hitch — CS2 Stats

76561199110271540[U:1:1150005812]Steam profile ↗✓ No bans

1,998Tracked matches43%Win rate2020Tracked since

CSDB Rating4.7 DevelopingPassive Rifler

Premier CS Rating4,219Grey band · top ~82.1% of ranked players (population est.)

CSDB Leaderboard#42726 of 55354 tracked

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning35

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY39–59–2Last 10039%Win rateWLLWWLWLLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim8.1

Aggression3.0

Utility2.9

Positioning3.5

Opening Duels0.0

Excellent counter-strafingLimited 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 NiKo 74% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Strengths

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

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

Reaction time. 595ms 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

Aim8.1

Positioning3.5

Utility2.9

Mechanics9.5

Opening Duels0.0

Win Impact2.8

Composite 4.7/10 (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+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time606ms−115ms

first ⅓ avg 722ms → last ⅓ avg 606ms

Headshot accuracy12.1%−0.3%

first ⅓ avg 12.4% → last ⅓ avg 12.1%

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 — debris 9–5

13–3Biggest win — cache

4Longest win streak

6–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 59% over 17cacheWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	26	11–15	42%	-0.03
dust2	D	20	5–15	25%	-0.03
inferno	A	17	10–7	59%	-0.02
anubis	C	13	5–8	38%	-0.04
cache	D	12	2–10	17%	-0.03
ancient	A	7	4–3	57%	-0.02
nuke	—	2	0–2	0%	-0.00
vertigo	—	1	1–0	100%	0.07
train	—	1	0–1	0%	-0.00
debris	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

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

36.0%Accuracy (enemy spotted)

40.6%Spray accuracy

92.7%Counter-strafing

7.2°Preaim

595msReaction time

27.8%T opening success

25.7%CT opening success

0.61Enemies flashed / flash

5.3%Flash assists

4.47HE damage / grenade

2.15Flashes / 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 12.1887% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.1533 — below the 4 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 27.786% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.00	18%	27 Aug →
mirage	7–13	-0.04	20%	27 Aug →
inferno	7–13	-0.04	16%	25 Aug →
inferno	13–8	0.05	12%	24 Aug →
mirage	13–4	0.07	5%	24 Aug →
mirage	8–13	-0.08	9%	24 Aug →
dust2	13–6	0.05	16%	24 Aug →
dust2	9–13	-0.02	7%	24 Aug →
inferno	8–13	-0.02	13%	24 Aug →
inferno	4–13	-0.02	14%	23 Aug →
anubis	9–13	-0.09	4%	23 Aug →
inferno	13–9	-0.02	6%	22 Aug →
ancient	9–13	0.02	12%	21 Aug →
cache	11–13	-0.01	10%	21 Aug →
inferno	11–13	-0.01	17%	21 Aug →
anubis	13–6	-0.03	4%	21 Aug →
mirage	11–13	-0.07	13%	21 Aug →
anubis	10–13	-0.08	11%	21 Aug →
mirage	13–5	-0.00	9%	21 Aug →
dust2	13–6	-0.05	20%	20 Aug →
ancient	16–13	-0.03	9%	20 Aug →
inferno	13–7	-0.04	12%	20 Aug →
dust2	10–13	0.01	16%	20 Aug →
cache	9–13	0.00	12%	20 Aug →
dust2	13–11	0.03	15%	20 Aug →
mirage	13–11	-0.01	8%	19 Aug →
anubis	8–13	-0.05	17%	19 Aug →
mirage	9–13	-0.03	15%	18 Aug →
anubis	13–7	-0.09	18%	18 Aug →
mirage	11–13	-0.02	10%	18 Aug →
inferno	13–11	0.01	20%	17 Aug →
anubis	13–7	0.00	3%	17 Aug →
ancient	5–13	-0.06	7%	15 Aug →
mirage	10–13	-0.02	11%	14 Aug →
ancient	13–9	-0.03	13%	14 Aug →
dust2	15–15	-0.01	14%	14 Aug →
dust2	6–13	-0.12	14%	13 Aug →
inferno	6–13	-0.07	16%	13 Aug →
cache	5–13	-0.10	9%	13 Aug →
anubis	7–13	-0.02	6%	13 Aug →
mirage	6–13	-0.04	15%	13 Aug →
mirage	11–13	-0.08	18%	11 Aug →
mirage	13–7	-0.03	14%	11 Aug →
vertigo	13–7	0.07	12%	10 Aug →
inferno	2–13	-0.10	5%	10 Aug →
anubis	16–12	-0.03	13%	10 Aug →
dust2	3–13	-0.10	12%	10 Aug →
anubis	13–4	-0.01	17%	10 Aug →
train	11–13	-0.00	18%	9 Aug →
inferno	9–5	-0.05	15%	9 Aug →
ancient	13–11	-0.03	13%	9 Aug →
dust2	11–13	-0.04	6%	9 Aug →
cache	12–12	-0.04	21%	9 Aug →
dust2	3–13	-0.05	10%	9 Aug →
ancient	13–11	0.02	13%	9 Aug →
inferno	13–10	-0.01	14%	9 Aug →
cache	7–13	0.02	18%	9 Aug →
anubis	5–13	-0.04	13%	8 Aug →
nuke	10–13	0.02	9%	7 Aug →
dust2	6–13	-0.08	10%	7 Aug →
mirage	16–13	-0.01	8%	7 Aug →
mirage	7–2	-0.07	10%	7 Aug →
anubis	9–13	-0.05	16%	6 Aug →
dust2	8–13	-0.03	17%	6 Aug →
mirage	13–9	0.02	14%	6 Aug →
mirage	7–13	0.01	5%	5 Aug →
cache	2–13	-0.03	21%	5 Aug →
mirage	13–10	-0.04	14%	5 Aug →
nuke	8–13	-0.03	12%	5 Aug →
mirage	10–13	-0.09	6%	5 Aug →
inferno	13–4	0.03	31%	5 Aug →
cache	4–13	-0.08	13%	4 Aug →
dust2	13–11	0.01	11%	4 Aug →
anubis	3–13	-0.03	11%	4 Aug →
cache	13–7	-0.06	8%	4 Aug →
cache	7–13	-0.02	17%	4 Aug →
mirage	6–13	-0.02	7%	3 Aug →
dust2	5–13	-0.03	11%	3 Aug →
anubis	4–13	-0.04	9%	3 Aug →
dust2	6–13	-0.09	6%	3 Aug →
mirage	10–13	-0.06	8%	3 Aug →
debris	9–5	0.11	13%	3 Aug →
dust2	5–13	0.01	20%	3 Aug →
ancient	4–13	-0.04	14%	3 Aug →
mirage	13–4	0.03	13%	3 Aug →
mirage	8–13	-0.07	17%	2 Aug →
dust2	10–13	-0.06	17%	2 Aug →
inferno	14–16	-0.00	10%	1 Aug →
cache	13–3	0.05	8%	31 Jul →
inferno	13–3	0.01	9%	31 Jul →
cache	3–13	-0.08	11%	31 Jul →
inferno	13–7	-0.04	6%	31 Jul →
mirage	3–13	-0.07	10%	31 Jul →
mirage	13–7	-0.02	6%	30 Jul →
dust2	9–13	-0.01	8%	30 Jul →
mirage	7–13	-0.05	15%	30 Jul →
inferno	13–7	-0.00	24%	30 Jul →
cache	4–13	-0.05	20%	30 Jul →
dust2	12–16	-0.01	11%	29 Jul →
dust2	13–3	0.02	14%	29 Jul →