Tusonov

Tusonov — CS2 Stats

76561198058672388[U:1:98406660]Steam profile ↗✓ No bans

1,642Tracked matches73%Win rate2024Tracked since
1,142Hours in CS
CSDB Rating6.2 SolidPositional Player
FaceitLevel 9 · 1,410 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,410 → 1,410
+4Tracked matches · now 1,642
+10.0ppWin rate · 63.3% → 73.3%

Rating over time

Premier CS Rating: 16,971 +467 23 May – 26 Jun · 2 days played
16,50416,971peak 16,97123 May26 Jun
Faceit ELO: 1,410 +0 29 Aug – 21 Sept · 3 observations
1,4101,410peak 1,41029 Aug21 Sept
17,093Peak Premier in tracked matches
1,410Highest Faceit ELO seen on CSDB
39Days played since 2026-04-28

Faceit ELO

  • At peak — 1,410
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 121 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-29
  • Level 6 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), 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 rate64.5%48.2%50.9%above
Shot accuracy0.1%13.3%13.7%13.6% short
Kill/death ratio1.451.071.09above
Match win rate34.7%46.9%48.4%13.7% 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 ranked30 DAYS0 ELOPEAK ELO1,410csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning57
Utility53

0–100 skill scores via Leetify.

Recent form

HOT49–49–2Last 10049%Win rateWWWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · −7.8pp headshot accuracy · −18ms reaction

Win rate up 40pp 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

  • 5–0 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 10

  • 10–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 603ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 611ms

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 (+1.1 against its own average).

Aim7.9
Utility5.3
Positioning5.7
Opening Duels3.3
Clutch4.2

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 97% playstyle similarity

Most alike: utility contribution, positioning 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. 612ms 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

Aim7.9
Positioning5.7
Utility5.3
Mechanics8.0
Opening Duels3.7
Win Impact10.0

Composite 6.2/10 (Solid), 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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time607ms−17ms
first ⅓ avg 625ms → last ⅓ avg 607ms
Headshot accuracy18.7%+5.0%
first ⅓ avg 13.7% → last ⅓ avg 18.7%

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 · 13–5 · ancient, 10 Jul →
36%Best headshot accuracy · 7–13 · mirage, 6 Sept →
438msFastest reaction time · 9–0 · mirage, 13 Aug →
13–2Biggest win · overpass, 11 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W11Current streak
8–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
cacheB2312–1152%-0.01
infernoD144–1029%-0.03
anubisS128–467%0.01
ancientB126–650%-0.01
nukeB115–645%0.02
mirageC83–538%-0.03
overpassA53–260%-0.01
dust2—44–0100%-0.01
office—41–325%-0.04
vertigo—30–30%-0.04
boulder—22–0100%0.03
train—10–10%-0.07
poseidon—11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,287Lifetime kills
1.45K/D · Top 10% of Level 9 players
2,749Matches
34.7%Match win rate
64.5%Headshot % · Top 5% of Level 9 players
0.1%Shot accuracy
4,508MVPs
1,142Hours (in match)
1,720Bombs planted
501Bombs defused

Most-used weapons

AK-4746,533
AWP8,619
MP91,242
Knife1,166

Lifetime map wins

4,289inferno
3,085nuke
1,624dust2
528train
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.

18.7%Headshot accuracy
39.7%Accuracy (enemy spotted)
41.1%Spray accuracy
86.0%Counter-strafing
10.6°Preaim
612msReaction time
48.9%T opening success
40.9%CT opening success
0.61Enemies flashed / flash
8.2%Flash assists
7.78HE damage / grenade
7.16Flashes / match

Recommended for you

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.068%10 Oct →
mirage13–90.0020%10 Oct →
inferno19–16-0.0413%9 Oct →
dust213–10-0.0114%9 Oct →
anubis13–9-0.0116%11 Sept →
dust213–80.0616%11 Sept →
overpass13–2-0.0314%11 Sept →
nuke13–20.0719%11 Sept →
cache13–110.0514%11 Sept →
ancient13–80.0318%11 Sept →
boulder5–30.0714%11 Sept →
nuke8–13-0.0214%9 Sept →
inferno6–13-0.0328%9 Sept →
cache13–50.0721%9 Sept →
mirage7–13-0.0536%6 Sept →
train10–13-0.0716%5 Sept →
ancient13–9-0.0422%5 Sept →
anubis13–90.1025%5 Sept →
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 →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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