dotkristian — CS2 Stats

76561197997042692[U:1:36776964]

712Tracked matches62%Win rate2021Tracked since

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating22,630Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#8750 of 34680 tracked

FaceitLevel 8 · 1,913 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning58

Utility79

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLWLWLWLWWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim6.5

Aggression5.9

Utility7.9

Positioning5.8

Opening Duels1.8

Clutch5.0

Strong CT-side openerHigh utility contribution

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: positioning profile, opening-fight frequency.

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

Strengths

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Positioning5.8

Utility7.9

Mechanics7.1

Opening Duels2.2

Win Impact9.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time585ms−27ms

first ⅓ avg 611ms → last ⅓ avg 585ms

Headshot accuracy14.2%+0.5%

first ⅓ avg 13.7% → last ⅓ avg 14.2%

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

0.14Best rating — mirage 13–5

13–2Biggest win — inferno

6Longest win streak

7–8In matches decided by ≤2 rounds

18Overtime games

Map breakdown

overpassBest map · 80% over 5cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	25	13–12	52%	0.00
dust2	B	23	11–12	48%	0.01
mirage	D	11	3–8	27%	0.01
ancient	S	11	8–3	73%	0.02
anubis	B	10	5–5	50%	0.01
nuke	A	9	5–4	56%	-0.02
cache	D	5	1–4	20%	0.02
overpass	S	5	4–1	80%	0.04
office	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Faceit stats

Combat

543Matches

52%Win rate

1.03Avg K/D

80.4ADR

36%Headshot %

Clutches & streaks

45%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	52	58%	1.03	14.5
Dust2	51	53%	1.08	14.9
Ancient	45	44%	0.98	15.4
Anubis	37	46%	1.03	14.4
Nuke	35	40%	0.97	15.3
Mirage	20	35%	1.07	16.1
Overpass	13	54%	0.99	15.2
Train	6	67%	1.02	12.5

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.

14.3%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.6%Spray accuracy

82.1%Counter-strafing

10.4°Preaim

573msReaction time

26.5%T opening success

47.7%CT opening success

0.55Enemies flashed / flash

9.3%Flash assists

12.61HE damage / grenade

17.53Flashes / 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 14.3117% — 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 26.4639% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	0.05	11%	22 Aug →
mirage	13–11	0.03	7%	22 Aug →
cache	4–13	-0.02	10%	19 Aug →
dust2	13–3	0.00	15%	19 Aug →
cache	4–13	-0.02	19%	19 Aug →
nuke	10–1	-0.01	27%	19 Aug →
cache	7–13	0.02	14%	16 Aug →
mirage	13–10	0.06	24%	16 Aug →
inferno	16–12	-0.00	19%	16 Aug →
anubis	2–13	-0.03	15%	11 Aug →
cache	13–7	0.05	14%	11 Aug →
inferno	16–12	0.01	14%	30 Jul →
dust2	13–3	0.10	12%	30 Jul →
ancient	13–5	0.13	13%	27 Jul →
inferno	13–11	0.02	11%	24 Jul →
ancient	13–8	0.01	21%	24 Jul →
anubis	11–13	0.02	16%	10 Jul →
nuke	8–13	-0.05	20%	10 Jul →
inferno	7–13	-0.08	9%	5 Jul →
anubis	13–9	0.04	9%	4 Jul →
inferno	13–2	0.11	12%	3 Jul →
mirage	14–16	0.08	21%	3 Jul →
dust2	13–5	0.10	25%	25 Jun →
inferno	8–13	0.10	19%	24 Jun →
overpass	15–15	0.03	13%	24 Jun →
anubis	13–4	0.06	4%	24 Jun →
nuke	13–5	0.01	8%	24 Jun →
inferno	13–5	-0.02	11%	24 Jun →
inferno	7–13	-0.04	2%	23 Jun →
ancient	13–6	0.08	14%	23 Jun →
mirage	11–13	0.00	20%	23 Jun →
mirage	2–13	-0.05	15%	23 Jun →
mirage	8–13	-0.06	4%	23 Jun →
dust2	11–13	0.02	8%	23 Jun →
inferno	6–13	-0.10	17%	23 Jun →
inferno	13–10	0.03	3%	22 Jun →
dust2	13–16	-0.03	17%	22 Jun →
dust2	11–13	-0.05	11%	22 Jun →
ancient	13–16	0.00	9%	16 Jun →
nuke	7–13	-0.03	16%	13 Jun →
inferno	14–16	-0.03	14%	13 Jun →
mirage	15–15	-0.04	12%	13 Jun →
ancient	13–9	-0.02	5%	13 Jun →
inferno	6–13	-0.03	16%	11 Jun →
inferno	7–13	-0.04	14%	11 Jun →
anubis	13–7	0.03	11%	9 Jun →
dust2	8–7	-0.00	16%	9 Jun →
inferno	4–13	-0.04	13%	9 Jun →
nuke	8–13	-0.02	8%	9 Jun →
dust2	13–8	-0.02	11%	2 Jun →
overpass	13–6	0.00	14%	2 Jun →
dust2	16–13	0.05	21%	1 Jun →
dust2	13–16	0.00	17%	29 May →
dust2	13–9	0.03	22%	29 May →
anubis	10–13	0.04	2%	29 May →
inferno	12–16	-0.01	12%	28 May →
inferno	2–13	-0.03	10%	28 May →
anubis	13–10	-0.03	5%	27 May →
dust2	10–13	-0.01	17%	26 May →
ancient	13–6	0.06	17%	25 May →
inferno	13–9	-0.00	17%	25 May →
ancient	15–15	-0.02	15%	24 May →
anubis	13–16	0.02	8%	23 May →
inferno	13–7	0.08	15%	22 May →
nuke	13–7	0.03	21%	22 May →
dust2	15–15	0.03	19%	22 May →
inferno	13–8	0.04	31%	21 May →
inferno	8–13	-0.06	20%	21 May →
mirage	3–13	-0.04	10%	21 May →
nuke	13–11	-0.05	11%	20 May →
overpass	13–6	0.02	12%	18 May →
mirage	15–15	-0.00	13%	18 May →
anubis	10–13	-0.07	9%	18 May →
office	1–13	0.04	5%	17 May →
nuke	9–13	-0.06	25%	16 May →
dust2	5–13	0.00	12%	16 May →
dust2	13–7	0.02	19%	14 May →
inferno	13–9	0.07	17%	13 May →
anubis	16–12	0.06	7%	12 May →
dust2	13–16	-0.03	11%	12 May →
dust2	13–4	0.06	22%	11 May →
inferno	13–11	0.00	9%	11 May →
dust2	10–13	0.01	12%	11 May →
overpass	13–7	0.06	25%	11 May →
inferno	13–5	0.02	15%	9 May →
overpass	13–4	0.07	15%	8 May →
inferno	13–8	-0.03	15%	8 May →
dust2	8–13	0.01	10%	8 May →
dust2	7–13	-0.08	6%	6 May →
dust2	13–11	0.03	7%	6 May →
nuke	16–12	0.01	4%	6 May →
dust2	11–13	-0.01	14%	6 May →
dust2	13–2	-0.03	8%	6 May →
ancient	13–11	0.00	13%	6 May →
mirage	13–5	0.14	19%	4 May →
mirage	6–13	0.01	19%	27 Apr →
ancient	13–8	0.03	15%	26 Apr →
ancient	9–13	-0.04	27%	25 Apr →
ancient	13–10	0.01	11%	25 Apr →
inferno	9–13	0.04	12%	25 Apr →