<viper>qlimax — CS2 Stats

DK76561197989910079[U:1:29644351]Steam profile ↗✓ No bans

1,089Tracked matches57%Win rate2020Tracked since

CSDB Rating4.7 DevelopingHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim63

Positioning58

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWWWLLLLWLT

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression6.2

Utility3.1

Positioning5.8

Opening Duels1.9

Clutch4.8

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

Plays most like Twistzz 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 566ms 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

Aim6.3

Positioning5.8

Utility3.1

Mechanics5.2

Opening Duels1.9

Win Impact7.4

Composite 4.7/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time561ms−27ms

first ⅓ avg 588ms → last ⅓ avg 561ms

Headshot accuracy18.7%+1.9%

first ⅓ avg 16.9% → last ⅓ avg 18.7%

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

0.10Best rating — nuke 13–10

13–0Biggest win — nuke

6Longest win streak

W3Current streak

4–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 79% over 14anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	31	16–15	52%	-0.01
inferno	S	14	11–3	79%	-0.01
overpass	C	14	6–8	43%	0.00
mirage	D	12	4–8	33%	-0.02
dust2	S	12	8–4	67%	-0.00
ancient	S	9	7–2	78%	-0.01
anubis	D	6	0–6	0%	0.00
cache	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

542Matches

52%Win rate

1.04Avg K/D

79.3ADR

37%Headshot %

Clutches & streaks

44%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	11	55%	0.84	12.4
Mirage	8	62%	0.88	15.1
Anubis	7	43%	0.80	16.1
Inferno	6	67%	0.84	17.2
Ancient	3	0%	0.77	12.0
Overpass	3	67%	0.88	14.7
Dust2	3	67%	1.36	21.3
Cache	1	0%	0.95	21.0

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.

17.1%Headshot accuracy

34.0%Accuracy (enemy spotted)

36.5%Spray accuracy

73.5%Counter-strafing

10.4°Preaim

566msReaction time

33.6%T opening success

41.4%CT opening success

0.47Enemies flashed / flash

3.0%Flash assists

9.32HE damage / grenade

1.85Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4711 — below the 0.5 mark we flag
Grenade Lineups →
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 33.6189% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–13	0.00	18%	29 Aug →
ancient	13–8	0.00	15%	29 Aug →
nuke	13–10	0.10	37%	29 Aug →
cache	11–13	-0.04	17%	21 Aug →
anubis	9–13	0.02	23%	17 Aug →
mirage	6–13	-0.02	18%	17 Aug →
nuke	8–13	-0.05	32%	28 Jul →
mirage	13–10	-0.03	19%	28 Jul →
anubis	5–13	-0.04	29%	28 Jul →
cache	15–15	-0.03	15%	22 Jul →
nuke	16–13	0.01	26%	21 Jul →
inferno	8–13	-0.04	14%	4 Jul →
nuke	13–3	0.01	11%	4 Jul →
overpass	15–15	0.02	16%	24 Jun →
nuke	4–13	-0.04	14%	24 Jun →
ancient	16–14	0.00	12%	3 Jun →
inferno	13–11	-0.01	6%	3 Jun →
overpass	13–7	0.07	14%	18 Apr →
nuke	13–2	0.06	10%	18 Apr →
inferno	13–9	-0.04	14%	18 Apr →
nuke	10–13	0.02	18%	18 Apr →
inferno	13–9	-0.02	12%	18 Apr →
overpass	3–13	-0.06	9%	15 Apr →
dust2	13–7	0.02	18%	15 Apr →
nuke	16–14	-0.02	17%	6 Apr →
overpass	13–5	0.01	6%	6 Apr →
ancient	5–13	-0.05	18%	25 Mar →
anubis	8–13	-0.01	13%	25 Mar →
mirage	8–13	-0.04	19%	23 Mar →
nuke	13–8	-0.04	16%	23 Mar →
overpass	9–13	-0.01	26%	23 Mar →
nuke	13–1	0.05	71%	23 Mar →
nuke	4–13	-0.07	15%	13 Mar →
dust2	10–13	-0.01	24%	13 Mar →
ancient	6–13	-0.06	15%	6 Mar →
inferno	13–8	0.02	27%	6 Mar →
anubis	15–15	-0.01	15%	6 Mar →
overpass	13–7	0.04	21%	28 Feb →
ancient	13–8	-0.03	12%	28 Feb →
nuke	13–8	0.07	16%	28 Feb →
overpass	6–13	0.02	20%	27 Feb →
mirage	5–13	-0.05	16%	27 Feb →
inferno	13–8	-0.02	10%	23 Feb →
nuke	6–13	-0.01	18%	23 Feb →
nuke	8–13	-0.08	15%	20 Feb →
mirage	11–13	-0.03	15%	20 Feb →
overpass	11–13	-0.01	9%	13 Feb →
dust2	13–7	-0.03	11%	13 Feb →
mirage	9–13	-0.06	15%	11 Feb →
nuke	11–13	0.02	24%	7 Feb →
nuke	8–13	-0.01	17%	7 Feb →
dust2	13–2	0.00	24%	7 Feb →
nuke	13–6	0.01	14%	7 Feb →
dust2	13–10	0.07	33%	2 Feb →
nuke	13–5	0.03	36%	2 Feb →
overpass	8–13	-0.02	10%	2 Feb →
anubis	10–13	0.05	8%	31 Jan →
ancient	13–8	0.04	14%	31 Jan →
overpass	13–7	0.02	25%	30 Jan →
mirage	11–13	0.01	15%	30 Jan →
dust2	13–5	-0.01	33%	30 Jan →
nuke	13–4	-0.03	18%	30 Jan →
ancient	13–6	-0.04	7%	30 Jan →
mirage	13–3	0.02	21%	30 Jan →
inferno	13–5	-0.02	13%	30 Jan →
nuke	13–0	-0.07	12%	30 Jan →
nuke	10–13	-0.02	22%	28 Jan →
inferno	13–1	0.08	16%	28 Jan →
nuke	10–13	-0.00	17%	28 Jan →
overpass	11–13	-0.03	13%	28 Jan →
ancient	13–2	-0.02	26%	27 Jan →
nuke	11–13	-0.07	7%	25 Jan →
nuke	9–13	-0.04	15%	25 Jan →
dust2	13–8	-0.03	27%	25 Jan →
dust2	13–8	0.03	9%	24 Jan →
ancient	13–11	0.07	18%	24 Jan →
inferno	13–6	0.04	29%	24 Jan →
nuke	16–13	-0.03	15%	23 Jan →
dust2	10–13	-0.03	23%	23 Jan →
inferno	13–3	0.00	16%	23 Jan →
mirage	3–13	-0.06	19%	23 Jan →
nuke	13–7	0.01	26%	23 Jan →
anubis	11–13	-0.00	13%	22 Jan →
mirage	10–13	0.00	14%	22 Jan →
nuke	11–13	-0.03	19%	19 Jan →
inferno	4–13	-0.03	7%	19 Jan →
nuke	15–15	0.02	23%	19 Jan →
dust2	13–10	0.02	24%	18 Jan →
mirage	16–13	0.02	13%	18 Jan →
overpass	16–13	0.00	16%	17 Jan →
nuke	11–13	-0.07	7%	17 Jan →
nuke	13–7	-0.00	27%	17 Jan →
overpass	10–13	0.02	22%	16 Jan →
inferno	13–10	-0.02	11%	15 Jan →
overpass	16–13	-0.02	17%	15 Jan →
nuke	13–5	0.02	16%	15 Jan →
inferno	10–13	-0.05	17%	13 Jan →
dust2	14–16	-0.03	4%	13 Jan →
dust2	8–13	-0.02	21%	11 Jan →
mirage	13–10	-0.02	13%	11 Jan →