lingling

lingling — CS2 Stats

76561198992514313[U:1:1032248585]Steam profile ↗✓ No bans

2,307Tracked matches38%Win rate2020Tracked since
CSDB Rating2.7 Learning
Premier CS Rating11,993Blue band · top ~44.3% of ranked players (population est.)
CSDB Leaderboard#17086 of 24242 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGlinglingFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,993 · Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning37
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY40537Last 10040%Win rateWWLWLLLLLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim3.4
Aggression2.0
Utility3.2
Positioning3.7
Opening Duels0.0
Clutch6.0

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

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: opening-duel success, 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. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning3.7
Utility3.2
Mechanics3.1
Opening Duels0.0
Win Impact1.0

Composite 2.7/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time618ms−48ms
first ⅓ avg 666ms → last ⅓ avg 618ms
Headshot accuracy17.7%+2.4%
first ⅓ avg 15.3% → last ⅓ avg 17.7%

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 — anubis 6–13
130Biggest win — dust2
5Longest win streak
W2Current streak
74In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 57% over 7infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C23101343%-0.03
infernoD1531220%-0.02
vertigoB115645%-0.00
nukeB115645%-0.03
cacheD93633%-0.01
ancientD93633%-0.02
trainA74357%0.01
mirageB63350%-0.01
anubisD62433%0.02
overpass32167%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

90Matches
49%Win rate
0.82Avg K/D
86.9ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
39%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage978%1.3715.6
Dust2540%1.0719.0
Anubis475%1.1818.3
Nuke425%0.9616.5
Inferno250%1.0918.0
Cache2100%1.3423.0
Ancient20%0.7014.0
Overpass250%0.9216.0

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.

17.3%Headshot accuracy
27.2%Accuracy (enemy spotted)
38.1%Spray accuracy
64.1%Counter-strafing
12.4°Preaim
621msReaction time
24.3%T opening success
26.9%CT opening success
0.50Enemies flashed / flash
4.1%Flash assists
8.31HE damage / grenade
2.17Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4001° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.1731 — below the 4 mark we flag

    Grenade Lineups
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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache16–14-0.0610%28 Aug
inferno13–10-0.0116%28 Aug
vertigo8–13-0.0413%28 Aug
ancient13–60.0221%27 Aug
cache9–13-0.0220%27 Aug
nuke4–13-0.0710%27 Aug
inferno10–13-0.0227%26 Aug
dust23–13-0.0411%26 Aug
cache3–13-0.078%24 Aug
nuke13–100.0313%24 Aug
mirage13–20.0113%24 Aug
vertigo5–13-0.0422%24 Aug
anubis13–80.0112%23 Aug
dust213–110.0013%23 Aug
nuke5–00.0438%23 Aug
nuke5–13-0.0721%23 Aug
dust213–3-0.0335%23 Aug
ancient12–12-0.0511%23 Aug
inferno7–13-0.0528%22 Aug
dust21–13-0.0513%22 Aug
dust28–13-0.0415%22 Aug
dust27–13-0.0210%22 Aug
anubis2–13-0.0320%22 Aug
cache5–130.0218%22 Aug
dust22–13-0.0316%22 Aug
anubis6–130.1114%22 Aug
nuke13–10-0.0420%21 Aug
dust27–13-0.0430%21 Aug
ancient13–5-0.0123%21 Aug
inferno5–13-0.0116%17 Aug
dust213–8-0.0221%17 Aug
inferno13–9-0.0514%16 Aug
dust213–30.0210%16 Aug
mirage13–11-0.0013%15 Aug
dust213–2-0.0616%15 Aug
ancient3–13-0.0526%15 Aug
vertigo13–11-0.026%15 Aug
train4–13-0.0313%15 Aug
inferno9–13-0.0127%14 Aug
dust213–110.0617%14 Aug
inferno12–12-0.0216%14 Aug
ancient4–13-0.0310%14 Aug
cache11–13-0.0013%14 Aug
inferno3–9-0.1543%13 Aug
dust27–13-0.077%13 Aug
train13–70.0116%13 Aug
vertigo13–8-0.0717%13 Aug
inferno12–120.0311%13 Aug
dust210–13-0.0112%13 Aug
mirage10–13-0.0523%12 Aug
nuke11–13-0.0625%12 Aug
dust215–150.0115%12 Aug
ancient6–130.0812%12 Aug
overpass13–5-0.0216%12 Aug
train8–13-0.0015%12 Aug
inferno13–50.0318%12 Aug
vertigo5–13-0.0426%12 Aug
cache13–20.057%12 Aug
ancient2–13-0.110%12 Aug
nuke5–13-0.0410%11 Aug
vertigo13–2-0.0215%9 Aug
cache11–13-0.058%9 Aug
dust212–12-0.0415%9 Aug
anubis13–50.0613%9 Aug
dust213–9-0.0714%9 Aug
mirage9–130.0316%9 Aug
anubis3–13-0.0228%8 Aug
dust25–13-0.005%7 Aug
nuke13–2-0.0335%6 Aug
dust213–7-0.0113%6 Aug
train13–70.078%6 Aug
inferno3–13-0.089%6 Aug
ancient10–13-0.056%6 Aug
vertigo4–13-0.0211%6 Aug
dust213–8-0.0222%6 Aug
nuke10–130.0115%5 Aug
mirage13–11-0.0215%5 Aug
train7–13-0.0915%5 Aug
vertigo13–50.0510%5 Aug
inferno11–130.0527%4 Aug
dust26–13-0.0527%4 Aug
vertigo12–120.0213%4 Aug
overpass1–13-0.0427%4 Aug
train13–90.0421%4 Aug
anubis6–13-0.0129%4 Aug
mirage3–13-0.036%4 Aug
cache1–13-0.095%4 Aug
dust26–13-0.118%3 Aug
vertigo13–50.1022%3 Aug
inferno12–12-0.0323%3 Aug
nuke3–13-0.055%3 Aug
overpass13–110.1016%3 Aug
ancient13–90.016%3 Aug
train13–50.069%3 Aug
inferno10–130.009%3 Aug
inferno1–8-0.0414%2 Aug
cache13–70.1026%2 Aug
nuke13–8-0.029%2 Aug
dust213–0-0.0515%2 Aug
vertigo8–130.0324%2 Aug

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 →