AngryRossi

AngryRossi — CS2 Stats

NL76561198029562717[U:1:69296989]Steam profile ↗✓ No bans

990Tracked matches43%Win rate2020Tracked since
CSDB Rating3.8 LearningClutch Specialist
Premier CS Rating9,222Light Blue band · top ~58.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,222 +11 17 Jul – 1 Oct · 39 days played
8,51210,658peak 10,65817 Jul1 Oct
10,658Peak Premier in tracked matches
40Days played since 2026-07-15

Premier CS Rating

  • 1,436 below peak (10,658)
  • -777 over 30 days · declining
  • +11 over 90 days
  • Next: Blue band at 10,000 — 778 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-09

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

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CSDB.GGAngryRossiPREMIER9,222 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLLLLWLLWW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −0.5pp headshot accuracy · +30ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 691ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 670ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 654ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.9 against its own average).

Aim4.9
Utility3.7
Positioning5.0
Opening Duels1.1
Clutch8.4

Limited utility dependenceReliable in 1v1s

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 628ms 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

Aim4.9
Positioning5.0
Utility3.7
Mechanics5.7
Opening Duels0.6
Win Impact2.8

Composite 3.8/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time639ms−69ms
first ⅓ avg 708ms → last ⅓ avg 639ms
Headshot accuracy14.2%+0.3%
first ⅓ avg 13.9% → last ⅓ avg 14.2%

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

0.09Best match rating · 15–15 · ancient, 10 Aug →
24%Best headshot accuracy · 7–13 · dust2, 24 Jul →
500msFastest reaction time · 5–13 · dust2, 31 Aug →
13–0Biggest win · dust2, 13 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 63% over 8mirageWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%-0.00
mirageC2510–1540%-0.01
ancientB2110–1148%-0.01
anubisB168–850%-0.02
cacheA85–363%0.01
inferno—20–20%-0.04
nuke—20–20%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
55%Win rate
1.22Avg K/D
75.4ADR
39%Headshot %

Clutches & streaks

62%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.1116.3
Ancient333%0.8413.3
Dust2367%1.1216.0
Anubis250%2.0914.5

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.

14.3%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.0%Spray accuracy
75.6%Counter-strafing
10.4°Preaim
628msReaction time
29.9%T opening success
35.1%CT opening success
0.68Enemies flashed / flash
3.4%Flash assists
4.53HE damage / grenade
2.85Flashes / 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 14.3308% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8476 — below the 4 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 29.9472% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–7-0.048%1 Oct →
mirage5–13-0.107%1 Oct →
ancient9–13-0.0413%25 Sept →
mirage8–130.0118%25 Sept →
mirage3–13-0.0811%24 Sept →
anubis13–11-0.0622%23 Sept →
dust25–13-0.0420%23 Sept →
mirage2–13-0.0816%23 Sept →
mirage13–8-0.0118%17 Sept →
dust213–110.0310%17 Sept →
anubis11–13-0.0415%12 Sept →
cache13–100.0416%12 Sept →
dust28–130.0612%12 Sept →
cache8–130.0115%11 Sept →
mirage13–5-0.0013%11 Sept →
dust213–8-0.0213%11 Sept →
mirage5–130.0323%7 Sept →
ancient13–8-0.0611%3 Sept →
dust29–13-0.0515%3 Sept →
mirage13–70.0314%31 Aug →
dust25–13-0.0410%31 Aug →
mirage3–13-0.0412%28 Aug →
ancient3–13-0.0222%28 Aug →
anubis8–13-0.0615%28 Aug →
ancient16–14-0.0411%27 Aug →
anubis11–13-0.0214%27 Aug →
anubis10–13-0.039%26 Aug →
mirage13–110.0217%25 Aug →
dust213–100.0114%25 Aug →
cache16–130.0418%20 Aug →
dust213–110.0118%20 Aug →
inferno4–13-0.057%20 Aug →
dust213–9-0.0216%18 Aug →
ancient13–80.0118%18 Aug →
anubis13–30.0511%18 Aug →
dust211–130.0121%18 Aug →
dust213–8-0.068%18 Aug →
dust26–13-0.0413%17 Aug →
ancient13–110.0218%17 Aug →
dust213–70.0717%17 Aug →
mirage6–13-0.059%13 Aug →
dust213–00.0219%13 Aug →
dust29–130.0223%12 Aug →
anubis11–13-0.0114%12 Aug →
dust213–50.0619%11 Aug →
ancient15–150.0913%10 Aug →
anubis8–13-0.0511%10 Aug →
ancient8–13-0.0614%9 Aug →
cache14–160.0210%9 Aug →
inferno6–13-0.0212%6 Aug →
dust213–11-0.0119%6 Aug →
ancient11–13-0.0513%6 Aug →
cache13–100.0317%5 Aug →
ancient13–7-0.0317%5 Aug →
dust211–13-0.0213%5 Aug →
anubis13–90.0311%5 Aug →
anubis13–100.0315%4 Aug →
ancient8–130.0416%4 Aug →
ancient11–13-0.0515%3 Aug →
mirage13–80.0122%3 Aug →
anubis7–13-0.037%3 Aug →
anubis13–30.0319%31 Jul →
ancient13–00.0523%31 Jul →
dust215–15-0.0010%31 Jul →
mirage13–80.0511%29 Jul →
dust27–13-0.0417%29 Jul →
cache6–13-0.0711%29 Jul →
mirage9–13-0.038%29 Jul →
mirage13–6-0.0121%28 Jul →
mirage15–15-0.0121%26 Jul →
dust213–40.0422%26 Jul →
ancient11–13-0.0314%26 Jul →
nuke3–13-0.089%24 Jul →
mirage13–6-0.0114%24 Jul →
dust27–13-0.0124%24 Jul →
dust216–14-0.0515%23 Jul →
cache13–2-0.0214%23 Jul →
mirage9–13-0.0112%23 Jul →
mirage10–130.0513%22 Jul →
dust26–130.0516%22 Jul →
nuke11–13-0.0212%21 Jul →
ancient13–7-0.013%21 Jul →
mirage3–13-0.0714%21 Jul →
mirage6–2-0.0111%21 Jul →
anubis7–13-0.098%20 Jul →
ancient10–13-0.0114%20 Jul →
anubis16–130.0012%20 Jul →
ancient15–15-0.0013%19 Jul →
mirage15–15-0.048%19 Jul →
dust213–9-0.0112%19 Jul →
ancient13–8-0.0115%18 Jul →
anubis13–70.0011%18 Jul →
mirage13–160.0516%18 Jul →
mirage16–140.0612%17 Jul →
anubis13–11-0.0311%17 Jul →
dust213–7-0.0119%17 Jul →
ancient13–10.0514%17 Jul →
mirage4–13-0.1216%16 Jul →
cache13–100.0721%16 Jul →
ancient10–130.0015%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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