forest — CS2 Stats

76561197996992209[U:1:36726481]Steam profile ↗✓ No bans

1,153Tracked matches52%Win rate2020Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

FaceitLevel 6 · 1,341 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning52

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLLWLTWWTWL

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

Player DNA

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

Aim7.2

Aggression6.0

Utility3.8

Positioning5.2

Opening Duels2.5

Clutch2.6

Limited utility dependence

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 b1t 88% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 670ms 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

Aim7.2

Positioning5.2

Utility3.8

Mechanics7.3

Opening Duels2.5

Win Impact5.6

Composite 5.1/10 (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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time662ms−15ms

first ⅓ avg 678ms → last ⅓ avg 662ms

Headshot accuracy20.4%+3.3%

first ⅓ avg 17.1% → last ⅓ avg 20.4%

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

0.11Best rating — mirage 13–3

13–0Biggest win — dust2

7Longest win streak

L2Current streak

1–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 67% over 12nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	20–17	54%	0.01
overpass	A	16	9–7	56%	-0.01
mirage	S	12	8–4	67%	0.02
nuke	D	9	2–7	22%	-0.00
inferno	B	8	4–4	50%	-0.01
ancient	D	8	2–6	25%	-0.02
cache	—	4	2–2	50%	0.02
anubis	—	3	2–1	67%	-0.04
office	—	1	1–0	100%	0.08
vertigo	—	1	1–0	100%	0.05
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

608Matches

50%Win rate

1.19Avg K/D

78.1ADR

40%Headshot %

Clutches & streaks

33%1v1 clutch win

29%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	49	45%	1.05	15.4
Anubis	37	59%	1.12	16.7
Dust2	26	58%	1.36	16.8
Overpass	18	56%	0.94	14.3
Inferno	17	35%	0.96	15.1
Vertigo	17	47%	1.06	18.0
Ancient	15	20%	1.21	13.4
Nuke	15	47%	1.17	15.3

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.

20.2%Headshot accuracy

36.8%Accuracy (enemy spotted)

36.6%Spray accuracy

82.9%Counter-strafing

9.1°Preaim

670msReaction time

38.0%T opening success

42.3%CT opening success

0.60Enemies flashed / flash

3.5%Flash assists

7.82HE damage / grenade

4.06Flashes / 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 37.966% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–13	0.01	35%	14 Aug →
anubis	2–13	-0.07	29%	14 Aug →
dust2	13–0	0.03	11%	14 Aug →
dust2	8–13	0.01	24%	27 May →
ancient	15–15	-0.01	13%	18 May →
office	13–8	0.08	23%	13 May →
mirage	13–9	-0.02	16%	13 May →
cache	12–12	0.09	17%	13 May →
cache	13–7	0.04	22%	30 Apr →
cache	2–13	-0.05	26%	30 Apr →
nuke	6–13	-0.02	21%	29 Apr →
cache	13–3	0.01	13%	29 Apr →
mirage	13–3	0.11	8%	15 Apr →
ancient	11–13	-0.03	22%	15 Apr →
overpass	13–9	0.05	24%	15 Apr →
mirage	15–15	-0.01	16%	14 Apr →
nuke	14–16	0.02	24%	25 Mar →
dust2	13–8	0.04	20%	24 Mar →
anubis	13–1	-0.06	44%	24 Mar →
overpass	13–9	-0.02	17%	17 Mar →
dust2	6–13	0.02	17%	15 Mar →
inferno	13–7	-0.00	18%	15 Mar →
dust2	11–13	-0.02	13%	10 Feb →
mirage	7–13	0.01	22%	10 Feb →
dust2	13–9	0.04	29%	10 Feb →
overpass	2–8	-0.03	18%	7 Feb →
mirage	13–4	0.03	13%	7 Feb →
nuke	11–13	0.02	14%	5 Feb →
dust2	4–13	-0.00	24%	4 Feb →
dust2	13–1	0.11	22%	30 Jan →
inferno	13–9	0.00	30%	29 Jan →
dust2	8–13	-0.02	8%	29 Jan →
overpass	13–6	-0.02	21%	29 Jan →
inferno	9–13	-0.05	16%	29 Jan →
dust2	9–13	0.02	23%	26 Jan →
dust2	13–3	0.01	19%	26 Jan →
anubis	13–11	0.01	21%	26 Jan →
dust2	8–13	-0.01	21%	24 Jan →
dust2	13–3	0.05	14%	23 Jan →
mirage	13–7	0.05	15%	22 Jan →
dust2	13–3	0.10	31%	21 Jan →
dust2	13–3	-0.02	22%	21 Jan →
nuke	3–13	-0.03	40%	19 Jan →
dust2	13–5	0.08	15%	19 Jan →
overpass	13–4	0.10	21%	19 Jan →
dust2	13–5	0.08	7%	19 Jan →
inferno	13–7	0.08	15%	19 Jan →
ancient	13–9	0.01	12%	16 Jan →
dust2	9–13	0.01	22%	16 Jan →
dust2	13–3	0.05	14%	13 Jan →
dust2	9–13	-0.06	12%	11 Jan →
dust2	13–5	-0.01	19%	9 Jan →
dust2	9–13	-0.02	17%	7 Jan →
mirage	11–13	0.00	13%	7 Jan →
mirage	13–2	-0.01	28%	6 Jan →
nuke	9–13	-0.02	15%	6 Jan →
nuke	5–13	-0.02	17%	6 Jan →
ancient	5–13	-0.01	9%	3 Jan →
dust2	4–13	-0.02	16%	3 Jan →
dust2	15–15	-0.03	26%	1 Jan →
overpass	13–3	-0.02	21%	1 Jan →
dust2	7–13	-0.01	19%	1 Jan →
dust2	5–13	-0.05	15%	31 Dec →
nuke	13–5	0.02	12%	31 Dec →
ancient	5–13	-0.04	11%	31 Dec →
dust2	14–16	0.03	11%	28 Dec →
overpass	13–10	-0.02	19%	27 Dec →
dust2	8–13	-0.04	13%	27 Dec →
mirage	13–2	0.05	24%	27 Dec →
mirage	13–4	0.01	7%	27 Dec →
overpass	12–16	-0.03	8%	26 Dec →
ancient	4–13	0.02	16%	26 Dec →
overpass	14–16	-0.03	18%	24 Dec →
dust2	13–9	0.00	15%	24 Dec →
nuke	13–7	0.09	15%	24 Dec →
dust2	13–8	-0.04	14%	23 Dec →
overpass	6–13	-0.06	17%	23 Dec →
overpass	8–13	-0.04	22%	20 Dec →
nuke	5–13	-0.05	12%	20 Dec →
vertigo	13–9	0.05	15%	18 Dec →
dust2	13–10	-0.05	20%	17 Dec →
train	13–6	0.10	11%	15 Dec →
inferno	6–13	-0.04	20%	15 Dec →
overpass	13–7	-0.05	19%	15 Dec →
dust2	13–5	-0.00	20%	15 Dec →
dust2	13–6	0.02	23%	15 Dec →
mirage	13–5	0.02	15%	13 Dec →
dust2	13–7	-0.00	19%	13 Dec →
dust2	13–7	-0.05	18%	11 Dec →
inferno	8–2	-0.02	33%	10 Dec →
overpass	8–13	-0.03	26%	10 Dec →
overpass	13–7	-0.02	10%	10 Dec →
dust2	11–13	-0.04	18%	10 Dec →
dust2	13–4	0.01	17%	9 Dec →
ancient	11–13	-0.05	15%	3 Dec →
inferno	11–13	-0.02	24%	3 Dec →
overpass	10–13	-0.03	11%	3 Dec →
mirage	8–13	-0.04	10%	2 Dec →
ancient	13–7	-0.03	16%	1 Dec →
overpass	13–10	0.02	24%	1 Dec →