играю плохо (влюбился)

играю плохо (влюбился) — CS2 Stats

76561198393220410[U:1:432954682]Steam profile ↗✓ No bans

199Tracked matches54%Win rate2025Tracked since
310Hours in CS
CSDB Rating5.4 DevelopingClutch Specialist
WingmanSilver II
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 9 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,345 +366 9 Apr26 Apr · 7 days played
14,89416,345peak 16,3459 Apr26 Apr
16,595Peak Premier in tracked matches
25Days played since 2026-04-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim75
Positioning45
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY50419Last 10050%Win rateLWWLWWWWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −2.8pp headshot accuracy · −82ms 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

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 541ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

Last 20

  • 992 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim7.5
Utility2.4
Positioning4.5
Opening Duels2.5
Clutch5.4

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.

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

ropz

Plays most like ropz 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim7.5
Positioning4.5
Utility2.4
Mechanics7.3
Opening Duels2.1
Win Impact6.2

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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time592ms+13ms
first ⅓ avg 580ms → last ⅓ avg 592ms
Headshot accuracy19.1%−0.3%
first ⅓ avg 19.4% → last ⅓ avg 19.1%

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

0.16Best match rating · 9–3 · inferno, 24 Apr
45%Best headshot accuracy · 2–11 · nuke, 8 May
406msFastest reaction time · 2–13 · dust2, 14 Apr
13–0Biggest win · inferno, 24 Apr

Across the last 100 tracked matches.

Highlights

4Longest win streak
24In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 88% over 8ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA24141058%-0.00
dust2C1771041%-0.02
nukeD1551033%-0.02
overpassB84450%0.01
anubisS87188%0.02
infernoB84450%0.05
ancientD72529%-0.02
cacheS54180%-0.01
trainA53260%0.02
vertigo2020%-0.06
stronghold1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,135Lifetime kills
1.35K/D · Top 10% of tracked players
985Matches
42.6%Match win rate
28.7%Headshot %
13.4%Shot accuracy · Top 50% of tracked players
2,131MVPs
310Hours (in match)
364Bombs planted
117Bombs defused

Most-used weapons

AK-478,286
AWP2,831
Molotov704
P250605
Knife461
AUG300

Lifetime map wins

1,317inferno
1,251dust2
305nuke
276cbble
274train
164lake
66safehouse
55vertigo

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

Faceit stats

Combat

35Matches
46%Win rate
1.48Avg K/D
97.4ADR
45%Headshot %

Clutches & streaks

47%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1331%1.3918.5
Inferno633%1.1116.0
Dust2475%1.3824.3
Anubis475%1.8023.3
Cache367%2.8525.7
Ancient333%0.8514.3
Nuke250%1.6217.5

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.

19.1%Headshot accuracy
35.8%Accuracy (enemy spotted)
31.4%Spray accuracy
82.6%Counter-strafing
7.7°Preaim
601msReaction time
24.3%T opening success
46.9%CT opening success
0.28Enemies flashed / flash
1.6%Flash assists
5.20HE damage / grenade
3.68Flashes / 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. 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 0.2781 — below the 0.5 mark we flag

    Grenade Lineups
  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 24.3342% — below the 40% mark we flag

Spend your practice time on Ancient

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 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0713%24 May
overpass13–90.0417%10 May
anubis13–11-0.0126%10 May
nuke2–110.1145%8 May
overpass13–6-0.0117%6 May
mirage13–3-0.046%6 May
dust213–50.0410%6 May
inferno13–80.0513%6 May
mirage8–130.0018%2 May
nuke3–13-0.0725%2 May
overpass8–13-0.0626%2 May
ancient12–12-0.0116%2 May
cache13–6-0.0219%30 Apr
vertigo12–12-0.0716%30 Apr
train10–130.0624%30 Apr
nuke9–13-0.0114%30 Apr
dust27–130.0030%30 Apr
train13–6-0.0624%29 Apr
ancient5–13-0.0223%29 Apr
cache13–40.0328%29 Apr
cache6–130.0014%29 Apr
cache13–6-0.0134%29 Apr
cache13–6-0.0426%28 Apr
dust27–13-0.0319%28 Apr
anubis13–100.0617%28 Apr
overpass5–13-0.0514%28 Apr
dust213–6-0.046%28 Apr
mirage13–90.0314%27 Apr
dust22–13-0.0513%27 Apr
overpass13–90.0215%27 Apr
anubis13–4-0.0015%26 Apr
nuke5–13-0.0421%26 Apr
dust213–10-0.0013%26 Apr
ancient13–110.0124%26 Apr
mirage8–13-0.0417%26 Apr
ancient2–13-0.0412%26 Apr
inferno12–120.0612%26 Apr
nuke12–12-0.0324%26 Apr
mirage13–30.039%26 Apr
dust28–13-0.0331%26 Apr
nuke13–70.0421%26 Apr
dust28–130.0118%26 Apr
mirage13–9-0.0716%26 Apr
ancient7–13-0.0319%26 Apr
overpass13–80.0715%25 Apr
mirage10–13-0.046%25 Apr
inferno13–9-0.0033%25 Apr
ancient13–5-0.0120%25 Apr
nuke3–13-0.0015%25 Apr
stronghold9–13-0.0519%24 Apr
inferno9–30.1632%24 Apr
vertigo12–12-0.0617%24 Apr
inferno13–00.0114%24 Apr
nuke12–12-0.0720%24 Apr
train13–30.0719%24 Apr
dust213–100.0131%24 Apr
mirage13–10-0.0520%24 Apr
dust213–5-0.0117%24 Apr
mirage4–13-0.0514%23 Apr
dust213–7-0.0123%23 Apr
mirage13–50.0118%22 Apr
anubis8–2-0.0036%21 Apr
dust21–6-0.0533%19 Apr
mirage13–9-0.0423%17 Apr
nuke13–8-0.0711%17 Apr
mirage13–30.0421%17 Apr
mirage13–9-0.0020%17 Apr
dust23–13-0.0122%17 Apr
overpass11–130.0632%16 Apr
inferno11–130.0826%16 Apr
nuke9–13-0.0126%16 Apr
anubis13–70.0619%15 Apr
mirage12–120.0222%15 Apr
train13–60.0410%15 Apr
mirage13–70.0426%14 Apr
train6–13-0.026%14 Apr
nuke12–12-0.0514%14 Apr
dust22–13-0.0724%14 Apr
dust28–130.0041%13 Apr
ancient6–13-0.0311%13 Apr
mirage11–13-0.1012%13 Apr
mirage12–12-0.0316%12 Apr
dust213–3-0.0111%12 Apr
inferno7–130.0320%12 Apr
mirage13–6-0.0314%12 Apr
anubis10–13-0.0027%12 Apr
nuke13–7-0.0132%11 Apr
inferno10–13-0.0023%11 Apr
nuke13–3-0.033%11 Apr
mirage13–10.0931%10 Apr
overpass6–130.0215%10 Apr
nuke11–13-0.029%10 Apr
mirage10–130.1523%10 Apr
anubis13–40.1025%10 Apr
mirage6–13-0.0525%9 Apr
anubis13–9-0.078%9 Apr
nuke13–8-0.0122%9 Apr
mirage13–30.0619%9 Apr
mirage9–13-0.0510%9 Apr
mirage13–80.0419%9 Apr

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 →