Modesty

Modesty — CS2 Stats

DE76561197972778802[U:1:12513074]Steam profile ↗✓ No bans

4,759Tracked matches40%Win rate2020Tracked since
CSDB Rating3.1 LearningPositional Player
Premier CS Rating8,905Light Blue band · top ~60.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,905 -1,576 26 Aug – 29 Sept · 25 days played
7,45311,169peak 11,16926 Aug29 Sept
11,455Peak Premier in tracked matches
25Days played since 2026-08-26

Premier CS Rating

  • 2,264 below peak (11,169)
  • -1,837 over 30 days · declining
  • Next: Blue band at 10,000 — 1,095 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGModestyFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,905 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning44
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateLWWLWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.0pp headshot accuracy · −27ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 587ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 608ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 621ms

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 (+2.2 against its own average).

Aim3.8
Utility3.6
Positioning4.4
Opening Duels0.9
Clutch0.0

Limited utility dependence

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 75% 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

Areas to improve

Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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
Positioning4.4
Utility3.6
Mechanics2.6
Opening Duels2.9
Win Impact1.7

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time605ms−4ms
first ⅓ avg 609ms → last ⅓ avg 605ms
Headshot accuracy11.7%+0.3%
first ⅓ avg 11.5% → last ⅓ avg 11.7%

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.

Personal bests

0.11Best match rating · 13–3 · dust2, 6 Sept →
23%Best headshot accuracy · 13–6 · anubis, 21 Sept →
461msFastest reaction time · 6–13 · inferno, 21 Sept →
13–0Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
1–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%-0.03
nukeA2112–957%0.01
anubisC156–940%-0.02
ancientD122–1017%-0.00
infernoB115–645%-0.01
mirageB84–450%0.02
cacheS54–180%-0.03
office—20–20%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
22%Win rate
0.67Avg K/D
53.8ADR
46%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Cache20%0.446.0
Ancient250%0.8815.0
Nuke10%0.8016.0

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.

12.2%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.1%Spray accuracy
61.7%Counter-strafing
11.7°Preaim
609msReaction time
47.8%T opening success
35.7%CT opening success
0.36Enemies flashed / flash
4.7%Flash assists
9.68HE damage / grenade
2.64Flashes / 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. 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 12.1998% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3639 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 35.7381% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–130.029%29 Sept →
dust213–6-0.044%29 Sept →
anubis13–10-0.046%29 Sept →
dust26–13-0.0516%29 Sept →
mirage13–80.0011%29 Sept →
mirage10–130.0610%28 Sept →
inferno13–70.056%28 Sept →
dust21–13-0.0711%28 Sept →
dust25–13-0.0712%28 Sept →
mirage13–80.0214%28 Sept →
anubis10–13-0.0520%27 Sept →
inferno13–10-0.044%25 Sept →
dust211–13-0.0510%25 Sept →
cache13–7-0.0211%25 Sept →
nuke13–4-0.0015%25 Sept →
dust25–13-0.0718%25 Sept →
inferno13–100.1011%25 Sept →
mirage6–13-0.0015%25 Sept →
ancient9–13-0.085%24 Sept →
anubis0–6-0.070%22 Sept →
dust213–110.0320%22 Sept →
anubis13–6-0.0223%21 Sept →
inferno6–13-0.0611%21 Sept →
dust210–13-0.057%17 Sept →
nuke10–130.0314%17 Sept →
nuke10–130.0421%16 Sept →
nuke3–13-0.0512%16 Sept →
ancient6–130.0013%16 Sept →
mirage13–60.0112%16 Sept →
ancient6–13-0.0519%14 Sept →
inferno7–130.0613%14 Sept →
nuke4–13-0.066%14 Sept →
ancient5–13-0.039%14 Sept →
nuke13–80.0115%14 Sept →
inferno16–120.0014%14 Sept →
dust25–130.0312%13 Sept →
dust213–70.016%13 Sept →
dust213–6-0.0416%13 Sept →
nuke13–6-0.0010%13 Sept →
dust216–13-0.0315%13 Sept →
ancient9–13-0.047%13 Sept →
nuke13–60.037%13 Sept →
nuke13–70.037%13 Sept →
nuke10–13-0.029%13 Sept →
cache7–13-0.047%12 Sept →
anubis8–130.017%12 Sept →
ancient13–90.0710%12 Sept →
cache13–90.0212%12 Sept →
nuke13–40.088%11 Sept →
anubis15–15-0.0318%11 Sept →
nuke8–13-0.0010%10 Sept →
nuke16–130.034%10 Sept →
anubis10–130.008%10 Sept →
inferno9–13-0.0417%10 Sept →
dust210–13-0.0611%10 Sept →
mirage11–13-0.018%10 Sept →
inferno11–13-0.0216%10 Sept →
ancient15–15-0.0111%9 Sept →
cache13–10-0.0914%9 Sept →
dust26–13-0.0413%9 Sept →
dust23–13-0.076%9 Sept →
dust21–13-0.039%9 Sept →
ancient10–130.0111%9 Sept →
ancient13–50.0419%7 Sept →
dust214–16-0.0517%7 Sept →
dust213–30.1115%6 Sept →
nuke8–13-0.0022%6 Sept →
mirage13–160.019%6 Sept →
anubis13–70.0012%6 Sept →
ancient13–16-0.0212%5 Sept →
anubis13–20.005%5 Sept →
dust213–7-0.0310%5 Sept →
cache13–10-0.033%5 Sept →
dust26–13-0.0114%5 Sept →
anubis13–80.017%4 Sept →
nuke6–13-0.0420%4 Sept →
nuke13–00.0113%4 Sept →
dust213–7-0.0012%4 Sept →
anubis2–13-0.0314%4 Sept →
inferno5–13-0.0615%4 Sept →
nuke8–130.0022%4 Sept →
anubis14–160.0015%4 Sept →
inferno11–13-0.0412%3 Sept →
inferno13–9-0.065%3 Sept →
dust216–130.018%3 Sept →
nuke13–70.066%3 Sept →
office8–13-0.028%3 Sept →
office10–130.0310%3 Sept →
dust213–3-0.0320%1 Sept →
anubis13–4-0.0514%1 Sept →
nuke13–2-0.048%1 Sept →
dust211–13-0.012%1 Sept →
mirage13–70.0518%1 Sept →
anubis10–13-0.0215%1 Sept →
dust211–130.0112%31 Aug →
ancient12–160.0415%31 Aug →
anubis4–13-0.0018%31 Aug →
dust26–13-0.0610%30 Aug →
nuke13–100.1012%27 Aug →
nuke13–6-0.064%26 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 →

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