Blokovi Arena

Blokovi Arena — CS2 Stats

RS76561199623430820[U:1:1663165092]Steam profile ↗✓ No bans

1,147Tracked matches38%Win rate2024Tracked since
1,091Hours in CS88Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating8,040Light Blue band · top ~64.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+366Premier CS Rating · 7,674 → 8,040

Rating over time

Premier CS Rating: 8,040 +3,160 13 Oct – 28 Oct · 16 days played
4,88010,180peak 10,18013 Oct28 Oct
10,738Peak Premier in tracked matches
16Days played since 2026-10-13

Premier CS Rating

  • 2,140 below peak (10,180)
  • Next: Blue band at 10,000 — 1,960 to go
  • Reached: Blue band · Light Blue band

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate43.8%41.8%42.7%above
Shot accuracy0.0%12.2%11.2%11.2% short
Kill/death ratio0.810.980.990.19 short
Match win rate42.7%43.3%43.9%1.2% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBlokovi ArenaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,040 · Light Blue 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

Aim58
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLWLWLLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · +36ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 7%
  • Avg reaction 634ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 645ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 627ms

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 (+1.1 against its own average).

Aim5.8
Utility5.2
Positioning5.6
Opening Duels3.5
Clutch3.8

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

Twistzz

Plays most like Twistzz 84% 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

Areas to improve

Reaction time. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.8
Positioning5.6
Utility5.2
Mechanics3.9
Opening Duels4.7
Win Impact1.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time640ms−28ms
first ⅓ avg 668ms → last ⅓ avg 640ms
Headshot accuracy11.3%−0.6%
first ⅓ avg 12.0% → last ⅓ avg 11.3%

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

0.16Best match rating · 13–6 · mirage, 16 Oct →
30%Best headshot accuracy · 7–13 · dust2, 20 Oct →
461msFastest reaction time · 8–13 · anubis, 20 Oct →
13–2Biggest win · cache, 22 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
anubisB2512–1348%-0.01
mirageA2313–1057%-0.01
dust2A2012–860%-0.00
infernoB115–645%-0.00
ancientS96–367%0.00
cacheB63–350%-0.02
nukeS64–267%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,075Lifetime kills
0.81K/D
1,418Matches
42.7%Match win rate
43.8%Headshot % · Top 50% of Level 3 players
0.0%Shot accuracy
4,192MVPs
505Hours (in match)
1,605Bombs planted
254Bombs defused

Most-used weapons

Lifetime map wins

2,348nuke
1,534inferno
1,034dust2
796vertigo
114train

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

Faceit stats

Combat

52Matches
48%Win rate
0.78Avg K/D
63.2ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2143%0.8113.1
Ancient944%0.7513.0
Inferno838%0.7110.3
Anubis757%0.8912.6
Nuke3100%0.8820.3
Dust2333%0.426.7
Cache1100%0.7512.0

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.

11.4%Headshot accuracy
38.6%Accuracy (enemy spotted)
44.7%Spray accuracy
67.5%Counter-strafing
10.0°Preaim
640msReaction time
47.9%T opening success
49.4%CT opening success
0.64Enemies flashed / flash
7.0%Flash assists
7.18HE damage / grenade
9.68Flashes / 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 11.3988% — 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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.025%28 Oct →
anubis11–13-0.0411%27 Oct →
mirage13–30.0210%27 Oct →
anubis14–160.059%27 Oct →
dust213–70.143%27 Oct →
dust28–13-0.038%26 Oct →
cache14–160.0115%26 Oct →
anubis11–130.007%26 Oct →
ancient13–6-0.0110%26 Oct →
mirage10–13-0.0414%25 Oct →
mirage11–13-0.0310%25 Oct →
dust213–80.056%25 Oct →
mirage3–13-0.0518%25 Oct →
ancient14–160.037%25 Oct →
dust213–8-0.0115%25 Oct →
anubis13–9-0.0111%24 Oct →
ancient16–120.0514%24 Oct →
dust211–13-0.0215%24 Oct →
anubis15–15-0.0117%24 Oct →
cache11–130.0111%23 Oct →
anubis5–13-0.073%23 Oct →
anubis8–13-0.0815%23 Oct →
dust213–10-0.0916%23 Oct →
anubis10–13-0.0213%23 Oct →
mirage5–13-0.016%23 Oct →
nuke13–10-0.0111%23 Oct →
mirage4–13-0.0618%23 Oct →
inferno6–130.018%23 Oct →
dust213–16-0.0521%22 Oct →
anubis13–6-0.0713%22 Oct →
mirage13–90.0513%22 Oct →
dust26–130.0116%22 Oct →
mirage13–60.058%22 Oct →
anubis5–13-0.0715%22 Oct →
anubis13–50.0615%22 Oct →
cache13–2-0.0617%22 Oct →
inferno13–100.0317%21 Oct →
dust213–30.0111%21 Oct →
cache11–13-0.023%21 Oct →
mirage13–8-0.0211%21 Oct →
inferno13–80.0412%21 Oct →
mirage13–2-0.010%21 Oct →
mirage13–90.0215%21 Oct →
inferno11–13-0.0220%21 Oct →
ancient10–80.039%21 Oct →
anubis13–80.019%21 Oct →
nuke5–13-0.037%21 Oct →
inferno9–130.0418%21 Oct →
anubis16–130.0513%21 Oct →
inferno8–13-0.0713%20 Oct →
dust210–13-0.0814%20 Oct →
mirage10–13-0.0221%20 Oct →
cache13–7-0.0015%20 Oct →
anubis8–130.0011%20 Oct →
dust27–13-0.0430%20 Oct →
mirage13–100.0610%19 Oct →
ancient13–6-0.018%19 Oct →
inferno13–5-0.012%19 Oct →
nuke13–80.0810%19 Oct →
dust213–40.0114%19 Oct →
mirage16–14-0.0311%19 Oct →
anubis13–30.039%19 Oct →
inferno13–100.0113%19 Oct →
nuke12–160.0110%19 Oct →
mirage6–13-0.089%19 Oct →
anubis13–90.0412%18 Oct →
mirage13–30.0014%18 Oct →
inferno5–13-0.0620%18 Oct →
ancient11–13-0.0420%18 Oct →
nuke22–200.0214%18 Oct →
anubis13–80.0317%17 Oct →
mirage9–13-0.029%17 Oct →
anubis13–110.045%17 Oct →
dust213–90.0111%17 Oct →
anubis0–13-0.0716%17 Oct →
anubis8–13-0.027%17 Oct →
mirage1–130.0314%17 Oct →
mirage13–7-0.006%17 Oct →
anubis13–3-0.0510%17 Oct →
cache13–9-0.0611%17 Oct →
inferno13–11-0.027%17 Oct →
inferno13–160.0113%16 Oct →
anubis6–0-0.008%16 Oct →
mirage13–4-0.0610%16 Oct →
dust213–8-0.078%16 Oct →
mirage13–60.1611%16 Oct →
dust213–50.0624%15 Oct →
ancient1–13-0.047%15 Oct →
nuke13–110.1111%15 Oct →
mirage13–8-0.065%15 Oct →
dust213–100.0113%14 Oct →
ancient13–110.0312%14 Oct →
dust213–40.0717%14 Oct →
dust213–90.0514%14 Oct →
anubis4–130.0110%14 Oct →
anubis13–100.039%14 Oct →
dust27–13-0.0416%14 Oct →
mirage14–16-0.0414%13 Oct →
dust210–13-0.0612%13 Oct →
anubis15–15-0.0413%13 Oct →

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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