SirLagalot — CS2 Stats

76561198973636530[U:1:1013370802]✓ No bans

1,101Tracked matches35%Win rate2025Tracked since
CSDB Rating3.7 Learning
Premier CS Rating13,196Blue band · top ~38% of ranked players (population est.)
CSDB Leaderboard#16554 of 24321 tracked
Ladder ranks via Leetify

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CSDB.GGSirLagalotPREMIER13,196 · Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY43525Last 10043%Win rateWLLTWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim3.8
Aggression7.3
Utility5.9
Positioning5.0
Opening Duels3.0

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

b1t

Plays most like b1t 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.8
Positioning5.0
Utility5.9
Mechanics4.1
Opening Duels3.0
Win Impact0.0

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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time637ms−40ms
first ⅓ avg 677ms → last ⅓ avg 637ms
Headshot accuracy17.2%+2.2%
first ⅓ avg 15.1% → last ⅓ avg 17.2%

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

0.15Best rating — anubis 13–1
131Biggest win — anubis
5Longest win streak
69In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
mirageD2271532%-0.02
dust2C1871139%-0.00
infernoD1551033%0.01
cacheC125742%0.03
anubisA106460%0.02
nukeB105550%0.01
ancientS54180%-0.01
overpassC52340%-0.00
vertigo21150%-0.03
train110100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.0%Headshot accuracy
30.2%Accuracy (enemy spotted)
30.1%Spray accuracy
68.5%Counter-strafing
11.2°Preaim
635msReaction time
38.7%T opening success
45.0%CT opening success
0.51Enemies flashed / flash
8.8%Flash assists
13.99HE damage / grenade
8.18Flashes / 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 38.707% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–110.0211%28 Aug
cache11–13-0.059%28 Aug
dust27–130.0310%28 Aug
dust212–120.0618%27 Aug
cache13–90.0215%27 Aug
cache2–13-0.0717%27 Aug
cache3–130.0918%27 Aug
cache13–40.0216%27 Aug
vertigo13–10-0.0118%27 Aug
dust213–80.0118%20 Aug
mirage10–13-0.0513%20 Aug
dust213–10-0.0717%20 Aug
mirage3–13-0.078%20 Aug
mirage15–15-0.0216%15 Aug
cache7–130.1220%13 Aug
anubis10–13-0.0018%13 Aug
dust213–110.0317%13 Aug
cache10–130.0115%7 Aug
mirage6–13-0.0025%7 Aug
mirage13–16-0.0420%7 Aug
nuke13–80.0316%7 Aug
dust26–13-0.0813%7 Aug
inferno10–13-0.0618%4 Aug
inferno7–13-0.0340%4 Aug
nuke15–15-0.0216%3 Aug
anubis5–13-0.0517%3 Aug
inferno10–130.010%28 Jul
mirage11–13-0.058%28 Jul
nuke12–120.0122%23 Jul
cache13–90.1028%22 Jul
anubis13–10.1520%22 Jul
ancient13–10-0.0437%22 Jul
anubis13–100.0514%22 Jul
mirage13–11-0.046%20 Jul
dust28–13-0.0716%20 Jul
inferno10–130.049%20 Jul
mirage14–16-0.049%20 Jul
inferno6–13-0.0320%17 Jul
inferno13–80.0225%17 Jul
cache8–130.0333%17 Jul
dust211–13-0.0444%17 Jul
train13–7-0.0517%17 Jul
mirage8–13-0.0210%17 Jul
mirage2–13-0.0825%16 Jul
mirage1–13-0.1023%16 Jul
anubis13–60.099%16 Jul
cache13–110.0513%16 Jul
nuke13–8-0.027%16 Jul
cache9–13-0.0214%15 Jul
ancient13–6-0.0710%15 Jul
mirage13–4-0.0016%15 Jul
nuke7–13-0.0516%15 Jul
dust213–40.0022%14 Jul
anubis13–70.019%14 Jul
inferno13–100.0512%14 Jul
mirage13–110.0118%14 Jul
mirage13–10.0734%14 Jul
anubis10–13-0.0126%13 Jul
inferno16–120.0526%1 Jul
dust26–130.0218%1 Jul
cache13–60.0220%1 Jul
ancient13–6-0.0018%30 Jun
mirage13–40.0520%30 Jun
inferno13–7-0.0324%30 Jun
ancient10–130.0314%28 Jun
inferno11–13-0.0314%26 Jun
mirage13–70.0115%26 Jun
nuke7–130.0414%26 Jun
mirage13–110.0616%26 Jun
dust213–70.036%26 Jun
dust213–80.0511%26 Jun
vertigo7–13-0.0521%25 Jun
nuke13–40.1125%25 Jun
inferno5–130.008%25 Jun
dust211–130.098%24 Jun
mirage2–13-0.0411%24 Jun
dust213–80.038%24 Jun
ancient13–30.0111%24 Jun
nuke7–130.0216%24 Jun
inferno7–13-0.0425%24 Jun
overpass13–90.0414%24 Jun
overpass8–13-0.0515%18 Jun
inferno11–130.0818%18 Jun
anubis10–13-0.0811%10 Jun
overpass11–130.0311%10 Jun
mirage15–15-0.078%9 Jun
mirage10–13-0.056%9 Jun
dust25–13-0.0443%7 Jun
mirage6–130.0612%5 Jun
dust27–13-0.0211%31 May
overpass13–3-0.007%31 May
overpass8–13-0.0315%30 May
nuke13–9-0.0213%30 May
inferno13–50.0718%30 May
anubis13–90.0724%30 May
dust28–13-0.0719%30 May
inferno9–13-0.0127%29 May
nuke13–9-0.0016%29 May
dust211–130.0014%29 May
mirage8–13-0.0012%29 May

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 →