Quantalis — CS2 Stats

76561198109501790[U:1:149236062]

379Tracked matches57%Win rate2020Tracked since
1,320Hours in CS
CSDB Rating6.0 SolidPassive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGQuantalisFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning56
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateWLLLLWWWLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

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

Aim6.5
Aggression3.8
Utility5.3
Positioning5.6
Opening Duels1.5

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 632ms 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
Positioning5.6
Utility5.3
Mechanics8.0
Opening Duels1.6
Win Impact7.4

Composite 6.0/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time631ms+35ms
first ⅓ avg 596ms → last ⅓ avg 631ms
Headshot accuracy20.6%−4.9%
first ⅓ avg 25.4% → last ⅓ avg 20.6%

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.

Highlights

0.20Best rating — brewery 7–9
132Biggest win — mirage
7Longest win streak
99In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 68% over 19nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S1913668%0.02
infernoC1771041%-0.01
ancientB136746%-0.01
mirageB136746%0.02
nukeD93633%0.01
trainB84450%0.01
anubisS64267%-0.03
overpassS64267%-0.01
cache41325%-0.06
vertigo21150%-0.05
office21150%-0.02
brewery1010%0.20

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,303Lifetime kills
1.10K/D · Top 50% of tracked players
3,442Matches
40.1%Match win rate
47.9%Headshot % · Top 50% of tracked players
17.5%Shot accuracy · Top 25% of tracked players
7,316MVPs
1,320Hours (in match)
4,507Bombs planted
833Bombs defused

Most-used weapons

Lifetime map wins

6,625dust2
3,996inferno
1,439nuke
871cbble
811train
429lake
381vertigo
215office

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

Faceit stats

Combat

25Matches
52%Win rate
0.96Avg K/D
ADR
50%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

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.

20.1%Headshot accuracy
31.2%Accuracy (enemy spotted)
37.1%Spray accuracy
86.1%Counter-strafing
10.8°Preaim
632msReaction time
29.7%T opening success
42.5%CT opening success
0.61Enemies flashed / flash
7.4%Flash assists
10.67HE damage / grenade
10.22Flashes / 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 29.6957% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0420%22 Jun
cache7–13-0.0615%11 May
cache4–13-0.0610%11 May
cache1–13-0.0814%11 May
ancient7–13-0.0322%1 Apr
anubis13–8-0.049%13 Feb
ancient16–13-0.0124%12 Feb
overpass16–12-0.0123%12 Feb
dust211–13-0.0117%11 Feb
mirage8–13-0.0326%3 Feb
inferno11–130.0119%3 Feb
ancient7–13-0.0510%3 Feb
train11–13-0.0525%8 Jan
dust213–80.0331%15 Dec
vertigo13–60.0322%6 Nov
dust213–9-0.0322%6 Nov
ancient10–13-0.0018%6 Nov
mirage13–20.0814%6 Nov
overpass16–130.0310%6 Nov
dust213–70.0239%3 Jul
nuke13–60.0725%3 Jul
nuke13–11-0.0226%25 May
dust213–100.0329%25 May
overpass6–4-0.0238%24 May
brewery7–90.2023%12 May
inferno12–120.0218%12 May
anubis9–13-0.0725%11 May
anubis13–9-0.0118%5 May
inferno13–9-0.0011%27 Apr
dust27–130.0015%27 Apr
train15–150.0215%27 Apr
mirage10–130.0123%22 Apr
mirage13–70.0222%22 Apr
dust213–7-0.0315%21 Apr
dust216–120.0420%21 Apr
overpass12–12-0.0216%20 Apr
nuke9–130.0133%20 Apr
dust28–13-0.0513%20 Apr
mirage13–16-0.0313%20 Apr
inferno9–7-0.0314%28 Mar
ancient11–13-0.0434%28 Mar
dust213–60.0028%28 Mar
ancient5–13-0.0339%28 Mar
office12–12-0.0124%23 Mar
inferno13–80.0319%18 Mar
inferno2–13-0.0239%18 Mar
inferno4–9-0.1221%3 Mar
overpass1–9-0.1726%3 Mar
overpass9–70.1026%3 Mar
anubis13–11-0.0418%1 Mar
nuke7–13-0.0318%1 Mar
anubis5–13-0.068%1 Mar
ancient16–14-0.0217%24 Feb
train13–60.1222%24 Feb
ancient12–10.0514%24 Feb
ancient13–80.0114%13 Feb
dust211–130.0429%13 Feb
inferno5–13-0.0713%13 Feb
inferno13–90.0324%13 Feb
dust215–150.0624%12 Feb
dust213–80.1223%8 Feb
inferno9–13-0.0022%8 Feb
nuke8–13-0.0328%7 Feb
ancient13–60.0432%7 Feb
dust213–110.0216%7 Feb
mirage13–70.0330%7 Feb
anubis13–100.0319%7 Feb
mirage10–13-0.0120%7 Feb
inferno13–100.0725%7 Feb
mirage16–12-0.0220%7 Feb
office13–11-0.0348%3 Feb
ancient13–20.0245%3 Feb
dust211–130.0219%3 Feb
mirage16–130.0525%3 Feb
nuke13–80.0840%3 Feb
inferno11–130.0155%3 Feb
mirage13–90.0524%1 Feb
train4–13-0.0414%1 Feb
dust213–4-0.0129%1 Feb
train13–80.0835%1 Feb
train13–100.0316%31 Jan
nuke8–80.0826%31 Jan
train8–13-0.0418%30 Jan
mirage11–130.0225%30 Jan
ancient5–13-0.0337%30 Jan
inferno16–120.0424%30 Jan
mirage2–130.0126%29 Jan
ancient2–13-0.0226%29 Jan
nuke8–13-0.0311%29 Jan
dust213–110.0731%29 Jan
train13–9-0.0112%29 Jan
mirage6–130.0818%25 Jan
dust213–70.0927%25 Jan
inferno3–130.0121%25 Jan
inferno9–5-0.0733%25 Jan
vertigo1–9-0.135%25 Jan
inferno3–9-0.134%25 Jan
nuke6–9-0.0226%25 Jan
dust213–3-0.0233%23 Jan
inferno7–130.0123%23 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 →