Pablo — CS2 Stats

76561198187856954[U:1:227591226]✓ No bans

295Tracked matches64%Win rate2020Tracked since
CSDB Rating3.4 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGPabloFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim30
Positioning44
Utility20

0–100 skill scores via Leetify.

Recent form

HOT474211Last 10047%Win rateLWWWLWLWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

Aim3.0
Aggression2.0
Utility2.0
Positioning4.4
Opening Duels0.0
Clutch0.0

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 66% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim3.0
Positioning4.4
Utility2.0
Mechanics2.2
Opening Duels0.3
Win Impact9.7

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time619ms−14ms
first ⅓ avg 633ms → last ⅓ avg 619ms
Headshot accuracy11.1%−0.1%
first ⅓ avg 11.2% → last ⅓ avg 11.1%

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.

Highlights

0.14Best rating — nuke 9–7
131Biggest win — dust2
4Longest win streak
910In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 56% over 16vertigoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC1881044%-0.03
dust2A169756%-0.03
nukeB168850%-0.01
anubisB126650%-0.01
vertigoD113827%-0.02
ancientA95456%-0.00
cacheB63350%-0.03
trainB63350%-0.02
overpass31233%-0.05
poseidon1010%-0.03
inferno110100%-0.01
italy1010%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches
19%Win rate
0.51Avg K/D
42.6ADR
29%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.6911.0
Train10%0.539.0

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.

10.9%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.6%Spray accuracy
60.1%Counter-strafing
12.1°Preaim
639msReaction time
21.7%T opening success
32.4%CT opening success
0.32Enemies flashed / flash
6.1%Flash assists
5.48HE damage / grenade
2.22Flashes / 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 12.0681° — above the 12° mark we flag

    Aim Training
  2. 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 10.8569% — below the 15% mark we flag

    Aim Training
  3. 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 0.3179 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Vertigo

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.069%29 Aug
cache13–50.0117%27 Aug
cache12–20.0020%27 Aug
dust213–8-0.0412%27 Aug
cache8–13-0.069%16 Aug
nuke13–80.008%16 Aug
anubis6–13-0.0511%15 Aug
nuke9–70.149%21 May
cache13–6-0.0618%4 May
nuke13–100.0415%2 May
cache12–12-0.0421%2 May
cache12–12-0.0313%29 Apr
ancient16–13-0.0014%27 Apr
ancient9–13-0.0310%25 Apr
mirage11–13-0.048%25 Apr
dust213–80.0415%25 Apr
dust27–13-0.0411%24 Apr
dust212–12-0.0513%23 Apr
poseidon6–9-0.0312%21 Apr
dust22–13-0.0717%20 Apr
nuke13–40.1215%20 Apr
vertigo13–40.063%20 Apr
overpass12–12-0.058%17 Apr
nuke4–13-0.060%15 Apr
dust213–11-0.0125%13 Apr
overpass13–80.046%13 Apr
anubis13–20.012%13 Apr
train5–13-0.033%7 Apr
vertigo8–80.0713%5 Apr
nuke6–9-0.0810%5 Apr
ancient13–7-0.041%3 Apr
anubis12–120.087%3 Apr
nuke9–30.0413%2 Apr
overpass7–9-0.135%1 Apr
nuke1–9-0.256%1 Apr
vertigo13–50.037%27 Mar
inferno13–9-0.014%9 Dec
dust213–8-0.015%9 Dec
train15–15-0.084%9 Dec
mirage13–110.005%4 Dec
mirage15–15-0.106%12 Nov
dust24–13-0.084%12 Nov
dust213–10.0113%29 Aug
train12–12-0.018%24 Apr
mirage10–130.049%17 Apr
train13–4-0.0224%17 Apr
ancient6–130.049%8 Apr
dust211–13-0.0510%8 Apr
mirage7–13-0.054%12 Mar
nuke4–13-0.073%4 Feb
anubis10–13-0.0411%4 Feb
ancient10–13-0.023%22 Jan
vertigo6–13-0.0411%20 Jan
train13–70.0012%16 Jan
ancient13–80.0716%15 Jan
mirage13–3-0.050%15 Jan
mirage13–11-0.0512%13 Jan
vertigo10–13-0.033%13 Jan
mirage11–13-0.0714%13 Dec
anubis13–20.0511%13 Dec
vertigo6–13-0.068%10 Dec
anubis16–14-0.0111%10 Dec
vertigo5–13-0.047%9 Dec
ancient13–70.0313%9 Dec
nuke13–110.019%9 Dec
mirage15–150.007%9 Dec
vertigo15–15-0.0610%9 Dec
dust213–8-0.0611%9 Dec
mirage13–8-0.0229%8 Dec
dust213–10.0624%8 Dec
ancient13–9-0.059%8 Dec
mirage4–13-0.097%8 Dec
nuke13–100.026%8 Dec
ancient11–13-0.055%5 Dec
dust25–13-0.027%3 Dec
nuke11–13-0.107%2 Dec
anubis13–90.0512%2 Dec
vertigo13–9-0.088%21 Nov
mirage16–14-0.016%21 Nov
vertigo9–13-0.025%15 Nov
train13–8-0.019%14 Nov
nuke13–110.0413%13 Nov
anubis13–8-0.087%10 Nov
mirage13–60.0210%10 Nov
nuke5–13-0.0417%10 Nov
anubis9–13-0.046%8 Nov
mirage13–80.0314%6 Nov
anubis13–100.0127%6 Nov
mirage13–80.004%6 Nov
nuke11–13-0.035%5 Nov
mirage1–13-0.0418%4 Nov
dust213–110.028%4 Nov
vertigo8–13-0.0616%3 Nov
mirage11–13-0.019%3 Nov
anubis10–13-0.0511%3 Nov
dust213–10-0.069%2 Nov
anubis11–13-0.029%1 Nov
nuke13–16-0.027%24 Oct
mirage11–13-0.0115%22 Oct
italy10–13-0.0219%21 Oct

Match data via Leetify.

Recent teammates

Milestones

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