BliitzD

BliitzD — CS2 Stats

AU76561198000102121[U:1:39836393]Steam profile ↗✓ No bans

1,562Tracked matches54%Win rate2020Tracked since
CSDB Rating6.1 SolidClutch Specialist
Premier CS Rating16,702Purple band · top ~21.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,562 tracked matches. Play, then come back: the next observation lands here.

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 4 Mar 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: 16,702 +4,501 6 Mar – 23 Sept · 16 days played
12,04117,495peak 17,4956 Mar23 Sept
17,613Peak Premier in tracked matches
32Days played since 2026-03-04

Premier CS Rating

  • 793 below peak (17,495)
  • +4,025 over 90 days
  • Next: Pink band at 20,000 — 3,298 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGBliitzDFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,702 · Purple 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

Aim70
Positioning49
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–43–10Last 10047%Win rateWLWWTLLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.9pp headshot accuracy · +24ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 628ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 645ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 633ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.3 against its own average).

Aim7.0
Utility5.5
Positioning4.9
Opening Duels2.4
Clutch10.0

Reliable in 1v1s

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Reaction time. 629ms 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

Aim7.0
Positioning4.9
Utility5.5
Mechanics8.2
Opening Duels3.2
Win Impact6.2

Composite 6.1/10 (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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time621ms−90ms
first ⅓ avg 711ms → last ⅓ avg 621ms
Headshot accuracy16.6%+2.1%
first ⅓ avg 14.5% → last ⅓ avg 16.6%

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 · 13–9 · dust2, 10 Apr →
45%Best headshot accuracy · 1–8 · anubis, 19 Jul →
484msFastest reaction time · 6–13 · anubis, 16 Jun →
13–2Biggest win · ancient, 29 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoD196–1332%-0.00
mirageC166–1038%-0.01
ancientB157–847%-0.01
dust2B158–753%0.01
nukeA159–660%-0.02
anubisA106–460%0.01
cacheC52–340%-0.01
train—31–233%-0.01
overpass—11–0100%0.04
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
21%Win rate
0.76Avg K/D
82.5ADR
40%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.9211.0
Anubis1100%1.2018.0
Dust210%0.8815.0
Mirage10%0.8315.0

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.

15.9%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.5%Spray accuracy
86.8%Counter-strafing
9.0°Preaim
629msReaction time
41.4%T opening success
44.0%CT opening success
0.58Enemies flashed / flash
5.4%Flash assists
9.08HE damage / grenade
6.60Flashes / match

Recommended for you

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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0311%22 Sept →
ancient8–13-0.1018%22 Sept →
anubis13–90.1618%18 Sept →
ancient13–60.0021%18 Sept →
inferno15–150.0211%18 Sept →
mirage8–130.0211%15 Sept →
dust24–13-0.0315%15 Sept →
mirage6–13-0.089%15 Sept →
inferno8–13-0.0315%15 Sept →
mirage13–40.0221%10 Sept →
dust213–60.1121%10 Sept →
cache11–130.0814%4 Sept →
mirage10–13-0.0415%3 Sept →
ancient13–9-0.0214%3 Sept →
anubis16–140.0215%2 Sept →
inferno4–13-0.0311%2 Sept →
mirage13–11-0.0510%2 Sept →
inferno6–0-0.0120%2 Sept →
dust213–40.0717%29 Aug →
nuke3–0-0.0822%29 Aug →
nuke13–7-0.0323%29 Aug →
cache13–11-0.019%28 Aug →
ancient10–13-0.0316%22 Aug →
inferno7–13-0.0418%22 Aug →
nuke15–150.0121%22 Aug →
inferno4–13-0.0321%20 Aug →
mirage9–13-0.0227%20 Aug →
nuke13–100.0018%20 Aug →
anubis13–11-0.0213%20 Aug →
dust26–13-0.0214%20 Aug →
nuke5–13-0.0520%20 Aug →
ancient13–20.1025%29 Jul →
anubis7–13-0.0114%29 Jul →
ancient13–60.0134%29 Jul →
mirage12–12-0.0517%29 Jul →
train13–70.0226%29 Jul →
dust212–120.0314%29 Jul →
dust21–13-0.0124%19 Jul →
cache12–12-0.0818%19 Jul →
inferno13–90.0820%19 Jul →
nuke13–40.0213%19 Jul →
ancient12–12-0.038%19 Jul →
anubis1–8-0.0545%19 Jul →
inferno11–13-0.0023%19 Jul →
mirage5–13-0.0330%19 Jul →
nuke6–13-0.0319%19 Jul →
dust213–9-0.0017%19 Jul →
overpass13–60.0417%20 Jun →
ancient6–13-0.0518%20 Jun →
ancient13–5-0.0314%20 Jun →
mirage6–13-0.079%20 Jun →
nuke8–13-0.0723%20 Jun →
train8–13-0.0822%20 Jun →
inferno13–10-0.0714%18 Jun →
dust22–13-0.1018%18 Jun →
nuke13–110.0525%18 Jun →
mirage13–60.0617%16 Jun →
dust213–90.037%16 Jun →
dust26–13-0.0914%16 Jun →
anubis6–130.058%16 Jun →
inferno9–13-0.1215%7 Jun →
cache13–11-0.0427%1 Jun →
nuke13–9-0.0414%1 Jun →
cache12–120.0125%20 May →
anubis13–4-0.0315%20 May →
vertigo13–20.0518%26 Apr →
mirage13–110.0717%26 Apr →
inferno10–130.0613%26 Apr →
inferno14–160.0521%26 Apr →
nuke13–110.0820%26 Apr →
mirage13–90.0214%21 Apr →
inferno13–90.0816%21 Apr →
mirage8–13-0.0012%18 Apr →
mirage5–20.1422%18 Apr →
inferno13–60.025%18 Apr →
dust210–6-0.0527%18 Apr →
nuke16–140.0419%10 Apr →
dust213–90.1619%10 Apr →
ancient7–13-0.0011%10 Apr →
dust212–120.018%6 Apr →
inferno11–13-0.0214%25 Mar →
anubis3–13-0.059%25 Mar →
inferno15–150.0021%24 Mar →
nuke13–60.0316%24 Mar →
nuke5–13-0.0423%24 Mar →
train12–120.0424%24 Mar →
nuke0–9-0.177%18 Mar →
inferno5–130.0014%12 Mar →
inferno4–130.0223%12 Mar →
mirage4–13-0.0510%12 Mar →
ancient14–160.028%12 Mar →
mirage3–13-0.0510%11 Mar →
ancient13–9-0.0011%11 Mar →
anubis13–70.056%6 Mar →
dust213–30.1014%6 Mar →
ancient7–13-0.039%6 Mar →
inferno13–8-0.0010%5 Mar →
ancient7–13-0.027%5 Mar →
dust213–4-0.0022%4 Mar →
ancient16–13-0.0015%4 Mar →

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 →