Wintersport_SD — CS2 Stats

DE76561198102710397[U:1:142444669]Steam profile ↗✓ No bans

2,157Tracked matches47%Win rate2021Tracked since

1,302Hours in CS

CSDB Rating4.9 DevelopingHybrid Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim68

Positioning50

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLLLWWLLWLW

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

Player DNA

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

Aim6.8

Aggression6.6

Utility5.3

Positioning5.0

Opening Duels1.5

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 Twistzz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 584ms 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

Aim6.8

Positioning5.0

Utility5.3

Mechanics6.8

Opening Duels1.5

Win Impact3.9

Composite 4.9/10 (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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time581ms−31ms

first ⅓ avg 612ms → last ⅓ avg 581ms

Headshot accuracy15.4%−0.6%

first ⅓ avg 16.0% → last ⅓ avg 15.4%

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

0.15Best rating — overpass 9–3

13–1Biggest win — inferno

5Longest win streak

L3Current streak

4–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 73% over 15mirageWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	16–16	50%	-0.03
overpass	S	15	11–4	73%	0.02
mirage	D	14	3–11	21%	-0.02
cache	B	13	6–7	46%	-0.01
ancient	D	9	3–6	33%	-0.01
dust2	B	6	3–3	50%	0.01
nuke	—	4	1–3	25%	0.00
anubis	—	3	2–1	67%	-0.00
office	—	2	1–1	50%	0.00
train	—	1	0–1	0%	0.01
stronghold	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,011Lifetime kills

0.96K/D

3,324Matches

40.5%Match win rate

49.7%Headshot % · Top 50% of tracked players

11.9%Shot accuracy

5,955MVPs

1,302Hours (in match)

2,566Bombs planted

606Bombs defused

Most-used weapons

AK-4717,415

M4A4 / M4A1-S12,715

P2000 / USP-S3,905

Glock-183,431

Desert Eagle3,139

Galil AR2,273

AWP1,971

FAMAS1,953

MP91,733

P901,269

Lifetime map wins

11,081inferno

2,102dust2

1,501office

574nuke

394vertigo

280train

135italy

51cbble

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

Faceit stats

Combat

196Matches

53%Win rate

0.91Avg K/D

76.1ADR

46%Headshot %

Clutches & streaks

46%1v1 clutch win

18%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	56	38%	0.80	12.9
Inferno	51	63%	0.97	14.2
Ancient	34	56%	0.87	13.7
Anubis	27	70%	1.04	14.2
Dust2	9	44%	0.91	15.9
Overpass	7	43%	1.08	17.1
Nuke	4	50%	0.68	14.3
Train	3	67%	0.94	19.3

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.

15.5%Headshot accuracy

34.1%Accuracy (enemy spotted)

36.8%Spray accuracy

80.4%Counter-strafing

9.4°Preaim

584msReaction time

31.0%T opening success

41.3%CT opening success

0.52Enemies flashed / flash

8.6%Flash assists

8.65HE damage / grenade

7.11Flashes / 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 31.0074% — below the 40% mark we flag

Spend your practice time on Mirage

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	10–13	-0.06	20%	26 Aug →
mirage	8–13	-0.09	10%	26 Aug →
inferno	4–13	-0.03	22%	24 Aug →
inferno	13–9	0.00	10%	7 Aug →
cache	13–8	0.05	21%	7 Aug →
overpass	8–13	-0.10	14%	7 Aug →
cache	3–13	-0.07	22%	7 Aug →
overpass	13–10	0.01	13%	6 Aug →
ancient	9–13	-0.01	18%	4 Aug →
inferno	16–14	-0.03	12%	1 Aug →
ancient	8–13	-0.08	26%	30 Jul →
dust2	5–13	0.04	17%	20 Jul →
mirage	2–13	0.07	24%	20 Jul →
inferno	13–3	0.00	18%	16 Jul →
cache	13–4	-0.02	18%	16 Jul →
inferno	13–5	-0.05	14%	14 Jul →
inferno	2–13	-0.06	14%	9 Jul →
cache	13–2	0.02	11%	9 Jul →
mirage	6–13	-0.06	7%	6 Jul →
ancient	13–5	0.03	16%	6 Jul →
anubis	13–5	0.01	17%	6 Jul →
overpass	13–11	0.07	11%	5 Jul →
overpass	8–13	-0.03	5%	5 Jul →
overpass	9–3	0.15	10%	4 Jul →
inferno	5–9	-0.04	16%	4 Jul →
nuke	9–5	0.08	13%	4 Jul →
dust2	16–14	0.03	16%	3 Jul →
inferno	13–3	0.02	23%	3 Jul →
dust2	13–3	-0.00	18%	2 Jul →
inferno	11–13	-0.05	18%	2 Jul →
mirage	14–16	-0.02	21%	2 Jul →
mirage	5–13	-0.01	9%	26 Jun →
inferno	6–13	-0.08	4%	26 Jun →
inferno	11–13	-0.01	21%	23 Jun →
inferno	13–7	-0.04	21%	23 Jun →
mirage	5–13	-0.02	16%	23 Jun →
nuke	11–13	0.01	21%	18 Jun →
anubis	13–10	-0.02	15%	18 Jun →
cache	10–13	0.05	21%	17 Jun →
overpass	13–8	0.01	13%	17 Jun →
inferno	13–10	0.01	22%	17 Jun →
train	8–13	0.01	15%	17 Jun →
inferno	13–7	-0.00	15%	16 Jun →
nuke	6–13	-0.07	29%	16 Jun →
mirage	7–13	-0.03	17%	12 Jun →
dust2	2–13	-0.08	14%	12 Jun →
mirage	13–4	-0.00	14%	12 Jun →
cache	11–13	0.03	15%	3 Jun →
mirage	13–9	-0.04	5%	3 Jun →
office	12–12	0.03	18%	3 Jun →
overpass	6–13	0.04	25%	3 Jun →
overpass	3–13	0.06	18%	3 Jun →
inferno	2–13	-0.08	11%	3 Jun →
cache	10–13	0.02	26%	3 Jun →
dust2	13–8	0.02	19%	3 Jun →
ancient	13–10	0.07	14%	3 Jun →
cache	3–13	-0.10	6%	2 Jun →
inferno	13–1	-0.07	14%	2 Jun →
inferno	8–8	-0.11	20%	2 Jun →
inferno	9–5	0.02	23%	2 Jun →
cache	13–5	0.01	9%	2 Jun →
cache	13–11	0.04	17%	2 Jun →
mirage	13–8	0.05	16%	2 Jun →
overpass	13–10	-0.03	17%	2 Jun →
inferno	11–13	0.02	25%	2 Jun →
nuke	5–13	-0.01	20%	2 Jun →
inferno	4–12	-0.05	18%	1 Jun →
overpass	7–0	0.09	11%	1 Jun →
ancient	13–6	-0.08	13%	1 Jun →
stronghold	4–13	-0.04	19%	1 Jun →
office	13–4	-0.03	25%	1 Jun →
mirage	3–13	-0.01	16%	1 Jun →
anubis	10–13	0.01	12%	1 Jun →
dust2	12–12	0.07	12%	1 Jun →
inferno	11–13	-0.00	7%	31 May →
mirage	10–13	0.02	20%	31 May →
inferno	13–6	0.01	14%	25 May →
cache	13–5	-0.03	17%	9 May →
cache	8–13	0.00	20%	9 May →
overpass	13–2	0.08	24%	3 May →
inferno	13–6	-0.07	7%	3 May →
inferno	12–16	-0.05	16%	3 May →
overpass	13–8	-0.03	23%	3 May →
inferno	11–13	-0.02	11%	2 May →
inferno	9–13	-0.03	10%	2 May →
ancient	8–13	0.03	20%	30 Apr →
overpass	16–13	-0.03	23%	19 Apr →
inferno	6–13	-0.08	29%	12 Apr →
mirage	9–13	-0.02	20%	12 Apr →
ancient	11–13	0.01	17%	12 Apr →
inferno	13–10	-0.04	8%	5 Apr →
ancient	11–13	-0.06	11%	5 Apr →
overpass	13–5	0.04	17%	5 Apr →
inferno	10–13	-0.07	13%	5 Apr →
inferno	13–8	-0.04	11%	5 Apr →
ancient	9–13	0.00	17%	5 Apr →
mirage	9–13	-0.10	14%	3 Apr →
inferno	13–5	-0.04	16%	3 Apr →
inferno	13–10	0.03	19%	3 Apr →
overpass	16–12	-0.03	16%	3 Apr →