Blake

Blake — CS2 Stats

FR76561198105178293[U:1:144912565]Steam profile ↗✓ No bans

405Tracked matches52%Win rate2020Tracked since
CSDB Rating5.2 DevelopingAll-Rounder
CSDB Leaderboard#19982 of 232454 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,439 → 1,439
+1Tracked matches · now 405
0.0ppWin rate · 51.7% → 51.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 2 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 25,000 +4,426 2 Jan19 Sept · 19 days played
19,25625,646peak 25,6462 Jan19 Sept
25,646Peak Premier in tracked matches
1,439Highest Faceit ELO seen on CSDB
32Days played since 2026-01-02

Faceit ELO

  • At peak — 1,439
  • Next: Level 8 at 1,531 92 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-19
  • Level 6 first seen 2026-09-19

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.GGBlakePEAK ELO1,439csdb.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

Aim73
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

COLD53452Last 10053%Win rateLLLLLLLWWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +4.0pp headshot accuracy · +4ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 05 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 28%
  • Avg reaction 599ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 592ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 590ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.3
Utility4.6
Positioning4.8
Opening Duels2.8
Clutch5.0

Limited utility dependence

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 100% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms 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

Aim7.3
Positioning4.8
Utility4.6
Mechanics7.8
Opening Duels2.2
Win Impact5.6

Composite 5.2/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time622ms+21ms
first ⅓ avg 601ms → last ⅓ avg 622ms
Headshot accuracy24.1%+4.9%
first ⅓ avg 19.1% → last ⅓ avg 24.1%

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

0.43Best match rating · 9–1 · inferno, 6 Feb
50%Best headshot accuracy · 3–13 · dust2, 2 Aug
375msFastest reaction time · 1–7 · inferno, 3 Jan
13–0Biggest win · nuke, 4 Jan

Across the last 100 tracked matches.

Highlights

7Longest win streak
L7Current streak
99In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 63% over 24dust2Weakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2415963%0.03
dust2C1771041%-0.01
nukeC1771041%-0.00
mirageA138562%0.01
cacheA74357%-0.01
anubisC73443%-0.01
ancientA74357%-0.01
overpassB63350%-0.01
train220100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

112Matches
51%Win rate
1.30Avg K/D
90.8ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2933%1.1116.8
Mirage838%1.1319.3
Inferno862%1.1220.5
Nuke743%1.1820.7
Ancient450%1.3621.0
Anubis367%1.1717.3
Overpass333%0.9719.7
Cache20%0.8413.5

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.

23.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
33.0%Spray accuracy
85.0%Counter-strafing
10.3°Preaim
624msReaction time
25.0%T opening success
48.0%CT opening success
0.50Enemies flashed / flash
8.9%Flash assists
12.34HE damage / grenade
2.84Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.836 — below the 4 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 24.9816% — below the 40% mark we flag

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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache1–13-0.0532%19 Sept
dust25–13-0.1017%2 Aug
nuke14–16-0.0219%2 Aug
cache11–13-0.0225%2 Aug
dust23–13-0.0650%2 Aug
dust23–130.0010%30 Jul
mirage5–13-0.0537%30 Jul
inferno13–110.0136%29 Jul
cache13–40.0521%29 Jul
mirage13–110.0125%29 Jul
inferno13–50.0417%29 Jul
dust23–13-0.1124%28 Jul
cache16–14-0.0227%26 Jul
dust216–14-0.0017%26 Jul
anubis12–120.0216%26 Jul
inferno6–13-0.0619%26 Jul
cache2–13-0.0424%26 Jul
inferno13–40.0527%26 Jul
nuke13–7-0.0441%26 Jul
mirage13–60.0319%26 Jul
inferno8–130.0722%26 Jul
cache13–8-0.0116%26 Jul
cache13–70.0536%5 Jul
mirage13–8-0.0110%1 Mar
nuke11–13-0.0316%22 Feb
nuke7–13-0.0129%10 Feb
dust213–100.0721%9 Feb
anubis13–80.0119%8 Feb
anubis10–130.0223%8 Feb
inferno13–60.0222%8 Feb
nuke11–13-0.0524%8 Feb
nuke13–100.0830%8 Feb
inferno9–10.4323%6 Feb
mirage9–13-0.0319%2 Feb
ancient13–100.0128%2 Feb
mirage13–110.0115%2 Feb
dust26–13-0.0411%2 Feb
overpass0–3-0.110%1 Feb
nuke9–130.0617%1 Feb
nuke9–130.0125%1 Feb
dust26–13-0.0119%1 Feb
ancient4–13-0.0424%1 Feb
anubis13–11-0.058%1 Feb
overpass13–40.1220%31 Jan
inferno12–12-0.0333%31 Jan
nuke13–60.0017%31 Jan
anubis3–13-0.1217%26 Jan
dust213–8-0.0214%26 Jan
nuke11–130.0127%26 Jan
ancient13–30.0712%26 Jan
inferno13–9-0.0222%26 Jan
inferno13–70.0323%25 Jan
mirage13–90.0518%25 Jan
anubis13–70.0720%25 Jan
dust213–50.017%25 Jan
inferno16–140.0222%25 Jan
mirage11–13-0.0115%24 Jan
ancient13–1-0.0112%24 Jan
inferno16–130.0215%24 Jan
nuke11–13-0.0518%22 Jan
ancient13–6-0.0310%22 Jan
dust213–50.1213%22 Jan
inferno13–16-0.0520%22 Jan
anubis4–13-0.0211%22 Jan
inferno13–30.0822%18 Jan
dust210–13-0.0312%18 Jan
dust213–80.0415%18 Jan
mirage13–60.0113%18 Jan
dust28–13-0.0313%15 Jan
ancient10–13-0.0529%15 Jan
overpass13–50.0922%15 Jan
train13–60.1123%14 Jan
inferno13–90.0520%14 Jan
nuke13–60.0214%12 Jan
overpass9–13-0.0122%11 Jan
nuke16–13-0.0418%11 Jan
inferno11–130.0416%11 Jan
inferno7–13-0.0017%8 Jan
nuke13–50.0313%8 Jan
dust28–30.0310%7 Jan
inferno13–90.0311%7 Jan
inferno13–11-0.018%6 Jan
nuke6–13-0.0633%5 Jan
mirage13–20.1122%5 Jan
mirage4–13-0.0338%4 Jan
train2–0-0.040%4 Jan
nuke13–00.0823%4 Jan
inferno6–130.0115%4 Jan
inferno10–130.0228%3 Jan
nuke10–130.0031%3 Jan
overpass13–7-0.0512%3 Jan
ancient10–13-0.0121%3 Jan
inferno13–5-0.0120%3 Jan
dust210–13-0.0619%3 Jan
dust28–13-0.0126%3 Jan
inferno16–12-0.0218%3 Jan
inferno1–7-0.0423%3 Jan
overpass0–13-0.0726%3 Jan
mirage13–40.0611%3 Jan
mirage11–13-0.0218%2 Jan

Match data via Leetify.

Recent teammates

Milestones

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