Quantum26

Quantum26 — CS2 Stats

76561198186833087[U:1:226567359]Steam profile ↗

74Tracked matches56%Win rate2025Tracked since
CSDB Rating5.5 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim61
Positioning59
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY36326Last 7449%Win rateLWWWLLLWWT

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim6.1
Aggression5.4
Utility4.1
Positioning5.9
Opening Duels2.3

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.

Your pro match

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 612ms 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

Aim6.1
Positioning5.9
Utility4.1
Mechanics6.4
Opening Duels2.3
Win Impact6.9

Composite 5.5/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time614ms−52ms
first ⅓ avg 666ms → last ⅓ avg 614ms
Headshot accuracy16.8%+1.7%
first ⅓ avg 15.0% → last ⅓ avg 16.8%

Rolling 5-match average across the last 74 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.11Best rating — ancient 13–9
131Biggest win — vertigo
4Longest win streak
46In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 57% over 14officeWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
vertigoB178947%-0.00
officeC1661038%-0.03
anubisA148657%-0.01
ancientC94544%0.02
infernoC52340%-0.03
alpine32167%0.01
stronghold21150%-0.00
train21150%0.05
nuke110100%0.02
dust2110100%0.03
overpass110100%0.05
italy1010%-0.00
agency1010%-0.07
palacio110100%-0.01

Across the last 74 tracked matches.

Skill profile

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

16.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
36.1%Spray accuracy
79.0%Counter-strafing
10.6°Preaim
612msReaction time
32.4%T opening success
46.1%CT opening success
0.50Enemies flashed / flash
5.1%Flash assists
9.11HE damage / grenade
4.71Flashes / 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

    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 32.42% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0415%23 Aug
anubis13–5-0.0411%23 Aug
office13–50.0329%23 Aug
vertigo10–90.0126%16 Aug
vertigo5–13-0.0314%16 Aug
anubis3–13-0.1011%16 Aug
ancient7–13-0.0810%22 Jun
anubis13–4-0.035%22 Jun
vertigo13–6-0.0319%26 Apr
vertigo12–12-0.0317%20 Apr
ancient1–13-0.0231%20 Apr
office10–13-0.0213%20 Apr
ancient13–70.0615%19 Apr
office11–13-0.0919%19 Apr
ancient13–90.1110%19 Apr
nuke11–20.0212%17 Apr
anubis7–13-0.044%17 Apr
anubis13–70.0031%7 Apr
office8–13-0.0116%7 Apr
ancient13–100.0317%7 Apr
vertigo13–10.1017%7 Apr
vertigo3–13-0.0514%31 Mar
inferno10–13-0.0320%31 Mar
ancient12–120.0727%31 Mar
anubis13–8-0.0114%30 Mar
inferno9–130.0026%30 Mar
vertigo13–3-0.0113%30 Mar
office12–12-0.0718%21 Mar
anubis13–10-0.0213%21 Mar
vertigo13–6-0.1010%17 Mar
vertigo10–130.0420%15 Mar
office9–13-0.0540%15 Mar
office13–9-0.078%15 Mar
vertigo12–120.0619%9 Mar
anubis7–130.0722%9 Mar
ancient13–30.036%9 Mar
office5–13-0.0616%9 Mar
office8–13-0.025%26 Feb
dust213–70.0317%26 Feb
overpass13–30.0512%22 Feb
vertigo11–130.0911%22 Feb
alpine13–10-0.0214%22 Feb
inferno2–0-0.030%22 Feb
vertigo13–9-0.0016%18 Feb
anubis9–13-0.0520%10 Feb
vertigo13–9-0.0213%10 Feb
office11–13-0.0320%10 Feb
alpine10–130.0215%10 Feb
stronghold7–13-0.027%26 Jan
anubis13–110.0811%26 Jan
ancient9–130.0010%26 Jan
anubis2–8-0.0324%26 Jan
train10–130.0413%25 Jan
office13–6-0.0217%25 Jan
stronghold13–80.0217%25 Jan
office13–8-0.0320%25 Jan
alpine13–80.0315%25 Jan
vertigo8–13-0.035%25 Jan
anubis13–6-0.0211%21 Jan
train13–30.075%21 Jan
vertigo11–13-0.0013%20 Jan
anubis12–120.0113%15 Jan
office13–8-0.0310%15 Jan
vertigo4–13-0.052%15 Jan
inferno13–7-0.0612%13 Jan
anubis13–10.0421%13 Jan
vertigo13–80.0313%13 Jan
office11–130.0127%13 Jan
office8–13-0.0015%23 Dec
italy12–12-0.0013%23 Dec
inferno8–13-0.0531%15 Dec
agency6–13-0.0714%15 Dec
palacio13–10-0.0118%21 Nov
office13–110.0222%21 Nov

Match data via Leetify.

Recent teammates

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