tserppa

tserppa — CS2 Stats

FI76561198342249728[U:1:381984000]Steam profile ↗✓ No bans

1,832Tracked matches53%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating16,566Purple band · top ~22.2% of ranked players (population est.)
FaceitLevel 5 · 1,289 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (6 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: 16,566 +1,567 25 Jul – 9 Oct · 27 days played
14,62217,030peak 17,03025 Jul9 Oct
Faceit ELO: 1,289 +0 30 Aug – 4 Sept · 2 observations
1,2891,289peak 1,28930 Aug4 Sept
17,408Peak Premier in tracked matches
1,289Highest Faceit ELO seen on CSDB
37Days played since 2026-07-25

Faceit ELO

  • At peak — 1,289
  • Next: Level 7 at 1,351 — 62 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-30
  • Level 5 first seen 2026-08-30

Premier CS Rating

  • 464 below peak (17,030)
  • +188 over 30 days · steady
  • +1,567 over 90 days
  • Next: Pink band at 20,000 — 3,434 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.

Share this profile

CSDB.GGtserppaFACEITLevel 5 · 1,289 ELOSTANDINGTop 67.6% of rankedPREMIER16,566 · Purple bandPEAK ELO1,289csdb.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

Aim59
Positioning63
Utility51

0–100 skill scores via Leetify.

Recent form

HOT47–49–4Last 10047%Win rateWWWWWLLWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +4.0pp headshot accuracy · +0ms reaction

Win rate up 40pp 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

  • 5–0 · 100% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 489ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 513ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 513ms

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 (+2.7 against its own average).

Aim5.9
Utility5.1
Positioning6.3
Opening Duels2.0
Clutch1.2

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

ZywOo

Plays most like ZywOo 81% 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 51% on T to 34% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9
Positioning6.3
Utility5.1
Mechanics3.6
Opening Duels3.1
Win Impact6.1

Composite 5.3/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time519ms−45ms
first ⅓ avg 564ms → last ⅓ avg 519ms
Headshot accuracy10.5%−1.2%
first ⅓ avg 11.7% → last ⅓ avg 10.5%

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

0.09Best match rating · 13–4 · dust2, 31 Jul →
23%Best headshot accuracy · 2–13 · anubis, 9 Oct →
391msFastest reaction time · 3–13 · nuke, 26 Aug →
13–1Biggest win · nuke, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
7–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 75% over 8dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC2810–1836%-0.01
nukeS2115–671%-0.02
ancientC167–944%-0.01
anubisC145–936%-0.01
dust2D123–925%-0.03
cacheS86–275%-0.02
mirage—11–0100%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

331Matches
49%Win rate
0.90Avg K/D
76.0ADR
37%Headshot %

Clutches & streaks

26%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke7965%1.0414.7
Inferno6356%0.9115.1
Dust24943%0.8313.7
Ancient4639%0.9516.7
Anubis2623%0.8012.4
Train1759%0.9916.6
Cache1136%0.7712.3
Mirage1030%0.6110.3

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.

10.5%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.3%Spray accuracy
66.0%Counter-strafing
10.0°Preaim
530msReaction time
50.9%T opening success
34.2%CT opening success
0.49Enemies flashed / flash
4.9%Flash assists
10.11HE damage / grenade
5.58Flashes / 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 10.547% — 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 0.4907 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 34.1905% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0211%12 Oct →
dust213–10-0.0611%12 Oct →
nuke13–9-0.0210%11 Oct →
cache13–70.0210%11 Oct →
inferno13–80.0417%11 Oct →
anubis2–130.0223%9 Oct →
anubis5–13-0.0514%9 Oct →
mirage13–4-0.0512%9 Oct →
inferno13–40.0711%9 Oct →
ancient13–60.0610%4 Oct →
anubis10–13-0.005%4 Oct →
cache13–8-0.059%4 Oct →
nuke4–13-0.088%3 Oct →
inferno7–13-0.059%28 Sept →
dust28–13-0.0212%28 Sept →
anubis9–13-0.047%27 Sept →
ancient11–13-0.0216%27 Sept →
inferno13–11-0.045%21 Sept →
nuke13–40.0513%21 Sept →
inferno13–80.046%20 Sept →
dust27–13-0.097%20 Sept →
ancient13–50.0320%20 Sept →
cache16–14-0.0319%20 Sept →
anubis0–13-0.098%11 Sept →
inferno11–13-0.100%11 Sept →
cache13–90.016%11 Sept →
nuke13–50.038%11 Sept →
cache9–13-0.065%10 Sept →
dust27–13-0.0511%10 Sept →
inferno11–13-0.0616%8 Sept →
ancient10–130.0110%6 Sept →
nuke4–13-0.095%6 Sept →
inferno5–13-0.0111%3 Sept →
ancient7–13-0.0816%30 Aug →
nuke13–2-0.0518%30 Aug →
dust22–13-0.0317%26 Aug →
nuke3–13-0.069%26 Aug →
ancient9–13-0.018%25 Aug →
inferno10–130.008%25 Aug →
anubis14–16-0.0711%23 Aug →
anubis10–30.087%21 Aug →
inferno13–90.0620%21 Aug →
inferno11–13-0.0410%18 Aug →
nuke13–11-0.0115%18 Aug →
dust29–13-0.0114%17 Aug →
inferno9–13-0.019%15 Aug →
nuke13–90.038%15 Aug →
anubis13–9-0.0618%15 Aug →
ancient6–13-0.028%15 Aug →
ancient4–13-0.029%14 Aug →
anubis16–13-0.0411%14 Aug →
ancient13–20.0719%14 Aug →
nuke10–13-0.0313%11 Aug →
inferno6–13-0.0612%11 Aug →
inferno13–16-0.019%10 Aug →
inferno13–10-0.0411%9 Aug →
nuke15–15-0.029%9 Aug →
anubis13–110.058%5 Aug →
ancient13–6-0.0312%5 Aug →
nuke3–13-0.0612%4 Aug →
nuke13–1-0.0316%4 Aug →
anubis11–13-0.056%2 Aug →
inferno10–130.037%2 Aug →
ancient13–60.048%2 Aug →
nuke13–5-0.046%2 Aug →
anubis9–13-0.0312%2 Aug →
nuke13–7-0.0013%1 Aug →
inferno7–13-0.0118%1 Aug →
dust213–10-0.0115%1 Aug →
ancient2–13-0.088%1 Aug →
inferno11–13-0.007%31 Jul →
ancient11–130.0312%31 Jul →
dust27–13-0.049%31 Jul →
cache11–130.0111%31 Jul →
inferno4–13-0.0218%31 Jul →
dust215–15-0.0414%31 Jul →
inferno15–15-0.028%31 Jul →
dust213–40.0920%31 Jul →
ancient16–130.008%30 Jul →
inferno13–30.0512%30 Jul →
anubis10–130.038%30 Jul →
nuke13–50.056%30 Jul →
cache13–110.0016%30 Jul →
inferno7–13-0.037%30 Jul →
ancient1–13-0.0818%30 Jul →
inferno3–13-0.0111%30 Jul →
nuke13–50.0714%29 Jul →
inferno13–9-0.0212%29 Jul →
nuke13–9-0.0012%28 Jul →
inferno11–13-0.0518%28 Jul →
inferno13–7-0.0321%28 Jul →
nuke13–11-0.0118%28 Jul →
anubis13–110.0313%28 Jul →
nuke13–10.029%28 Jul →
inferno15–150.029%27 Jul →
dust28–13-0.058%26 Jul →
nuke13–7-0.119%25 Jul →
inferno13–8-0.077%25 Jul →
cache13–1-0.088%25 Jul →
dust26–13-0.055%25 Jul →

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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