svaE

svaE — CS2 Stats

NO76561197989924249[U:1:29658521]Steam profile ↗✓ No bans

1,513Tracked matches59%Win rate2022Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating16,748Purple band · top ~21.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 16,748 -3,822 13 Jan – 25 Oct · 14 days played
16,41321,350peak 21,35013 Jan25 Oct
21,350Peak Premier in tracked matches
27Days played since 2026-01-13

Premier CS Rating

  • 4,602 below peak (21,350)
  • -664 over 30 days · declining
  • Next: Pink band at 20,000 — 3,252 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

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CSDB.GGsvaEPREMIER16,748 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning66
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWLLWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.8pp headshot accuracy · −38ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 492ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 499ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 518ms

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 (+1.5 against its own average).

Aim6.5
Utility4.4
Positioning6.6
Opening Duels4.4

Strong CT-side opener

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

donk

Plays most like donk 86% 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 →

CSDB Rating breakdown

Aim6.5
Positioning6.6
Utility4.4
Mechanics4.7
Opening Duels6.5
Win Impact8.1

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 time511ms−34ms
first ⅓ avg 545ms → last ⅓ avg 511ms
Headshot accuracy20.5%+2.2%
first ⅓ avg 18.3% → last ⅓ avg 20.5%

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

0.12Best match rating · 13–11 · dust2, 21 May →
38%Best headshot accuracy · 8–13 · anubis, 31 May →
328msFastest reaction time · 3–13 · inferno, 18 Sept →
13–2Biggest win · dust2, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–9In matches decided by ≤2 rounds
18Overtime games

Map breakdown

ancientBest map · 65% over 20nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%0.01
ancientS2013–765%0.01
infernoB1910–953%0.01
mirageB157–847%-0.01
anubisC125–742%-0.01
nukeD62–433%-0.03
cacheC52–340%-0.01
train—21–150%-0.01
overpass—10–10%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke 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.

20.9%Headshot accuracy
31.8%Accuracy (enemy spotted)
30.0%Spray accuracy
71.2%Counter-strafing
9.3°Preaim
518msReaction time
52.9%T opening success
58.9%CT opening success
0.51Enemies flashed / flash
3.3%Flash assists
7.78HE damage / grenade
6.05Flashes / match

Recommended for you

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0329%25 Oct →
mirage13–70.0832%25 Oct →
nuke13–16-0.0435%25 Oct →
dust210–13-0.0215%8 Oct →
nuke12–80.0210%8 Oct →
dust213–110.0132%8 Oct →
ancient13–110.007%8 Oct →
ancient13–80.0712%8 Oct →
ancient13–90.0213%3 Oct →
dust29–13-0.0614%3 Oct →
mirage16–130.0330%3 Oct →
anubis11–13-0.0117%3 Oct →
ancient13–40.0519%3 Oct →
mirage10–13-0.0328%3 Oct →
nuke15–15-0.049%3 Oct →
dust213–20.0636%3 Oct →
dust29–130.0113%3 Oct →
inferno9–70.0321%3 Oct →
mirage10–13-0.0528%2 Oct →
anubis15–15-0.0037%1 Oct →
inferno7–13-0.0431%1 Oct →
mirage16–130.0022%1 Oct →
inferno13–80.0327%1 Oct →
dust212–16-0.048%1 Oct →
dust216–130.0232%25 Sept →
cache15–15-0.0312%25 Sept →
mirage13–9-0.019%25 Sept →
ancient13–40.0613%25 Sept →
mirage10–130.0014%25 Sept →
anubis13–90.0214%25 Sept →
cache13–20.0832%19 Sept →
anubis9–130.0312%19 Sept →
dust213–90.0115%19 Sept →
cache16–13-0.0015%19 Sept →
anubis6–13-0.0621%19 Sept →
ancient2–13-0.1015%19 Sept →
mirage13–11-0.0410%19 Sept →
inferno3–130.0318%18 Sept →
ancient4–130.0332%18 Sept →
nuke13–10-0.0727%18 Sept →
anubis13–5-0.0525%12 Sept →
ancient13–60.0019%12 Sept →
anubis13–5-0.0332%12 Sept →
dust213–60.0915%12 Sept →
inferno13–30.0128%11 Sept →
mirage11–13-0.0630%11 Sept →
ancient15–150.0118%11 Sept →
ancient10–13-0.0036%8 Sept →
mirage13–80.0238%8 Sept →
dust27–13-0.009%8 Sept →
inferno7–13-0.0229%8 Sept →
inferno11–13-0.0121%7 Sept →
mirage12–16-0.0321%31 Jul →
cache3–13-0.0535%31 Jul →
inferno13–70.0533%31 Jul →
ancient13–100.0423%31 Jul →
nuke11–130.0231%31 Jul →
cache14–16-0.0420%30 Jul →
anubis8–13-0.0738%31 May →
ancient13–60.0428%31 May →
inferno10–130.0020%21 May →
dust213–110.1230%21 May →
anubis13–7-0.0115%21 May →
nuke2–13-0.0614%19 May →
dust213–110.0122%19 May →
anubis6–13-0.0514%16 May →
anubis15–150.0127%16 May →
inferno13–70.0718%16 May →
inferno8–130.0427%16 May →
dust28–13-0.0218%15 May →
mirage8–13-0.0511%15 May →
ancient13–7-0.0425%14 May →
dust29–13-0.0716%14 May →
inferno13–70.0314%13 May →
ancient13–80.0415%13 May →
mirage10–13-0.0517%13 May →
dust213–110.0519%13 May →
ancient4–130.0335%13 May →
anubis16–140.0711%13 May →
dust213–80.0916%13 May →
inferno14–16-0.0412%8 May →
mirage8–13-0.0319%8 May →
dust211–13-0.0318%17 Apr →
ancient13–90.0117%17 Apr →
inferno13–30.0929%17 Apr →
dust214–160.017%19 Jan →
ancient13–30.0625%19 Jan →
overpass6–13-0.0814%19 Jan →
inferno13–8-0.0114%18 Jan →
dust216–13-0.0512%18 Jan →
inferno13–11-0.0518%17 Jan →
train13–110.0533%17 Jan →
ancient11–13-0.0313%17 Jan →
ancient15–15-0.0313%13 Jan →
ancient13–80.0214%13 Jan →
train6–13-0.0725%13 Jan →
inferno3–13-0.1323%13 Jan →
mirage13–50.0324%13 Jan →
dust213–50.0417%13 Jan →
inferno9–7-0.0215%13 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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