Kārlis Streitaps

Kārlis Streitaps — CS2 Stats

KW76561199114119795[U:1:1153854067]Steam profile ↗✓ No bans

876Tracked matches45%Win rate2021Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating16,590Purple band · top ~22.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+91Premier CS Rating · 16,499 → 16,590

Rating over time

Premier CS Rating: 16,590 -2,348 25 Apr – 14 Nov · 36 days played
16,49921,868peak 21,86825 Apr14 Nov
22,092Peak Premier in tracked matches
1,620Highest Faceit ELO seen on CSDB
46Days played since 2026-04-25

Faceit ELO

  • At peak — 1,620
  • Next: Level 9 at 1,751 — 131 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-10-19
  • Level 7 first seen 2026-10-19

Premier CS Rating

  • 5,278 below peak (21,868)
  • -1,465 over 30 days · declining
  • -3,409 over 90 days
  • Next: Pink band at 20,000 — 3,410 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-19
  • Blue band first seen 2026-10-19

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.GGKārlis StreitapsPREMIER16,590 · Purple bandPEAK ELO1,620csdb.gg/stats

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Performance scores

Aim64
Positioning75
Utility40

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateWWLLLLLLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · +17ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 549ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 573ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 564ms

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).

Aim6.4
Utility4.0
Positioning7.5
Opening Duels7.1
Clutch4.4

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

s1mple

Plays most like s1mple 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 82% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 82% on T to 58% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 67% 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

Aim6.4
Positioning7.5
Utility4.0
Mechanics3.7
Opening Duels8.5
Win Impact3.3

Composite 5.8/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time547ms−74ms
first ⅓ avg 621ms → last ⅓ avg 547ms
Headshot accuracy14.8%−6.3%
first ⅓ avg 21.1% → last ⅓ avg 14.8%

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 · 8–13 · anubis, 13 Nov →
100%Best headshot accuracy · 2–13 · cache, 10 May →
398msFastest reaction time · 9–13 · cache, 4 Oct →
13–1Biggest win · cache, 6 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
6–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 88% over 8infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%0.00
cacheC197–1237%-0.01
mirageB158–753%-0.01
infernoD134–931%-0.01
ancientA127–558%0.01
anubisA116–555%0.01
nukeS87–188%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

142Matches
57%Win rate
0.94Avg K/D
79.0ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3962%0.8915.9
Ancient2255%1.0216.4
Dust22250%0.9616.9
Inferno1362%0.9514.8
Nuke1155%0.8914.8
Train3100%1.3117.0
Overpass2100%0.7012.0
Anubis1100%1.0016.0

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.

14.5%Headshot accuracy
35.7%Accuracy (enemy spotted)
34.5%Spray accuracy
66.7%Counter-strafing
8.2°Preaim
540msReaction time
82.5%T opening success
58.0%CT opening success
0.66Enemies flashed / flash
3.0%Flash assists
7.68HE damage / grenade
5.49Flashes / 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 14.4977% — below the 15% mark we flag

    Aim Training →
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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.009%14 Nov →
ancient13–9-0.0110%14 Nov →
anubis9–130.0413%14 Nov →
anubis8–130.1113%13 Nov →
dust211–130.0216%12 Nov →
mirage6–13-0.0612%9 Nov →
mirage10–130.0313%9 Nov →
inferno2–13-0.0415%6 Nov →
dust24–13-0.069%6 Nov →
dust213–3-0.0116%5 Nov →
anubis13–90.008%20 Oct →
cache9–13-0.0111%20 Oct →
mirage14–16-0.005%18 Oct →
dust213–60.1117%18 Oct →
inferno11–130.0225%12 Oct →
anubis16–14-0.0515%12 Oct →
inferno13–9-0.0411%11 Oct →
anubis10–130.0226%11 Oct →
mirage9–13-0.0618%10 Oct →
dust215–150.0113%10 Oct →
inferno13–30.0516%10 Oct →
inferno10–13-0.0511%7 Oct →
cache9–13-0.0117%4 Oct →
cache13–5-0.0110%4 Oct →
nuke13–3-0.0324%3 Oct →
inferno7–13-0.0413%3 Oct →
mirage13–9-0.068%27 Sept →
dust213–60.0713%27 Sept →
dust27–130.0527%22 Sept →
dust213–70.0227%14 Sept →
cache11–13-0.0219%14 Sept →
dust29–13-0.0417%8 Sept →
ancient10–13-0.0112%6 Sept →
ancient13–90.0015%6 Sept →
inferno10–13-0.018%2 Sept →
inferno13–60.0816%25 Aug →
ancient3–13-0.050%25 Aug →
dust213–20.0236%24 Aug →
ancient9–13-0.0020%24 Aug →
ancient9–130.0415%24 Aug →
mirage14–160.0318%23 Aug →
dust213–11-0.0818%23 Aug →
cache4–13-0.0228%23 Aug →
ancient13–5-0.0121%18 Aug →
cache11–13-0.0312%18 Aug →
mirage13–30.0825%18 Aug →
dust213–11-0.0016%18 Aug →
ancient13–160.0214%11 Aug →
cache13–90.0330%11 Aug →
inferno15–15-0.0214%6 Aug →
anubis14–160.0119%6 Aug →
inferno6–13-0.0036%3 Aug →
ancient13–9-0.0113%3 Aug →
mirage13–60.0514%3 Aug →
mirage13–10-0.0412%3 Aug →
cache13–110.0022%3 Aug →
dust26–130.0521%26 Jul →
anubis5–13-0.065%26 Jul →
dust213–2-0.0320%26 Jul →
cache11–13-0.0614%26 Jul →
dust28–130.0420%26 Jul →
ancient13–30.0221%26 Jul →
cache13–60.0424%25 Jul →
ancient13–40.0816%25 Jul →
dust23–13-0.0418%25 Jul →
cache9–13-0.0319%20 Jul →
nuke13–100.0619%15 Jul →
cache2–13-0.0414%15 Jul →
inferno16–140.0330%5 Jul →
dust210–13-0.0217%5 Jul →
dust28–13-0.0822%24 Jun →
dust29–13-0.0422%20 Jun →
mirage13–90.0219%20 Jun →
mirage2–13-0.0714%20 Jun →
anubis13–5-0.0413%16 Jun →
dust213–100.0015%16 Jun →
nuke13–60.0117%11 Jun →
nuke13–90.0629%11 Jun →
anubis13–90.1118%11 Jun →
nuke13–6-0.0610%11 Jun →
nuke13–80.0124%3 Jun →
dust213–90.0621%3 Jun →
inferno8–13-0.0316%26 May →
cache2–13-0.04100%10 May →
anubis13–7-0.054%10 May →
anubis13–40.0621%10 May →
mirage10–13-0.0526%9 May →
mirage13–9-0.0416%9 May →
cache6–13-0.0423%6 May →
cache13–1-0.0519%6 May →
cache13–70.0420%4 May →
cache13–100.0327%4 May →
cache11–130.0616%2 May →
cache12–120.0326%2 May →
mirage13–8-0.0519%28 Apr →
ancient13–80.017%28 Apr →
mirage13–100.0723%28 Apr →
nuke3–130.0219%28 Apr →
nuke13–110.0218%27 Apr →
inferno10–13-0.0211%25 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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