis3–13-0.0514%9 Jul
cache13–2-0.053%26 Jun
anubis11–130.046%26 Jun
mirage13–50.0413%26 Jun
dust213–8-0.0122%26 Jun
ancient13–8-0.067%12 Jun
inferno13–7-0.054%10 Jun
mirage10–13-0.0114%9 Jun
ancient4–13-0.045%8 Jun
anubis9–13-0.023%5 Jun
overpass9–13-0.056%5 Jun
ancient17–19-0.0210%4 Jun
vertigo12–120.0520%4 Jun
vertigo11–13-0.0812%4 Jun
vertigo0–5-0.0914%4 Jun
ancient14–160.0310%3 Jun
cache11–13-0.0414%3 Jun
overpass9–13-0.0210%2 Jun
anubis13–110.047%2 Jun
cache11–13-0.0919%2 Jun
inferno8–13-0.026%2 Jun
cache3–13-0.0024%2 Jun
cache13–50.0912%2 Jun
nuke13–7-0.0515%1 Jun
anubis13–6-0.049%1 Jun
anubis13–11-0.0013%28 May
cache10–13-0.069%27 May
nuke13–20.0920%23 May
inferno2–5-0.0320%23 May
nuke8–130.0113%23 May
inferno5–13-0.058%23 May
cache13–7-0.006%21 May
office6–13-0.0410%21 May
office8–13-0.1125%21 May
ancient16–13-0.047%19 May
inferno7–13-0.037%19 May
cache14–16-0.0417%19 May
cache13–110.0219%18 May
cache2–13-0.0417%15 May
overpass13–90.0419%15 May
cache13–60.019%14 May
poseidon9–30.0820%13 May
nuke11–13-0.065%13 May
inferno11–130.0123%13 May
inferno5–13-0.0721%13 May
office13–20.060%13 May
office12–12-0.0826%13 May
mirage7–13-0.0810%13 May
inferno13–5-0.006%12 May
ancient2–13-0.1011%12 May
inferno2–13-0.0615%9 May
ancient8–13-0.0413%8 May
anubis10–13-0.037%6 May
cache6–13-0.108%6 May
cache13–40.024%6 May
cache5–13-0.0429%5 May
overpass13–9-0.0115%5 May
cache13–4-0.0527%4 May
cache5–13-0.0615%30 Apr
cache3–13-0.0521%30 Apr
ancient13–20.029%29 Apr
cache13–11-0.0210%29 Apr
nuke13–60.0314%28 Apr
ancient4–13-0.0313%28 Apr
inferno6–13-0.0515%28 Apr
nuke10–130.0314%28 Apr
cache13–11-0.0422%25 Apr
anubis8–13-0.0612%25 Apr
overpass14–16-0.0712%24 Apr
inferno13–10-0.0510%24 Apr
ancient13–9-0.085%23 Apr
ancient3–130.0213%23 Apr
dust26–13-0.0219%23 Apr
anubis11–13-0.066%23 Apr
overpass8–0-0.0513%23 Apr
train11–130.0226%21 Apr
inferno10–13-0.0112%21 Apr
inferno16–140.025%21 Apr
vertigo0–9-0.1723%21 Apr
poseidon4–9-0.0117%21 Apr
ancient11–13-0.0710%20 Apr

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 →