SumTingWong — CS2 Stats

76561198074362190[U:1:114096462]Steam profile ↗✓ No bans

1,423Tracked matches28%Win rate2020Tracked since

CSDB Rating3.7 LearningSupport

Premier CS Rating5,916Light Blue band · top ~74.4% of ranked players (population est.)

CSDB Leaderboard#200338 of 259937 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,916 -3,253 28 Aug – 16 Oct · 25 days played

9,535Peak Premier in tracked matches

30Days played since 2026-08-28

Premier CS Rating

3,253 below peak (9,169)
-515 over 30 days · declining
Next: Blue band at 10,000 — 4,084 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim55

Positioning40

Utility46

0–100 skill scores via Leetify.

Recent form

COLD35–61–4Last 10035%Win rateLLLWWLLLTL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +1.5pp headshot accuracy · −21ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 14%
Avg reaction 633ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 605ms

Last 20

5–14–1 · 25% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 615ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim5.5

Utility4.6

Positioning4.0

Opening Duels0.0

Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 600ms 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

Aim5.5

Positioning4.0

Utility4.6

Mechanics5.9

Opening Duels0.8

Win Impact0.0

Composite 3.7/10 (Learning), 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-0.03−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time601ms−45ms

first ⅓ avg 647ms → last ⅓ avg 601ms

Headshot accuracy11.5%−0.3%

first ⅓ avg 11.7% → last ⅓ avg 11.5%

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.

Personal bests

0.08Best match rating · 13–3 · nuke, 29 Aug →

42%Best headshot accuracy · 3–13 · mirage, 31 Aug →

484msFastest reaction time · 3–13 · anubis, 19 Sept →

13–1Biggest win · inferno, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L3Current streak

7–13In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 44% over 16dust2Weakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	9–14	39%	-0.01
cache	D	16	5–11	31%	-0.02
inferno	C	16	7–9	44%	-0.04
anubis	D	12	4–8	33%	-0.03
dust2	D	10	2–8	20%	-0.03
nuke	C	9	4–5	44%	0.00
ancient	D	7	2–5	29%	-0.04
vertigo	—	4	1–3	25%	0.00
overpass	—	1	0–1	0%	0.02
office	—	1	1–0	100%	-0.03
boulder	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

383Matches

49%Win rate

0.91Avg K/D

71.2ADR

28%Headshot %

Clutches & streaks

36%1v1 clutch win

17%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	63%	0.83	13.1
Inferno	17	71%	1.32	13.1
Anubis	11	27%	0.75	12.7
Overpass	9	56%	1.07	12.1
Vertigo	6	33%	0.66	10.5
Nuke	5	60%	0.80	14.4
Dust2	5	40%	0.72	11.2
Ancient	3	67%	0.87	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.

11.3%Headshot accuracy

35.1%Accuracy (enemy spotted)

37.5%Spray accuracy

76.5%Counter-strafing

10.8°Preaim

600msReaction time

33.4%T opening success

33.4%CT opening success

0.49Enemies flashed / flash

2.9%Flash assists

6.46HE damage / grenade

6.11Flashes / 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.

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 11.3238% — below the 15% mark we flag
Aim Training →
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 0.4949 — 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 33.4119% — 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.

20% win rate across 10 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
mirage	4–13	-0.03	10%	16 Oct →
mirage	4–13	-0.03	16%	16 Oct →
cache	8–13	-0.06	22%	13 Oct →
anubis	13–10	-0.02	3%	11 Oct →
dust2	13–4	0.01	17%	11 Oct →
cache	6–13	-0.02	16%	11 Oct →
anubis	11–13	0.00	15%	11 Oct →
dust2	7–13	0.01	10%	7 Oct →
ancient	15–15	-0.00	14%	7 Oct →
inferno	14–16	-0.02	12%	2 Oct →
inferno	8–13	-0.08	6%	2 Oct →
dust2	9–13	-0.08	14%	2 Oct →
anubis	13–10	-0.05	10%	2 Oct →
nuke	13–11	-0.03	7%	2 Oct →
mirage	3–13	-0.08	20%	25 Sept →
anubis	8–13	-0.01	9%	21 Sept →
anubis	9–13	0.03	15%	20 Sept →
inferno	13–11	-0.06	10%	19 Sept →
cache	8–13	-0.05	8%	19 Sept →
anubis	3–13	-0.09	19%	19 Sept →
ancient	13–10	-0.03	10%	19 Sept →
inferno	7–13	-0.05	2%	19 Sept →
anubis	8–13	-0.07	7%	19 Sept →
dust2	7–13	-0.05	10%	19 Sept →
ancient	12–16	-0.04	11%	19 Sept →
cache	13–6	0.01	9%	19 Sept →
ancient	8–13	-0.03	13%	18 Sept →
inferno	7–13	-0.04	5%	18 Sept →
nuke	13–11	0.01	8%	18 Sept →
mirage	11–13	0.01	18%	18 Sept →
mirage	11–13	-0.02	11%	17 Sept →
mirage	13–10	0.00	8%	17 Sept →
inferno	13–1	0.07	13%	17 Sept →
mirage	7–13	0.06	8%	17 Sept →
dust2	9–13	-0.03	10%	17 Sept →
dust2	13–16	-0.04	13%	16 Sept →
inferno	15–15	-0.08	16%	16 Sept →
anubis	13–7	-0.04	5%	16 Sept →
inferno	16–14	0.02	5%	15 Sept →
anubis	7–13	-0.03	9%	14 Sept →
mirage	11–13	-0.01	15%	14 Sept →
inferno	3–13	-0.05	10%	13 Sept →
cache	6–13	-0.03	11%	13 Sept →
overpass	3–13	0.02	10%	13 Sept →
nuke	11–13	-0.00	12%	12 Sept →
cache	9–13	-0.04	19%	11 Sept →
inferno	6–13	-0.08	16%	11 Sept →
mirage	10–13	-0.02	5%	11 Sept →
anubis	16–14	-0.04	18%	11 Sept →
cache	10–13	0.01	6%	11 Sept →
ancient	13–4	-0.03	13%	11 Sept →
dust2	11–13	-0.04	22%	11 Sept →
cache	7–13	-0.03	6%	10 Sept →
nuke	11–13	-0.01	9%	10 Sept →
cache	8–13	-0.01	16%	10 Sept →
nuke	15–15	-0.02	8%	10 Sept →
dust2	13–6	-0.04	7%	9 Sept →
nuke	13–2	0.01	11%	9 Sept →
cache	1–13	-0.03	23%	9 Sept →
cache	13–7	-0.07	8%	8 Sept →
vertigo	7–13	0.04	9%	7 Sept →
anubis	10–13	-0.01	6%	7 Sept →
mirage	13–11	-0.04	17%	6 Sept →
vertigo	13–6	0.05	7%	6 Sept →
cache	13–7	-0.04	14%	6 Sept →
mirage	13–4	0.08	18%	6 Sept →
mirage	12–12	-0.03	7%	6 Sept →
inferno	13–10	-0.09	11%	6 Sept →
vertigo	1–13	0.01	10%	6 Sept →
mirage	13–11	0.00	6%	4 Sept →
nuke	11–13	-0.08	14%	4 Sept →
ancient	2–13	-0.11	18%	4 Sept →
office	13–3	-0.03	17%	3 Sept →
cache	13–10	-0.00	12%	2 Sept →
mirage	13–7	0.02	12%	2 Sept →
inferno	13–7	-0.07	7%	1 Sept →
vertigo	5–9	-0.10	5%	31 Aug →
mirage	3–13	-0.09	42%	31 Aug →
inferno	13–3	-0.02	15%	31 Aug →
mirage	4–13	-0.06	6%	31 Aug →
cache	11–13	0.00	16%	30 Aug →
mirage	2–13	-0.09	10%	30 Aug →
cache	6–13	-0.06	13%	30 Aug →
mirage	11–13	0.02	6%	29 Aug →
nuke	11–13	0.06	9%	29 Aug →
inferno	13–16	-0.01	14%	29 Aug →
mirage	13–4	0.05	11%	29 Aug →
nuke	13–3	0.08	8%	29 Aug →
cache	13–3	0.07	8%	29 Aug →
inferno	1–13	-0.07	9%	29 Aug →
mirage	2–13	-0.02	17%	29 Aug →
mirage	13–10	-0.02	12%	29 Aug →
anubis	2–13	-0.05	12%	29 Aug →
ancient	9–13	-0.03	11%	29 Aug →
mirage	13–10	-0.04	5%	29 Aug →
dust2	7–13	-0.05	19%	28 Aug →
inferno	13–1	0.02	11%	28 Aug →
dust2	11–13	-0.04	8%	28 Aug →
mirage	13–4	0.01	9%	28 Aug →
boulder	3–13	0.00	6%	28 Aug →