BLOKK /

BLOKK / — CS2 Stats

AT76561199310325550[U:1:1350059822]Steam profile ↗✓ No bans

1,190Tracked matches29%Win rate2022Tracked since
4,624Hours in CS
CSDB Rating3.0 LearningSupport
Premier CS Rating4,096Grey band · top ~82.6% of ranked players (population est.)
FaceitLevel 2 · 806 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−190Premier CS Rating · 4,286 → 4,096

Rating over time

Premier CS Rating: 4,096 -2,117 29 Aug – 1 Nov · 16 days played
4,0966,228peak 6,22829 Aug1 Nov
Faceit ELO: 806 +0 29 Aug – 1 Sept · 3 observations
806806peak 80629 Aug1 Sept
6,228Peak Premier in tracked matches
806Highest Faceit ELO seen on CSDB
13Days played since 2026-08-29

Faceit ELO

  • At peak — 806
  • Next: Level 4 at 901 — 95 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-29
  • Level 2 first seen 2026-08-29

Premier CS Rating

  • 2,132 below peak (6,228)
  • Next: Light Blue band at 5,000 — 904 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-29

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate46.6%41.3%41.8%above
Shot accuracy2.7%12.7%12.2%9.4% short
Kill/death ratio0.530.950.980.45 short
Match win rate11.1%42.6%43.3%32.2% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBLOKK /FACEITLevel 2 · 806 ELOSTANDINGTop 97.9% of rankedPREMIER4,096 · Grey bandPEAK ELO806csdb.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

Aim24
Positioning46
Utility52

0–100 skill scores via Leetify.

Recent form

COLD34–61–5Last 10034%Win rateLLLLTWLWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.4pp headshot accuracy · −81ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 600ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 628ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 668ms

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 (+1.7 against its own average).

Aim2.4
Utility5.2
Positioning4.6
Opening Duels0.8
Clutch3.4

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

NiKo

Plays most like NiKo 57% 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. 654ms 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

Aim2.4
Positioning4.6
Utility5.2
Mechanics4.6
Opening Duels2.3
Win Impact0.0

Composite 3.0/10 (Learning), 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-0.03+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time653ms−19ms
first ⅓ avg 672ms → last ⅓ avg 653ms
Headshot accuracy9.8%−1.2%
first ⅓ avg 11.1% → last ⅓ avg 9.8%

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

0.13Best match rating · 13–5 · anubis, 31 Oct →
27%Best headshot accuracy · 5–13 · dust2, 31 Oct →
453msFastest reaction time · 10–13 · inferno, 23 Oct →
13–1Biggest win · ancient, 28 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 56% over 9infernoWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%-0.04
infernoD184–1422%-0.03
anubisC146–843%-0.02
mirageD133–1023%-0.06
cacheC114–736%-0.03
ancientC94–544%-0.03
nukeA95–456%-0.03
vertigo—30–30%-0.02
office—20–20%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

298,296Lifetime kills
0.53K/D
21,394Matches
11.1%Match win rate
46.6%Headshot % · Top 25% of Level 2 players
2.7%Shot accuracy
6,220MVPs
4,624Hours (in match)
1,859Bombs planted
584Bombs defused

Most-used weapons

AK-47194,105
AWP7,379
FAMAS2,793
Tec-92,072
MP71,719

Lifetime map wins

15,144dust2
6,447inferno
1,981nuke
1,144vertigo
467train
80office
60italy
2cbble

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

Faceit stats

Combat

775Matches
48%Win rate
1.04Avg K/D
78.7ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage19845%0.9915.1
Inferno10958%1.1315.4
Ancient9243%0.9815.3
Dust28048%0.9814.4
Anubis3247%0.8713.7
Overpass1844%0.8412.9
Nuke1631%0.7813.1
Cache729%1.3019.1

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.

9.5%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.1%Spray accuracy
70.7%Counter-strafing
13.0°Preaim
654msReaction time
43.9%T opening success
34.6%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
8.47HE damage / grenade
9.89Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0043° — above the 12° mark we flag

    Aim Training →
  2. 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 9.4984% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4765 — below the 0.5 mark we flag

    Grenade Lineups →
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.

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.019%1 Nov →
anubis4–130.022%31 Oct →
dust25–13-0.1027%31 Oct →
inferno9–130.036%31 Oct →
ancient15–15-0.056%31 Oct →
mirage13–9-0.079%31 Oct →
inferno6–13-0.109%31 Oct →
anubis13–50.135%31 Oct →
anubis7–13-0.019%31 Oct →
cache6–13-0.058%31 Oct →
mirage6–13-0.044%31 Oct →
nuke13–6-0.056%31 Oct →
mirage7–13-0.093%31 Oct →
inferno9–13-0.0310%31 Oct →
dust28–13-0.0711%30 Oct →
cache13–8-0.044%30 Oct →
inferno7–13-0.055%30 Oct →
nuke0–13-0.049%30 Oct →
anubis8–13-0.0210%30 Oct →
ancient10–13-0.0513%30 Oct →
dust213–8-0.0410%30 Oct →
inferno15–15-0.0216%30 Oct →
mirage11–13-0.0511%30 Oct →
dust213–5-0.079%30 Oct →
anubis5–13-0.108%30 Oct →
inferno2–13-0.0915%29 Oct →
nuke13–9-0.0111%29 Oct →
inferno13–110.0515%29 Oct →
dust211–13-0.037%29 Oct →
dust24–13-0.0420%29 Oct →
ancient13–11-0.089%29 Oct →
anubis13–8-0.0220%29 Oct →
inferno13–50.0411%29 Oct →
anubis7–13-0.0518%29 Oct →
mirage6–13-0.145%28 Oct →
mirage3–13-0.060%28 Oct →
office5–13-0.066%28 Oct →
mirage13–6-0.0315%28 Oct →
mirage11–13-0.035%28 Oct →
office8–13-0.0810%28 Oct →
dust213–8-0.0115%28 Oct →
ancient13–1-0.0014%28 Oct →
cache13–70.0110%28 Oct →
dust27–13-0.0819%25 Oct →
cache11–13-0.029%25 Oct →
ancient2–13-0.016%25 Oct →
dust28–13-0.0515%24 Oct →
ancient13–30.038%23 Oct →
anubis13–10-0.0213%23 Oct →
dust216–14-0.0115%23 Oct →
anubis7–13-0.065%23 Oct →
cache4–13-0.018%23 Oct →
vertigo4–13-0.0511%23 Oct →
dust26–13-0.0321%23 Oct →
cache7–13-0.077%23 Oct →
inferno10–13-0.0016%23 Oct →
nuke5–2-0.0217%23 Oct →
ancient13–80.049%23 Oct →
cache2–13-0.066%22 Oct →
mirage13–70.0314%22 Oct →
mirage5–13-0.0819%22 Oct →
anubis13–110.0311%22 Oct →
inferno10–13-0.017%22 Oct →
inferno15–15-0.053%21 Oct →
cache8–13-0.024%21 Oct →
anubis13–8-0.0415%21 Oct →
inferno11–2-0.0418%21 Oct →
dust20–13-0.100%21 Oct →
ancient12–16-0.088%21 Oct →
dust213–10-0.005%21 Oct →
nuke13–8-0.1012%21 Oct →
anubis15–15-0.0321%21 Oct →
nuke5–13-0.058%21 Oct →
mirage8–13-0.0512%21 Oct →
inferno3–13-0.0710%21 Oct →
vertigo1–13-0.0312%20 Oct →
mirage5–13-0.082%20 Oct →
dust28–13-0.0714%20 Oct →
dust28–130.0215%20 Oct →
dust211–13-0.0314%20 Oct →
cache16–140.019%20 Oct →
nuke13–11-0.0112%20 Oct →
dust213–90.0314%20 Oct →
inferno2–130.000%20 Oct →
dust28–13-0.0519%19 Oct →
inferno5–13-0.1114%19 Oct →
mirage12–12-0.077%19 Oct →
ancient5–13-0.075%19 Oct →
anubis13–6-0.059%19 Oct →
inferno13–7-0.030%19 Oct →
nuke6–13-0.032%19 Oct →
dust213–4-0.0010%19 Oct →
cache5–13-0.0517%19 Oct →
cache13–9-0.0124%19 Oct →
dust25–13-0.0726%19 Oct →
vertigo2–130.023%18 Oct →
inferno13–16-0.0115%18 Oct →
dust213–11-0.0727%18 Oct →
nuke11–130.039%18 Oct →
inferno8–13-0.0313%18 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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