Rassy

Rassy — CS2 Stats

US76561198150460340[U:1:190194612]Steam profile ↗✓ No bans

3,759Tracked matches71%Win rate2022Tracked since
2,926Hours in CS13Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+52Tracked matches · now 3,759
−1.0ppWin rate · 72.4% → 71.4%

Rating over time

21Days played since 2026-08-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches56——
Win rate63%——
K/D0.74——
Headshot %39%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim50
Positioning47
Utility13

0–100 skill scores via Leetify.

Recent form

HOT66–28–6Last 10066%Win rateWWWWWLWWWT

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +2.3pp headshot accuracy · +78ms 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

  • 5–0 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 675ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 609ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

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 (+2.5 against its own average).

Aim5.0
Utility1.3
Positioning4.7
Opening Duels0.7

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

iM

Plays most like iM 81% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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.

Reaction time. 562ms 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

Aim5.0
Positioning4.7
Utility1.3
Mechanics5.0
Opening Duels1.2
Win Impact10.0

Composite 4.5/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time564ms+8ms
first ⅓ avg 556ms → last ⅓ avg 564ms
Headshot accuracy14.8%+2.3%
first ⅓ avg 12.6% → last ⅓ avg 14.8%

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

0.11Best match rating · 11–0 · train, 17 Aug →
30%Best headshot accuracy · 13–1 · dust2, 1 Oct →
359msFastest reaction time · 4–13 · office, 13 Aug →
13–1Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

14Longest win streak
W5Current streak
6–3In matches decided by ≤2 rounds

Map breakdown

fachwerkBest map · 100% over 5vertigoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA169–756%-0.04
officeB157–847%-0.02
mirageS129–375%-0.01
infernoS107–370%-0.03
vertigoC83–538%-0.04
anubisS75–271%-0.02
shelterS75–271%-0.01
trainS64–267%0.00
fachwerkS55–0100%-0.01
boulder—43–175%-0.06
dust2—33–0100%-0.04
overpass—32–167%-0.06
ancient—33–0100%-0.01
nuke—11–0100%-0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,287Lifetime kills
0.90K/D
6,628Matches
54.6%Match win rate · Top 10% of tracked players
34.1%Headshot %
5.1%Shot accuracy
7,296MVPs
1,709Hours (in match)
2,750Bombs planted
546Bombs defused

Most-used weapons

Negev33,706
SG 5537,697
AUG6,558
G3SG14,135
SCAR-202,746
AK-472,426
P901,841

Lifetime map wins

5,800dust2
5,255inferno
4,557nuke
3,661vertigo
3,315office
1,157train
482italy
176cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.9%Headshot accuracy
24.3%Accuracy (enemy spotted)
43.5%Spray accuracy
72.5%Counter-strafing
10.4°Preaim
562msReaction time
33.6%T opening success
35.8%CT opening success
0.07Enemies flashed / flash
1.6%Flash assists
7.17HE damage / grenade
0.51Flashes / 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 14.9041% — 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 0.0718 — 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 33.5593% — below the 40% mark we flag

Spend your practice time on Vertigo

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.009%1 Oct →
dust213–10.0130%1 Oct →
office13–3-0.0424%1 Oct →
anubis13–8-0.0012%1 Oct →
cache13–4-0.0818%1 Oct →
boulder2–13-0.1021%1 Oct →
shelter13–6-0.0411%26 Sept →
office13–7-0.0512%26 Sept →
vertigo13–9-0.0111%26 Sept →
cache12–12-0.0410%26 Sept →
office5–13-0.039%24 Sept →
cache7–13-0.0920%24 Sept →
vertigo6–13-0.059%24 Sept →
train12–12-0.0417%24 Sept →
cache13–3-0.0610%24 Sept →
vertigo13–8-0.0716%24 Sept →
overpass13–9-0.0520%19 Sept →
anubis13–4-0.026%19 Sept →
cache8–13-0.0913%19 Sept →
office13–100.0515%19 Sept →
anubis10–13-0.0819%17 Sept →
inferno4–13-0.078%17 Sept →
office13–6-0.0328%17 Sept →
cache13–30.0516%17 Sept →
train13–110.0624%17 Sept →
office10–13-0.0618%17 Sept →
fachwerk13–90.0213%17 Sept →
fachwerk13–50.025%12 Sept →
mirage13–6-0.0410%12 Sept →
shelter13–4-0.0413%12 Sept →
ancient13–80.0111%12 Sept →
cache6–13-0.0017%12 Sept →
inferno13–5-0.0112%12 Sept →
overpass13–5-0.047%10 Sept →
anubis13–11-0.0610%10 Sept →
inferno13–6-0.0119%10 Sept →
office10–13-0.039%10 Sept →
cache13–3-0.0115%10 Sept →
nuke13–5-0.0513%10 Sept →
office7–13-0.098%10 Sept →
inferno13–6-0.0313%5 Sept →
vertigo11–13-0.106%5 Sept →
cache13–11-0.0315%5 Sept →
inferno9–13-0.089%3 Sept →
overpass12–12-0.1115%3 Sept →
vertigo6–13-0.097%3 Sept →
shelter13–70.0127%3 Sept →
mirage13–4-0.0115%3 Sept →
train12–12-0.0414%3 Sept →
office12–12-0.0413%3 Sept →
cache13–9-0.054%3 Sept →
cache4–13-0.0318%31 Aug →
cache10–20.0226%29 Aug →
shelter13–20.0117%29 Aug →
fachwerk13–3-0.0213%29 Aug →
mirage8–20.003%29 Aug →
train13–11-0.0618%29 Aug →
boulder13–6-0.0720%29 Aug →
dust213–5-0.0718%27 Aug →
mirage13–4-0.1114%27 Aug →
mirage13–30.0511%27 Aug →
office13–5-0.039%27 Aug →
dust213–5-0.0515%27 Aug →
cache13–11-0.055%27 Aug →
mirage13–50.0512%27 Aug →
fachwerk13–90.0114%22 Aug →
office5–130.0017%22 Aug →
vertigo9–130.009%22 Aug →
inferno4–10.0323%22 Aug →
mirage10–130.0712%22 Aug →
cache13–90.0018%22 Aug →
shelter10–13-0.0118%20 Aug →
office6–130.0212%19 Aug →
mirage7–00.038%19 Aug →
inferno13–9-0.0116%19 Aug →
anubis7–13-0.0015%18 Aug →
shelter13–10-0.0115%17 Aug →
boulder2–00.000%17 Aug →
vertigo12–12-0.0315%17 Aug →
train11–00.117%17 Aug →
mirage11–13-0.0910%17 Aug →
office13–6-0.0412%17 Aug →
anubis13–30.0514%15 Aug →
inferno10–13-0.034%15 Aug →
train13–4-0.0111%15 Aug →
cache11–13-0.0819%15 Aug →
mirage13–80.0517%15 Aug →
boulder13–6-0.0714%13 Aug →
mirage6–13-0.079%13 Aug →
ancient13–6-0.049%13 Aug →
fachwerk13–9-0.0710%13 Aug →
shelter9–13-0.0118%13 Aug →
anubis13–8-0.0014%13 Aug →
office4–130.0116%13 Aug →
cache2–13-0.1011%13 Aug →
vertigo13–80.0115%11 Aug →
mirage13–70.0215%11 Aug →
office13–70.0717%11 Aug →
ancient13–9-0.0111%10 Aug →
inferno6–2-0.070%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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