Prespy

Prespy — CS2 Stats

76561198880183463[U:1:919917735]Steam profile ↗✓ No bans

152Tracked matches47%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating12,576Blue band · top ~41.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (10 days ago). 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: 12,576 +2,328 28 May – 3 Oct · 2 days played
10,24812,576peak 12,57628 May3 Oct
12,729Peak Premier in tracked matches
43Days played since 2025-05-09

Premier CS Rating

  • At peak — 12,576
  • Next: Purple band at 15,000 — 2,424 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGPrespyPREMIER12,576 · Blue bandcsdb.gg/stats

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Performance scores

Aim79
Positioning54
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWWWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +3.2pp headshot accuracy · −117ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 517ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 489ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 548ms

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 (+1.1 against its own average).

Aim7.9
Utility3.6
Positioning5.4
Opening Duels3.8

Strong T-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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: aim profile, positioning 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.

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

Aim7.9
Positioning5.4
Utility3.6
Mechanics5.5
Opening Duels3.0
Win Impact3.9

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time562ms+29ms
first ⅓ avg 533ms → last ⅓ avg 562ms
Headshot accuracy18.5%+1.9%
first ⅓ avg 16.6% → last ⅓ avg 18.5%

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

0.14Best match rating · 13–6 · train, 5 Apr →
41%Best headshot accuracy · 13–7 · nuke, 16 May →
375msFastest reaction time · 7–2 · cache, 28 Aug →
13–0Biggest win · overpass, 15 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–12In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 62% over 13mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2515–1060%0.01
dust2C2410–1442%0.00
nukeD134–931%-0.00
overpassA138–562%0.02
mirageD82–625%-0.02
cacheB63–350%-0.01
vertigo—41–325%-0.05
anubis—30–30%-0.05
ancient—20–20%-0.01
train—11–0100%0.14
warden—10–10%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

19.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
40.9%Spray accuracy
74.8%Counter-strafing
8.5°Preaim
544msReaction time
48.3%T opening success
35.3%CT opening success
0.48Enemies flashed / flash
9.8%Flash assists
11.40HE damage / grenade
1.44Flashes / 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 0.4766 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 35.3436% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient14–160.0015%3 Oct →
dust213–50.0821%3 Oct →
cache13–30.0626%3 Oct →
inferno13–60.0217%3 Oct →
nuke11–130.0616%28 Aug →
dust213–20.0825%28 Aug →
inferno13–60.0317%28 Aug →
cache7–2-0.0725%28 Aug →
dust25–13-0.1118%23 Aug →
mirage10–130.066%23 Aug →
nuke0–6-0.0114%23 Aug →
dust213–100.0215%23 Aug →
dust211–130.0519%21 Aug →
inferno16–13-0.0521%21 Aug →
dust26–130.0016%17 Aug →
nuke0–2-0.100%17 Aug →
anubis9–13-0.1011%15 Aug →
inferno13–2-0.039%15 Aug →
cache14–16-0.0423%24 Jul →
nuke13–90.0423%24 Jul →
cache8–130.0517%24 Jul →
nuke13–7-0.0241%16 May →
inferno13–10.0622%16 May →
ancient11–13-0.0221%16 May →
inferno13–90.0317%16 May →
dust26–130.0625%2 May →
cache3–13-0.0710%2 May →
cache13–90.0219%2 May →
nuke11–130.0328%25 Apr →
anubis7–13-0.0120%25 Apr →
inferno10–130.1114%25 Apr →
overpass13–40.1222%25 Apr →
dust22–13-0.0518%5 Apr →
train13–60.1436%5 Apr →
inferno13–8-0.0215%5 Apr →
inferno9–13-0.0131%5 Apr →
dust213–50.0217%5 Apr →
inferno13–11-0.0118%15 Mar →
dust213–40.0529%15 Mar →
overpass13–0-0.0122%15 Mar →
nuke13–30.066%15 Mar →
nuke6–130.0116%18 Feb →
dust23–13-0.0420%18 Feb →
dust213–11-0.0425%17 Feb →
nuke12–12-0.0029%17 Feb →
dust29–130.0228%16 Feb →
dust22–13-0.0529%16 Feb →
warden6–130.0036%31 Jan →
inferno13–110.0225%25 Jan →
dust210–13-0.0223%25 Jan →
dust213–70.0923%25 Jan →
inferno8–130.0223%25 Jan →
overpass11–13-0.0314%25 Jan →
nuke7–9-0.040%25 Jan →
vertigo3–9-0.119%25 Jan →
mirage13–10-0.0115%11 Jan →
vertigo8–130.0318%11 Jan →
overpass13–80.008%30 Dec →
nuke13–70.0122%30 Dec →
inferno13–20.0413%30 Dec →
dust213–20.0910%30 Dec →
dust211–130.0720%23 Dec →
inferno4–13-0.1218%23 Dec →
dust213–11-0.0217%23 Dec →
overpass7–130.0134%23 Dec →
mirage10–13-0.045%23 Dec →
anubis3–13-0.0422%27 Nov →
overpass13–60.088%9 Nov →
dust212–12-0.0617%9 Nov →
overpass13–70.0724%7 Nov →
mirage6–13-0.0426%7 Nov →
nuke3–9-0.0431%1 Nov →
inferno13–70.0214%1 Nov →
inferno13–9-0.0231%26 Oct →
overpass13–10-0.0021%26 Oct →
overpass13–70.0716%20 Oct →
mirage5–13-0.004%20 Oct →
dust213–100.0126%20 Oct →
mirage11–13-0.079%6 Oct →
inferno13–10.0813%6 Oct →
inferno13–70.0310%5 Oct →
dust29–130.0211%28 Sept →
vertigo13–4-0.0111%28 Sept →
overpass9–130.0214%18 Sept →
nuke8–13-0.0016%18 Sept →
overpass6–13-0.0214%14 Sept →
overpass6–130.0120%20 Aug →
inferno13–90.0215%29 Jun →
mirage2–13-0.0435%22 Jun →
inferno8–80.1010%20 Jun →
inferno8–13-0.0212%16 Jun →
inferno7–9-0.0610%15 Jun →
inferno4–13-0.0721%12 Jun →
inferno9–130.0220%28 May →
overpass13–8-0.016%26 May →
dust24–13-0.0914%26 May →
mirage13–100.0212%26 May →
inferno12–120.0821%15 May →
vertigo5–13-0.1226%14 May →
dust25–13-0.0612%9 May →

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 →

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