WBlockeR

WBlockeR — CS2 Stats

76561199104977984[U:1:1144712256]Steam profile ↗✓ No bans

589Tracked matches45%Win rate2025Tracked since
CSDB Rating4.6 DevelopingHybrid Rifler
FaceitLevel 2 · 670 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGWBlockeRFACEITLevel 2 · 670 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning50
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY41509Last 10041%Win rateWWLWLLWLWL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression5.7
Utility3.4
Positioning5.0
Opening Duels1.3
Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 637ms 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

Aim6.5
Positioning5.0
Utility3.4
Mechanics7.8
Opening Duels1.5
Win Impact3.3

Composite 4.6/10 (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-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time642ms−37ms
first ⅓ avg 679ms → last ⅓ avg 642ms
Headshot accuracy17.5%−5.6%
first ⅓ avg 23.2% → last ⅓ avg 17.5%

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.

Highlights

0.30Best rating — inferno 9–1
131Biggest win — dust2
4Longest win streak
W2Current streak
68In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 50% over 14infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%0.02
infernoC1761135%0.04
mirageC167944%0.01
nukeB147750%0.00
overpassC83538%0.03
ancient41325%-0.03
anubis41325%-0.03
cache42250%0.02
office42250%-0.02
train41325%0.03
vertigo41325%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches
40%Win rate
1.08Avg K/D
79.1ADR
49%Headshot %

Clutches & streaks

43%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1323%0.9914.5
Dust21267%1.1113.8
Nuke729%0.9711.1
Inferno425%1.5518.5
Anubis333%1.0621.0
Ancient333%1.0213.0
Overpass1100%1.1721.0

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.

18.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.2%Spray accuracy
84.9%Counter-strafing
10.1°Preaim
637msReaction time
27.9%T opening success
42.3%CT opening success
0.37Enemies flashed / flash
2.6%Flash assists
4.83HE 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. 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 0.3739 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.8528% — below the 40% mark we flag

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0427%28 Aug
dust213–60.087%28 Aug
mirage9–13-0.0628%28 Aug
nuke13–70.0112%28 Aug
dust211–13-0.0114%28 Aug
nuke4–13-0.0521%28 Aug
inferno9–50.0411%28 Aug
anubis8–13-0.0514%12 Aug
mirage13–110.0123%12 Aug
mirage10–130.0210%12 Aug
dust27–130.0825%12 Aug
mirage6–130.0211%12 Aug
dust27–13-0.0327%12 Aug
cache4–130.0625%11 Aug
dust29–130.0221%11 Aug
inferno7–13-0.0133%10 Aug
office13–5-0.0117%10 Aug
train13–11-0.0122%10 Aug
dust213–9-0.017%10 Aug
mirage10–130.0313%10 Aug
inferno3–9-0.1010%10 Aug
mirage13–7-0.0916%8 Aug
dust213–10.0315%8 Aug
mirage8–13-0.0421%8 Aug
cache13–30.0718%6 Aug
nuke6–13-0.0118%6 Aug
nuke13–10.0414%6 Aug
anubis5–13-0.1111%4 Aug
mirage13–20.0514%4 Aug
nuke7–10-0.0321%4 Aug
vertigo12–12-0.0214%3 Aug
mirage13–40.0424%3 Aug
dust213–4-0.0116%3 Aug
mirage4–130.0316%23 Jun
dust213–100.0423%23 Jun
cache9–13-0.0317%22 Jun
train10–130.0124%22 Jun
mirage13–90.0323%19 Jun
anubis8–130.0313%18 Jun
overpass3–9-0.0911%18 Jun
inferno8–80.0811%18 Jun
inferno2–9-0.0829%18 Jun
inferno5–90.009%18 Jun
mirage12–12-0.0113%17 Jun
vertigo11–130.0118%17 Jun
dust27–13-0.0018%17 Jun
cache13–5-0.0127%17 Jun
inferno13–8-0.0122%17 Jun
anubis13–60.0220%16 Jun
overpass10–13-0.0017%16 Jun
inferno6–90.1520%16 Jun
nuke9–130.1222%15 Jun
overpass2–9-0.0132%13 Jun
inferno8–8-0.0317%13 Jun
dust213–70.0823%11 Jun
dust216–140.0726%11 Jun
nuke13–20.1816%11 Jun
vertigo12–120.0423%8 Jun
dust210–5-0.0423%8 Jun
nuke5–90.0424%8 Jun
inferno13–100.0117%3 Jun
dust211–130.0232%3 Jun
vertigo13–8-0.0623%3 Jun
inferno9–10.3015%29 May
ancient6–13-0.0414%29 May
inferno3–9-0.1213%20 May
office12–12-0.0026%20 May
train4–130.0424%19 May
dust216–140.0224%16 May
overpass6–9-0.0129%16 May
dust213–80.0619%12 May
mirage6–130.0419%12 May
inferno9–70.0519%12 May
dust211–130.0313%9 May
dust211–13-0.0629%7 May
nuke13–80.0511%7 May
nuke9–4-0.1233%7 May
nuke13–9-0.0118%7 May
overpass13–60.1422%4 May
office3–13-0.0618%4 May
mirage10–130.0534%30 Apr
ancient11–13-0.0428%30 Apr
dust29–130.0018%29 Apr
inferno6–13-0.0120%27 Apr
dust212–120.0412%26 Apr
office9–3-0.0244%24 Apr
overpass13–90.0720%24 Apr
inferno13–80.0827%23 Apr
nuke9–4-0.0530%23 Apr
train11–130.0825%23 Apr
overpass9–30.1023%22 Apr
mirage13–110.0224%22 Apr
nuke6–90.0022%22 Apr
inferno8–80.1533%22 Apr
overpass6–130.0635%21 Apr
mirage16–12-0.0123%21 Apr
inferno8–80.1319%18 Apr
nuke2–9-0.1811%18 Apr
ancient11–13-0.0124%18 Apr
dust210–130.1214%18 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 →