рома спрайт

рома спрайт — CS2 Stats

MH76561199519005500[U:1:1558739772]Steam profile ↗✓ No bans

1,277Tracked matches52%Win rate2023Tracked since
CSDB Rating6.1 SolidPositional Player
FaceitLevel 10 · 2,418 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGрома спрайтFACEITLevel 10 · 2,418 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning58
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateLLWWLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · −11ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 642ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 641ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 646ms

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 (+1.7 against its own average).

Aim7.4
Utility4.5
Positioning5.8
Opening Duels2.3
Clutch3.8

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 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 651ms 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

Aim7.4
Positioning5.8
Utility4.5
Mechanics7.5
Opening Duels3.1
Win Impact5.6

Composite 6.1/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time653ms+8ms
first ⅓ avg 644ms → last ⅓ avg 653ms
Headshot accuracy27.0%−2.4%
first ⅓ avg 29.4% → last ⅓ avg 27.0%

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

0.18Best match rating · 9–5 · inferno, 7 Sept →
100%Best headshot accuracy · 5–13 · ancient, 28 Apr →
406msFastest reaction time · 3–13 · mirage, 15 Oct →
13–0Biggest win · mirage, 11 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 54% over 13ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC198–1142%-0.01
anubisD155–1033%0.01
cacheC145–936%0.04
nukeB137–654%0.05
ancientD134–931%0.01
infernoB115–645%0.01
dust2B63–350%-0.03
overpass—33–0100%0.06
office—21–150%-0.00
vertigo—21–150%0.03
train—21–150%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,531Matches
51%Win rate
1.20Avg K/D
84.6ADR
57%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage47353%1.2317.2
Ancient28149%1.2118.4
Dust223348%1.1516.7
Anubis21552%1.1917.6
Nuke11848%1.2918.5
Inferno11554%1.2117.4
Train3842%1.0616.4
Overpass2540%1.2117.7

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.

26.3%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.1%Spray accuracy
83.7%Counter-strafing
9.8°Preaim
651msReaction time
48.6%T opening success
36.4%CT opening success
0.52Enemies flashed / flash
9.1%Flash assists
6.23HE damage / grenade
7.46Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.3775% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0427%14 Nov →
cache12–16-0.0323%13 Nov →
nuke13–40.0433%10 Nov →
nuke9–20.1629%8 Nov →
ancient9–130.0731%6 Nov →
mirage13–100.0221%29 Oct →
mirage7–13-0.115%28 Oct →
nuke13–40.0540%27 Oct →
mirage13–90.0032%24 Oct →
office10–8-0.0613%23 Oct →
mirage6–13-0.0513%23 Oct →
nuke13–80.0130%20 Oct →
dust213–5-0.0543%19 Oct →
ancient13–10.0850%16 Oct →
dust213–110.0336%16 Oct →
mirage12–12-0.0212%15 Oct →
mirage7–13-0.0116%15 Oct →
mirage3–13-0.023%15 Oct →
vertigo9–130.0321%23 Sept →
inferno13–50.0436%10 Sept →
inferno12–120.0533%9 Sept →
inferno9–50.1819%7 Sept →
anubis17–19-0.0214%6 Sept →
cache13–60.1848%1 Sept →
overpass13–70.0825%19 Aug →
anubis13–30.0435%16 Aug →
anubis11–130.0524%16 Aug →
ancient2–13-0.0520%10 Aug →
train3–6-0.1040%6 Aug →
ancient12–120.0330%6 Aug →
inferno0–4-0.2214%21 Jul →
mirage13–90.0033%20 Jul →
cache11–130.0142%9 Jul →
inferno13–80.0440%9 Jul →
dust23–13-0.0617%9 Jul →
nuke13–40.0424%9 Jul →
cache4–130.0211%27 Jun →
mirage6–13-0.0527%24 Jun →
train13–70.0331%23 Jun →
ancient13–70.1030%23 Jun →
anubis0–5-0.0350%20 Jun →
nuke11–130.0838%20 Jun →
mirage2–130.0530%18 Jun →
dust213–8-0.0139%17 Jun →
nuke12–120.1525%15 Jun →
ancient0–20.0250%13 Jun →
cache7–130.0631%12 Jun →
inferno4–9-0.0242%10 Jun →
vertigo13–60.0340%3 Jun →
mirage9–130.0443%30 May →
nuke13–80.0324%27 May →
inferno13–40.0119%27 May →
overpass13–20.0717%27 May →
cache10–130.0425%20 May →
nuke3–80.1325%20 May →
cache13–30.0119%20 May →
mirage13–9-0.1825%19 May →
ancient12–16-0.0126%19 May →
cache13–90.0335%18 May →
overpass13–90.0228%16 May →
ancient16–190.0218%16 May →
nuke16–120.0125%16 May →
ancient13–80.0425%13 May →
mirage13–00.0423%11 May →
mirage13–90.0522%11 May →
anubis13–00.0726%11 May →
cache11–130.1036%10 May →
nuke11–130.0026%8 May →
cache8–130.0747%6 May →
cache12–12-0.0028%5 May →
cache13–00.0638%5 May →
inferno5–13-0.0131%3 May →
cache9–130.0140%30 Apr →
cache13–30.0627%29 Apr →
anubis8–130.0540%28 Apr →
mirage13–60.0526%28 Apr →
ancient5–13-0.08100%28 Apr →
mirage8–13-0.0329%19 Apr →
mirage13–50.0726%15 Apr →
office7–130.0529%15 Apr →
nuke4–13-0.0722%15 Apr →
anubis11–13-0.0728%15 Apr →
ancient13–16-0.0322%10 Apr →
anubis2–13-0.039%4 Apr →
dust24–13-0.0439%2 Apr →
anubis10–130.0639%2 Apr →
ancient22–180.0625%2 Apr →
anubis11–13-0.0417%1 Apr →
anubis5–13-0.0420%30 Mar →
inferno9–130.0117%30 Mar →
inferno20–220.0020%28 Mar →
inferno13–90.0229%24 Mar →
mirage9–13-0.0329%23 Mar →
anubis13–110.0525%23 Mar →
anubis13–11-0.0117%21 Mar →
ancient0–13-0.0829%21 Mar →
mirage7–130.0033%21 Mar →
nuke3–13-0.0318%21 Mar →
anubis13–70.0517%20 Mar →
anubis9–130.0527%18 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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