c4put-- — CS2 Stats

76561198310061662[U:1:349795934]

2,828Tracked matches53%Win rate2020Tracked since

CSDB Rating6.7 SolidHybrid Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim88

Positioning57

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLLWWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.8

Aggression4.9

Utility5.8

Positioning5.7

Opening Duels1.0

Clutch3.0

Sharp aimerExcellent counter-strafing

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 NiKo 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 569ms 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

Aim8.8

Positioning5.7

Utility5.8

Mechanics8.7

Opening Duels1.4

Win Impact6.1

Composite 6.7/10 (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-0.01−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time559ms+20ms

first ⅓ avg 539ms → last ⅓ avg 559ms

Headshot accuracy27.0%−3.8%

first ⅓ avg 30.8% → last ⅓ avg 27.0%

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

0.16Best rating — nuke 13–9

13–1Biggest win — inferno

6Longest win streak

L3Current streak

13–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 67% over 12overpassWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	18	8–10	44%	-0.01
anubis	B	16	8–8	50%	0.00
dust2	A	15	9–6	60%	0.00
inferno	A	14	9–5	64%	0.01
nuke	S	12	8–4	67%	0.02
mirage	C	11	4–7	36%	0.01
overpass	D	7	2–5	29%	-0.01
cache	B	6	3–3	50%	0.02
debris	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,427Matches

51%Win rate

1.12Avg K/D

75.3ADR

55%Headshot %

Clutches & streaks

35%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	233	50%	1.14	15.3
Mirage	174	46%	1.05	15.1
Anubis	150	52%	1.03	14.7
Nuke	132	51%	1.07	15.7
Inferno	91	52%	1.15	15.6
Dust2	77	53%	1.14	15.2
Overpass	75	55%	1.02	14.8
Train	43	58%	1.16	16.3

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.

26.9%Headshot accuracy

37.1%Accuracy (enemy spotted)

39.1%Spray accuracy

89.1%Counter-strafing

9.8°Preaim

569msReaction time

26.6%T opening success

41.4%CT opening success

0.62Enemies flashed / flash

8.6%Flash assists

5.79HE damage / grenade

12.41Flashes / 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.

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 26.5563% — below the 40% mark we flag

Spend your practice time on Overpass

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	0.00	16%	28 Aug →
dust2	3–13	-0.06	26%	26 Aug →
ancient	10–13	-0.05	26%	26 Aug →
nuke	13–10	-0.05	34%	20 Aug →
anubis	13–10	0.06	22%	12 Aug →
nuke	13–11	0.05	26%	12 Aug →
mirage	16–14	-0.03	43%	9 Aug →
dust2	13–11	0.06	34%	9 Aug →
cache	7–13	0.04	30%	9 Aug →
mirage	13–7	0.04	33%	9 Aug →
mirage	16–14	0.05	36%	9 Aug →
mirage	10–13	0.04	30%	4 Aug →
dust2	13–8	-0.02	23%	3 Aug →
nuke	1–6	-0.11	0%	3 Aug →
ancient	9–13	-0.05	26%	3 Aug →
cache	13–10	0.06	34%	30 Jul →
anubis	16–14	-0.03	33%	21 Jul →
dust2	9–13	-0.08	17%	17 Jul →
cache	8–13	-0.05	20%	17 Jul →
inferno	1–13	-0.02	35%	17 Jul →
debris	9–2	0.14	57%	14 Jul →
inferno	13–1	0.05	35%	17 Jun →
dust2	8–13	-0.03	20%	17 Jun →
anubis	5–13	-0.01	15%	17 Jun →
inferno	13–5	0.01	31%	16 Jun →
anubis	13–16	-0.04	20%	16 Jun →
overpass	13–4	0.01	16%	16 Jun →
ancient	13–8	-0.05	20%	12 Jun →
anubis	12–16	-0.06	29%	12 Jun →
dust2	13–11	0.01	30%	11 Jun →
ancient	13–8	-0.03	18%	11 Jun →
ancient	11–13	-0.03	23%	10 Jun →
overpass	8–13	-0.04	34%	10 Jun →
inferno	13–6	0.00	32%	1 Jun →
anubis	9–13	-0.04	21%	31 May →
nuke	13–8	0.02	22%	18 May →
dust2	13–3	-0.03	40%	17 May →
ancient	14–16	-0.02	12%	17 May →
anubis	13–7	-0.05	25%	17 May →
cache	4–13	0.00	26%	7 May →
cache	13–4	0.00	20%	7 May →
dust2	8–13	-0.05	25%	4 May →
nuke	13–9	-0.02	14%	28 Apr →
cache	13–7	0.05	33%	28 Apr →
dust2	13–11	-0.03	33%	28 Apr →
inferno	11–13	0.01	38%	27 Apr →
anubis	12–16	0.01	25%	26 Apr →
nuke	5–13	0.06	27%	24 Apr →
mirage	7–13	-0.01	33%	24 Apr →
inferno	13–9	0.00	15%	24 Apr →
anubis	13–5	0.06	19%	22 Apr →
nuke	9–13	0.05	36%	21 Apr →
dust2	11–13	-0.02	18%	21 Apr →
ancient	3–13	-0.02	14%	20 Apr →
ancient	11–13	-0.02	23%	20 Apr →
mirage	8–13	-0.03	29%	18 Apr →
inferno	6–13	-0.02	32%	18 Apr →
inferno	6–13	-0.02	32%	18 Apr →
mirage	8–13	-0.03	29%	18 Apr →
ancient	6–13	-0.01	15%	18 Apr →
overpass	11–13	-0.02	20%	18 Apr →
overpass	11–13	-0.02	20%	18 Apr →
ancient	6–13	-0.01	15%	18 Apr →
dust2	13–7	0.08	46%	13 Apr →
overpass	9–13	-0.02	14%	11 Apr →
dust2	13–7	0.02	13%	11 Apr →
inferno	13–9	0.02	16%	11 Apr →
ancient	5–13	-0.05	12%	11 Apr →
nuke	13–9	0.16	26%	11 Apr →
dust2	13–7	0.10	31%	11 Apr →
nuke	16–14	-0.01	32%	11 Apr →
ancient	8–13	-0.05	12%	11 Apr →
mirage	9–13	0.03	30%	11 Apr →
mirage	10–13	-0.03	15%	9 Apr →
ancient	13–11	0.02	26%	5 Apr →
inferno	7–13	-0.05	73%	5 Apr →
ancient	13–7	0.07	27%	5 Apr →
overpass	13–4	0.04	38%	31 Mar →
inferno	13–11	0.05	26%	30 Mar →
anubis	13–9	0.02	27%	30 Mar →
overpass	5–13	0.01	60%	30 Mar →
ancient	13–10	0.02	25%	27 Mar →
nuke	13–7	0.10	39%	27 Mar →
anubis	13–10	0.09	36%	26 Mar →
anubis	19–16	0.02	25%	26 Mar →
inferno	13–2	0.10	34%	26 Mar →
ancient	13–10	0.03	17%	26 Mar →
anubis	9–13	0.06	28%	25 Mar →
inferno	13–11	0.03	23%	25 Mar →
inferno	13–10	0.01	21%	25 Mar →
anubis	10–13	-0.02	23%	24 Mar →
mirage	13–7	0.06	35%	24 Mar →
anubis	15–15	0.01	71%	18 Mar →
ancient	13–11	-0.02	48%	18 Mar →
dust2	13–10	0.08	36%	16 Mar →
anubis	13–5	-0.02	27%	9 Mar →
ancient	19–17	0.04	17%	9 Mar →
nuke	13–6	-0.00	30%	9 Mar →
dust2	11–13	-0.01	16%	9 Mar →
mirage	11–13	0.05	28%	7 Mar →