nofitenn — CS2 Stats

76561199887305180[U:1:1927039452]Steam profile ↗

481Tracked matches57%Win rate2025Tracked since

CSDB Rating3.7 Learning

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim27

Positioning48

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateTWWLLLTWWL

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

Aim2.7

Aggression7.3

Utility4.4

Positioning4.8

Opening Duels2.1

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 77% 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. 674ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7

Positioning4.8

Utility4.4

Mechanics2.1

Opening Duels2.1

Win Impact7.4

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time674ms−42ms

first ⅓ avg 716ms → last ⅓ avg 674ms

Headshot accuracy11.6%−0.3%

first ⅓ avg 11.9% → last ⅓ avg 11.6%

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

0.13Best rating — inferno 9–6

13–1Biggest win — mirage

4Longest win streak

5–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 52% over 48infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	48	25–23	52%	0.01
mirage	C	19	7–12	37%	-0.01
inferno	D	13	4–9	31%	-0.02
cache	B	10	5–5	50%	0.00
anubis	—	4	1–3	25%	0.00
nuke	—	3	1–2	33%	-0.07
office	—	1	0–1	0%	-0.08
overpass	—	1	1–0	100%	0.13
ancient	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.2%Headshot accuracy

32.5%Accuracy (enemy spotted)

38.8%Spray accuracy

59.3%Counter-strafing

13.0°Preaim

674msReaction time

35.1%T opening success

41.7%CT opening success

0.56Enemies flashed / flash

4.8%Flash assists

5.27HE damage / grenade

9.07Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9989° — above the 12° mark we flag
Aim Training →
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 12.2077% — below the 15% mark we flag
Aim Training →

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	12–12	-0.02	2%	29 Aug →
mirage	13–1	0.10	8%	29 Aug →
anubis	13–2	-0.00	8%	28 Aug →
dust2	5–13	0.09	23%	28 Aug →
dust2	10–13	-0.07	7%	27 Aug →
office	5–13	-0.08	17%	27 Aug →
cache	12–12	-0.05	12%	27 Aug →
dust2	13–6	-0.09	17%	27 Aug →
dust2	13–5	0.07	18%	27 Aug →
anubis	7–13	0.07	12%	27 Aug →
dust2	13–3	0.00	17%	27 Aug →
dust2	13–10	-0.05	10%	27 Aug →
mirage	10–13	-0.07	12%	27 Aug →
dust2	13–5	0.04	0%	27 Aug →
dust2	5–13	-0.04	7%	26 Aug →
cache	3–13	-0.09	7%	26 Aug →
dust2	13–4	-0.02	13%	26 Aug →
inferno	0–9	-0.23	0%	26 Aug →
dust2	13–5	0.08	13%	26 Aug →
dust2	13–4	-0.01	3%	26 Aug →
dust2	13–3	0.12	17%	26 Aug →
dust2	1–13	-0.11	4%	26 Aug →
mirage	13–7	0.02	13%	25 Aug →
dust2	13–11	0.02	9%	25 Aug →
dust2	9–13	-0.02	15%	25 Aug →
dust2	13–5	0.10	16%	25 Aug →
overpass	13–4	0.13	12%	24 Aug →
dust2	6–13	-0.04	14%	24 Aug →
mirage	9–13	0.07	14%	24 Aug →
dust2	13–11	-0.00	14%	24 Aug →
dust2	6–13	0.06	29%	24 Aug →
dust2	13–11	-0.00	16%	24 Aug →
dust2	11–13	0.03	5%	24 Aug →
dust2	1–13	-0.05	14%	24 Aug →
dust2	13–4	0.01	13%	24 Aug →
dust2	10–1	0.07	0%	24 Aug →
dust2	13–7	0.01	13%	24 Aug →
dust2	13–10	0.04	17%	23 Aug →
dust2	11–13	0.00	13%	23 Aug →
dust2	13–8	0.04	10%	23 Aug →
mirage	13–9	-0.03	10%	23 Aug →
dust2	13–7	0.12	22%	23 Aug →
dust2	9–13	-0.06	12%	23 Aug →
mirage	13–10	-0.01	17%	23 Aug →
dust2	12–12	0.04	14%	23 Aug →
cache	4–3	0.02	5%	23 Aug →
ancient	8–1	-0.07	4%	23 Aug →
dust2	13–2	0.02	14%	23 Aug →
inferno	8–8	0.04	7%	23 Aug →
nuke	3–9	-0.17	20%	23 Aug →
inferno	7–13	-0.06	12%	22 Aug →
mirage	4–13	-0.07	9%	22 Aug →
dust2	11–7	0.04	16%	22 Aug →
cache	12–12	-0.03	10%	22 Aug →
dust2	3–6	-0.10	24%	22 Aug →
nuke	6–9	-0.06	23%	22 Aug →
nuke	9–5	0.02	17%	22 Aug →
anubis	15–15	0.00	8%	21 Aug →
dust2	13–5	0.11	16%	21 Aug →
inferno	7–9	-0.04	17%	21 Aug →
mirage	10–13	-0.02	10%	14 Aug →
cache	10–13	0.03	14%	14 Aug →
mirage	3–13	0.04	10%	14 Aug →
anubis	3–13	-0.05	19%	14 Aug →
dust2	13–5	0.07	10%	14 Aug →
mirage	9–13	-0.02	17%	14 Aug →
dust2	5–13	0.03	19%	14 Aug →
dust2	11–13	0.05	18%	14 Aug →
inferno	6–9	-0.05	2%	13 Aug →
inferno	6–9	-0.10	9%	13 Aug →
inferno	9–6	0.13	9%	13 Aug →
dust2	9–13	-0.02	14%	13 Aug →
inferno	9–6	0.02	12%	12 Aug →
dust2	3–13	-0.00	23%	12 Aug →
dust2	13–10	0.02	10%	11 Aug →
inferno	7–9	-0.01	8%	11 Aug →
dust2	7–13	-0.03	7%	11 Aug →
dust2	6–13	-0.02	13%	11 Aug →
mirage	7–13	-0.07	7%	15 Jul →
dust2	6–13	-0.12	7%	15 Jul →
cache	6–13	-0.04	15%	14 Jul →
mirage	5–13	-0.03	2%	14 Jul →
cache	13–10	0.05	17%	14 Jul →
dust2	12–12	-0.05	17%	14 Jul →
dust2	9–13	0.03	17%	13 Jul →
mirage	8–13	-0.00	9%	13 Jul →
inferno	9–5	0.05	28%	13 Jul →
inferno	6–9	0.00	9%	13 Jul →
inferno	9–3	0.06	19%	13 Jul →
inferno	2–9	-0.10	21%	13 Jul →
mirage	13–1	-0.03	13%	12 Jul →
mirage	13–6	0.05	13%	12 Jul →
mirage	13–2	-0.02	4%	12 Jul →
mirage	4–13	-0.04	7%	2 Jul →
cache	13–11	-0.05	9%	2 Jul →
dust2	8–13	-0.03	17%	2 Jul →
mirage	5–10	-0.03	8%	2 Jul →
dust2	11–4	-0.03	3%	2 Jul →
cache	13–4	0.11	10%	1 Jul →
cache	13–1	0.06	18%	1 Jul →