Andri Sveppablanda

Andri Sveppablanda — CS2 Stats

IS76561199495207656[U:1:1534941928]Steam profile ↗✓ No bans

3,564Tracked matches40%Win rate2023Tracked since
4,705Hours in CS75Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating11,764Blue band · top ~45.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
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.

−316Premier CS Rating · 12,080 → 11,764

Rating over time

Premier CS Rating: 11,764 -580 30 Jun – 14 Nov · 31 days played
11,55013,077peak 13,07730 Jun14 Nov
13,275Peak Premier in tracked matches
1,228Highest Faceit ELO seen on CSDB
43Days played since 2026-06-30

Premier CS Rating

  • 1,313 below peak (13,077)
  • -86 over 30 days · steady
  • Next: Purple band at 15,000 — 3,236 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-26
  • Light Blue band first seen 2026-10-26

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate46.2%42.7%43.8%above
Shot accuracy3.6%11.2%12.0%8.4% short
Kill/death ratio0.910.991.020.11 short
Match win rate45.7%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAndri SveppablandaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,764 · Blue bandPEAK ELO1,228csdb.gg/stats

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Performance scores

Aim40
Positioning58
Utility49

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateLLLWLLLLWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · −30ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 609ms

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 (+1.8 against its own average).

Aim4.0
Utility4.9
Positioning5.8
Opening Duels3.3
Clutch1.8

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

jL

Plays most like jL 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 612ms 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

Aim4.0
Positioning5.8
Utility4.9
Mechanics5.9
Opening Duels5.1
Win Impact1.7

Composite 4.4/10 (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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time624ms−70ms
first ⅓ avg 694ms → last ⅓ avg 624ms
Headshot accuracy16.1%−2.2%
first ⅓ avg 18.3% → last ⅓ avg 16.1%

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

0.07Best match rating · 13–2 · anubis, 17 Sept →
32%Best headshot accuracy · 2–13 · dust2, 9 Oct →
461msFastest reaction time · 15–15 · inferno, 24 Sept →
13–2Biggest win · dust2, 20 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
8–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 53% over 19dust2Weakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB1910–953%-0.00
mirageC187–1139%-0.04
ancientB157–847%-0.02
infernoC146–843%-0.03
anubisB136–746%-0.01
dust2D133–1023%-0.02
cacheD82–625%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,838Lifetime kills
0.91K/D
4,424Matches
45.7%Match win rate · Top 50% of Level 4 players
46.2%Headshot % · Top 50% of Level 4 players
3.6%Shot accuracy
8,625MVPs
1,740Hours (in match)
4,020Bombs planted
1,056Bombs defused

Most-used weapons

AK-4720,689
AWP6,619
XM10142,146
MAC-101,792
FAMAS1,369
MP71,345

Lifetime map wins

6,435nuke
6,184inferno
5,051dust2
3,316vertigo
522train
184office
5aztec
3bank

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

Faceit stats

Combat

357Matches
50%Win rate
0.94Avg K/D
78.4ADR
46%Headshot %

Clutches & streaks

29%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7438%0.9214.9
Anubis5949%0.9015.3
Ancient5461%1.0215.9
Inferno5042%0.8614.5
Nuke5064%0.9414.7
Vertigo2552%1.0316.2
Dust22352%1.0816.1
Overpass1753%0.9616.1

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.

15.9%Headshot accuracy
28.0%Accuracy (enemy spotted)
23.4%Spray accuracy
76.7%Counter-strafing
10.1°Preaim
612msReaction time
56.0%T opening success
45.2%CT opening success
0.43Enemies flashed / flash
3.9%Flash assists
8.75HE damage / grenade
8.93Flashes / 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 0.4344 — below the 0.5 mark we flag

    Grenade Lineups →
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.

23% win rate across 13 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
mirage6–13-0.057%14 Nov →
nuke9–130.0116%14 Nov →
anubis14–16-0.0624%14 Nov →
inferno13–30.0112%13 Nov →
anubis7–130.0314%12 Nov →
dust211–130.0213%12 Nov →
mirage10–13-0.0218%12 Nov →
mirage13–16-0.059%5 Nov →
dust216–14-0.0327%4 Nov →
ancient9–13-0.0020%4 Nov →
mirage16–14-0.0515%2 Nov →
cache4–13-0.0617%2 Nov →
inferno13–4-0.0317%2 Nov →
ancient13–11-0.0315%1 Nov →
ancient10–130.0618%1 Nov →
cache16–14-0.069%1 Nov →
nuke13–100.0411%31 Oct →
mirage6–13-0.039%31 Oct →
nuke14–16-0.0214%30 Oct →
anubis10–13-0.0117%29 Oct →
nuke13–5-0.0323%29 Oct →
anubis11–13-0.0216%29 Oct →
mirage13–10-0.107%28 Oct →
anubis13–70.0428%28 Oct →
mirage10–13-0.0514%21 Oct →
dust213–4-0.0113%21 Oct →
nuke6–130.0323%20 Oct →
dust213–2-0.0224%20 Oct →
ancient2–13-0.0717%20 Oct →
cache5–13-0.0913%20 Oct →
nuke13–40.0617%20 Oct →
cache13–80.0221%17 Oct →
mirage13–100.0316%16 Oct →
nuke10–130.0213%15 Oct →
mirage13–5-0.0415%14 Oct →
ancient9–13-0.0314%14 Oct →
ancient5–130.0123%14 Oct →
inferno6–13-0.0319%13 Oct →
ancient13–30.0614%13 Oct →
ancient13–80.0017%13 Oct →
ancient3–13-0.0610%10 Oct →
dust22–13-0.0732%9 Oct →
anubis13–3-0.0223%9 Oct →
inferno7–13-0.0314%8 Oct →
dust28–13-0.0115%4 Oct →
ancient9–13-0.038%4 Oct →
mirage8–13-0.0520%4 Oct →
dust29–13-0.0215%3 Oct →
inferno13–7-0.0112%3 Oct →
dust28–13-0.059%3 Oct →
nuke3–130.0018%3 Oct →
inferno7–13-0.0814%2 Oct →
dust29–130.0120%2 Oct →
inferno13–60.0331%2 Oct →
inferno15–15-0.055%24 Sept →
nuke13–6-0.0624%24 Sept →
inferno10–13-0.0125%24 Sept →
inferno6–13-0.1119%24 Sept →
mirage13–20.0113%24 Sept →
dust27–13-0.0311%23 Sept →
ancient13–9-0.0320%23 Sept →
inferno11–13-0.0722%22 Sept →
cache4–13-0.0612%22 Sept →
anubis7–13-0.0215%22 Sept →
nuke9–13-0.0126%17 Sept →
anubis13–20.0711%17 Sept →
dust26–13-0.0225%17 Sept →
mirage6–13-0.0411%16 Sept →
nuke13–9-0.0118%16 Sept →
anubis4–13-0.098%16 Sept →
dust213–16-0.0223%16 Sept →
cache10–13-0.0616%12 Sept →
nuke13–11-0.0223%9 Sept →
ancient13–11-0.0728%9 Sept →
cache8–13-0.068%8 Sept →
nuke13–70.0219%8 Sept →
mirage9–13-0.0218%8 Sept →
inferno13–110.0318%5 Sept →
anubis13–3-0.0013%4 Sept →
mirage10–13-0.0710%4 Sept →
ancient13–80.0219%4 Sept →
mirage7–13-0.094%3 Sept →
anubis9–13-0.0211%3 Sept →
nuke5–13-0.0724%3 Sept →
inferno13–9-0.0420%3 Sept →
nuke16–130.0524%14 Aug →
mirage13–8-0.049%14 Aug →
nuke8–13-0.0629%12 Aug →
nuke13–5-0.0228%11 Aug →
dust210–130.0231%9 Aug →
anubis13–5-0.0015%9 Aug →
mirage11–13-0.0328%8 Aug →
cache8–13-0.0218%8 Aug →
mirage13–9-0.0218%9 Jul →
ancient4–13-0.0913%1 Jul →
nuke13–80.0317%30 Jun →
ancient13–110.0420%30 Jun →
inferno2–13-0.0721%30 Jun →
nuke15–15-0.0625%30 Jun →
anubis13–70.0520%30 Jun →

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 →

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