Blaze

Blaze — CS2 Stats

76561198149674703[U:1:189408975]Steam profile ↗✓ No bans

493Tracked matches56%Win rate2026Tracked since
644Hours in CS11Hrs last 2 wks
CSDB Rating3.8 LearningSupport
WingmanSilver IV
Ladder ranks via Leetify

Performance scores

Aim32
Positioning45
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY65–27–8Last 10065%Win rateWWTWTLLTWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +2.6pp headshot accuracy · −4ms reaction

Win rate +10pp 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

  • 3–0–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 616ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 7%
  • Avg reaction 636ms

Last 20

  • 9–6–5 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 6%
  • Avg reaction 638ms

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 (+1.1 against its own average).

Aim3.2
Utility4.9
Positioning4.5
Opening Duels1.9

Strong CT-side opener

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

jL

Plays most like jL 65% 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. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim3.2
Positioning4.5
Utility4.9
Mechanics1.2
Opening Duels3.2
Win Impact7.0

Composite 3.8/10 (Learning), 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-0.04−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time640ms−59ms
first ⅓ avg 700ms → last ⅓ avg 640ms
Headshot accuracy7.3%−1.6%
first ⅓ avg 8.9% → last ⅓ avg 7.3%

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

0.13Best match rating · 9–1 · inferno, 7 Jul →
33%Best headshot accuracy · 5–13 · ancient, 12 Oct →
438msFastest reaction time · 9–5 · inferno, 9 Oct →
13–1Biggest win · ancient, 7 Jul →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W2Current streak
15–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
infernoS1812–667%-0.01
dust2B157–847%-0.01
mirageA127–558%-0.02
anubisA106–460%-0.04
ancientS96–367%-0.02
cacheA74–357%-0.01
overpassS54–180%-0.02
nukeS54–180%-0.03
vertigo—43–175%-0.04
fachwerk—33–0100%0.00
boulder—33–0100%0.05
train—22–0100%-0.02
office—21–150%-0.06
italy—21–150%-0.04
poseidon—22–0100%0.02
shelter—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,888Lifetime kills
1.42K/D · Top 5% of tracked players
786Matches
50.6%Match win rate · Top 25% of tracked players
58.8%Headshot % · Top 10% of tracked players
0.0%Shot accuracy
1,277MVPs
300Hours (in match)
1,114Bombs planted
250Bombs defused

Most-used weapons

Lifetime map wins

1,773dust2
960inferno
713nuke
192vertigo
147office
142train
45italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

6.8%Headshot accuracy
38.2%Accuracy (enemy spotted)
40.4%Spray accuracy
55.3%Counter-strafing
12.0°Preaim
642msReaction time
35.9%T opening success
49.8%CT opening success
0.51Enemies flashed / flash
7.2%Flash assists
10.39HE damage / grenade
7.60Flashes / 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 12.0189° — 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 6.7942% — below the 15% mark we flag

    Aim Training →
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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–11-0.0013%7 Nov →
anubis13–6-0.004%7 Nov →
dust212–12-0.055%7 Nov →
anubis13–11-0.095%30 Oct →
inferno12–12-0.085%30 Oct →
anubis10–13-0.084%30 Oct →
inferno9–130.0111%29 Oct →
dust212–12-0.0112%29 Oct →
inferno13–7-0.056%28 Oct →
mirage13–110.049%28 Oct →
ancient13–4-0.035%28 Oct →
cache12–12-0.028%27 Oct →
ancient12–120.014%27 Oct →
vertigo9–13-0.079%27 Oct →
nuke13–10-0.020%27 Oct →
dust28–13-0.036%23 Oct →
inferno3–13-0.050%23 Oct →
cache11–10.085%23 Oct →
train13–11-0.025%17 Oct →
inferno11–13-0.046%17 Oct →
dust213–5-0.015%17 Oct →
mirage13–2-0.037%17 Oct →
mirage6–13-0.017%12 Oct →
dust29–2-0.020%12 Oct →
ancient5–13-0.1433%12 Oct →
vertigo13–6-0.049%10 Oct →
nuke8–13-0.082%9 Oct →
office8–13-0.096%9 Oct →
anubis13–40.010%9 Oct →
dust23–130.018%9 Oct →
inferno2–9-0.227%9 Oct →
inferno9–5-0.1122%9 Oct →
dust213–110.0110%8 Oct →
mirage1–13-0.056%8 Oct →
nuke13–9-0.0417%8 Oct →
overpass12–12-0.040%3 Oct →
italy13–9-0.014%3 Oct →
cache9–13-0.108%3 Oct →
overpass9–2-0.085%2 Oct →
dust27–13-0.0512%2 Oct →
dust210–13-0.0422%2 Oct →
mirage13–3-0.0817%1 Oct →
nuke13–4-0.035%1 Oct →
inferno16–14-0.0610%30 Sept →
vertigo13–30.028%30 Sept →
anubis13–4-0.0417%25 Sept →
ancient13–110.048%25 Sept →
inferno13–20.005%25 Sept →
dust27–40.017%25 Sept →
anubis13–7-0.047%30 Jul →
ancient13–11-0.0413%30 Jul →
anubis10–13-0.056%30 Jul →
italy6–13-0.0716%29 Jul →
vertigo13–3-0.059%29 Jul →
fachwerk13–110.0911%29 Jul →
fachwerk13–6-0.055%29 Jul →
fachwerk13–11-0.0312%29 Jul →
overpass13–20.0329%28 Jul →
boulder13–60.0416%24 Jul →
anubis4–13-0.0612%24 Jul →
boulder13–90.0410%23 Jul →
anubis7–13-0.0113%23 Jul →
inferno13–8-0.004%17 Jul →
dust212–160.0511%17 Jul →
mirage13–5-0.048%17 Jul →
mirage7–13-0.0222%17 Jul →
dust26–13-0.0623%17 Jul →
ancient5–130.0121%17 Jul →
inferno13–4-0.065%17 Jul →
boulder13–110.087%16 Jul →
mirage13–100.046%13 Jul →
ancient16–14-0.018%12 Jul →
mirage12–120.038%11 Jul →
nuke13–9-0.008%11 Jul →
mirage16–12-0.037%11 Jul →
inferno13–8-0.096%11 Jul →
overpass13–11-0.0312%11 Jul →
cache13–11-0.008%11 Jul →
inferno9–70.057%11 Jul →
anubis13–6-0.0713%10 Jul →
inferno13–40.107%10 Jul →
cache13–90.0012%10 Jul →
train13–5-0.018%10 Jul →
ancient13–6-0.045%10 Jul →
dust213–4-0.0813%10 Jul →
shelter11–13-0.048%10 Jul →
inferno9–30.0510%10 Jul →
inferno8–80.068%10 Jul →
poseidon9–5-0.018%8 Jul →
poseidon9–00.040%8 Jul →
cache8–5-0.036%8 Jul →
mirage10–13-0.0313%8 Jul →
office13–7-0.022%8 Jul →
mirage10–1-0.060%7 Jul →
dust213–20.0010%7 Jul →
dust213–20.1122%7 Jul →
inferno9–10.1310%7 Jul →
inferno9–20.117%7 Jul →
ancient13–1-0.019%7 Jul →
cache13–10-0.0320%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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