crimson — CS2 Stats

76561199225201890[U:1:1264936162]Steam profile ↗✓ No bans

475Tracked matches48%Win rate2023Tracked since

CSDB Rating4.5 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim64

Positioning41

Utility35

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateWLLLWTWLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.4

Aggression4.3

Utility3.5

Positioning4.1

Opening Duels1.4

Clutch5.2

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 82% playstyle similarity

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

Where you differ: lower utility contribution; 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. 625ms 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

Aim6.4

Positioning4.1

Utility3.5

Mechanics7.9

Opening Duels1.4

Win Impact4.4

Composite 4.5/10 (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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time621ms−50ms

first ⅓ avg 671ms → last ⅓ avg 621ms

Headshot accuracy14.8%−3.6%

first ⅓ avg 18.5% → last ⅓ avg 14.8%

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

0.08Best rating — mirage 11–13

13–0Biggest win — train

5Longest win streak

12–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 69% over 13dust2Weakest map · 33% over 27

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	27	9–18	33%	-0.02
mirage	B	17	8–9	47%	-0.02
ancient	B	16	8–8	50%	-0.01
nuke	S	13	9–4	69%	-0.01
cache	B	13	6–7	46%	-0.03
inferno	B	8	4–4	50%	-0.03
anubis	—	4	2–2	50%	-0.03
vertigo	—	1	1–0	100%	0.04
train	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

73Matches

52%Win rate

0.85Avg K/D

72.0ADR

45%Headshot %

Clutches & streaks

46%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	20	55%	0.83	14.9
Mirage	13	38%	0.79	13.4
Ancient	13	62%	0.87	14.4
Nuke	10	70%	1.03	13.9
Cache	9	67%	0.84	11.9
Inferno	4	0%	0.62	11.3
Overpass	3	33%	0.79	11.0
Train	1	0%	1.00	24.0

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.

15.2%Headshot accuracy

33.9%Accuracy (enemy spotted)

34.1%Spray accuracy

85.5%Counter-strafing

9.7°Preaim

625msReaction time

31.6%T opening success

39.9%CT opening success

0.45Enemies flashed / flash

5.4%Flash assists

3.82HE damage / grenade

6.25Flashes / 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 0.4515 — 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 31.6188% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–12	0.01	8%	27 Aug →
anubis	9–13	-0.08	18%	23 Aug →
dust2	11–13	-0.08	8%	23 Aug →
mirage	7–13	-0.05	17%	22 Aug →
vertigo	13–11	0.04	15%	19 Aug →
nuke	12–12	0.02	18%	18 Aug →
train	13–0	-0.01	10%	18 Aug →
dust2	11–13	-0.00	15%	17 Aug →
mirage	8–13	-0.08	14%	17 Aug →
ancient	8–13	-0.02	14%	10 Aug →
dust2	6–13	-0.03	17%	10 Aug →
nuke	11–13	-0.02	15%	10 Aug →
dust2	11–13	-0.08	10%	7 Aug →
mirage	8–13	0.00	14%	7 Aug →
mirage	13–10	-0.04	15%	7 Aug →
ancient	13–11	-0.03	17%	7 Aug →
mirage	13–8	-0.04	20%	6 Aug →
dust2	11–13	-0.03	18%	6 Aug →
dust2	13–5	0.01	8%	5 Aug →
mirage	13–5	0.03	7%	5 Aug →
ancient	13–7	0.04	15%	5 Aug →
mirage	16–14	-0.01	30%	3 Aug →
ancient	13–9	-0.03	16%	3 Aug →
cache	4–13	-0.05	17%	3 Aug →
dust2	10–13	-0.10	12%	31 Jul →
inferno	13–5	-0.08	15%	31 Jul →
ancient	16–13	-0.03	21%	31 Jul →
inferno	9–13	-0.03	15%	31 Jul →
dust2	13–10	-0.01	14%	30 Jul →
mirage	11–13	-0.02	15%	28 Jul →
inferno	13–5	0.03	17%	28 Jul →
anubis	13–11	0.03	11%	28 Jul →
cache	13–4	0.02	16%	27 Jul →
ancient	13–0	0.01	13%	27 Jul →
dust2	12–12	-0.07	10%	26 Jul →
inferno	13–8	-0.01	14%	26 Jul →
ancient	12–12	-0.03	13%	26 Jul →
cache	12–12	-0.04	20%	26 Jul →
cache	13–11	-0.04	11%	26 Jul →
dust2	12–12	-0.03	7%	26 Jul →
mirage	8–13	-0.05	11%	24 Jul →
dust2	13–11	0.01	19%	24 Jul →
dust2	19–15	-0.04	17%	23 Jul →
ancient	9–13	-0.04	18%	23 Jul →
mirage	13–11	-0.06	11%	23 Jul →
nuke	13–3	-0.05	18%	22 Jul →
ancient	9–13	-0.04	14%	22 Jul →
mirage	13–11	-0.03	17%	22 Jul →
dust2	13–10	-0.05	5%	22 Jul →
anubis	10–13	-0.03	17%	21 Jul →
inferno	6–9	-0.05	13%	18 Jul →
inferno	6–13	-0.00	14%	18 Jul →
dust2	2–13	0.04	23%	18 Jul →
dust2	13–10	-0.01	29%	17 Jul →
cache	8–13	-0.03	24%	17 Jul →
cache	13–7	0.07	26%	17 Jul →
cache	13–8	-0.06	24%	14 Jul →
ancient	12–12	-0.04	10%	13 Jul →
nuke	13–7	-0.03	10%	13 Jul →
dust2	9–13	-0.01	20%	13 Jul →
cache	6–13	-0.07	4%	13 Jul →
nuke	13–3	0.03	15%	13 Jul →
mirage	12–12	-0.07	12%	12 Jul →
inferno	5–13	-0.07	23%	12 Jul →
anubis	13–4	-0.04	19%	12 Jul →
dust2	8–13	-0.02	3%	10 Jul →
mirage	13–11	-0.01	31%	10 Jul →
mirage	13–5	0.07	20%	9 Jul →
cache	10–13	-0.01	16%	9 Jul →
dust2	11–13	-0.04	18%	6 Jul →
ancient	10–13	0.01	20%	6 Jul →
ancient	13–3	-0.00	21%	6 Jul →
dust2	11–13	-0.07	9%	6 Jul →
dust2	6–13	-0.03	11%	4 Jul →
ancient	13–11	-0.03	19%	4 Jul →
dust2	5–13	0.01	20%	4 Jul →
ancient	8–13	-0.05	15%	3 Jul →
mirage	11–13	0.08	10%	3 Jul →
nuke	13–7	-0.03	9%	2 Jul →
mirage	6–13	0.01	18%	2 Jul →
dust2	13–11	0.07	21%	2 Jul →
ancient	13–11	-0.00	27%	2 Jul →
nuke	13–5	-0.03	17%	2 Jul →
nuke	7–13	0.01	7%	1 Jul →
mirage	5–13	-0.05	13%	1 Jul →
cache	9–13	-0.05	26%	30 Jun →
cache	13–8	0.02	14%	30 Jun →
nuke	13–4	-0.02	24%	30 Jun →
ancient	11–13	0.06	19%	29 Jun →
nuke	3–13	-0.04	19%	29 Jun →
dust2	14–16	0.03	23%	29 Jun →
cache	1–13	-0.09	24%	27 Jun →
cache	13–7	0.02	24%	27 Jun →
dust2	12–12	0.00	26%	27 Jun →
dust2	5–13	-0.03	23%	26 Jun →
dust2	8–4	-0.05	0%	26 Jun →
dust2	13–7	-0.04	21%	25 Jun →
nuke	13–4	0.06	22%	25 Jun →
inferno	13–8	-0.01	29%	25 Jun →
nuke	13–7	-0.05	24%	25 Jun →