Wan Shi Tong

Wan Shi Tong — CS2 Stats

TM76561198068236351[U:1:107970623]Steam profile ↗✓ No bans

1,662Tracked matches62%Win rate2020Tracked since
1,690Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating14,890Blue band · top ~29% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGWan Shi TongFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,890 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateLLTWTLLWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −4.4pp headshot accuracy · +11ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 556ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 530ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.3
Utility5.3
Positioning5.8
Opening Duels2.7
Clutch1.8

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 39% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning5.8
Utility5.3
Mechanics6.7
Opening Duels5.2
Win Impact8.8

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time538ms−88ms
first ⅓ avg 625ms → last ⅓ avg 538ms
Headshot accuracy20.9%+1.0%
first ⅓ avg 19.9% → last ⅓ avg 20.9%

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

0.15Best match rating · 13–0 · mirage, 3 Jul →
48%Best headshot accuracy · 13–9 · mirage, 9 Sept →
367msFastest reaction time · 13–2 · dust2, 19 Sept →
13–0Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
9–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 58% over 12infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3414–2041%-0.00
cacheC167–944%-0.00
mirageA127–558%0.02
nukeA95–456%-0.01
infernoD72–529%-0.02
ancientA74–357%-0.01
anubis—42–250%-0.01
office—40–40%-0.04
train—31–233%0.03
overpass—22–0100%0.01
vertigo—10–10%-0.03
poseidon—10–10%-0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,609Lifetime kills
1.07K/D
4,220Matches
45.6%Match win rate
49.9%Headshot %
12.7%Shot accuracy
9,464MVPs
1,690Hours (in match)
2,718Bombs planted
1,186Bombs defused

Most-used weapons

AK-4722,305
AWP7,183
SSG 086,550
MP91,882
MAC-101,245
P2501,212

Lifetime map wins

9,286dust2
5,087inferno
2,623nuke
1,667lake
1,462train
1,421vertigo
505office
363cbble

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

Faceit stats

Combat

72Matches
56%Win rate
1.24Avg K/D
75.6ADR
48%Headshot %

Clutches & streaks

29%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis333%0.6815.0
Mirage2100%1.2413.5
Vertigo2100%1.3216.5
Ancient2100%1.1520.0
Dust220%0.8614.5
Nuke1100%1.503.0
Inferno1100%1.1515.0

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.

20.3%Headshot accuracy
30.9%Accuracy (enemy spotted)
31.6%Spray accuracy
80.3%Counter-strafing
8.4°Preaim
531msReaction time
62.7%T opening success
39.1%CT opening success
0.65Enemies flashed / flash
4.0%Flash assists
9.45HE damage / grenade
13.23Flashes / 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.

  1. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.1413% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0118%8 Nov →
cache14–160.0122%7 Nov →
vertigo12–12-0.0311%31 Oct →
nuke13–7-0.0122%26 Oct →
dust212–12-0.0314%26 Oct →
dust210–13-0.0515%18 Oct →
dust211–13-0.0219%18 Oct →
overpass13–70.0025%16 Oct →
inferno4–13-0.0833%15 Oct →
mirage13–30.029%11 Oct →
cache6–130.0620%11 Oct →
inferno6–13-0.0421%11 Oct →
dust213–90.0038%11 Oct →
train12–12-0.0213%10 Oct →
dust212–12-0.0318%10 Oct →
mirage4–13-0.0529%10 Oct →
ancient13–30.0735%10 Oct →
cache13–00.0526%10 Oct →
dust213–40.0118%10 Oct →
ancient13–9-0.0513%9 Oct →
dust213–110.0027%8 Oct →
dust28–2-0.0517%8 Oct →
nuke13–7-0.0022%7 Oct →
ancient13–10-0.0011%7 Oct →
cache16–130.0420%5 Oct →
cache4–13-0.0224%4 Oct →
anubis13–11-0.0122%4 Oct →
cache13–90.0226%3 Oct →
ancient13–60.0211%3 Oct →
anubis3–13-0.0721%3 Oct →
dust213–70.0817%3 Oct →
poseidon2–9-0.1736%28 Sept →
ancient5–13-0.0617%27 Sept →
dust212–12-0.0119%27 Sept →
nuke13–110.0216%27 Sept →
inferno13–100.0220%27 Sept →
dust29–13-0.0714%20 Sept →
dust26–130.0615%20 Sept →
cache9–130.009%19 Sept →
dust213–20.0118%19 Sept →
office12–120.0010%19 Sept →
dust26–130.0226%19 Sept →
mirage9–13-0.0311%19 Sept →
dust213–110.0516%9 Sept →
dust22–130.0322%9 Sept →
mirage13–90.0048%9 Sept →
dust213–90.0016%2 Sept →
dust24–13-0.0221%2 Sept →
dust213–5-0.0511%29 Aug →
inferno13–60.0444%29 Aug →
mirage13–30.0922%23 Aug →
dust28–13-0.0116%22 Aug →
nuke8–13-0.0120%21 Aug →
dust213–40.0239%20 Aug →
cache16–130.0012%19 Aug →
nuke14–16-0.0617%17 Aug →
cache6–13-0.0212%16 Aug →
dust213–100.0717%16 Aug →
nuke8–13-0.0027%16 Aug →
mirage14–160.0118%8 Aug →
inferno8–13-0.0127%8 Aug →
dust27–130.0129%8 Aug →
office6–13-0.0513%8 Aug →
office5–13-0.0219%2 Aug →
dust29–13-0.0216%2 Aug →
cache13–7-0.0130%2 Aug →
mirage11–130.0129%27 Jul →
cache13–7-0.0213%12 Jul →
nuke13–11-0.044%12 Jul →
dust29–13-0.0624%12 Jul →
mirage13–00.1521%3 Jul →
mirage5–130.0014%3 Jul →
cache12–12-0.0717%2 Jul →
anubis16–120.0322%2 Jul →
ancient6–13-0.0233%1 Jul →
dust210–13-0.0624%28 Jun →
dust29–9-0.0030%28 Jun →
cache5–13-0.0520%28 Jun →
dust28–130.0018%27 Jun →
dust213–70.0620%27 Jun →
dust29–13-0.075%25 Jun →
cache13–60.0122%22 Jun →
train12–120.0217%22 Jun →
office9–13-0.0922%22 Jun →
mirage13–4-0.0324%21 Jun →
overpass13–110.0225%21 Jun →
anubis11–130.0329%21 Jun →
mirage13–100.0028%21 Jun →
inferno14–16-0.0123%21 Jun →
dust211–130.0518%21 Jun →
dust211–13-0.0318%20 Jun →
nuke13–110.0312%20 Jun →
dust26–13-0.0920%19 Jun →
cache5–13-0.0516%8 Jun →
cache6–13-0.0313%7 Jun →
ancient7–13-0.0510%23 May →
train13–50.0924%22 Feb →
mirage13–110.0321%22 Feb →
inferno2–13-0.0529%22 Feb →
dust213–90.0521%22 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.