Swagot — CS2 Stats

76561198132585034[U:1:172319306]

1,652Tracked matches57%Win rate2023Tracked since

1,368Hours in CS

CSDB Rating4.9 Developing

Premier CS Rating13,058Blue band · top ~38.7% of ranked players (population est.)

CSDB Leaderboard#8300 of 11988 tracked

FaceitLevel 4 · 838 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning42

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLTLWWWWWLW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim5.9

Aggression5.5

Utility4.6

Positioning4.2

Opening Duels1.8

Clutch2.0

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 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 676ms 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

Aim5.9

Positioning4.2

Utility4.6

Mechanics6.3

Opening Duels1.8

Win Impact7.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time671ms−45ms

first ⅓ avg 716ms → last ⅓ avg 671ms

Headshot accuracy21.3%−0.7%

first ⅓ avg 22.1% → last ⅓ avg 21.3%

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 13–0

13–0Biggest win — anubis

5Longest win streak

9–2In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 71% over 7cacheWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	13–19	41%	-0.00
mirage	A	25	14–11	56%	-0.00
cache	D	12	3–9	25%	0.01
inferno	C	10	4–6	40%	-0.02
ancient	A	8	5–3	63%	-0.02
nuke	S	7	5–2	71%	-0.01
anubis	S	6	4–2	67%	0.00

Across the last 100 tracked matches.

Lifetime stats

52,252Lifetime kills

0.80K/D

3,452Matches

41.5%Match win rate

44.6%Headshot %

6.6%Shot accuracy

6,007MVPs

1,368Hours (in match)

2,356Bombs planted

690Bombs defused

Most-used weapons

AK-4715,411

M4A4 / M4A1-S9,137

AWP5,904

P2000 / USP-S3,917

Glock-182,562

Desert Eagle2,050

MAC-101,733

MP91,376

Galil AR1,285

MP71,164

Lifetime map wins

10,493dust2

3,348inferno

2,721nuke

500train

392office

274cbble

144vertigo

72lake

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

Faceit stats

Combat

303Matches

50%Win rate

0.89Avg K/D

71.2ADR

48%Headshot %

Clutches & streaks

30%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	91	47%	0.81	13.2
Mirage	76	47%	0.85	12.5
Ancient	42	52%	1.01	14.6
Nuke	34	38%	0.88	11.7
Inferno	31	65%	1.13	15.7
Anubis	10	60%	0.88	17.6
Overpass	8	75%	0.64	10.0
Train	6	50%	0.71	11.7

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.

20.7%Headshot accuracy

34.9%Accuracy (enemy spotted)

36.0%Spray accuracy

78.3%Counter-strafing

11.2°Preaim

676msReaction time

36.9%T opening success

37.4%CT opening success

0.63Enemies flashed / flash

8.2%Flash assists

5.21HE damage / grenade

6.31Flashes / 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 36.9328% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	-0.06	42%	26 Aug →
inferno	15–15	-0.06	18%	18 Aug →
dust2	7–13	-0.07	19%	18 Aug →
inferno	13–7	-0.01	22%	17 Aug →
ancient	13–5	-0.08	5%	17 Aug →
mirage	13–8	-0.01	38%	9 Aug →
dust2	13–9	-0.04	19%	9 Aug →
mirage	13–10	-0.06	18%	9 Aug →
dust2	8–13	-0.02	26%	7 Aug →
mirage	13–4	0.05	40%	7 Aug →
cache	6–13	-0.02	17%	7 Aug →
cache	6–13	-0.09	9%	6 Aug →
mirage	13–7	-0.02	23%	6 Aug →
nuke	13–8	-0.03	12%	6 Aug →
ancient	10–13	-0.04	16%	5 Aug →
ancient	13–7	0.06	22%	5 Aug →
mirage	4–13	0.01	19%	4 Aug →
dust2	13–11	0.03	14%	4 Aug →
inferno	7–13	-0.02	21%	4 Aug →
mirage	13–11	0.00	21%	3 Aug →
cache	7–13	0.07	12%	2 Aug →
mirage	5–13	0.03	21%	2 Aug →
cache	13–7	0.01	24%	1 Aug →
nuke	13–8	0.03	18%	1 Aug →
nuke	13–3	0.04	18%	1 Aug →
inferno	13–7	-0.00	20%	31 Jul →
dust2	13–4	0.00	19%	31 Jul →
inferno	6–13	-0.01	29%	31 Jul →
mirage	4–13	-0.06	20%	31 Jul →
dust2	15–15	-0.01	24%	31 Jul →
dust2	3–13	-0.03	28%	31 Jul →
nuke	16–14	0.03	18%	30 Jul →
dust2	13–4	-0.01	32%	29 Jul →
mirage	16–14	0.00	15%	29 Jul →
inferno	10–13	-0.02	9%	29 Jul →
anubis	3–13	-0.08	31%	29 Jul →
mirage	5–13	-0.01	17%	29 Jul →
mirage	7–13	0.11	23%	29 Jul →
dust2	9–13	0.06	11%	28 Jul →
anubis	9–13	-0.09	10%	28 Jul →
inferno	10–13	-0.07	20%	28 Jul →
inferno	5–13	0.02	18%	28 Jul →
ancient	13–9	0.11	22%	27 Jul →
mirage	13–9	0.06	16%	27 Jul →
ancient	13–7	-0.09	15%	27 Jul →
dust2	14–16	-0.03	24%	26 Jul →
mirage	13–10	-0.03	17%	26 Jul →
dust2	12–12	-0.02	14%	26 Jul →
inferno	13–9	-0.06	10%	24 Jul →
dust2	13–8	0.02	23%	24 Jul →
nuke	7–13	-0.00	34%	22 Jul →
cache	13–2	0.09	20%	22 Jul →
mirage	13–11	-0.01	32%	16 Jul →
dust2	10–13	-0.01	22%	16 Jul →
dust2	7–13	-0.02	15%	16 Jul →
dust2	13–7	0.05	16%	16 Jul →
mirage	2–13	0.08	15%	16 Jul →
ancient	13–9	-0.09	8%	15 Jul →
inferno	13–11	0.01	23%	15 Jul →
nuke	10–13	-0.07	18%	15 Jul →
dust2	10–13	0.01	25%	14 Jul →
dust2	13–11	0.01	23%	14 Jul →
dust2	13–9	0.02	30%	14 Jul →
mirage	13–10	0.02	13%	14 Jul →
dust2	7–13	-0.01	13%	14 Jul →
dust2	9–13	-0.04	15%	14 Jul →
mirage	13–3	-0.02	19%	13 Jul →
mirage	13–7	0.03	26%	13 Jul →
dust2	8–13	-0.01	28%	13 Jul →
dust2	13–10	-0.07	26%	13 Jul →
cache	4–13	0.08	44%	13 Jul →
dust2	10–13	0.05	20%	12 Jul →
anubis	13–0	0.17	31%	12 Jul →
dust2	4–13	-0.00	23%	12 Jul →
mirage	11–13	-0.00	21%	9 Jul →
anubis	16–12	-0.04	13%	9 Jul →
cache	9–13	-0.06	16%	9 Jul →
dust2	13–1	0.01	17%	8 Jul →
cache	8–13	-0.04	35%	8 Jul →
cache	6–13	0.02	21%	8 Jul →
cache	4–13	0.01	14%	8 Jul →
ancient	4–13	-0.01	22%	8 Jul →
dust2	12–12	-0.06	20%	8 Jul →
cache	8–13	-0.03	17%	7 Jul →
cache	13–1	0.06	36%	7 Jul →
mirage	10–13	-0.09	13%	6 Jul →
dust2	13–11	0.07	22%	6 Jul →
anubis	13–10	-0.01	20%	6 Jul →
mirage	10–13	0.02	28%	6 Jul →
mirage	13–4	0.05	31%	6 Jul →
mirage	7–13	-0.07	19%	6 Jul →
mirage	0–13	-0.06	18%	6 Jul →
dust2	13–4	0.05	25%	6 Jul →
dust2	13–9	0.07	25%	6 Jul →
ancient	8–13	0.01	20%	6 Jul →
dust2	5–13	-0.04	19%	5 Jul →
mirage	13–9	-0.05	15%	5 Jul →
dust2	10–13	-0.03	15%	5 Jul →
anubis	13–8	0.06	17%	5 Jul →
nuke	13–11	-0.04	14%	5 Jul →