Seisev Piiderdaja

Seisev Piiderdaja — CS2 Stats

EE76561198422718893[U:1:462453165]Steam profile ↗✓ No bans

1,662Tracked matches70%Win rate2021Tracked since
1,745Hours in CS21Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating21,068Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#69831 of 261546 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 21,068 +5,953 26 Aug – 12 Nov · 29 days played
13,28722,346peak 22,34626 Aug12 Nov
22,667Peak Premier in tracked matches
30Days played since 2026-08-26

Premier CS Rating

  • 1,278 below peak (22,346)
  • +7,044 over 30 days · improving
  • +5,953 over 90 days
  • Next: Red band at 25,000 — 3,932 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-11-10
  • Purple band first seen 2026-09-17

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate43.9%43.8%44.8%0.9% short
Shot accuracy8.3%12.0%12.4%4.2% short
Kill/death ratio0.861.021.030.17 short
Match win rate42.2%44.7%45.2%3.0% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSeisev PiiderdajaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER21,068 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71
Positioning44
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY60–38–2Last 10060%Win rateWWWLWLLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.0pp headshot accuracy · +15ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 562ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.1
Utility5.3
Positioning4.4
Opening Duels0.0
Clutch3.6

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

b1t

Plays most like b1t 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 559ms 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

Aim7.1
Positioning4.4
Utility5.3
Mechanics5.9
Opening Duels1.2
Win Impact10.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time554ms−12ms
first ⅓ avg 566ms → last ⅓ avg 554ms
Headshot accuracy16.5%−2.3%
first ⅓ avg 18.9% → last ⅓ avg 16.5%

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

0.11Best match rating · 13–11 · anubis, 22 Oct →
100%Best headshot accuracy · 2–0 · ancient, 25 Sept →
406msFastest reaction time · 9–13 · ancient, 25 Oct →
12–0Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W3Current streak
5–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 71% over 17infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
ancientS1812–667%0.01
nukeA1811–761%-0.02
mirageS1712–571%-0.01
infernoC156–940%-0.01
cacheS128–467%0.00
anubisS128–467%0.01
dust2C73–443%-0.02
office—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,503Lifetime kills
0.86K/D
2,886Matches
42.2%Match win rate
43.9%Headshot % · Top 50% of Level 5 players
8.3%Shot accuracy
4,190MVPs
1,052Hours (in match)
1,588Bombs planted
444Bombs defused

Most-used weapons

Lifetime map wins

3,642nuke
3,257inferno
2,057dust2
2,022vertigo
1,608office
935train
212italy
138cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

161Matches
49%Win rate
1.03Avg K/D
74.9ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3656%0.9914.0
Ancient3145%0.8412.2
Nuke2548%1.1414.5
Dust22055%1.0515.0
Inferno1759%1.3314.2
Anubis1145%0.8812.3
Vertigo838%1.0417.9
Cache743%1.3620.4

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.

17.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.1%Spray accuracy
76.4%Counter-strafing
8.2°Preaim
559msReaction time
36.8%T opening success
32.8%CT opening success
0.57Enemies flashed / flash
4.2%Flash assists
5.22HE damage / grenade
9.20Flashes / 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

    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 36.7725% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0611%12 Nov →
nuke13–4-0.0226%12 Nov →
nuke13–40.0121%11 Nov →
cache9–13-0.0319%11 Nov →
ancient13–8-0.0014%10 Nov →
dust22–13-0.0921%10 Nov →
nuke10–13-0.0618%10 Nov →
ancient13–8-0.0128%9 Nov →
anubis3–13-0.0723%4 Nov →
ancient13–10-0.0314%4 Nov →
mirage7–13-0.0415%4 Nov →
cache7–13-0.1017%2 Nov →
inferno4–13-0.0710%2 Nov →
inferno13–10-0.0714%2 Nov →
ancient13–80.0614%28 Oct →
nuke13–80.0412%28 Oct →
nuke13–6-0.0533%28 Oct →
nuke13–4-0.0416%28 Oct →
inferno13–30.0514%28 Oct →
anubis13–60.0710%28 Oct →
cache13–60.0418%28 Oct →
nuke13–6-0.0513%28 Oct →
anubis13–80.0214%26 Oct →
anubis6–13-0.0211%25 Oct →
nuke13–9-0.0420%25 Oct →
cache13–30.1021%25 Oct →
ancient13–40.0319%25 Oct →
ancient9–13-0.0233%25 Oct →
anubis13–100.036%24 Oct →
mirage12–00.0619%24 Oct →
mirage13–9-0.055%23 Oct →
ancient13–8-0.015%23 Oct →
mirage13–20.069%23 Oct →
anubis13–80.029%23 Oct →
inferno4–90.039%23 Oct →
nuke13–8-0.0212%23 Oct →
ancient13–7-0.0220%23 Oct →
mirage13–60.0411%23 Oct →
cache16–14-0.0111%22 Oct →
mirage13–10.0218%22 Oct →
anubis13–110.1113%22 Oct →
mirage13–5-0.029%22 Oct →
inferno13–50.1021%22 Oct →
cache11–13-0.039%22 Oct →
nuke11–130.0213%21 Oct →
nuke5–130.018%21 Oct →
cache13–30.0516%21 Oct →
cache13–100.0319%19 Oct →
anubis13–10-0.0613%19 Oct →
cache13–5-0.0510%19 Oct →
mirage8–13-0.136%19 Oct →
nuke8–13-0.0413%17 Oct →
anubis13–20.0228%17 Oct →
nuke13–80.0112%17 Oct →
mirage13–2-0.0124%17 Oct →
ancient6–13-0.0221%17 Oct →
nuke9–130.0010%16 Oct →
inferno2–13-0.0117%16 Oct →
dust29–13-0.0316%10 Oct →
mirage3–13-0.0021%10 Oct →
inferno9–13-0.0517%9 Oct →
mirage13–10-0.0722%9 Oct →
office8–13-0.0122%30 Sept →
cache5–13-0.0318%30 Sept →
inferno13–10-0.0216%30 Sept →
anubis9–13-0.0610%30 Sept →
dust213–11-0.0312%30 Sept →
anubis3–130.0320%26 Sept →
inferno2–6-0.0428%26 Sept →
inferno8–13-0.0217%25 Sept →
ancient2–0-0.01100%25 Sept →
anubis13–50.0221%22 Sept →
ancient15–150.0417%19 Sept →
dust213–4-0.045%19 Sept →
mirage6–13-0.074%19 Sept →
ancient13–60.0420%19 Sept →
ancient11–130.0417%17 Sept →
mirage13–90.0210%17 Sept →
inferno5–13-0.0824%17 Sept →
inferno5–130.0415%17 Sept →
ancient16–130.0114%14 Sept →
nuke10–13-0.0313%14 Sept →
dust27–13-0.0827%14 Sept →
cache13–8-0.0322%9 Sept →
mirage13–8-0.0517%9 Sept →
inferno13–5-0.0310%9 Sept →
mirage13–6-0.0313%9 Sept →
mirage11–130.0815%6 Sept →
ancient10–13-0.0113%6 Sept →
nuke13–30.036%6 Sept →
cache13–70.0614%6 Sept →
ancient13–4-0.0013%2 Sept →
dust213–50.1120%2 Sept →
dust27–130.0123%2 Sept →
inferno13–10.0621%2 Sept →
ancient15–15-0.0017%31 Aug →
nuke13–11-0.0014%26 Aug →
mirage13–40.0123%26 Aug →
nuke6–13-0.0625%26 Aug →
inferno2–13-0.077%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.