Cig_13 — CS2 Stats

76561198198762958[U:1:238497230]Steam profile ↗✓ No bans

2,200Tracked matches47%Win rate2020Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

FaceitLevel 7 · 1,332 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning51

Utility74

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateWLLLLLWLLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim7.0

Aggression5.4

Utility7.4

Positioning5.1

Opening Duels2.0

Clutch4.4

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.

Your pro match

Plays most like Twistzz 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim7.0

Positioning5.1

Utility7.4

Mechanics6.2

Opening Duels2.2

Win Impact3.9

Composite 5.2/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time616ms−36ms

first ⅓ avg 652ms → last ⅓ avg 616ms

Headshot accuracy12.4%+0.1%

first ⅓ avg 12.3% → last ⅓ avg 12.4%

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

0.17Best rating — anubis 13–6

13–0Biggest win — inferno

4Longest win streak

7–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 75% over 24ancientWeakest map · 41% over 22

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	24	18–6	75%	0.02
inferno	C	23	10–13	43%	0.00
ancient	C	22	9–13	41%	0.03
nuke	C	14	6–8	43%	0.01
cache	B	6	3–3	50%	0.03
mirage	—	4	0–4	0%	-0.03
dust2	—	4	1–3	25%	0.01
overpass	—	2	0–2	0%	-0.04
train	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,079Matches

49%Win rate

1.13Avg K/D

82.2ADR

35%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	256	54%	1.20	17.2
Anubis	208	52%	1.14	17.1
Inferno	207	47%	1.13	16.1
Nuke	162	45%	1.09	16.2
Dust2	82	48%	1.05	16.4
Mirage	58	41%	1.12	15.7
Overpass	54	43%	1.05	15.6
Train	36	44%	1.24	16.7

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.

12.6%Headshot accuracy

37.0%Accuracy (enemy spotted)

40.0%Spray accuracy

77.8%Counter-strafing

8.2°Preaim

607msReaction time

28.2%T opening success

47.7%CT opening success

0.64Enemies flashed / flash

6.2%Flash assists

10.40HE damage / grenade

24.22Flashes / 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.

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 12.5819% — below the 15% mark we flag
Aim Training →
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 28.2096% — below the 40% mark we flag

Spend your practice time on Ancient

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–11	0.02	13%	30 Aug →
inferno	13–16	-0.03	14%	30 Aug →
inferno	5–13	0.02	10%	29 Aug →
mirage	3–13	-0.05	9%	29 Aug →
nuke	10–13	0.06	13%	29 Aug →
ancient	8–13	0.07	25%	29 Aug →
anubis	13–6	0.06	14%	29 Aug →
inferno	7–13	-0.03	24%	25 Aug →
nuke	5–13	-0.03	24%	25 Aug →
anubis	13–11	0.01	13%	24 Aug →
inferno	13–11	0.02	15%	24 Aug →
inferno	13–8	0.07	13%	23 Aug →
nuke	9–13	-0.03	15%	21 Aug →
inferno	13–0	0.02	16%	21 Aug →
mirage	6–13	-0.03	9%	21 Aug →
ancient	13–5	0.05	8%	21 Aug →
train	13–6	0.01	8%	21 Aug →
anubis	10–6	-0.06	9%	21 Aug →
inferno	9–13	-0.01	19%	20 Aug →
dust2	10–13	0.01	12%	20 Aug →
ancient	5–13	0.06	7%	20 Aug →
cache	13–10	0.06	15%	20 Aug →
nuke	7–13	-0.06	17%	19 Aug →
ancient	13–4	0.06	7%	19 Aug →
inferno	13–10	0.03	4%	17 Aug →
ancient	3–13	-0.12	7%	17 Aug →
inferno	13–10	-0.07	4%	16 Aug →
anubis	13–8	0.02	3%	16 Aug →
ancient	7–13	0.09	14%	14 Aug →
ancient	9–13	-0.03	15%	12 Aug →
anubis	13–7	0.00	0%	10 Aug →
anubis	13–11	-0.04	17%	10 Aug →
ancient	11–13	0.01	18%	10 Aug →
anubis	7–13	0.04	16%	9 Aug →
nuke	19–15	0.07	11%	9 Aug →
anubis	13–4	0.07	9%	9 Aug →
anubis	13–5	-0.03	10%	9 Aug →
mirage	3–13	-0.01	9%	6 Aug →
ancient	6–13	-0.06	10%	6 Aug →
anubis	13–16	-0.03	7%	4 Aug →
inferno	13–9	0.07	17%	4 Aug →
anubis	13–5	0.10	16%	4 Aug →
nuke	13–3	0.13	24%	4 Aug →
nuke	13–6	-0.03	27%	3 Aug →
ancient	8–13	-0.02	20%	3 Aug →
nuke	7–13	-0.03	15%	3 Aug →
nuke	13–7	0.06	15%	2 Aug →
inferno	7–13	-0.05	13%	2 Aug →
anubis	5–13	-0.01	16%	2 Aug →
ancient	11–13	0.04	12%	30 Jul →
inferno	1–13	-0.02	6%	29 Jul →
ancient	13–8	0.02	12%	29 Jul →
cache	13–8	0.03	10%	28 Jul →
inferno	6–13	0.00	17%	27 Jul →
anubis	11–13	-0.01	6%	25 Jul →
nuke	13–10	0.01	5%	24 Jul →
ancient	13–4	0.02	11%	24 Jul →
anubis	13–11	-0.00	4%	23 Jul →
inferno	11–13	-0.01	20%	23 Jul →
inferno	13–2	0.02	5%	23 Jul →
inferno	13–6	0.01	14%	22 Jul →
ancient	10–13	-0.01	19%	22 Jul →
cache	11–13	-0.01	11%	21 Jul →
cache	5–13	0.01	19%	21 Jul →
nuke	13–8	0.02	31%	20 Jul →
anubis	11–13	-0.06	12%	16 Jul →
ancient	13–6	0.05	16%	15 Jul →
anubis	13–7	0.12	8%	14 Jul →
ancient	13–7	0.08	12%	11 Jul →
anubis	13–2	0.08	13%	11 Jul →
inferno	11–13	0.01	18%	11 Jul →
nuke	9–13	0.01	11%	9 Jul →
anubis	13–6	0.17	11%	9 Jul →
inferno	13–7	0.01	11%	9 Jul →
ancient	13–16	0.04	7%	9 Jul →
cache	13–11	0.01	22%	9 Jul →
mirage	8–13	-0.02	11%	9 Jul →
inferno	13–16	0.06	9%	7 Jul →
ancient	13–6	0.07	16%	7 Jul →
cache	4–13	0.07	10%	6 Jul →
ancient	11–13	0.05	13%	5 Jul →
dust2	13–11	-0.01	15%	5 Jul →
inferno	13–9	0.02	16%	5 Jul →
nuke	10–13	-0.00	12%	1 Jul →
overpass	13–16	-0.01	6%	1 Jul →
anubis	13–8	0.05	9%	1 Jul →
inferno	5–13	-0.05	22%	28 Jun →
ancient	4–13	-0.01	10%	28 Jun →
inferno	1–13	-0.07	13%	23 Jun →
anubis	13–5	-0.01	8%	23 Jun →
nuke	15–15	-0.02	12%	23 Jun →
inferno	7–13	0.01	10%	23 Jun →
overpass	10–13	-0.07	10%	22 Jun →
dust2	7–13	0.02	9%	22 Jun →
anubis	13–1	-0.04	15%	18 Jun →
ancient	13–10	0.07	14%	18 Jun →
anubis	13–4	0.05	9%	18 Jun →
dust2	11–13	0.02	18%	18 Jun →
anubis	4–13	-0.07	21%	17 Jun →
ancient	13–8	0.05	7%	17 Jun →