sPYyYyyYYy

sPYyYyyYYy — CS2 Stats

76561198048463004[U:1:88197276]Steam profile ↗✓ No bans

1,662Tracked matches60%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,662 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,573 -4,929 11 Apr – 20 May · 10 days played
21,57326,502peak 26,50211 Apr20 May
27,379Peak Premier in tracked matches
33Days played since 2026-04-11

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

Share this profile

CSDB.GGsPYyYyyYYyFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning73
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLLWWLLLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +3.9pp headshot accuracy · +5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 601ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 598ms

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 (+2.4 against its own average).

Aim7.0
Utility2.6
Positioning7.3
Opening Duels5.7
Clutch4.0

Strong CT-side openerLimited 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

m0NESY

Plays most like m0NESY 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 61% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim7.0
Positioning7.3
Utility2.6
Mechanics5.6
Opening Duels3.9
Win Impact8.3

Composite 6.0/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time593ms−6ms
first ⅓ avg 599ms → last ⅓ avg 593ms
Headshot accuracy12.4%−1.8%
first ⅓ avg 14.3% → last ⅓ avg 12.4%

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

0.10Best match rating · 13–6 · dust2, 7 Aug →
36%Best headshot accuracy · 4–13 · office, 16 May →
422msFastest reaction time · 4–13 · office, 16 May →
13–2Biggest win · mirage, 5 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 67% over 6infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheA2212–1055%0.01
anubisB179–853%0.01
dust2C166–1038%0.01
nukeA149–564%-0.00
ancientB126–650%-0.00
infernoD72–529%-0.02
mirageS64–267%-0.01
overpass—32–167%0.02
office—20–20%-0.08
train—11–0100%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,231Matches
52%Win rate
1.33Avg K/D
83.0ADR
34%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2756%1.2017.8
Ancient2744%1.1817.5
Cache1644%1.0716.4
Dust21553%1.3218.5
Nuke1479%1.3218.3
Mirage1040%0.9214.1
Inferno1050%1.1717.5
Overpass989%1.7721.9

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.

13.1%Headshot accuracy
38.3%Accuracy (enemy spotted)
44.4%Spray accuracy
75.1%Counter-strafing
9.9°Preaim
594msReaction time
30.7%T opening success
60.7%CT opening success
0.27Enemies flashed / flash
3.3%Flash assists
6.91HE damage / grenade
3.38Flashes / 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 13.123% — 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 0.2697 — 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 30.7088% — below the 40% mark we flag

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0217%10 Aug →
anubis11–13-0.056%10 Aug →
ancient10–13-0.0413%10 Aug →
cache13–110.0117%9 Aug →
nuke13–11-0.0316%9 Aug →
anubis8–130.0414%8 Aug →
dust215–190.0114%8 Aug →
ancient5–13-0.0114%7 Aug →
cache5–130.0315%7 Aug →
dust213–60.1014%7 Aug →
anubis9–13-0.0511%7 Aug →
anubis13–50.105%7 Aug →
nuke13–60.039%7 Aug →
dust27–13-0.0614%7 Aug →
anubis13–8-0.015%6 Aug →
inferno16–140.0311%6 Aug →
cache4–13-0.079%6 Aug →
cache14–160.0112%6 Aug →
mirage13–20.0411%5 Aug →
cache13–3-0.0114%5 Aug →
cache7–13-0.0618%5 Aug →
dust210–130.0121%19 Jun →
cache13–6-0.0419%21 May →
train13–5-0.029%21 May →
nuke13–6-0.0310%20 May →
anubis13–40.049%20 May →
mirage13–60.0212%19 May →
cache13–110.0523%19 May →
nuke13–10-0.0211%19 May →
ancient16–14-0.0116%17 May →
office2–10-0.120%16 May →
dust212–120.0314%16 May →
cache13–50.038%16 May →
anubis6–00.027%16 May →
office4–13-0.0536%16 May →
mirage9–13-0.0912%13 May →
ancient13–110.0916%10 May →
cache4–130.0321%10 May →
cache4–13-0.0111%10 May →
ancient11–130.0619%7 May →
cache13–80.008%6 May →
anubis13–50.0111%6 May →
cache13–100.0412%4 May →
cache9–130.0518%3 May →
anubis13–70.0721%3 May →
nuke13–110.0221%3 May →
cache13–60.0217%1 May →
cache13–90.059%1 May →
cache6–13-0.077%30 Apr →
cache9–130.0115%30 Apr →
ancient13–80.0212%28 Apr →
anubis13–90.058%28 Apr →
ancient13–7-0.0415%28 Apr →
ancient6–13-0.0514%28 Apr →
dust24–13-0.0712%26 Apr →
mirage13–11-0.0116%26 Apr →
nuke13–100.0713%26 Apr →
cache13–30.0523%26 Apr →
cache13–90.0213%26 Apr →
cache18–22-0.0110%26 Apr →
anubis9–13-0.0417%26 Apr →
nuke13–90.0213%25 Apr →
dust25–130.0215%25 Apr →
inferno3–13-0.0915%25 Apr →
inferno5–13-0.0117%25 Apr →
ancient11–13-0.045%25 Apr →
ancient13–110.0316%22 Apr →
nuke9–13-0.0218%22 Apr →
anubis12–16-0.0011%22 Apr →
dust29–13-0.0714%22 Apr →
dust213–100.0319%21 Apr →
nuke13–50.0114%21 Apr →
nuke14–160.018%21 Apr →
inferno11–13-0.065%21 Apr →
mirage5–13-0.0316%20 Apr →
dust213–5-0.0117%20 Apr →
anubis8–13-0.0316%20 Apr →
overpass13–110.0621%20 Apr →
dust213–30.079%19 Apr →
inferno13–16-0.0212%19 Apr →
anubis8–20.054%19 Apr →
mirage13–80.0422%18 Apr →
inferno16–120.0210%18 Apr →
anubis13–30.0415%15 Apr →
ancient13–7-0.018%15 Apr →
overpass16–120.0313%15 Apr →
dust213–110.0319%14 Apr →
anubis9–13-0.0918%13 Apr →
anubis7–130.0514%13 Apr →
dust29–130.0116%13 Apr →
nuke10–13-0.0516%13 Apr →
nuke6–13-0.0426%12 Apr →
inferno13–16-0.0413%12 Apr →
dust28–13-0.0313%12 Apr →
nuke13–60.0419%12 Apr →
ancient9–13-0.0419%12 Apr →
nuke7–13-0.0113%11 Apr →
overpass9–13-0.0112%11 Apr →
dust211–130.0613%11 Apr →
dust213–6-0.0311%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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