chinese mike

chinese mike — CS2 Stats

VA76561198038346161[U:1:78080433]Steam profile ↗✓ No bans

1,420Tracked matches43%Win rate2020Tracked since
CSDB Rating3.7 LearningClutch Specialist
CSDB Leaderboard#95600 of 232138 tracked
FaceitLevel 9 · 1,854 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 22 days played since 16 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,498 -1,272 20 Dec18 Jan · 2 days played
18,49819,770peak 19,77020 Dec18 Jan
19,770Peak Premier in tracked matches
1,854Highest Faceit ELO seen on CSDB
22Days played since 2025-12-16

Faceit ELO

  • At peak — 1,854
  • Next: Level 10 at 2,001 147 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

Share this profile

CSDB.GGchinese mikeFACEITLevel 9 · 1,854 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,854csdb.gg/stats

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Performance scores

Aim42
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateWWWWLLWLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.1pp headshot accuracy · −2ms 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

  • 41 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 631ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 628ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim4.2
Utility4.9
Positioning3.9
Opening Duels1.7
Clutch5.6

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 41% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Aim4.2
Positioning3.9
Utility4.9
Mechanics5.0
Opening Duels1.4
Win Impact2.8

Composite 3.7/10 (Learning), 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-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time657ms−19ms
first ⅓ avg 676ms → last ⅓ avg 657ms
Headshot accuracy16.1%+0.8%
first ⅓ avg 15.4% → last ⅓ avg 16.1%

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.

Personal bests

0.25Best match rating · 9–1 · inferno, 31 Dec
35%Best headshot accuracy · 7–13 · office, 16 Jan
359msFastest reaction time · 8–13 · nuke, 3 Jan
13–1Biggest win · dust2, 19 Dec

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
610In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 71% over 7ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA33191458%-0.01
nukeB1991047%-0.03
dust2B136746%-0.03
trainA116555%-0.01
overpassS75271%0.00
ancientD61517%-0.02
inferno31233%0.06
vertigo2020%-0.03
office21150%-0.00
anubis220100%0.13
cache110100%-0.00
agency1010%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

242Matches
58%Win rate
0.98Avg K/D
70.3ADR
42%Headshot %

Clutches & streaks

48%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7060%1.0513.0
Nuke3757%0.9513.3
Ancient2752%0.8413.1
Dust22050%0.9614.4
Train1662%1.0414.1
Overpass1486%1.1814.3
Anubis1250%0.9113.2
Inferno633%1.0012.3

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.

15.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
33.3%Spray accuracy
72.5%Counter-strafing
11.0°Preaim
656msReaction time
23.7%T opening success
41.2%CT opening success
0.67Enemies flashed / flash
2.4%Flash assists
9.59HE damage / grenade
15.32Flashes / 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

    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 23.6613% — below the 40% mark we flag

Spend your practice time on Ancient

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 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0915%2 Aug
cache13–8-0.0016%2 Aug
mirage19–160.0413%7 Feb
dust213–5-0.0615%7 Feb
mirage14–16-0.0610%6 Feb
mirage10–13-0.0621%18 Jan
dust213–11-0.0824%18 Jan
nuke10–13-0.0433%18 Jan
nuke8–130.0315%17 Jan
vertigo5–13-0.0113%17 Jan
mirage7–13-0.0812%16 Jan
inferno7–13-0.0527%16 Jan
office7–130.0235%16 Jan
mirage16–130.0218%7 Jan
dust28–13-0.026%7 Jan
nuke13–7-0.0318%7 Jan
mirage5–13-0.0718%7 Jan
nuke13–7-0.046%6 Jan
train5–13-0.0413%6 Jan
mirage13–7-0.0410%6 Jan
dust213–40.0417%6 Jan
train6–13-0.0416%6 Jan
mirage13–16-0.0210%6 Jan
ancient7–13-0.0215%6 Jan
mirage10–13-0.0812%6 Jan
overpass13–11-0.018%5 Jan
mirage13–4-0.0332%5 Jan
mirage13–30.0128%5 Jan
mirage22–25-0.0210%5 Jan
dust213–16-0.0214%5 Jan
mirage13–40.023%5 Jan
overpass13–9-0.0325%5 Jan
ancient10–13-0.006%5 Jan
ancient11–13-0.0415%4 Jan
mirage13–100.0116%4 Jan
train12–1-0.059%4 Jan
mirage13–30.1015%4 Jan
overpass9–130.0012%4 Jan
mirage13–11-0.0213%4 Jan
nuke9–13-0.0311%4 Jan
nuke13–4-0.0411%4 Jan
dust213–4-0.0111%4 Jan
train13–10-0.004%4 Jan
overpass13–6-0.0029%4 Jan
mirage13–40.0214%3 Jan
ancient11–13-0.0016%3 Jan
dust211–130.018%3 Jan
nuke8–13-0.0612%3 Jan
mirage11–13-0.0312%3 Jan
nuke14–16-0.088%3 Jan
train16–190.0118%3 Jan
mirage13–70.0415%3 Jan
mirage9–13-0.0314%3 Jan
overpass13–70.018%2 Jan
mirage13–70.0325%2 Jan
mirage13–80.0113%2 Jan
dust26–130.0115%2 Jan
nuke13–100.017%2 Jan
train13–5-0.0223%2 Jan
train11–13-0.0413%2 Jan
mirage13–7-0.0010%2 Jan
nuke1–13-0.067%2 Jan
nuke16–14-0.0220%2 Jan
dust214–16-0.0016%2 Jan
train13–20.0521%2 Jan
mirage13–60.0011%2 Jan
ancient11–13-0.0219%2 Jan
dust28–13-0.069%2 Jan
nuke1–13-0.029%2 Jan
nuke10–13-0.0326%1 Jan
mirage5–130.0118%1 Jan
nuke13–10-0.0410%1 Jan
mirage13–20.0111%1 Jan
ancient13–10-0.0118%1 Jan
agency12–12-0.0011%31 Dec
office13–7-0.0216%31 Dec
vertigo7–9-0.048%31 Dec
nuke9–2-0.1427%31 Dec
overpass9–40.039%31 Dec
inferno9–10.2514%31 Dec
nuke13–16-0.0011%31 Dec
mirage10–130.0017%31 Dec
train5–130.0013%30 Dec
inferno9–13-0.0328%30 Dec
overpass9–130.018%30 Dec
anubis13–70.0712%30 Dec
mirage5–13-0.0316%30 Dec
nuke6–13-0.0618%29 Dec
mirage12–12-0.0118%29 Dec
train13–60.0022%21 Dec
anubis13–40.198%20 Dec
dust23–13-0.115%20 Dec
dust213–10.048%19 Dec
mirage13–10-0.0021%19 Dec
train13–100.0120%18 Dec
mirage9–13-0.0913%18 Dec
mirage13–110.0017%18 Dec
nuke13–60.0323%17 Dec
mirage13–6-0.0723%16 Dec
nuke13–50.0720%16 Dec

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 →