Kersti Poska

Kersti Poska — CS2 Stats

EE76561199382682821[U:1:1422417093]Steam profile ↗✓ No bans

1,514Tracked matches56%Win rate2024Tracked since
1,679Hours in CS45Hrs last 2 wks
CSDB Rating7.4 StrongSupport
Premier CS Rating18,452Purple band · top ~14.7% of ranked players (population est.)
FaceitLevel 9 · 1,465 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 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: 18,452 -1,313 1 Sept – 28 Oct · 11 days played
17,72119,765peak 19,7651 Sept28 Oct
19,765Peak Premier in tracked matches
1,465Highest Faceit ELO seen on CSDB
38Days played since 2026-09-01

Faceit ELO

  • At peak — 1,465
  • Next: Level 8 at 1,531 — 66 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • 1,313 below peak (19,765)
  • +18 over 30 days · steady
  • Next: Pink band at 20,000 — 1,548 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate54.2%48.2%50.9%above
Shot accuracy2.4%13.2%13.7%11.3% short
Kill/death ratio1.021.071.090.07 short
Match win rate49.4%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKersti PoskaFACEITLevel 9 · 1,465 ELOSTANDINGTop 20.7% of rankedPREMIER18,452 · Purple bandPEAK ELO1,465csdb.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

Aim84
Positioning66
Utility66

0–100 skill scores via Leetify.

Recent form

COLD56–38–6Last 10056%Win rateTWLWLLWLTL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · +73ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 584ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • 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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim8.4
Utility6.6
Positioning6.6
Opening Duels5.3
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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 570ms 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

Aim8.4
Positioning6.6
Utility6.6
Mechanics7.8
Opening Duels7.0
Win Impact6.9

Composite 7.4/10 (Strong), 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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time573ms−0ms
first ⅓ avg 573ms → last ⅓ avg 573ms
Headshot accuracy22.3%−2.2%
first ⅓ avg 24.4% → last ⅓ avg 22.3%

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

0.22Best match rating · 13–0 · mirage, 21 Sept →
52%Best headshot accuracy · 13–4 · ancient, 1 Oct →
406msFastest reaction time · 13–9 · vertigo, 17 Sept →
13–0Biggest win · cache, 14 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
2–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 69% over 16dust2Weakest map · 50% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA2916–1355%0.04
dust2B2010–1050%0.04
anubisS1611–569%0.05
nukeB105–550%0.07
cacheA85–363%0.02
ancientA74–357%0.03
infernoB63–350%-0.01
vertigo—21–150%-0.00
train—11–0100%0.13
overpass—10–10%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,320Lifetime kills
1.02K/D
2,291Matches
49.4%Match win rate · Top 50% of Level 9 players
54.2%Headshot % · Top 25% of Level 9 players
2.4%Shot accuracy
6,999MVPs
1,252Hours (in match)
1,819Bombs planted
684Bombs defused

Most-used weapons

Lifetime map wins

4,389dust2
3,361inferno
3,125nuke
437vertigo
174train
62office
44lake
29italy

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

Faceit stats

Combat

686Matches
51%Win rate
1.07Avg K/D
82.2ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage21750%1.0115.7
Dust210953%1.1516.4
Nuke8855%1.2016.6
Ancient8343%1.1615.8
Anubis7256%1.0715.7
Inferno7155%0.9915.4
Overpass2556%0.9617.1
Cache2040%0.9615.5

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.

21.7%Headshot accuracy
36.4%Accuracy (enemy spotted)
36.1%Spray accuracy
85.1%Counter-strafing
8.1°Preaim
570msReaction time
67.3%T opening success
48.4%CT opening success
0.54Enemies flashed / flash
9.3%Flash assists
7.69HE damage / grenade
21.44Flashes / match

Recent matches

MapScoreRatingHS%Date
mirage12–120.0422%29 Oct →
mirage13–20.1728%28 Oct →
cache7–130.0533%28 Oct →
anubis13–50.0018%28 Oct →
mirage11–13-0.0011%28 Oct →
cache13–16-0.0419%27 Oct →
anubis13–30.1330%27 Oct →
dust23–13-0.0725%27 Oct →
mirage12–120.0520%27 Oct →
ancient9–130.0722%26 Oct →
inferno8–20.0724%26 Oct →
dust213–70.0126%25 Oct →
nuke7–130.0127%25 Oct →
anubis13–50.0221%25 Oct →
nuke14–16-0.0219%25 Oct →
inferno7–13-0.0119%24 Oct →
anubis8–13-0.0224%24 Oct →
nuke13–80.1331%24 Oct →
mirage13–60.1019%23 Oct →
mirage3–13-0.0333%23 Oct →
dust213–8-0.0529%23 Oct →
mirage13–10-0.058%22 Oct →
mirage9–13-0.0124%22 Oct →
ancient13–20.0231%21 Oct →
mirage13–50.0416%21 Oct →
mirage13–80.0411%21 Oct →
ancient8–13-0.0226%21 Oct →
nuke13–80.1419%20 Oct →
dust212–120.0518%19 Oct →
anubis13–60.0915%19 Oct →
nuke13–70.1023%19 Oct →
mirage12–120.0622%18 Oct →
dust213–30.0323%16 Oct →
inferno13–10-0.0526%16 Oct →
anubis13–110.0621%16 Oct →
anubis13–90.0520%16 Oct →
mirage10–13-0.0235%15 Oct →
mirage11–130.1122%14 Oct →
cache13–00.0531%14 Oct →
dust212–120.0620%13 Oct →
mirage16–120.0221%13 Oct →
nuke9–13-0.0120%10 Oct →
anubis13–8-0.009%10 Oct →
mirage13–90.0220%9 Oct →
dust28–130.0826%9 Oct →
mirage13–90.0917%8 Oct →
ancient1–13-0.0014%8 Oct →
train13–60.1319%8 Oct →
ancient8–10.0523%8 Oct →
dust211–13-0.0028%7 Oct →
dust210–13-0.0833%6 Oct →
mirage13–10.1522%6 Oct →
anubis13–40.0838%6 Oct →
dust29–13-0.0618%6 Oct →
cache13–30.0719%5 Oct →
ancient13–50.0313%5 Oct →
dust213–90.0030%5 Oct →
inferno12–3-0.037%5 Oct →
mirage13–8-0.0224%4 Oct →
dust211–13-0.0117%4 Oct →
anubis7–130.0831%4 Oct →
mirage13–100.1531%3 Oct →
ancient13–40.0552%1 Oct →
cache13–90.0933%1 Oct →
dust211–130.1230%1 Oct →
nuke10–130.0639%30 Sept →
anubis10–130.1521%29 Sept →
inferno10–13-0.0429%29 Sept →
vertigo7–9-0.0218%29 Sept →
mirage5–130.0121%29 Sept →
dust213–80.1619%29 Sept →
nuke13–80.1030%28 Sept →
anubis9–130.0226%28 Sept →
cache13–100.0226%27 Sept →
anubis13–20.1419%27 Sept →
cache13–00.0046%27 Sept →
mirage9–13-0.0612%24 Sept →
mirage13–20.0744%24 Sept →
cache0–13-0.0718%24 Sept →
anubis13–4-0.0110%24 Sept →
anubis13–7-0.0324%23 Sept →
overpass2–80.1119%23 Sept →
dust213–60.1528%22 Sept →
inferno10–13-0.0027%22 Sept →
mirage12–120.1536%22 Sept →
mirage7–13-0.0920%21 Sept →
nuke13–80.0913%21 Sept →
mirage13–00.2222%21 Sept →
dust213–110.1320%21 Sept →
dust213–40.0424%19 Sept →
mirage7–20.0133%19 Sept →
dust213–100.0425%18 Sept →
mirage13–20.0527%18 Sept →
dust213–10.2123%17 Sept →
vertigo13–90.0120%17 Sept →
mirage10–13-0.0928%16 Sept →
mirage13–50.0228%16 Sept →
anubis8–130.0516%15 Sept →
dust28–13-0.0227%15 Sept →
nuke7–130.1328%15 Sept →

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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